Name: Prof. Xiao-Zhi Gao

E-mail: xiao-zhi.gao@uef.fi

Phone Number: 00358 40 4134282

Academic Education

• 1999, D.Sc. (Tech.), Electrical Engineering, Helsinki University of Technology, Finland.
• 1996, M.Sc., Electrical Engineering, Harbin Institute of Technology, China.
• 1993, B.Sc., Electrical Engineering, Harbin Institute of Technology, China.

Working Experiences

• April 2018 - Professor in University of Eastern Finland, Finland.
• October 2016 - March 2018, Senior Research Fellow in Lappeenranta University of Technology, Finland.
• January - February 2016, Data Scientist in GIM Oy, Finland.
• November - December 2015, Senior Visiting Researcher in University of Jyväskylä, Finland
• January 2015 - Project Manager and Coordinator in Dynavio Oy, Finland.
• December 2005 - Visiting Professor in Beijing Normal University, China.
• January 2004 - Docent and Research Group Leader in Aalto University, Finland.
• December 2004 - Adjunct Professor in Harbin Institute of Technology, China.
• November 2010 - December 2013, Professor of Special Appointment (Eastern Scholar) in Shanghai Maritime University, China.
• December 1999 - December 2003, Senior Research Fellow in Helsinki University of Technology, Finland.
• October 1997 - November 1999, Research Scientist in Helsinki University of Technology, Finland.
• September 1996 - September 1997, Researcher in Helsinki University of Technology, Finland.
• September 1995 - August 1996, Teaching Assistant in Harbin Institute of Technology, China.
• July 1993 - August 1995, Research Assistant in Harbin Institute of Technology, China.

Academic Activities

Scientific Activities (Projects)

• Participant, Bio-based Dyes and Pigments for Colour Palette, 2,000,000 euro, Academy of Finland, Finland, 2020 - 2026
• Project manager and coordinator, Dimensional Analysis Conceptual Modelling (DACM): A Comprehensive Framework for Specifying, Validating, and Analyzing Systems Models from a Model-based System Engineering Perspective, 170,000 USD, United States Department of Defense, USA, 2015 - 2017
• Project leader, Development of Evolutionary Multi-objective Optimization Algorithms and Software for 3D Printing Systems, 6,000 euro, Chinese Academy of Sciences, China, 2016 - 2017
• Project leader, Studies on Intelligent Processing Methods for EEG/ECoG Signals in Brain-Computer Interface, 320,000 euro, Academy of Finland, Finland, 2010 - 2012
• Major participant, Computational Methods in Mechanical Engineering Product Development, 1,300,000 euro, Tekes, Finland, 2012 - 2014
• Major participant, Force and Vibration as Fault Indicators for Electrical Machines, 500,000 euro, Tekes, Finland, 2009 - 2012
• Major participant, Artificial Immune Systems and Applications ¾ A Soft Computing Approach, 260,000 euro, Academy of Finland, Finland, 2006 - 2008
• Major participant, Linguistic Information Feedback-based Dynamical Fuzzy Systems (LIFDFS) with Applications, 150,000 euro, Academy of Finland, Finland, 2003 - 2005
• Project leader, Soft Computing Methods for Fault Diagnostics in Electric Drives, 80,000 euro, Academy of Finland, Finland, 2001 - 2002
• Major participant, Soft Computing Methods for Control and Diagnosis with Applications in Electric Drives, 70,000 euro, Academy of Finland, Finland, 1999 - 2000

Scientific Activities (Organizations)

• Member of Academic Advisory Board of Jagran Lakecity University, India, 2017 -.
• Member of Fuzzy Systems Technical Committee of IEEE Computational Intelligence Society, 2006-.
• Member of Intelligent Systems Applications Technical Committee of IEEE Computational Intelligence Society, 2005 -.
• Member of International Computational Intelligence Society, 2004 -.
• Member of Scientific Committee of World Scientific and Engineering Academy and Society, 2003 -.
• Member of Industrial Applications (Systems) Technical Committee of IEEE Systems, Man, and Cybernetics Society, 2000 -.

Awards

• International collaboration grant from Academy of Finland, Finland, 2013.
• Best Poster Paper Award from 2011 International Conference on Intelligent Systems and Knowledge Engineering, 2011.
• Seminar organizing award from IEEE Industry Applications Society, 2006.
• Workshop organizing grant from Finnish Cultural Foundation, Finland, 2005.
• International collaboration grant from Research Foundation of Helsinki University of Technology, Finland, 2005.
• Workshop organizing grant from Academy of Finland, Finland, 2005.
• Workshop organizing grant from IEEE Finland Section, Finland, 2004.
• Postdoc Research Fellowship of National Graduate School of Electronics, Telecommunications, and Automation, Finland, 2001 - 2002
• Outstanding Award for Overseas Chinese Scholars of Chinese Ministry of Education, 2001.
• Visiting Fellowship of Berkeley Initiative in Soft Computing at University of California-Berkeley, 2000.
• Award for exceptionally fast D.Sc. graduation of Helsinki University of Technology, Finland, 1999.
• Research Scientist fellowship from National Graduate School of Electronics, Telecommunications, and Automation, Finland, 1997 - 1999
• Scholarship of Center for International Mobility, Finland, 1996 - 1997

• Computer Science
• Engineering
• Automation & Control Systems
• Telecommunications
• Robotics

• R. Zheng, Y. Zhang, X. Sun, D. W. Gong, and X. Z. Gao, "An interval multi-objective evolutionary generation algorithm for product design change plans in uncertain environments," IEEE Transactions on Evolutionary Computation, in press.
• H. Wu, Y. Liang, X. Z. Gao, J.-N. Heng, and P. Du, "AVI-Net: Audio-visual-integration inspired deep network with application to short-term air temperature forecasting," Expert Systems with Applications, in press.
• H. O. Arifi and X. Z. Gao, "Training maze craze computer game using reinforcement learning," Journal of Computer Sciences and Informatics, in press.
• N. Ning, S. Tian, H. Li, W. Li, C. Liu, and X. Z. Gao, "Heterogeneous agents trajectory prediction with dynamic interaction relational reasoning," Neurocomputing, vol. 647, 2025.
• A. Slathia, A. Sharma, P. B. Krishna, S. Anand, A. Rathi, L. Joseph, and X. Z. Gao, "SHERA: SHAP-Enhanced Resource Allocation for VM scheduling and efficient cloud computing," IEEE Access, vol. 13, 2025.
• B. Xu, Y. Zheng, W. Li, X. Z. Gao, D. W. Gong, J. He, and Z. Fan, "Handling multiobjective optimization problems with complex constraints: A constraints grouping-based approach," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 55, 2025.
• W. Zhu, X. Liu, Y. Liu, Y. Shen, X. Z. Gao, and S. Shen, "RT-A3C: Real-time asynchronous advantage actor-critic for optimally defending malicious attacks in edge-enabled industrial Internet of Things," Journal of Information Security and Applications, vol. 91, 2025.
• H. Wu, Y. Liang, X. Z. Gao, J.-N. Heng, and Z. Chen, "Sleep-induced network with reducing information loss for short-term load forecasting," IEEE Transactions on Power Systems, vol. 40, 2025.
• J. Hu, L. Chen, Y. Miao, S. Shen, and X. Z. Gao, "PSBD-EWT-EGAN: Heart sound denoising using PSBD-EWT and enhancement generative adversarial network," Computer Science and Information Systems, vol. 25, 2025.
• W. Yu, J. Fu, Y. Zhao, H. Shi, X. Chen, S. Shen, and X. Z. Gao, "Link prediction in bipartite networks via deep autoencoder-like nonnegative matrix factorization," Applied Soft Computing, vol. 169, 2025.
• J. Ma, Y. Zhang, D. W. Gong, X. Z. Gao, and C. Peng, "Two-stage cooperation multiobjective evolutionary algorithm guided by constraint-sensitive variables," IEEE Transactions on Cybernetics, vol. 55, 2025.
• X. F. Ji, Y. Zhang, C. He, J. Cheng, D. W. Gong, X. Z. Gao, and Y. Guo, "Surrogate and autoencoder-assisted multitask particle swarm optimization for high-dimensional expensive multimodal problems," IEEE Transactions on Evolutionary Computation, vol. 28, 2024.
• G. K. Mahato, A. Banerjee, S. K. Chakraborty, and X. Z. Gao, "Privacy preserving verifiable federated learning scheme using blockchain and homomorphic encryption," Applied Soft Computing, vol. 167, 2024.
• F. Lu, G. Liu, and X. Z. Gao, "Image retrieval using multilayer feature aggregation histogram," Cognitive Computation, vol. 16, 2024.
• P. Sun, S. Shen, Y. Wan, Z. Wu, Z. Fang, and X. Z. Gao, "A survey of IoT privacy security: architecture, technology, challenges, and trends," IEEE Internet of Things Journal, vol. 11, 2024.
• Y. Zhou, Y. Liu, N. Ning, L. Wang, Z. Zhang, X. Z. Gao, and N. Lu, "Integrating knowledge representation into traffic prediction: a spatial-temporal graph neural network with adaptive fusion features," Complex & Intelligent Systems, vol. 10, 2024.
• J. Ye, X. Z. Gao, Z. Li, J. Wu, X. Xu, and X. Zheng, "BTDA: Basis transformation based distribution alignment for imbalanced semi supervised learning," International Journal of Machine Learning and Cybernetics, vol. 15, 2024.
• H. Wu, X. Z. Gao, and J.-N. Heng, "Bio-multisensory-inspired gate-attention coordination model for forecasting short-term significant wave height," Energy, vol. 294, 2024.
• H. Zhang, X. Z. Gao, Z. Wang, and G. Wang, "Guest editorial of the special section on neural computing-driven artificial intelligence for consumer electronics," IEEE Transactions on Consumer Electronics, vol. 70, 2024.
• H. Wu, X. Z. Gao, J.-N. Heng, X. Wang, and X. Lu, "Bionic fusion perspective: Audiovisual-motivated integration network for solar irradiance prediction," Energy Conversion and Management, vol. 314, 2024.
• H. Wu, Y. Liang, X. Z. Gao, and P. Du, "Auditory-circuit-motivated deep network with application to short-term electricity price forecasting," Energy, vol. 288, 2024.
• A. Fouad, A. Abboudi, C. Huyck, X. Z. Gao, S. Bououden, I. Boulkaibet, N. Khezami, and H. Shall, "Enhancing individual UAV path planning with Parallel Multi-Swarm Treatment Coronavirus Herd Immunity Optimizer (PMST-CHIO) algorithm," IEEE Access, vol. 12, 2024.
• . Li, S. Yu, X. Z. Gao, Y. Yan, and Y. Zhao, "Path planning and obstacle avoidance control of UUV based on an enhanced A* algorithm and MPC in dynamic environment," Ocean Engineering, vol. 302, 2024.
• P. Marwein, S. Sur, X. Z. Gao, and D. Kandar, "A recent survey on internet of vehicles: challenges & solutions," Journal of Testing and Evaluation, vol. 52, 2024.
• H. Wu, Y. Liang, J.-N. Heng, C.-X. Ma, and X. Z. Gao, "MSV-Net: Multi-scale visual-inspired network for short-term electricity price forecasting," Energy, vol. 291, 2024.
• H. Wu, Y. Liang, X. Z. Gao, and J. Heng, "Bionic-inspired oil price prediction: Auditory multi-feature collaboration network," Expert Systems with Applications, vol. 244, 2024.
• X. Cao, J. Lin, X. Z. Gao and Z. Li, "Integrating convolution and transformer for enhanced diabetic retinopathy detection," International Journal of Bio-Inspired Computation, vol. 23, 2024.
• Y. Zhang, Y. Hu, X. Z. Gao, D. Gong, Y. Guo, K. Gao, and W. Zhang, "An embedded vertical-federated feature selection algorithm based on particle swarm optimisation," CAAI Transactions on Intelligence Technology, vol. 8, no. 3, 2023.
• R. Jain, K. P. Singh, A. Meena, K. B. Rana, M. L. Meena, G. S. Dangayach, and X. Z. Gao, "Application of proposed hybrid active genetic algorithm for optimization of traveling salesman problem," Soft Computing, vol. 27, 2023.
• Z. Lan, B. Zhang, J. Wen, Z. Cui, and X. Z. Gao, "A multi-objective sequential three-way decision approach for real-time malware detection," Applied Intelligence, vol. 53, 2023.
• H. Wu, Y. Liang, X. Z. Gao, P. Du, and S.-P. Li, "Human-cognition-inspired deep model with its application to ocean wave height forecasting," Expert Systems with Applications, vol. 230, 2023.
• Y. Zhang, X. F. Ji, X. Z. Gao, D. W. Gong, and X. Y. Sun, "Objective-constraint mutual-guided surrogate-based particle swarm optimization for expensive constrained multimodal problems," IEEE Transactions on Evolutionary Computation, vol. 27, 2023.
• M. Ghosh, H. Mukhrjee, S. M. Obaidullah, X. Z. Gao, and K. Roy, "Scene text understanding: recapitulating the past decade," Artificial Intelligence Review, vol. 56, 2023.
• W. Hu, C. Fu, R. Cao, Y. Zang, X.-J. Wu, S. Shen, and X. Z. Gao, "Joint dual-stream interaction and multi-scale feature extraction network for multi-spectral pedestrian detection," Applied Soft Computing, vol. 147, 2023.
• T. Ye, Z. Zheng, X. Li, Z. Zhao, and X. Z. Gao, "An efficient few-shot object detection method for railway intrusion via fine-tune approach and contrastive learning," IEEE Transactions on Instrumentation and Measurement, vol. 72, 2023.
• H. Wu, Y. Liang, and X. Z. Gao, "Left-right brain interaction inspired bionic deep network for forecasting significant wave height," Energy, vol. 278, Part B, 2023.
• M. S. Devadas, N. Bhalaji, and X. Z. Gao, "A modified firefly optimization algorithm-based fuzzy packet scheduler for MANET," Intelligent Automation and Soft Computing, vol. 36, 2023.
• F. Allouani, A. Abboudi, X. Z. Gao, S. Bououden, I. Boulkaibet, N. Khezami, and F. Lajmi, "A spider monkey optimization based on beta-hill climbing optimizer for Unmanned Combat Aerial Vehicle (UCAV)," Applied Sciences, vol. 13, 2023.
• J. J. Ji, Y. N. Guo, X. Z. Gao, D. W. Gong, and Y. P. Wang, "Q-learning-based hyper-heuristic evolutionary algorithm for dynamic task allocation of crowdsensing," IEEE Transactions on Cybernetics, vol. 53, 2023.
• Y. Li, Y. Lu, D. Li, M. Zhou, C. Xu, X. Z. Gao, and Y. Liu, "Trajectory optimization of high-speed robotic positioning with suppressed motion jerk via improved chicken swarm algorithm," Applied Sciences, vol. 13, 2023.
• J. Ren, Y. Wang, Y. Cheung, X. Z. Gao, and X. Guo, "Grouping-based oversampling in kernel space for imbalanced data classification," Pattern Recognition, vol. 133, 2023.
• Z.-Y. Li, J. Hyttinen, R. Räisänen, X. Z. Gao, and M. Hauta-Kasari, "Unsupervised spectral analysis of bio-dyed textile samples," International Journal of Network Dynamics and Intelligence, vol. 2, no. 2, 2023.
• H. Wang, C. Sun, G. Xie, X. Z. Gao, and F. Akhtar, "A performance approximation assisted expensive many-objective evolutionary algorithm," Information Sciences, vol. 625, 2023.
• V. K. Manojkumar, M. Senthilkumar, and X. Z. Gao, "An experimental investigation on unsupervised text summarization for customer reviews," Procedia Computer Science, vol. 218, 2023.
• Y. Hu, Y. Zhang, X. Z. Gao, D. Gong, X. Song, Y. Guo, and J. Wang, "A federated feature selection algorithm based on particle swarm optimization under privacy protection," Knowledge-Based Systems, vol. 260, 2023.
• Y. Zhou, Z. Liu, H. Shi, S. Li, N. Ning, F. Liu, and X. Z. Gao, "Cooperative multi-agent target searching: a deep reinforcement learning approach based on parallel hindsight experience replay," Complex & Intelligent Systems, vol. 9, 2023.
• T. Ye, W. Qin, Z. Zhao, X. Z. Gao, X. Deng, and Y. Ouyang, "Real-time object detection network in UAV-vision based on CNN and transformer," IEEE Transactions on Instrumentation and Measurement, vol. 72, 2023.
• T. Ye, Z. Zhao, S. Wang, F. Zhou, and X. Z. Gao, "A stable lightweight and adaptive feature enhanced convolution neural network for efficient railway transit object detection," IEEE Transactions on Intelligent Transportation Systems, vol. 23, 2022.
• H. Wang, H. Xu, Y. Meng, X. Ge, A. Lin, and X. Z. Gao, "Deep learning-based 3D pose reconstruction of an underwater soft robotic hand and its biomimetic evaluation," IEEE Robotics and Automation Letters, vol. 7, no. 4, 2022.
• S. Deb and X. Z. Gao, "A hybrid ant lion optimization chicken swarm optimization algorithm for charger placement problem," Complex & Intelligent Systems, vol. 8, 2022.
• L. Liu, Y. Liu, X. Z. Gao, and X. Zhang, "Immersive human-computer interactive game framework based on deep learning for children concentration training," Healthcare, vol. 10, 2022.
• K. Hu, L. Zhao, S. Feng, S. Zhang, Q. Zhou, X. Z. Gao, and Y. Guo, "Colorectal polyp region extraction using saliency detection network with neutrosophic enhancement," Computers in Biology and Medicine, vol. 147, 2022.
• P. V. Rajesh, K. Kalita, and X. Z. Gao, "Process modelling and experimental analysis of optimal specimen selection in organic CMCs," Computers, Materials & Continua, vol. 70, 2022.
• K. J. Singh, D. S. Kapoor, K. Thakur, A. Sharma, and X. Z. Gao, "Computer-vision based object detection and recognition for service robot in indoor environment," Computers, Materials & Continua, vol. 72, 2022.
• X. F. Song, Y. Zhang, D. W. Gong, and X. Z. Gao, "A fast hybrid feature selection based on correlation-guided clustering and particle swarm optimization for high-dimensional data," IEEE Transactions on Cybernetics, vol. 52, no. 9, 2022.
• Z. Zhang, D. Wang, and X. Z. Gao, "Improved stabilization condition for delayed fuzzy systems under imperfect premise matching," Control Theory and Technology, vol. 39, 2022.
• S. Deb, K. Tammi, X. Z. Gao, K. Kalita, P. Mahanta, and S. Cross, "A robust two-stage planning model for charging station placement problem considering road traffic uncertainty," IEEE Transactions on Intelligent Transportation Systems, vol. 23, 2022.
• H. Tang, J. Qian, Y. Liu, and X. Z. Gao, "Mining statistically significant patterns with high utility," International Journal of Computational Intelligence Systems, vol. 15, 2022.
• V. M. K. Prasad Goura, M. Moulesh, N. Madhusudanarao, and X. Z. Gao, "An efficient and enhancement of recent approaches to build an automated essay scoring system," Procedia Computer Science, vol. 215, 2022.
• P. Sun, S. Shen, Z. Wu, H. Zhou, and X. Z. Gao, "Stimulating trust cooperation in edge services: An evolutionary tripartite game," Engineering Applications of Artificial Intelligence, vol. 116, 2022.
• S. Deb and X. Z. Gao, "Charging demand prediction of electric city buses of Helsinki, Finland by random forest," Energies, vol. 15, 2022.
• E. B. Priyanka, S. Thangavel, X. Z. Gao, and N. S. Sivakumar, "Digital twin for oil pipeline risk estimation using prognostic and machine learning techniques," Journal of Industrial Information Integration, vol. 26, 2022.
• T. Ye, J. Zhang, Z. Zhang, Y. Zhang, F. Zhou, and X. Z. Gao, "Fault detection of train mechanical parts using multi-mode aggregation feature enhanced convolution neural network," International Journal of Machine Learning and Cybernetics, vol. 13, 2022.
• X. Guo, Y. Wang, and X. Z. Gao, "Two-stage adaptive weight vector design method for decomposition based many-objective evolutionary algorithm," International Journal of Ad Hoc and Ubiquitous Computing, vol. 39, 2022.
• S. Mahajan, A. Raina, M. Abouhawwash, X. Z. Gao, and A. K. Pandit, "Covid-19 detection from chest X-ray images using advanced deep learning techniques," Computers, Materials & Continua, vol. 70, 2022.
• W. Deng, J. Xu, X. Z. Gao, and H. Zhao, "An enhanced MSIQDE algorithm with novel multiple strategies for global optimization problems," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 52, 2022.
• S. Mahajan, A. Raina, X. Z. Gao, and A. K. Pandit, "COVID-19 detection using hybrid deep learning model in chest X-rays images," Concurrency and Computation: Practice and Experience, vol. 34, 2022.
• R. Rajkamal, A. Karthi, and X. Z. Gao, "Diabetes prediction using derived features and ensembling of boosting classifiers," Computers, Materials & Continua, vol. 73, 2022.
• N. Ganesh, U. Ragavendran, K. Kalita, P. Jain, and X. Z. Gao, "Multi-objective high-fidelity optimization using NSGA-III and MO-RPSOLC," Computer Modeling in Engineering & Sciences, vol. 129, no. 2, 2021.
• A. Natarajan, B. S. Babu, and X. Z. Gao, "Signature warping and greedy approach based offline signature verification," International Journal of Information Technology, vol. 13, 2021.
• S. Paliwal, A. K. Cherukuri, and X. Z. Gao, "Dynamic private modulus based password conditional privacy preserving authentication and key-agreement protocol for VANET," Personal Wireless Communications, 2021.
• L. Liu, Y. Liu, X. Z. Gao, and X. Zhang, "Flexible ultra-wide electro-optic frequency combs for high-capacity tunable 5G+ millimeter-wave frequency synthesizer," Applied Sciences, vol. 11, 2021.
• K. S. Sankaran and X. Z. Gao, "An iterative scheme for optimal and energy effective power allocation using multi-scale resource GOA-EM in distributed antenna system," Journal of Intelligent & Fuzzy Systems, vol. 41, 2021.
• M. Joshi, R. K. Ghadai, S. Madhu, K. Kalita, and X. Z. Gao, "Comparison of NSGA-II, MOALO and MODA for multi-objective optimization of micro-machining processes," Materials, vol. 14, 2021.
• M. Ghosh, S. S. Roy, H. Mukherjee, S. M. Obaidullah, X. Z. Gao, and K. Roy, "Movie title extraction and script separation using shallow convolution neural network," IEEE Access, vol. 9, 2021.
• W. Tong, S. Liu, and X. Z. Gao, "A density-peak-based clustering algorithm of automatically determining the number of clusters," Neurocomputing, vol. 458, 2021.
• D. Shinde, H. Öktem, K. Kalita, S. Chakraborty, and X. Z. Gao, "Optimization of process parameters for friction materials using multi-criteria decision making: A comparative analysis," Processes, vol. 9, 2021.
• K. S. Sankaran, X. Z. Gao, K. R. Devabalaji, and Y. M. Roopa, "Energy based random repeat trust communication approach and reliable fuzzy and heuristic ant colony mechanism for improving QoS in WSN," Energy Reports, vol. 7, 2021.
• S. Walia, K. Kumar, M. Kumar, and X. Z. Gao, "Fusion of handcrafted and deep features for forgery detection in digital images," IEEE Access, vol. 9, 2021.
• D. K. Bebarta, T. K. Das, C. L. Chowdhary, and X. Z. Gao, "An intelligent hybrid system for forecasting stock and forex trading signals using optimized recurrent FLANN and case-based reasoning," International Journal of Computational Intelligence Systems, vol. 14, no. 1, 2021.
• L. Liu, Y. Liu, and X. Z. Gao, "Impact of human-robot proxemics on human concentration training games," Healthcare, vol. 9, 2021.
• S. Murugan, C. Venkatesan, M. G. Sumithra, X. Z. Gao, B. Elakkiya, M. Akila, and S. Manoharan, "DEMNET: A deep learning model for early diagnosis of Alzheimer diseases and dementia from MR images," IEEE Access, vol. 9, 2021.
• K. Kalita, S. Chakraborty, S. Madhu, M. Ramachandran, and X. Z. Gao, "Performance analysis of radial basis function metamodels for predictive modelling of laminated composites," Materials, vol. 14, no. 12, 2021.
• X. Z. Gao, M. S. R. Nalluri, K. Kannan, and D. S. Roy, "Multi-objective optimization of feature selection using hybrid cat swarm optimization," Science China: Technological Sciences, vol. 64, 2021.
• P. Parida, C. Pradhan, X. Z. Gao, D. S. Roy, and R. K. Barik, "Image encryption and authentication with elliptic curve cryptography and multidimensional chaotic maps," IEEE Access, vol. 9, 2021.
• S. Saravanan, M. Nithyakumar, M. Vasagan, S. Sangavi, S. N. Saran, A. M. S. Lakshmi, and X. Z. Gao, "Blossom end rot disease tracking and prevention: Smart approach," International Journal of Information Technology, vol. 13, 2021.
• W.-C. Yeh, Y.-Z. Su, X. Z. Gao, C.-F. Hu, J. Wang, and C.-L. Huang, "Simplified swarm optimization for bi-objection active reliability redundancy allocation problems," Applied Soft Computing, vol. 106, 2021.
• A. K. Goyal and X. Z. Gao, "Human opinion dynamics optimization for ICI mitigation in MC-CDMA systems," Expert Systems with Applications, vol. 175, 2021.
• K. K. Gupta, K. Kalita, R. K. Ghadai, M. Ramachandran, and X. Z. Gao, "Machine learning-based predictive modelling of biodiesel production—A comparative perspective," Energies, vol. 14, no. 4, 2021.
• Z. Zhang, D. Wang, and X. Z. Gao, "Imperfect premise matching controller design for interval Type-2 fuzzy systems under network environments," Intelligent Automation and Soft Computing, vol. 27, no. 1, 2021.
• V. Kumar, K. Kalita, S. Madhu, U. Ragavendran, and X. Z. Gao, "A hybrid genetic programming-grey wolf optimizer approach for process optimization of biodiesel production," Processes, vol. 9, 2021.
• S. Deb, X. Z. Gao, K. Tammi, K. Kalita, and P. Mahanta, "A novel chicken swarm and teaching learning based algorithm for electric vehicle charging station placement problem," Energy, vol. 220, 2021.
• S. Mahajan, A. Raina, X. Z. Gao, and A. K. Pandit, "Plant recognition using morphological features extraction and transfer learning over SVM and AdaBoost," Symmetry, vol. 13, no. 2, 2021.
• H. Wang, H. Xu, X. Z. Gao, Z. Zhao, and J. Huang, "Application of a modified harmony search algorithm in the optimal arrangement of a novel three dimensional multiphase flow imaging device," Engineering Applications of Artificial Intelligence, vol. 100, 2021.
• Z. Zhang, D. Wang, and X. Z. Gao, "Stability and stabilization condition for T-S fuzzy systems with time-delay under imperfect premise matching via an integral inequality," International Journal of Computational Intelligence Systems, vol. 14, no. 1, 2021.
• L. Yu, F. Cao, X. Z. Gao, J. Liu, and J. Liang, "k-Mnv-Rep: A k-type clustering algorithm for matrix-object data," Information Sciences, vol. 542, 2021.
• M. El A. B. Seghier, X. Z. Gao, J. Jafari-Asl, D.-K. Thai, S. Ohadid, and N.-T. Trung, "Modeling the nonlinear behavior of ACC for SCFST columns using experimental-data and a novel evolutionary-algorithm," Structures, vol. 30, 2021.
• S. Deb, X. Z. Gao, K. Tammi, K. Kalita, and P. Mahanta, "Nature-inspired optimization algorithms applied for solving charging station placement problem: Overview and comparison," Archives of Computational Methods in Engineering, vol. 28, 2021.
• Y. Song, D. Wu, W. Deng, X. Z. Gao, T. Li, B. Zhang, and Y. Li, "MPPCEDE: Multi-population parallel co-evolutionary differential evolution for parameter optimization," Energy Conversion and Management, vol. 228, 2021.
• G. T. Reddy and X. Z. Gao, "An efficient attribute reduction and fuzzy logic classifier for heart disease and diabetes prediction," Recent Advances in Computer Science and Communications, vol. 14, no. 1, 2021.
• K. Vikram, U. Ragavendran, K. Kalita, R. K. Ghadai, and X. Z. Gao, "Hybrid metamodel-NSGA-III-EDAS based optimal design of thin film coatings," Computers, Materials & Continua, vol. 66, no. 2, 2021.
• O. S. Balogun, X. Z. Gao, E. T. Jolayemi, and S. A. Olaleye, "Generalized cure rate model for infectious diseases with possible co-infections," PLOS ONE, vol. 15, no. 9, 2020.
• Z. Zhang, D. Wang, P. Li, and X. Z. Gao, "Design of an observer-based controller for T-S fuzzy time-delay systems under imperfect premise matching," Intelligent Automation and Soft Computing, vol. 26, no. 5, 2020.
• N. Singh, D. Virmani, and X. Z. Gao, "A fuzzy logic-based method to avert intrusions in wireless sensor networks using WSN-DS dataset," International Journal of Computational Intelligence and Applications, vol. 19, no. 3, 2020.
• M. S. R. Nalluri, K Kannan, X. Z. Gao, and D. S. Roy, "Multiobjective hybrid monarch butterfly optimization for imbalanced disease classification problem," International Journal of Machine Learning and Cybernetics, vol. 11, 2020.
• A. Khamparia, S. K. Singh, A. K. Luhach, and X. Z. Gao, "Classification and analysis of users review using different classification techniques in intelligent e-learning system," International Journal of Intelligent Information and Database Systems, vol. 13, 2020.
• S. Vimal, L. Kalaivani, M. Kaliappan, A. Suresh, X. Z. Gao, and R. Varatharajan, "Development of secured data transmission using machine learning-based discrete-time partially observed Markov model and energy optimization in cognitive radio networks," Neural Computing and Applications, vol. 32, 2020.
• S. Deb, K. Tammi, X. Gao, K. Kalita, and P. Mahanta, "A hybrid multi-objective chicken swarm optimization and teaching learning based algorithm for charging station placement problem," IEEE Access, vol. 8, 2020.
• S. Rajendran, K. Krithivasan, M. Doraipandian, and X. Z. Gao, "Fast pre-processing hex Chaos triggered color image crypto system," Multimedia Tools and Applications, vol. 79, 2020.
• N. Ganesh, R. K. Ghadai, A. K. Bhoi, K. Kalita, and X. Z. Gao, "An intelligent predictive model-based multi-response optimization of EDM process," Computer Modeling in Engineering & Sciences, vol. 124, no. 2, 2020.
• A. P. Singh, A. K. Luhach, X. Z. Gao, S. Kumar, and D. S. Roy, "Evolution of wireless sensor network design from technology centric to user centric: An architectural perspective," International Journal of Distributed Sensor Networks, vol. 16, no. 8, 2020.
• R. Logesh, V. Subramaniyaswamy, V. Vijayakumar, X. Z. Gao, and G.-G. Wang, "Hybrid bio-inspired user clustering for the generation of diversified recommendations," Neural Computing and Applications, vol. 32, 2020.
• T. K. Das, C. L. Chowdhary, and X. Z. Gao, "Chest X-ray investigation: A convolutional neural network approach," Journal of Biomimetics, Biomaterials and Biomedical Engineering, vol. 45, 2020.
• J. Wang, H. Li, X. Zhou, X. Z. Gao, and M. Wang, "A study of hepatic fibrosis staging methods using diffraction enhanced imaging," EURASIP Journal on Image and Video Processing, vol. 32, 2020.
• M. S. R. Nalluri, K. Kannan, X. Z. Gao, V. Swaminath, and D. S. Roy, "Parameter evolution of the classifiers for disease diagnosis with offline data-driven hybrid systems," Intelligent Data Analysis, vol. 24, no. 6, 2020.
• N. Sivaramakrishnan, V. Subramaniyaswamy, L. Ravi, V. Vijayakumar, and X. Z. Gao, and S. L. Rakshana Sri, "An effective user clustering-based collaborative filtering recommender system with grey wolf optimisation," International Journal of Bio-Inspired Computation, vol. 16, no. 1, 2020.
• K. Kalita, P. Dey, S. Haldar, and X. Z. Gao, "Optimizing frequencies of skew composite laminates with metaheuristic algorithms," Engineering with Computers, vol. 36, 2020.
• S. Deb, X. Z. Gao, K. Tammi, K. Kalita, and P. Mahanta, "A new teaching-learning-based chicken swarm optimization algorithm," Soft Computing, vol. 24, 2020.
• S. Palani, L. Ravi, V. Varadarajan, S. Vairavasundaram, and X. Z. Gao, "Malicious route detection in vehicular Ad-hoc network using geographic routing with masked data," Recent Advances in Computer Science and Communications, vol. 13, no. 3, 2020.
• M. W. Hussain, B. Pradhan, X. Z. Gao, K. H. K. Reddy, and D. S. Roy, "Clonal selection algorithm for energy minimization in software defined networks," Applied Soft Computing, vol. 96, 2020.
• R. K. Ghadai, K. Kalita, and X. Z. Gao, "Symbolic regression metamodel based multi-response optimization of EDM process," FME Transactions, vol., 48, no. 2, 2020.
• Y. Zhang, D. Gong, X. Z. Gao, T. Tian, and X. Sun, "Binary differential evolution with self-learning for multi-objective feature selection," Information Sciences, vol. 507, 2020.
• P. K. Roy, A. K. Tripathy, T. K. Das, and X. Z. Gao, "A framework for hate speech detection using deep convolutional neural network," IEEE Access, vol. 8, 2020.
• R. Krishankumar, J. Premaladha, K. S. Ravichandran, K. R. Sekar, R. Manikandan, and X. Z. Gao, "A novel extension to VIKOR method under intuitionistic fuzzy context for solving personnel selection problem," Soft Computing, vol. 24, 2020.
• S. Deb, X. Z. Gao, K. Tammi, K. Kalita, and P. Mahanta, "Recent studies on chicken swarm optimization algorithm: A review (2014-2018)," Artificial Intelligence Review, vol. 53, 2020.
• A. M. Kowshalya, X. Z. Gao, and M. L. Valarmathi, "Efficient service search among social internet of things through construction of communities," Cyber-Physical Systems, vol. 6, no. 1, 2020.
• R. Logesh, V. Subramaniyaswamy, V. Vijayakumar, and X. Z. Gao, "SECRECSY: A secure framework for enhanced privacy-preserving location recommendations in cloud environment," Computers and Electrical Engineering, vol. 108, 2019.
• S. Gupta, R. C. Poonia, and X. Z. Gao, "Performance evaluation of flooding based routing protocol for delay tolerant networks," International Journal of Recent Technology and Engineering, vol. 7, 2019.
• B. K. Mandal, D. Bhattacharyya, and X. Z. Gao, "Data security using 512 bits symmetric key based cryptography in cloud computing system," International Journal of Advanced Science and Technology, vol. 129, 2019.
• A. Fouad and X. Z. Gao, "A novel modified flower pollination algorithm for global optimization," Neural Computing and Applications, vol. 31, 2019.
• X. B. Meng, H. X. Li, and X. Z. Gao, "An adaptive reinforcement learning based bat algorithm with habitat selection for engineering optimization," International Journal of Bio-inspired Computation, vol. 14, no. 2, 2019.
• Z. Cui and X. Z. Gao, "Editorial: Evolutionary multi-objective optimization (EMO): theory and applications," International Journal of Machine Learning and Cybernetics, vol. 10, no. 8, 2019.
• Z. Cui, X. Z. Gao, and S. Deb, "Editorial: Theory and applications of soft computing methods," Neural Computing and Applications, vol. 31, no. 7, 2019.
• S. Deivalakshmi, P. Palanisamy, and X. Z. Gao, "Balanced GHM multi wavelet transform based contrast enhancement technique for dark images using dynamic stochastic resonance," Intelligent Automation and Soft Computing, vol. 25, no. 3, 2019.
• R. Sivagami, K. S. Ravichandran, R. Krishankumar, V. Sangeetha, S. Kar, X. Z. Gao, and D. Pamucar, "A scientific decision framework for cloud vendor prioritization under probabilistic linguistic term set context with unknown/partial weight information," Symmetry, vol. 11, no. 5, 2019.
• K. Ashish, S. Chattopadhyay, X. Z. Gao, and N. B. Hui, "Neural network-based diagnostic tool for identifying the factors responsible for depression," International Journal of Computational Intelligence and Applications, vol. 18, no. 2, 2019.
• K. S. Shet, A. R. Aswath, M. C. Hanumantharaju, and X. Z. Gao, "Novel high-speed reconfigurable FPGA architectures for EMD-based image steganography," Multimedia Tools and Applications, vol. 78, no. 13, 2019.
• M Poongodi, V. Vijayakumar, L. Ramanathan, X. Z. Gao, V. Bhardwaj, and T. Agarwal, "Chat-bot-based natural language interface for blogs and information networks," International Journal of Web Based Communities, vol. 15, no. 2, 2019.
• M. Rong, D. Gong, and X. Z. Gao, "Feature selection and its use in big data: challenges, methods, and trends," IEEE Access, vol. 7, 2019.
• P. Vijayakumar, C. K. Chittoju, A. V. Bharadwaja, P. P. Tayade, M. Tamilselvi, R. Rajashree, and X. Z. Gao, "FPGA implementation of AES for image encryption and decryption," International Journal of Innovative Technology and Exploring Engineering, vol. 8, 2019.
• P. Mohandas, J. S. A. Dhanaraj, and X. Z. Gao, "Artificial neural network based smart and energy efficient street lighting system: A case study for residential area in Hosur," Sustainable Cities and Society, vol. 48, 2019.
• M. A. Elhosseini, R. A. El Sehiemy, Y. I. Rashw, and X. Z. Gao, "On the performance improvement of elephant herding optimization algorithm," Knowledge-Based Systems, vol. 166, 2019.
• P. Vijaykumar, V. Ganesan, A. Sharmila, G. C. Madhu, R. Rajashree, and X. Z. Gao, "IoT based accident management system," International Journal of Recent Technology and Engineering, vol. 7, no. 6, 2019.
• S. Bhagyashri, G. Kanimozhi, C. Umayal, and X. Z. Gao, "Symptomatic influence of advancement in technology and an indicative effect on human health," International Journal of Recent Technology and Engineering, vol. 7, no. 5, 2019.
• M. S. R. Nalluri, K. Kannan, X. Z. Gao, and D. S. Roy, "An efficient hybrid meta-heuristic approach for cell formation problem," Soft Computing, vol. 23, 2019.
• P. Vijayakumar, C. A. Reddy, M. L. S. S. Aahwanik, S. Varshith, R. Krishnaprasanna, M. Tamilselvi, R. Rajashree, and X. Z. Gao, "IoT based smart mosquito killing system," International Journal of Engineering and Advanced Technology, vol. 8, no. 4, 2019.
• S. Saravanan, S. S. Kumar, M. Arun, X. Z. Gao, and M. Nithyakumar, "Certain study on fabrication of reversible quantum dot photonic integrated circuit," Caribbean Journal of Science, vol. 53, no. 2, 2019.
• M. Kumar, S. Gupta, X. Z. Gao, and A. Singh, "Plant species recognition using morphological features and adaptive boosting methodology," IEEE Access, vol. 7, 2019.
• S. Gupta, R. C. Poonia, and X. Z. Gao, "Performance evaluation of epidemic routing protocol for delay tolerant network based on node movement model," International Journal of Innovative Technology and Exploring Engineering, vol. 8, 2019.
• A. N. Afandi, A. P. Wibawa, S. Padmantara, G. Fujita, W. Triyana, Y. Sulistyorini, H. Miyauchi, N. Tutkun, M. E.-S. Mahmoud, and X. Z. Gao, "Designed operating approach of economic dispatch Java Bali power grid areas considered wind energy and pollutant emission optimized using thunderstorm algorithm based on forward cloud charge mechanism," International Review of Electrical Engineering, vol. 13, no. 1, 2018.
• N. M. Rao, K. Kannan, X. Z. Gao, and D. S. Roy, "Novel classifiers for intelligent disease diagnosis with multi-objective parameter evolution," Computers and Electrical Engineering, vol. 67, 2018.
• J. Gopal, A. K. Sangaiah, A. Basu, and X. Z. Gao, "Integrating fuzzy DEMATEL and FMCDM approach for evaluating knowledge transfer effectiveness with reference to GSD project outcome," International Journal of Machine Learning and Cybernetics, vol. 9, no. 2, 2018.
• H. Wang, H. Xu, V. Pooneeth, and X. Z. Gao, "A novel one-camera-five-mirror three-dimensional imaging method for reconstructing the cavitation bubble cluster in a water hydraulic valve," Applied Sciences, vol. 8, no. 10, 2018.
• H. Liu, Y. Wang, X. Z. Gao, C. Dang, and Z. Meng, "A parameter free filled function method for global optimization," Pacific Journal of Optimization, vol. 14, no. 4, 2018.
• R. C. Poonia, R. Dadhich, and X. Z. Gao, "Simulation-based efficient analysis of radio propagation model using on-demand routing protocols in the Indian automotive networks," International Journal of Autonomous and Adaptive Communications Systems, vol. 11, no. 1, 2018.
• R. Varatharajan, K. Vasanth, M. Gunasekaran, M. Priyan, and X. Z. Gao, "An adaptive decision based kriging interpolation algorithm for the removal of high density salt and pepper noise in images," Computers and Electrical Engineering, vol. 70, 2018.
• V. Vijayakumar, D. Rekha, and X. Z. Gao, "Editorial: sensor networks and cloud computing," International Journal of Advanced Intelligence Paradigms, vol. 10, no. 4, 2018.
• R. C. Poonia and X. Z. Gao, "Editorial: smart computing and algorithms," Computers and Electrical Engineering, vol. 67, 2018.
• S. B. Bhushan, D. C. H. P. Reddy, V. Subramanian, and X. Z. Gao, "Systematic survey on evolution of cloud architectures," International Journal of Autonomous and Adaptive Communications Systems, vol. 11, no. 1, 2018.
• R. Logesh, V. Subramaniyaswamy, V. Vijayakumar, X. Z. Gao, and V. Indragandhi, "A hybrid quantum-induced swarm intelligence clustering for the urban trip recommendation in smart city," Future Generation Computer Systems, vol. 83, 2018.
• G. Kalusuraman, I. Siva, J. T. Winowlin, X. Z. Gao, and S. C. Amico, "Fiber loading effects on dynamic mechanical properties of compression moulded luffa fiber polyester composites," International Journal of Computer Aided Engineering and Technology, vol. 10, no. 1-2, 2018.
• X. Z. Gao, A. K. Sangaiah, and V. Sugumaran, "Cloud based cyber-physical systems in the design of next-generation digital systems," Intelligent Automation and Soft Computing, vol. 23, no. 3, 2017.
• H. Xu, X. Z. Gao, Y. Xu, K. Wang, H. Yu, Z. Li, K. Alipour, and O. A. Ani, "Continuous trafficability of mobile robot with driving-failure wheels on rough terrain," Robotica, vol. 35, no. 10, 2017.
• D. Cheelu, M. R. Babu, P. V. Krishna, and X. Z. Gao, "User preferences and expert opinions based vertical handoff decision strategy with the inclusion of cost parameter for 4G networks," International Journal of Autonomous and Adaptive Communications Systems, vol. 10, no. 3, 2017.
• H. Zhang, S. Song, and X. Z. Gao, "An affinity propagation based multiobjective evolutionary algorithm for selecting optimal aiming points of missiles," Soft Computing, vol. 21, no. 11, 2017.
• X. J. Cai, X. Z. Gao, and R. Alex, "Editorial: recent advances on evolutionary multi-objective optimization," International Journal of Innovative Computing and Applications, vol. 8, no. 4, 2017.
• H. Xu, Y. Xu, P. Wang, H. Yu, O. A. Ani, and X. Z. Gao, "Measurement of wheel-terrain contact angle for WMRs on rough terrain using laser scanning sensor," Industrial Robot, vol. 44, no. 6, 2017.
• K. Sathish Shet, A. R. Aswath, M. C. Hanumantharaju, and X. Z. Gao, "Design and implementation of new reconfigurable architectures for LSB/multi-bit image steganography system," Multimedia Tools and Applications, vol. 76, no. 11, 2017.
• G. C. Madhu, P. Vijayakumar, and X. Z. Gao, "Resource constrained IoT environments: A survey," Journal of Advanced Research in Dynamical and Control Systems, vol. 9, no. 16, 2017.
• K. Geetha, S. Chitra, B. Madhusudhanan, and X. Z. Gao, "Securing patient data in wireless body area sensor network using biometrics based key generation," Current Medical Imaging Reviews, vol. 13, no. 3, 2017.
• W. Zhang, X. Huang, and X. Z. Gao, "T-S fuzzy modelling and H∞ attitude control for hypersonic gliding vehicles," Mathematical Problems in Engineering, vol. 2017, 2017.
• N. Velmurugan, S. S. Raja, and X. Z. Gao, "Introduction to the special section on recent progress in signal processing for communication," Computers & Electrical Engineering, vol. 61, 2017.
• E. Saravana Kumar, B. Madhusudhanan, and X. Z. Gao, "A framework for automated content based medical image queries in grid," Intelligent Automation and Soft Computing, vol. 23, no. 2, 2017.
• S. Gupta, R. C. Poonia, and X. Z. Gao, "Relative study of steering protocols in delay tolerant network," Journal of Statistics and Management Systems, vol. 20, 2017.
• W. Zhang, X. Huang, and X. Z. Gao, "Dynamic output feedback H∞ attitude control for hypersonic gliding vehicles," International Journal of Innovative Computing, Information and Control, vol. 13, no. 4, 2017.
• T. Jarin and X. Z. Gao, "FPGA based analysis of non-deterministic PWM in induction motor drives," Asian Journal of Applied Science and Technology, vol. 1, no. 8, 2017.
• A. N. Afandi, Y. Sulistyorini, H. Miyauchi, G. Fujita, X. Z. Gao, and M. El-Shimy, "The penetration of pollutant productions on dynamic generated power operations optimized using a novel evolutionary algorithm," International Journal on Advanced Science, Engineering and Information Technology, vol. 7, no. 5, 2017.
• R. M. Swarna Priya, S. L. Aarthy, C. Gunavathi, P. Venkatesh, K. Srinivas, and X. Z. Gao, "3D reconstruction of a scene from multiple 2D images," International Journal of Civil Engineering and Technology, vol. 8, no. 12, 2017.
• X. Z. Gao, X. Wang, and K. Zenger, "Harmony search method for optimal wind generator design," Journal of Structural Mechanics, vol. 49, no. 3, 2016.
• X. Z. Gao, A. K. Sangaiah, and M. Ramachandran, "Soft computational approaches for prediction and estimation of software development," The Scientific World Journal, vol. 2016, 2016.
• H. Zhang, A. Zhou, S. Song, Q. Zhang, X. Z. Gao, and J. Zhang, "A self-organizing multiobjective evolutionary algorithm," IEEE Transactions on Evolutionary Computation, vol. 20, no. 5, 2016.
• N. Velmurugan, S. S. Raja, and X. Z. Gao, "Introduction to the special section on recent progress in signal processing and communication," Computers & Electrical Engineering, vol. 53, 2016.
• K. Cao, X. Z. Gao, H. K. Lam, and A. V. Vasilakos, "H∞ fuzzy PID control synthesis for Takagi-Sugeno fuzzy systems," IET Control Theory and Applications, vol. 10, no. 6, 2016.
• Y. Feng, G-G. Wang, and X. Z. Gao, "A novel hybrid cuckoo search algorithm with global harmony search for 0-1 knapsack problems," International Journal of Computational Intelligence Systems, vol. 9, no. 6, 2016.
• X. Meng, X. Z. Gao, L. Lu, Y. Liu, and H. Zhang, "A new bio-inspired optimization algorithm: Bird swarms algorithm," Journal of Experimental & Theoretical Artificial Intelligence, vol. 28, no. 4, 2016.
• X. J. Cai, X. Z. Gao, and Y. Xue, "Improved bat algorithm with optimal forage strategy and random disturbance strategy," International Journal of Bio-inspired Computation, vol. 8, no. 4, 2016.
• P. Boobalan, D. Lopez, and X. Z. Gao, "Graph clustering using k-neighbourhood attribute structural similarity," Applied Soft Computing, vol. 47, 2016.
• G-G. Wang, S. Deb, X. Z. Gao, and L. S. Coelho, "A new metaheuristic optimization algorithm motivated by elephant herding behavior," International Journal of Bio-inspired Computation, vol. 8, no. 6, 2016.
• H. Zhang, X. Zhang, X. Z. Gao, and S. Song, "Self-organizing multiobjective optimization based on decomposition with neighborhood ensemble," Neurocomputing, vol. 173, 2016.
• A. K. Sangaiah, X. Z. Gao, and A. Abraham, "Exploring the antecedents of social network usage on academic performance – A combined TOPSIS-GP approach," Jurnal Teknologi (Sciences and Engineering), vol. 78, no. 1, 2016.
• A. Fouad, D. Boukhetela, F. Boudjema, K. Zenger, and X. Z. Gao, "A novel global harmony search method based on ant colony optimisation algorithm," Journal of Experimental & Theoretical Artificial Intelligence, vol. 28, no. 1-2, 2016.
• K. Nagappan, E. Palani, and X. Z. Gao, "Hybrid soft computing approach for prediction of cancer in colon using microarray gene data," Current Signal Transduction Therapy, vol. 11, no. 2, 2016.
• X. Z. Gao, X. Wang, and K. Zenger, "A memetic-inspired harmony search method in optimal wind generator design," International Journal of Machine Learning and Cybernetics, vol. 6, no. 1, 2015.
• X. Z. Gao, V. Govindasamy, H. Xu, X. Wang, and K. Zenger, "Harmony search method: theory and applications," Computational Intelligence and Neuroscience, vol. 2015, 2015.
• X. Z. Gao and Z. W. Geem, "Editorial: theory and applications of the harmony search method," International Journal of Bio-inspired Computation, vol. 7, no. 5, 2015.
• X. Z. Gao, S. Gurumurthy, and S. Venkatesan, "Improved CPU utilization using advanced fuzzy based CPU scheduling algorithm (AFCS)," International Journal of Electrical Sciences and Engineering, vol. 1, no. 1, 2015.
• M. C. Jobin Christ, X. Z. Gao, and K. Zenger, "A novel algorithm for detection and classification of brain tumors," International Journal of Computational Intelligence and Applications, vol. 14, no. 1, 2015.
• X. Meng, X. Z. Gao, Y. Liu, and H. Zhang, "A novel bat algorithm with habitat selection and Doppler effect in echoes for optimization," Expert Systems with Applications, vol. 42, no. 17, 2015.
• X. Meng, X. Z. Gao, and Y. Liu, "A novel hybrid bat algorithm with differential evolution strategy for constrained optimization," International Journal of Hybrid Information Technology, vol. 8, no. 1, 2015.
• A. K. Sangaiah, X. Z. Gao, M. Ramachandran, and X. Zheng, "A fuzzy DEMATEL approach based on intuitionistic fuzzy information for evaluating knowledge transfer effectiveness in GSD projects," International Journal of Innovative Computing and Applications, vol. 6, no. 3-4, 2015.
• Z. Cui, X. Z. Gao, and B. K. Panigrahi, "Nature-inspired algorithms: theory and applications," International Journal of Innovative Computing and Applications, vol. 6, no. 3-4, 2015.
• A. K. Sangaiah, A. K. Thangavelu, X. Z. Gao, A. Anbazhagan, and S. Durai, "An ANFIS approach for evaluation of team-level service climate in GSD projects using Taguchi-genetic learning algorithm," Applied Soft Computing, vol. 30, 2015.
• L. Lu, H. Zhang, and X. Z. Gao, "Inconsistent and heterogeneous data integration based on users’ feedbacks," International Journal of Intelligent Computing and Cybernetics, vol. 8, no. 2, 2015.
• H. Zhang, S. Song, A. Zhou, and X. Z. Gao, "A multiobjective cellular genetic algorithm based on 3D structure and cosine crowding measurement," International Journal of Machine Learning and Cybernetics, vol. 6, no. 3, 2015.
• A. Fouad, D. Boukhetela, F. Boudjema, and X. Z. Gao, "A novel global harmony search method based off-line tuning of RFNN for adaptive control of uncertain nonlinear systems," International Journal of Intelligent Computing and Cybernetics, vol. 8, no. 1, 2015.
• F. Li, Y. Liang, X. Z. Gao, and K. Zenger, "Research on text categorization based on LDA-wSVM model," Application Research of Computers, vol. 32, no. 1, 2015.
• W. Zhang, X. Huang, X. Z. Gao, and H. Yin, "A constrained multi-objective particle swarm optimization algorithm based on adaptive penalty and normalized non-dominated sorting," International Journal of Innovative Computing, Information and Control, vol. 11, no. 6, 2015.
• Y. Wang, Y. Cheung, X. Z. Gao, P. Wang, and H. Liu, "Nature-inspired algorithms and applications," Mathematical Problems in Engineering, vol. 2015, 2015.
• J. Liu, Y. Liang, H. Yin, X. Z. Gao, and X. Li, "On design of attitude controller for rotor aircraft with fuel sloshing disturbance," Electric Machines and Control, vol. 19, no. 8, 2015.
• L. Lu, H. Zhang, and X. Z. Gao, "Minimum-cost maximum-satisfaction bi-objective integer programming optimization for empty containers allocations," ICIC Express Letters, vol. 6, no. 6, 2015.
• X. Z. Gao, X. Wang, and K. Zenger, "Motor fault diagnosis using negative selection algorithm," Neural Computing and Applications, vol. 25, no. 1, 2014.
• X. Z. Gao, "Hybrid Nature-Inspired Computing (NIC) methods: Motivation and prospection," International Journal of Swarm Intelligence and Evolutionary Computation, vol. 3, no. 1, 2014.
• X. Z. Gao, X. Wang, S. J. Ovaska, and K. Zenger, "A hybrid optimization method based on differential evolution and harmony search," International Journal of Computational Intelligence and Applications, vol. 13, no. 1, 2014.
• X. Z. Gao, J. Wang, J. M. A. Tanskanen, R. Bie, X. Wang, P. Guo, and K. Zenger, "Optimal classification of epileptic EEG signals using neural networks and harmony search methods," Journal of Software, vol. 9, no. 1, 2014.
• K. Cao, X. Z. Gao, A. V. Vasilakos, and W. Pedrycz, "Analysis of stability and robust stability of polynomial fuzzy model-based control systems using a sum-of-squares approach," Soft Computing, vol. 18, no. 3, 2014.
• K. Cao, X. Z. Gao, H. K. Lam, A. V. Vasilakos, and W. Pedrycz, "A new relaxed stability condition for Takagi-Sugeno fuzzy control systems using quadratic fuzzy Lyapunov functions and staircase membership functions," International Journal of Fuzzy Systems, vol. 16, no. 3, 2014.
• Y. Zhou, Y. Liu, X. Z. Gao, and G. Qiu, "A label ranking method based on Gaussian mixture model," Knowledge-based Systems, vol. 72, 2014.
• P. Shan, X. Z. Gao, and X. Meng, "A modified multi-swarm cooperative particle swarm optimizer," Microcomputer and Its Applications, vol. 15, 2014.
• H. Xu, Y. Xu, H. Fu, X. Z. Gao, and K. Alipour, "Coordinated movement of biomimetic dual PTZ vision system and wheeled mobile robot," Industrial Robot, vol. 41, no. 6, 2014.
• Y. Xu, H. Xu, Y. Wang, X. Z. Gao, and K. Xue, "A novel automatic extraction approach of pollutants for mobile camera," Applied Mechanics and Materials, vol. 494-495, 2014.
• Y. Xu, H. Xu, Y. Luan, X. Z. Gao, and K. Xue, "Radiation characteristics of heat sink in propulsive wheel of mobile robots," Applied Mechanics and Materials, vol. 494-495, 2014.
• L. Lu, H. Zhang, and X. Z. Gao, "Entity-oriented semantic search in dataspace," ICIC Express Letter, Part B: Applications, vol. 5, no. 4, 2014.
• K. Zhang and X. Z. Gao, "Realization of parallel particle swarm optimization algorithm based on different neighborhood topologies," Microcomputer and Its Applications, vol. 11, 2014.
• T. Zhang, X. Z. Gao, X. Meng, P. Shan, and K. Zhang, "Hybridizing particle swarm optimization with differential evolution for constrained optimization problems," Microcomputer and Its Applications, vol. 17, 2014.
• F. Li, Y. Li, X. Z. Gao, and K. Zenger, "Mining the medication rule of rheumatism using formal concept analysis," Value Engineering, vol. 11, 2014.
• X. Z. Gao, X. Wang, and K. Zenger, "A modified harmony search method for wind generator design," International Journal of Bio-inspired Computation, vol. 5, no. 6, 2013.
• X. Z. Gao, X. Wang, H. Xu, K. Zenger, and Xiaofeng Wang, "Multi-modal optimization using a modified harmony search method," Journal of Information and Computational Sciences, vol. 10, no. 6, 2013.
• X. Z. Gao, Y. Wu, X. Wang, K. Zenger, and X. L. Huang, "A cultural artificial fish-swarm algorithm for optimization," ICIC Express Letters, Part B: Applications, vol. 4, no. 1, 2013.
• X. Z. Gao, H. Xu, X. Wang, and K. Zenger, "A study of negative selection algorithm-based motor fault detection and diagnosis," International Journal of Innovative Computing, Information and Control, vol. 9, no. 2, 2013.
• X. Z. Gao, H. Xu, X. Wang, K. Zenger, and Xiaofeng Wang, "Negative selection algorithm-based mobile robot fault detection," ICIC Express Letters, vol. 7, no. 4, 2013.
• J. Wang, X. Z. Gao, and P. Guo, "Feature extraction based on sparse representation with application to epileptic EEG classification," International Journal of Imaging Systems and Technology, vol. 23, no. 2, 2013.
• Z. J. Zhang, X. Z. Gao, K. Zenger, and X. L. Huang, "Delay-dependent stability analysis of uncertain fuzzy systems with state and input delays under imperfect premise matching," Mathematical Problems in Engineering, vol. 2013, 2013.
• X. He, Y. Liu, X. Z. Gao, and B. Xu, "Hybrid multi-topological analysis matrices-based active learning," International Journal of Advancements in Computing Technology, vol. 5, no. 2, 2013.
• Z. J. Zhang, X. L. Huang, X. J. Ban, X. Z. Gao, and K. Zenger, "Improved robust stability analysis for T-S fuzzy system with time-delay," Journal of Heilongjiang University, vol. 30, no. 1, 2013.
• Z. J. Zhang, X. L. Huang, X. J. Ban, X. Z. Gao, and K. Zenger, "Delay-dependent stabilization of T-S fuzzy systems with time-delay under imperfect premise matching," Journal of Harbin Institute of Technology, vol. 45, no. 11, 2013.
• Y. Liu, Y. Yu, X. He, and X. Z. Gao, "A relative position view-based instances set reduction algorithm," Journal of Computational Information Systems, vol. 9, no. 20, 2013.
• X. Z. Gao, X. Wang, T. Jokinen, S. J. Ovaska, A. Arkkio, and K. Zenger, "A hybrid PBIL-based harmony search method," Neural Computing and Applications, vol. 21, no. 5, 2012.
• X. Z. Gao, X. Wang, S. J. Ovaska, and K. Zenger, "A hybrid optimization method of harmony search and opposition-based learning," Engineering Optimization, vol. 44, no. 8, 2012.
• X. Z. Gao, X. Wang, T. Jokinen, S. J. Ovaska, A. Arkkio, and K. Zenger, "A hybrid optimization method for wind generator design," International Journal of Innovative Computing, Information and Control, vol. 8, no. 6, 2012.
• X. Z. Gao, Y. Wu, X. L. Huang, and K. Zenger, "A novel cultural quantum-behaved particle swarm optimization algorithm," International Journal of Hybrid Information Technology, vol. 5, no. 2, 2012.
• Y. Wu, X. L. Huang, X. Z. Gao, and K. Zenger, "A novel cultural artificial fish-swarm optimization algorithm and application in the parameters identification of rotor system," Electric Machines and Control, vol. 16, no. 5, 2012.
• Z. Cui and X. Z. Gao, "Theory and applications of swarm intelligence," Neural Computing and Applications, vol. 21, no. 2, 2012.
• K. R. Cao, X. Z. Gao, X. J. Ban, and X. L. Huang, "Stability analysis of a type of T-S fuzzy control systems using off-axis circle criterion," International Journal of Computational Intelligence Systems, vol. 5, no. 4, 2012.
• Z. J. Zhang, X. L. Huang, X. J. Ban, and X. Z. Gao, "Stability analysis and design for T-S fuzzy systems with time-delay under imperfect premise matching," Journal of Beijing Institute of Technology, vol. 21, no. 3, 2012.
• H. Xu, X. Z. Gao, G. Peng, K. Xue, and Y. Ma, "Prototype optimization of reconfigurable mobile robots based on modified harmony search method," Transactions of the Institute of Measurement and Control, vol. 34, no. 2-3, 2012.
• K. R. Cao, J. Liu, X. L. Huang, X. Z. Gao, and X. J. Ban, "Stability analysis of T-S fuzzy control systems with interval plants," Journal of Harbin Institute of Technology (New Series), vol. 10, no. 1, 2012.
• Z. J. Zhang, X. L. Huang, X. J. Ban, and X. Z. Gao, "New delay-dependent robust stability and stabilization for uncertain T-S fuzzy time-delay systems under imperfect premise matching," Journal of Central South University, vol. 19, no. 12, 2012.
• Z. J. Zhang, X. L. Huang, X. J. Ban, and X. Z. Gao, "Stability analysis and design for discrete fuzzy systems with time-delay under imperfect premise matching," Journal of Information and Computational Science, vol. 8, no. 13, 2011.
• H. Xu, Z. Zhang, K. Alipour, K. Xue, and X. Z. Gao, "Prototypes selection by multi-objective optimal design: application to a reconfigurable robot in sandy terrain," Industrial Robot, vol. 38, no. 6, 2011.
• H. Q. Lu, Q. N. Song, X. L. Huang, and X. Z. Gao, "A novel hybrid T-S model identification algorithm," Journal of Harbin Institute of Technology, vol. 43, no. 9, 2011.
• Y. Wu, S. Kiviluoto, K. Zenger, X. Z. Gao, and X. L. Huang, "Hybrid swarm algorithms for parameter identification of an actuator model in an electrical machine," Advances in Acoustics and Vibration, vol. 2011, 2011.
• S. Kiviluoto, Y. Wu, K. Zenger, and X. Z. Gao, "Optimal control in reducing rotor vibrations," Journal of System Design and Dynamics, vol. 5, no. 5, 2011.
• K. R. Cao, X. Z. Gao, X. L. Huang, and X. J. Ban, "Stability analysis of a type of Takagi-Sugeno PI fuzzy control systems using circle criterion," International Journal of Computational Intelligence Systems, vol. 4, no. 2, 2011.
• X. J. Ban, X. Z. Gao, and X. L. Huang, "Graphical -stability analysis of Takagi-Sugeno control systems in the frequency domain," Fuzzy Sets and Systems, vol. 171, no. 1, 2011.
• X. Z. Gao, M.-Y. Chow, D. Pelta, and J. Timmis, "Theory and applications of artificial immune systems," Neural Computing and Applications, vol. 19, no. 8, 2010.
• X. Z. Gao, S. J. Ovaska, and X. Wang, "A simplified linguistic information feedback-based dynamical fuzzy system," Neural Computing and Applications, vol. 19, no. 7, 2010.
• X. Z. Gao, X. Wang, S. J. Ovaska, and H. Xu, "A modified harmony search method in constrained optimization," International Journal of Innovative Computing, Information and Control, vol. 6, no. 9, 2010.
• X. Z. Gao, S. J. Ovaska, X. Wang, and M.-Y. Chow, "Multi-level optimization of negative selection algorithm detectors with application in motor fault detection," International Journal of Intelligent Automation and Soft Computing, vol. 15, no. 3, 2010.
• Q. Wang, X. Z. Gao, and C. Wang, "Swarm immune algorithm for PID controller self-turning," System Engineering─Theory & Practice, vol. 30, no. 6, 2010.
• Q. Wang, X. Z. Gao, and C. Wang, "An adaptive bacterial foraging algorithm for constrained optimization," International Journal of Innovative Computing, Information and Control, vol. 6, no. 8, 2010.
• Q. Wang, X. Z. Gao, C. Wang, and F. Liu, "Hybrid anti-prematuration optimization algorithm," Journal of Systems Engineering and Electronics, vol. 21, no. 3, 2010.
• X. J. Ban, X. Z. Gao, and X. L. Huang, " -stability analysis of proportional Takagi-Sugeno fuzzy controller based control systems," International Journal of Intelligent Automation and Soft Computing, vol. 16, no. 1, 2010.
• X. L. Huang, K. R. Cao, X. J. Ban, and X. Z. Gao, "Some further results on the stability analysis of a type of T-S fuzzy control systems in the frequency domain," Innovative Computing, Information and Control Express Letters, vol. 4, no. 3 (A), 2010.
• F. Liu, C. Wang, and X. Z. Gao, "Turbine fault diagnosis based on particle swarm optimization and clustering methods," Journal of Vibration and Shock, vol. 29, no. 8, 2010.
• X. Z. Gao, S. J. Ovaska, X. Wang, and M.-Y. Chow, "Clonal optimization-based negative selection algorithm with applications in motor fault detection," Neural Computing and Applications, vol. 18, no. 7, 2009.
• X. Z. Gao, X. Wang, and S. J. Ovaska, "Uni-modal and multi-modal optimization using modified harmony search methods," International Journal of Innovative Computing, Information and Control, vol. 5, no. 10 (A), 2009.
• X. Z. Gao, S. J. Ovaska, and X. Wang, "Particle swarm optimization-based detectors in negative selection algorithm," Journal of Hybrid Computing Research, vol. 2, no. 2, 2009.
• X. Z. Gao, X. Wang, and S. J. Ovaska, "Fusion of clonal selection algorithm and differential evolution method in training cascade-correlation neural network," Neurocomputing, vol. 72, no. 10-12, 2009.
• X. Z. Gao, S. J. Ovaska, and X. Wang, "A Linguistic Information Feed-Back-based Dynamical Fuzzy System (LIFBDFS) with learning algorithm," Neural Computing and Applications, vol. 18, no. 4, 2009.
• X. Z. Gao, S. J. Ovaska, and X. Wang, "Re-editing and censoring of detectors in negative selection algorithm," International Journal of Computational Intelligence Systems, vol. 2, no. 3, 2009.
• X. Wang, X. Z. Gao, and S. J. Ovaska, "A hybrid artificial immune optimization method," International Journal of Computational Intelligence Systems, vol. 2, no. 3, 2009.
• X. J. Ban, X. Z. Gao, and X. L. Huang, "Comments on ‘Stability analysis for a class of Takagi-Sugeno fuzzy control systems with PID controllers’," International Journal of Approximate Reasoning, vol. 50, no. 3, 2009.
• Q. Hu, X. Z. Gao, and G. Ma, "Reference model variable structure output feedback for attitude maneuvers control of flexible spacecrafts," International Journal of Intelligent Automation and Soft Computing, vol. 15, no. 1, 2009.
• X. Wang, X. Z. Gao, and S. J. Ovaska, "Fusion of clonal selection algorithm and harmony search method in optimization of fuzzy classification systems," International Journal of Bio-Inspired Computation, vol. 1, no. 1-2, 2009.
• F. Liu, X. Z. Gao, and C. Wang, "A fuzzy c-means method based on particle swarm and clonal selection algorithms," Journal of Shenyang Jianzhu University (Natural Science), vol. 25, no. 3, 2009.
• H. Xu, H. Feng, Y. Luan, G. Peng, X. Z. Gao, and Y. Wu, "Optimizing a prototype of a reconfigurable mobile robot using analytical geometry projections and particle swarm optimization," Journal of Harbin Engineering University, vol. 30, no. 8, 2009.
• X. Wang, X. Z. Gao, and S. J. Ovaska, "Hybrid nature-inspired computation methods for optimization," IEEE Systems, Man, and Cybernetics Society e-Newsletter, vol. 29, December 2009.
• R. Mao, D. Wu, R. Bie, and X. Z. Gao, "Research of double-tiers spam filtering method based on AIS," Computer Engineering and Design, vol. 30, no. 24, 2009.
• Q. Wang, X. Z. Gao, C. Wang, and F. Liu, "Dynamic multi-swarm optimization based on clonal selection and particle swarm," Control and Decision, vol. 23, no. 9, 2008.
• X. Z. Gao, S. J. Ovaska, and X. Wang, "A GA-based negative selection algorithm," International Journal of Innovative Computing, Information and Control, vol. 4, no. 4, 2008.
• X. Z. Gao, S. J. Ovaska, X. Wang, and M.-Y. Chow, "A neural networks-based negative selection algorithm in fault diagnosis," Neural Computing and Applications, vol. 17, no. 1, 2008.
• X. Wang, X. Z. Gao, and S. J. Ovaska, "A novel particle swarm-based method for nonlinear function optimization," International Journal of Computational Intelligence Research, vol. 4, no. 3, 2008.
• X. Shen, X. Z. Gao, and R. Bie, "Artificial immune networks: Models and applications," International Journal of Computational Intelligence Systems, vol. 1, no. 2, 2008.
• H. Wang, X. Z. Gao, X. Huang, and Z. Song, "Anomaly detection using a modified negative selection algorithm," Computer Simulation, vol. 25, no. 5, 2008.
• W. Wang, X. Z. Gao, C-H. Wang, and C. Wang, "A new single neuron PID controller based on immune tuning," Electric Machines and Control, vol. 12, no. 1, 2008.
• F. Liu, X. Z. Gao, Q. Wang, and C. Wang, "A fuzzy immune clustering method in data analysis," Transducer and Microsystem Technologies, vol. 27, no. 3, 2008.
• X. J. Ban, X. Z. Gao, X. L. Huang, and A. V. Vasilakos, "Stability analysis of the simplest Takagi-Sugeno fuzzy control system using circle criterion," Information Sciences, vol. 177, no. 20, 2007.
• X. Wang, X. Z. Gao, and S. J. Ovaska, "A hybrid optimization algorithm based on ant colony and immune principles," International Journal of Computer Science and Applications, vol. 4, no. 3, 2007.
• X. J. Ban, X. Z. Gao, X. L. Huang, and H. Yin, "Stability analysis of the simplest Takagi-Sugeno fuzzy control system using Popov criterion," International Journal of Innovative Computing, Information and Control, vol. 3, no. 5, 2007.
• Y. Ding, X. Z. Gao, X. Huang, and H. Yin, "PSO-based optimization of T-S fuzzy models," Journal of Harbin Institute of Technology, vol. 39, no. 5, 2007.
• H. Q. Lu, X. L. Huang, X. Z. Gao, X. J. Ban, and H. Yin, "Stability analysis of the simplest T-S fuzzy control system using circle criterion," Journal of Systems Engineering and Electronics, vol. 18, no. 2, 2007.
• X. J. Ban, X. L. Huang, X. Z. Gao, and H. Yin, "Comparison between a sufficient condition in the frequency domain and another one in the time domain for the stability of a certain T-S fuzzy control system," Complexity and Intelligence, vol. 2, 2006.
• X. Z. Gao and S. J. Ovaska, "Linguistic information feedforward-based dynamical fuzzy systems," IEEE Transactions on Systems, Man, and Cybernetics, Part C, vol. 36, no. 4, 2006.
• X. J. Ban, X. Z. Gao, X. L. Huang, and T. B. Wu, "Analysis of one and two dimensional fuzzy controllers," Journal of Systems Engineering and Electronics, vol. 17, no. 2, 2006.
• H. Gao, C. Wang, and X. Z. Gao, "Robust energy-to-peak filtering for uncertain discrete-time state-delayed systems: delay independent and dependent approaches," International Journal of Intelligent Automation and Soft Computing, vol. 11, no. 4, 2005.
• F. Hoffmann, X. Z. Gao, M. Olhofer, and A. Satyadas, "Editorial: Application reviews," Applied Soft Computing, vol. 5, no. 3, 2005.
• X. Z. Gao, S. J. Ovaska, and A. Vasilakos, "A modified Elman neural network-based power controller in mobile communications systems," Soft Computing, vol. 9, no. 2, 2005.
• X. Z. Gao, S. J. Ovaska, and X. Wang, "A fuzzy predictive filter for sinusoidal signals with time-varying frequencies," International Journal of Signal Processing, vol. 1, no. 1, 2004.
• X. Z. Gao, S. J. Ovaska, and X. Wang, "Neural networks-based fault detection with application in ink jet printers," International Journal on Automatic Control and System Engineering, vol. 1, no. 1, 2004.
• X. Z. Gao and S. J. Ovaska, "Neural networks-based approximation of fuzzy systems," Journal of Integrated Computer-Aided Engineering, vol. 10, no. 4, 2003.
• X. Z. Gao, S. J. Ovaska, and A. Vasilakos, "Reinforcement learning-based power control in mobile communications systems," International Journal of Intelligent Automation and Soft Computing, vol. 8, no. 4, 2002.
• X. Z. Gao and S. J. Ovaska, "Genetic algorithm training of Elman neural network in motor fault detection," Neural Computing and Applications, vol. 11, no. 1, 2002.
• X. Z. Gao, S. J. Ovaska, and A. Vasilakos, "Temporal difference method-based multi-step ahead prediction of long term deep fading in mobile networks," Computer Communications Journal, vol. 25, no. 16, 2002.
• A. Vasilakos, C. Ricudis, K. Anagnostakis, W. Pedrycz, A. Pitsillides, and X. Z. Gao, "Evolutionary-fuzzy prediction for strategic ID-QoS: Routing in broadband networks," International Journal of Parallel and Distributed Systems and Networks, vol. 4, no. 4, 2001.
• X. Z. Gao and S. J. Ovaska, "Acceleration signal estimation using neural networks," Journal of Measurement Science and Technology, vol. 12, no. 10, October 2001.
• X. Z. Gao and S. J. Ovaska, "Comparison of conventional and soft computing-based power control methods in mobile communications systems," Soft Computing, vol. 5, no. 4, August 2001.
• X. Z. Gao and S. J. Ovaska, "Fuzzy power command enhancement in mobile communications systems," International Journal of Computational Intelligence and Applications, vol. 1, no. 2, June 2001.
• X. Z. Gao and S. J. Ovaska, "Soft computing methods in motor fault diagnosis," Applied Soft Computing, vol. 1, no. 1, June 2001.
• X. Z. Gao and S. J. Ovaska, "Intelligent motor fault diagnosis using a modified ANFIS," International Journal of Computers and Their Applications, vol. 8, no. 1, March 2001.
• Y. Dote, S. J. Ovaska, and X. Z. Gao, "Fault detection of automobile transmission gears using general parameter methods," Journal of Robotics and Mechtronics, vol. 12, no. 6, December 2000.
• C. Wang, X. Z. Gao, L. Xu, T. Jing, X. Zhuang, and H. Ning, "Research on modeling water processing systems by neural networks," Journal of Decision and Control, vol. 15, no. 3, March 2000.
• X. M. Gao, X. Z. Gao, J. M. A. Tanskanen, and S. J. Ovaska, "Power prediction in mobile communication systems using an optimal neural network structure," IEEE Transactions on Neural Networks, vol. 8, no. 6, November 1997.
• C. Wang, X. Z. Gao, L. Xu, and X. Zhuang, "A new combined neural network model," Journal of Systems Simulation, vol. 15, no. 3, 1997.
• C. Wang, X. Z. Gao, L. Xu, X. Zhuang, and X. M. Gao, "A modified Elman neural network," Journal of Electronics, vol. 19, no. 6, 1997.
• C. Wang, L. Xu, X. Z. Gao, and X. Zhuang, "Study on adaptive control in servo systems using recurrent neural networks," Journal of Systems Simulation, vol. 15, no. 4, 1997.
• C. Wang, L. Xu, X. Zhuang, and X. Z. Gao, "A locally recurrent neural network model and its application for identification of dynamical systems," Journal of Harbin Institute of Technology, vol. 7, no. 1, 1997.
• X. Z. Gao, C. Wang, L. Xu, and X. Zhuang, "An adaptive algorithm for improving resolution in CMAC," Journal of Harbin Institute of Technology, vol. 6, no. 3, 1996.
• L. Xu, C. Wang, X. Z. Gao, and X. Zhuang, "Training recurrent neural networks with stochastic learning algorithms," Journal of Harbin Institute of Technology, vol. 6, no. 3, 1996.
• X. Z. Gao, C. Wang, L. Xu, and X. Zhuang, "A genetic algorithms-based solution to the inverted pendulum control," Journal of Control Theory and Technology, vol. 12, no. 4, 1995.
• P. K. Mandal, S. Garg, and X. Z. Gao, "Modeling mean-semi variance portfolio selection problems using coherent trapezoidal fuzzy numbers," 2024 IEEE World Congress on Computational Intelligence, Yokohama, Japan, June-July 2024.
• X. Lu, Y. Tang, Y. Liu, and X. Z. Gao, "A new formulation and solution for allocating emergency supplies to balance the demands in public safety events," 2023 18th International Conference on Intelligent Systems and Knowledge Engineering, Fuzhou, China, November 2023.
• Z. Wang, Q. Li, D. Yu, X. Han, X. Z. Gao, and S. Shen, "Heterogeneous graph contrastive multi-view learning," 2023 SIAM International Conference on Data Mining, Minneapolis, MN, April 2023.
• J. Raphael, M. R. Nalluri, A. Bindu, and X. Z. Gao, "Clustering-based factorization machines for advertisement click prediction," 2022 4th International Conference on Innovative Data Communication Technologies and Application, Coimbatore, India, November 2022.
• Z. Tan, Q. Khadim, A. Mikkola, and X. Z. Gao, "Parameters optimization in hydraulically driven machines using swarm intelligence," 2022 International Conference on Intelligent Systems Design and Applications, on-line, December 2022.
• O. S. Balogun, S. A. Olaleye, M. Moshin, K. Haataja, X. Z. Gao, and P. Toivanen, "Investigating drug peddling in Nigeria using a machine learning approach," 2021 21th International Conference on Intelligent Systems Design and Applications, December 2021.
• O. S. Balogun, S. A. Olaleye, X. Z. Gao, and P. Toivanen, "Concomitant with Nigerian road traffic accidents: An application of a generalized linear model," 2021 37th Conference of International Business Information Management Association, Cordoba, Spain, April 2021.
• O. S. Balogun, S. A. Olaleye, X. Z. Gao, and P. Toivanen, "A novel generalized form of cure rate model for an infectious disease with co-infection," 2020 20th International Conference on Intelligent Systems Design and Applications, December 2020.
• Z. Zhang, D. Wang, and X. Z. Gao, "Stability analysis for interval Type-2 fuzzy systems based on network environments under imperfect premise matching," 2020 39th Chinese Control Conference, Shenyang, China, July 2020.
• J. Liu, F. Cao, X. Z. Gao, L. Yu, and J. Liang, "A cluster-weighted kernel K-means method for multi-view clustering," 2020 39th AAAI Conference on Artificial Intelligence, New York, NY, February 2020.
• Z. Tan and X. Z. Gao, "A review of state-of-the-art control and optimization methods in permanent magnet synchronous machine drives," 2019 IEEE International Conference on Industrial Informatics, Helsinki-Espoo, Finland, July 2019.
• Z. Zhang, P. Li, D. Wang, and X. Z. Gao, "Unmatching observer-based controller design for TS time-delay systems," 2019 IEEE 10th International Conference on Software Engineering and Service Science, Beijing, China, October 2019.
• G. Kanimozhi, O. V. G. Swathika, and X. Z. Gao, "Differential flatness controller for BLIL PFC boost rectifier," 2019 International Conference on Sustainable Computing in Science, Technology & Management, Jaipur, India, February 2019.
• A. K. Luhach, Isha, Neha, and X. Z. Gao, "Analysis of enhanced hybrid approach using greedy perimeter stateless routing in VANET," 2018 International Conference on Futuristic Trends in Network and Communication Technologies, Solan, India, February 2018.
• Y. Meng, Z. Lu, and X. Z. Gao, "An incremental updating method for online monitoring state-of-health of VRLA batteries," 2017 12th International Conference on Intelligent Systems and Knowledge Engineering, Nanjing, China, November 2017.
• S. Deb, K. Kalita, X. Z. Gao, K. Tammi, and P. Mahanta, "Optimal placement of charging stations using CSO-TLBO algorithm," 2017 IEEE International Conference on Research in Computational Intelligence and Communication Networks, Kolkata, India, November 2017.
• X. Z. Gao, A. Kaarna, L. Lensu, and S. Honkapuro, "A hybrid method for short-term electricity consumption prediction," 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October-November 2017.
• H. Liu, Y. Wang, L. Liu, X. Z. Gao, and Y. Cheung, "A new grouping strategy-based hybrid algorithm for large scale global optimization problems," 2017 Genetic and Evolutionary Computation Conference, Berlin, Germany, July 2017.
• J. Liu, S. Li, N. Lyu, and X. Z. Gao, "Parametric data-driven control method of hybrid system via virtual reference feedback tuning," 36th Chinese Control Conference, Dalian, China, July 2017.
• H. Du, Y. Wang, C. Ren, J. Zhong, and X. Z. Gao, "Multi-level clustering algorithm for star/galaxy separation," 2016 International Conference on Computational Intelligence and Security, Wuxi, China, December 2016.
• H. Liu, Y. Wang, L. Liu, X. Li, and X. Z. Gao, "A two phase approach based on dynamic variable grouping and self-adaptive group search for large scale optimization," 2016 International Conference on Computational Intelligence and Security, Wuxi, China, December 2016.
• H. Xuan, Y. Wang, S. Hao, Z. Xu, X. Li, and X. Z. Gao, "Security-aware routing and core allocation in elastic optical network with multi-core," 2016 International Conference on Computational Intelligence and Security, Wuxi, China, December 2016.
• G-G. Wang, X. Z. Gao, K. Zenger, and L. S. Coelho, "A novel metaheuristic algorithm inspired by rhino herd behavior," 9th Eurosim Congress on Modelling and Simulation, Oulu, Finland, September 2016.
• A. Fouad, K. Zenger, and X. Z. Gao, "A novel flower pollination algorithm based on genetic algorithm operators," 9th Eurosim Congress on Modelling and Simulation, Oulu, Finland, September 2016.
• X. Huang, H. Zhang, H. Yin, and X. Z. Gao, "Dynamic study of a counter-terrorism model," 35th Chinese Control Conference, Chengdu, China, July 2016.
• X. Huang, H. Zhang, H. Yin, and X. Z. Gao, "Existence and stability of periodic solutions for parabolic competition systems," 35th Chinese Control Conference, Chengdu, China, July 2016.
• H. Yin, X. Huang, H. Zhang, and X. Z. Gao, "Stabilization of distributed parameter Hopfield neural networks based on operator spectral theory," 35th Chinese Control Conference, Chengdu, China, July 2016.
• L. Gao, F. Li, L. Luo, Z. Wang, and X. Z. Gao, "Research on real-world multidimensional stroke ontology and its reasoning for construction of an evolution model," 2015 Annual Conference of Biomedical Fuzzy Systems Association, Kumamoto, Japan, November 2015.
• Z. Zhang, D. Wang, X. Z. Gao, and K. Cao, "Improved delay-dependent stability analysis for uncertain T-S fuzzy systems with time-varying delay," 12th International Conference on Fuzzy Systems and Knowledge Discovery, Zhangjiajie, China, August 2015.
• K. Cao, X. Z. Gao, X. Wang, H. K. Lam, and J. Ma, "Stability analysis of TS fuzzy PD, PI, and PID control systems," 12th International Conference on Fuzzy Systems and Knowledge Discovery, Zhangjiajie, China, August 2015.
• X. Meng, Y. Liu, X. Z. Gao, and H. Zhang, "A new bio-inspired chicken swarm algorithm," Fifth International Conference on Swarm Intelligence, Hefei, China, October 2014.
• J. Liu, X. Ban, X. L. Huang, X. Z. Gao, and K. Zenger, "An intelligent hybrid BFO-PSO algorithm for multi-loop robust controller design in discrete-time networked control systems," 2014 IEEE International Conference on Mechatronics and Control, Jinzhou, China, July 2014.
• H. Zhang, S. Song, A. Zhou, and X. Z. Gao, "A clustering based multiobjective evolutionary algorithm," 2014 IEEE Congress on Evolutionary Computation, Beijing, China, July 2014.
• Y. Xu, H. Xu, Y. Wang, X. Z. Gao, and K. Xue, "A novel automatic extraction approach of pollutants for mobile camera," 2013 International Symposium on Vehicle, Mechanical, and Electrical Engineering, HsinChu, Taiwan, December 2013.
• Y. Xu, H. Xu, Y. Luan, X. Z. Gao, and K. Xue, "Radiation characteristics of heat sink in propulsive wheel of mobile robots," 2013 International Symposium on Vehicle, Mechanical, and Electrical Engineering, HsinChu, Taiwan, December 2013.
• D. W. Kim, J. I. Park, and X. Z. Gao, "Advanced optimization by progressive mapping search method of PSO and neural network," 2013 Swarm, Evolutionary and Memetic Computing Conference, Chennai, India, December 2013.
• X. Z. Gao, X. Wang, K. Zenger, and X. F. Wang, "Harmony search method-based multi-modal optimal design of wind generator," 39th Annual Conference of the IEEE Industrial Electronics Society, Vienna, Austria November 2013.
• W. Zhang, X. L. Huang, S. Li, and X. Z. Gao, "The variable universe fuzzy controller and its application in missile homing guidance law design," 32nd Chinese Control Conference, Xi’an, China, July 2013.
• J. Liu, X. Z. Gao, and K. Zenger, "Nonsmooth optimization based multiple robust controller design under coupling partitioned uncertainty," 12th European Control Conference, Zurich, Switzerland, July 2013.
• X. Z. Gao, X. Wang, and K. Zenger, "Harmony search method with application in wind generator design," 2013 Finland-Japan Joint Seminar on Soft Computing Methods and Applications, Muroran, Japan, June 2013.
• X. Z. Gao, X. Wang, and K. Zenger, "Hybrid nature-inspired computing methods for optimal electrical machine design," 20th Automaatio Seminar, Helsinki, Finland, May 2013.
• X. Z. Gao, H. Xu, X. Wang, K. Zenger, and X. F. Wang, "Negative selection algorithm-based mobile robot fault detection," 2012 International Conference on Innovative Computing Information and Control, Shanghai, China, November 2012.
• X. Z. Gao, J. Wang, J. Tanskanen, R. Bie, and P. Guo, "BP neural networks with harmony search method-based training for epileptic EEG signal classification," 2012 International Conference on Computational Intelligence and Security, Guangzhou, China, November 2012.
• X. Z. Gao, X. Wang, K. Zenger, and X. F. Wang, "A niching harmony search method for multi-modal optimization," 2012 International Conference on Computational Intelligence and Security, Guangzhou, China, November 2012.
• X. Z. Gao, Y. Wu, X. Wang, X. L. Huang, K. Zenger, and X. F. Wang, "A modified PSO method based on cultural algorithm and quantum computing," 2012 International Conference on Computational Intelligence and Security, Guangzhou, China, November 2012.
• J. Wang, X. Z. Gao, J. Tanskanen, and P. Guo, "Epileptic EEG signal classification with ANFIS based on harmony search method," 2012 International Conference on Computational Intelligence and Security, Guangzhou, China, November 2012.
• J. Tanskanen, X. Z. Gao, J. Wang, J. Hyttinen, P. Guo, and V. Dimitrov, "Experimental comparison of geometric, arithmetic and harmonic means for EEG event related potential detection," 2012 International Conference on Computational Intelligence and Security, Guangzhou, China, November 2012.
• X. Z. Gao, X. Wang, K. Zenger, and X. F. Wang, "A bee foraging-based memetic harmony search method," IEEE International Conference on Systems, Man, and Cybernetics, Seoul, Korea, October 2012.
• X. Z. Gao, X. Wang, K. Zenger, and X. F. Wang, "A novel harmony search method with dual memory," IEEE International Conference on Systems, Man, and Cybernetics, Seoul, Korea, October 2012.
• J. Liu, X. Z. Gao, X. Wang, and K. Zenger, "A multiple local search strategy in memetic evolutionary computation for multi-objective robust control design," IEEE International Conference on Systems, Man, and Cybernetics, Seoul, Korea, October 2012.
• P. Guo, J. Wang, X. Z. Gao, and J. Tanskanen, "Marching pursuit based on harmony search method: An application to epileptic EEG signal classification," IEEE International Conference on Systems, Man, and Cybernetics, Seoul, Korea, October 2012.
• W. Ait-Cheik-Bihi, M. Bakhouya, J. Gaber, R. Outbib, E. Coatanea, X. Z. Gao, and K. Zenger, "Towards an integrated service-oriented energy management platform for plug-in hybrid electric vehicles," The 2nd IFAC Workshop on Multivehicle Systems, Espoo, Finland, October 2012.
• Z. J. Zhang, X. J. Ban, X. L. Huang, and X. Z. Gao, "New delay-dependent robust stability for T-S fuzzy systems with interval time varying delay," The 3rd International Workshop on Spatial Computational Sciences and Applications, Harbin, China, June 2012.
• X. Z. Gao, Y. Wu, X. Wang, K. Zenger, and X. L. Huang, "Trajectory optimization in reentry phase for hypersonic gliding vehicles using swarm intelligence algorithms," 2011 International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China, December 2011 (Best Paper Award).
• X. Z. Gao, X. Wang, K. Zenger, and X. F. Wang, "Negative selection algorithm-based motor fault diagnosis," 2011 International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China, December 2011.
• X. Z. Gao, H. Xu, X. Wang, K. Zenger, and X. F. Wang, "Negative selection algorithm for fault detection in mobile robots," 2011 International Conference on Computer Science and Engineering, Shanghai, China, October 2011.
• Y. Wu, X. Z. Gao, and K. Zenger, "Knowledge-based artificial fish-swarm algorithm," 18th IFAC World Congress, Milano, Italy, August-September 2011.
• X. Z. Gao, X. Wang, S. J. Ovaska, A. Arkkio, K. Zenger, and X. F. Wang, "A negative selection algorithm-based motor fault detection scheme," 2011 International Conference on Natural Computing, Shanghai, China, July 2011.
• S. Kiviluoto, Y. Wu, K. Zenger, and X. Z. Gao, "Identification of actuator model in an electrical machine by prediction error method and cultural particle swarm optimization," 2011 IEEE Control and System Graduate Research Colloquium, Shah Alam, Malaysia, June 2011.
• X. L. Huang, Z. J. Zhang, X. J. Ban, and X. Z. Gao, "New delay-dependent stability and stabilization for T-S fuzzy time-delay systems under imperfect premise matching," 2nd International Conference on Intelligent Control and Information Processing, Harbin, China, July 2011.
• X. J. Ban, Z. J. Zhang, X. L. Huang, and X. Z. Gao, "LMI based stability conditions for nonlinear systems constructed by fuzzy input-output models," 2nd International Conference on Intelligent Control and Information Processing, Harbin, China, July 2011.
• Z. J. Zhang, X. L. Huang, X. J. Ban, and X. Z. Gao, "New LMIs-based stability conditions for fuzzy time-delay control system," 4th International Conference on Computational Sciences and Optimization, Kunming and Lijiang, China, April 2011.
• X. Z. Gao, X. Wang, and S. J. Ovaska, "A harmony search-based differential evolution method," 13th IEEE International Conference on Computational Science and Engineering, Hong Kong, China, December 2010.
• X. Z. Gao, X. Wang, and S. J. Ovaska, "A hybrid harmony search method based on OBL," 13th IEEE International Conference on Computational Science and Engineering, Hong Kong, China, December 2010.
• X. Z. Gao, Y. Wu, K. Zenger, and X. L. Huang, "A knowledge-based artificial fish-swarm algorithm," 13th IEEE International Conference on Computational Science and Engineering, Hong Kong, China, December 2010.
• X. Z. Gao, T. Jokinen, X. Wang, S. J. Ovaska, and A. Arkkio, "A hybrid PBIL-based harmony search method with application in wind generator optimization," 2nd World Congress on Nature and Biologically Inspired Computing, Kitakyushu, Japan, December 2010.
• X. Z. Gao, T. Jokinen, X. Wang, S. J. Ovaska, and A. Arkkio, "A new harmony search method in optimal wind generator design," XIX International Conference on Electrical Machines, Rome, Italy, September 2010.
• W. Wang and X. Z. Gao, "A single neuron PID controller based on immune tuning and its application," 6th International Conference on Natural Computation, Yantai, China, August 2010.
• Y. Wu, X. Z. Gao, X. L. Huang, and K. Zenger, "A cultural particle swarm optimization algorithm," 6th International Conference on Natural Computation, Yantai, China, August 2010.
• Y. Wu, X. Z. Gao, X. L. Huang, and K. Zenger, "A hybrid optimization method of particle swarm optimization and cultural algorithm," 6th International Conference on Natural Computation, Yantai, China, August 2010.
• J. Qing, X. Liang, R. Bie, and X. Z. Gao, "A new clustering algorithm based on artificial immune network and k-means method," 6th International Conference on Natural Computation, Yantai, China, August 2010.
• S. Kiviluoto, Y. Wu, K. Zenger, and X. Z. Gao, "Optimal control in reducing rotor vibrations," 10th International Conference on Motion and Vibration Control, Tokyo, Japan, August 2010.
• K. R. Cao, X. Z. Gao, X. J. Ban, and X. L. Huang, "Stability analysis for a type of proportional T-S fuzzy control systems using the off-axis circle criterion," 2010 IEEE World Congress on Computational Intelligence, Barcelona, Spain, July 2010.
• X. J. Ban, X. Z. Gao, X. L. Huang, and K. R. Cao, "A type of fuzzy input-output model and its property," 2010 IEEE World Congress on Computational Intelligence, Barcelona, Spain, July 2010.
• X. L. Huang, Q. N. Song, X. J. Ban, and X. Z. Gao, "A T-S model identification method based on harmony search algorithm," 29th Chinese Control Conference, Beijing, China, July 2010.
• X. L. Huang, K. R. Cao, X. J. Ban, and X. Z. Gao, "Stability analysis of the simplest T-S fuzzy control system using the off-axis circle criterion," 8th IEEE International Conference on Control & Automation, Xiamen, China, June 2010.
• X. L. Huang, Z. J. Zhang, K. R. Cao, and X. Z. Gao, "A sufficient stability condition for a type of proportional T-S fuzzy control system in the frequency domain," 3rd International Symposium on Systems and Control in Aeronautics and Astronautics, Harbin, China, June 2010.
• W. Wang, X. Z. Gao, and C. Wang, "A new single neuron PID controller based on immune tuning," 14th Online World Conference on Soft Computing in Industrial Applications, November 2009.
• J. Qing, R. Mao, R. Bie, and X. Z. Gao, "An AIS-based e-mail classification method," 2009 International Conference on Intelligent Computing, Ulsan, Korea, September 2009.
• H. Xu, Z. Zhang, D. Tan, X. Z. Gao, G. Peng, and S. Yu, "Optimization of mobile robot based on projection method and harmony search," IEEE International Conference on Robotics and Biomimetics, Bangkok, Thailand, February 2009.
• H. Xu, D. Tan, G. Peng, X. Z. Gao, and S. Yu, "Kinematics of robot with castered-and-cambered wheels with respect to drive configuration topology," 2008 International Conference on Intelligent Robotics and Applications, Wuhan, China, October 2008.
• X. Z. Gao, X. Wang, and S. J. Ovaska, "A novel hybrid optimization method with application in Cascade-Correlation neural network training," 8th International Conference on Hybrid Intelligent Systems, Barcelona, Spain, September 2008.
• X. Z. Gao, X. Wang, and S. J. Ovaska, "Modified harmony search methods for uni-modal and multi-modal optimization," 8th International Conference on Hybrid Intelligent Systems, Barcelona, Spain, September 2008.
• X. Z. Gao, S. J. Ovaska, and X. Wang, "Re-editing and censoring of detectors in negative selection algorithm," International and Interdisciplinary Conference on Adaptive Knowledge Representation and Reasoning, Porvoo, Finland, September 2008.
• X. Wang, X. Z. Gao, and S. J. Ovaska, "A hybrid optimization method for fuzzy classification systems," 8th International Conference on Hybrid Intelligent Systems, Barcelona, Spain, September 2008.
• X. Wang, X. Z. Gao, and S. J. Ovaska, "A simulated annealing-based immune optimization method," International and Interdisciplinary Conference on Adaptive Knowledge Representation and Reasoning, Porvoo, Finland, September 2008.
• C. Chen, Y. Gong, R. Bie, and X. Z. Gao, "Searching for interacting features for spam filtering," 5th International Symposium on Neural Networks, Beijing, China, September 2008.
• C. Chen, C. Xu, R. Bie, and X. Z. Gao, "Artificial immune recognition system for DNA microarray data analysis," 4th International Conference on Natural Computation, Jinan, China, August 2008.
• S. Qiang, Q. Zhou, X. Z. Gao, and S. Yu, "ANFIS controller for double inverted pendulum," IEEE International Conference on Industrial Informatics, Daejeon, Korea, July 2008.
• H. Wang, X. Z. Gao, X. L. Huang, and Z. Song, "Anomaly detection using PSO-optimized negative selection algorithm," 12th Online World Conference on Soft Computing in Industrial Applications, December 2007.
• X. Z. Gao, S. J. Ovaska, and X. Wang, "Linguistic information in dynamical fuzzy systems," 12th Online World Conference on Soft Computing in Industrial Applications, December 2007.
• F. Liu, C. Wang, X. Z. Gao, and Q. Wang, "A fuzzy clustering algorithm based on artificial immune principles," 2007 International Conference on Computational Intelligence and Security, Harbin, China, December 2007.
• M. Pöllä, T. Honkela, and X. Z. Gao, "Biologically inspired clustering: Comparing the neural and immunological paradigms," 2007 International Workshop on Nature Inspired Cooperative Strategies for Optimization, Acireale, Italy, November 2007.
• X. Z. Gao, S. J. Ovaska, and X. Wang, "Particle swarm optimization of detectors in negative selection algorithm," IEEE International Conference on Systems, Man, and Cybernetics, Montreal, Quebec, Canada, October 2007.
• X. Wang, X. Z. Gao, and S. J. Ovaska, "An immune-based ant colony algorithm for static and dynamic optimization," IEEE International Conference on Systems, Man, and Cybernetics, Montreal, Quebec, Canada, October 2007.
• J. Martikainen, S. J. Ovaska, and X. Z. Gao, "Accelerating optimization using probabilistic affinity evaluation and clonal selection principle, IEEE International Conference on Systems, Man, and Cybernetics, Montreal, Quebec, Canada, October 2007.
• X. Z. Gao, S. J. Ovaska, X. Wang, and M.-Y. Chow, "A hierarchical optimization scheme for negative selection algorithm detectors in motor fault detection," IEEE Three-Rivers Workshop on Soft Computing in Industrial Applications, Passau, Germany, August 2007.
• J. Martikainen, X. Z. Gao, and S. J. Ovaska, "Reduced-rank adaptive FIR filter for power systems applications," IEEE Three-Rivers Workshop on Soft Computing in Industrial Applications, Passau, Germany, August 2007.
• H. Xu, W. Huang, F. Peng, K. Xue, S. Yu, X. Z. Gao, Q. Ouyang, Q. Chang, and Z. Lu, "Maneuver control of mobile robot based on equivalent instantaneous center of rotation in rough terrain," IEEE International Conference on Mechatronics and Automation, Harbin, China, August 2007.
• H. Xu, K. Xue, F. Peng, S. Yu, X. Z. Gao, Q. Ouyang, Q. Chang, and Z. Lu, "3-D kinematics modeling for mobile robot with steering castered-and-cambered wheels," IEEE International Conference on Mechatronics and Automation, Harbin, China, August 2007.
• W. Wang, X. Z. Gao, and C. Wang, "A new immune PID controller based on immune tuning," 2007 International Conference on Intelligent Computing, Qingdao, China, August 2007.
• D. Zhao, X. Z. Gao, and R. Bie, "Computing with words in data mining and pattern recognition," 2007 International Conference on Intelligent Computing, Qingdao, China, August 2007.
• W. Wang, X. Z. Gao, and C. Wang, "A new immune PID controller in material-level control," 3rd International Conference on Natural Computation, Haikou, China, August 2007.
• Z. Liu, X. Jin, R. Bie, and X. Z. Gao, "FAISC: A Fuzzy Artificial Immune System Clustering Algorithm," 3rd International Conference on Natural Computation, Haikou, China, August 2007.
• Y. Ding, X. Z. Gao, X. Huang, and H. Yin, "Parameter identification of T-S fuzzy models based on particle swarm optimization algorithms," 26th Chinese Control Conference, Zhangjiajie, China, July 2007.
• H. Xu, K. Xue, S. Yu, X. Z. Gao, C. Qing, and R. Wei, "Control for an innovative robotics platform of rinsing system for vehicles of urban mass transit," IEEE International Conference on Mechanics, Kumamoto, Japan, May 2007.
• W. Wang, X. Z. Gao, and C. Wang, "Fuzzy immune PID controller in material-level control of preheating cylinder system," International Conference on Informatics and Control Technologies, Shenzhen, China, December 2006.
• X. Shen, X. Z. Gao, R. Bie, and X. Jin, "Artificial immune networks: Models and applications," International Conference on Computational Intelligence and Security, Guangzhou, China, November 2006.
• X. Z. Gao, S. J. Ovaska, X. Wang, and M.-Y. Chow, "Clonal optimization of negative selection algorithm with applications in motor fault detection," IEEE International Conference on Systems, Man, and Cybernetics, Taipei, Taiwan, October 2006.
• X. Wang, X. Z. Gao, and S. J. Ovaska, "A hybrid particle swarm optimization method," IEEE International Conference on Systems, Man, and Cybernetics, Taipei, Taiwan, October 2006.
• X. Zhou, C. Sun, and X. Z. Gao, "Scored Pareto MEC for multi-objective optimization and its convergence," IEEE International Conference on Systems, Man, and Cybernetics, Taipei, Taiwan, October 2006.
• Q. Wang, C. Wang, and X. Z. Gao, "A hybrid optimization algorithm based on clonal selection principle and particle swarm intelligence," 6th International Conference on Intelligent System Design and Applications, Jinan, China, October 2006.
• X. Jin, R. Bie, and X. Z. Gao, "An artificial immune recognition system-based approach to software engineering management: with software metrics selection," Sixth International Conference on Intelligent System Design and Applications, Jinan, China, October 2006.
• H. S. Lin, X. Z. Gao, X. Huang, and X. Ban, "A self-organizing fuzzy neural networks," 11th Online World Conference on Soft Computing in Industrial Applications, September-October, 2006.
• X. J. Ban, X. Z. Gao, X. L. Huang, and H. Yin, "Stability analysis of the simplest Takagi-Sugeno fuzzy control system using Popov criterion," 11th Online World Conference on Soft Computing in Industrial Applications, September-October, 2006.
• Z. Y. Song, X. Z. Gao, X. Huang, and H. S. Lin, "A new immune optimization algorithm," International Conference on Machine Learning and Cybernetics, Dalian, China, August 2006.
• W. Cui, S. Qiang, and X. Z. Gao, "Artificial endocrine system and applications," 25th Chinese Control Conference, Harbin, China, August 2006.
• W. Cui, S. Qiang, and X. Z. Gao, "Theory and applications of artificial endocrine system—An overview," 15th Chinese Neural Networks Conference, Harbin, China, August 2006.
• X. Ban, X. Z. Gao, X. Huang, and H. Yin, "Stability analysis of the simplest Takagi-Sugeno fuzzy control system using circle criterion," IEEE World Congress on Computational Intelligence, Vancouver, Canada, July 2006.
• X. Z. Gao, S. J. Ovaska, and X. Wang, "Genetic algorithm-based detector generation in negative selection algorithm," IEEE Mountain Workshop on Adaptive and Learning Systems, Logan, UT, July 2006.
• X. Z. Gao, "Artificial immune systems and their applications," International Workshop on Nature Inspired Cooperative Strategies for Optimization, Granada, Spain, June 2006.
• H. S. Lin, X. Z. Gao, X. Huang, and Z. Y. Song, "An on-line self-organizing fuzzy neural networks with structure learning," International Symposium on Neural Networks, Chengdu, China, June 2006.
• F. Liu, Q. Wang, and X. Z. Gao, "Survey of artificial immune systems," 1st International Symposium on Systems and Control in Aerospace and Astronautics, Harbin, China, January 2006.
• X. Wang, X. Z. Gao, and S. J. Ovaska, "A hybrid optimization algorithm in power filter design," 31st Annual Conference of the IEEE Industrial Electronics Society, Raleigh, NC, November 2005.
• Y. Liu, X. Z. Gao, and X. Wang, "Soft computing in accuracy enhancement of machine tools," 10th Online World Conference on Soft Computing in Industrial Applications, September-October 2005.
• X. Ban, X. Z. Gao, and X. Huang, "Design of a Takagi-Sugeno fuzzy compensator for inverted pendulum control using Bode plots," 10th Online World Conference on Soft Computing in Industrial Applications, September-October 2005.
• X. Z. Gao, S. J. Ovaska, and X. Wang, "A simplified linguistic information feedback-based dynamical fuzzy system with learning algorithm  Part I: Theory," IEEE Mid-Summer Workshop on Soft Computing in Industrial Applications, Espoo, Finland, June 2005.
• X. Z. Gao, S. J. Ovaska, and X. Wang, "A simplified linguistic information feedback-based dynamical fuzzy system with learning algorithm  Part II: Evaluation," IEEE Mid-Summer Workshop on Soft Computing in Industrial Applications, Espoo, Finland, June 2005.
• L. Xu, M.-Y. Chow, and X. Z. Gao, "Comparisons of logistic regression and artificial neural network on power distribution systems fault cause identification," IEEE Mid-Summer Workshop on Soft Computing in Industrial Applications, Espoo, Finland, June 2005.
• C. Sun, W. Li, and X. Z. Gao, "A novel evolutionary algorithm for MCP using MEC," IEEE Mid-Summer Workshop on Soft Computing in Industrial Applications, Espoo, Finland, June 2005.
• C. Sun, W. Wang, and X. Z. Gao, "Scored pareto-MEC in multi-objective optimization," IEEE Mid-Summer Workshop on Soft Computing in Industrial Applications, Espoo, Finland, June 2005.
• X. J. Ban, X. Z. Gao, X. L. Huang, and T. B. Wu, "Analysis of one and two dimensional fuzzy controllers," IEEE International Conference on Fuzzy Systems, Reno, NV, May 2005.
• X. Z. Gao, S. J. Ovaska, X. Wang, and M.-Y. Chow, "A neural networks-based adaptive negative selection algorithm with application in motor fault diagnosis," IEEE International Conference on Systems, Man, and Cybernetics, The Hague, The Netherlands, October 2004.
• X. Z. Gao, S. J. Ovaska, and X. Wang, "Learning algorithm for Linguistic Information Feedback-based Dynamical Fuzzy Systems (LIFDFS)," IEEE International Conference on Systems, Man, and Cybernetics, The Hague, The Netherlands, October 2004.
• X. Wang, X. Z. Gao, and S. J. Ovaska, "Artificial immune systems in optimization — A survey," IEEE International Conference on Systems, Man, and Cybernetics, The Hague, The Netherlands, October 2004.
• X. Ban, X. Z. Gao, and X. Huang, "Design of a hybrid fuzzy-PD controller for inverted pendulum," IEEE International Conference on Systems, Man, and Cybernetics, Hague, Netherlands, October 2004.
• S. Qiang, X. Z. Gao, T. Zhang, and X. Wang, "Frequency response characteristics of neural networks-based predictive filters in motor control systems," 12th Mediterranean Conference on Control and Automation, Kusadasi, Turkey, June 2004.
• X. Z. Gao and S. J. Ovaska, "Linguistic Information Feed-Forward-based Dynamical Fuzzy Systems (LIFFDFS)  Part I: Theory," IEEE International Workshop on Soft Computing in Industrial Applications, Binghamton, New York, June 2003.
• X. Z. Gao and S. J. Ovaska, "Linguistic Information Feed-Forward-based Dynamical Fuzzy Systems (LIFFDFS)  Part II: Evaluation," IEEE International Workshop on Soft Computing in Industrial Applications, Binghamton, New York, June 2003.
• S. Qiang, X. Z. Gao, and X. Zhuang, "State-of-the-art in soft computing-based motor fault diagnosis," IEEE International Conference on Control Applications, Istanbul, Turkey, June 2003.
• S. Qiang, T. Zhang, X. Z. Gao, and X. Zhuang, "CIPS-based alcohol production process monitoring and optimal control systems," IEEE International Conference on Control Applications, Istanbul, Turkey, June 2003.
• S. Qiang, X. Z. Gao, and X. Zhuang, "A PLC-based control system for industrial production of fuel alcohol," IEEE International Conference on Industrial Technology, Bangkok, Thailand, December 2002.
• S. Qiang, X. Z. Gao, and X. Zhuang, "Neural networks in friction compensation, velocity & acceleration signals measurement, and PID tuning," IEEE International Conference on Industrial Technology, Bangkok, Thailand, December 2002.
• X. Z. Gao and S. J. Ovaska, "Predictive fuzzy filtering for line frequency signal processing," IEEE International Conference on Systems, Man, and Cybernetics, Hammamet, Tunisia, October 2002.
• G. Fung, X. Z. Gao, and S. J. Ovaska, "Fault detection in ink jet printers using neural networks," IEEE International Conference on Systems, Man, and Cybernetics, Hammamet, Tunisia, October 2002.
• S. Qiang, X. Z. Gao, X. Zhuang, and G. Liu, "CIMS-based process monitoring and control for alcohol production," IEEE International Conference on Systems, Man, and Cybernetics, Hammamet, Tunisia, October 2002.
• S. Qiang, X. Z. Gao, X. Zhuang, and Z. Liu, "Application of PLCs in fuel alcohol production process," 2nd International Symposium on Instrumentation Science and Technology, Jinan, China, August 2002.
• S. Qiang, X. Zhuang, X. Mei, X. Z. Gao, and Z. Liu, "Design and implementation of an adaptive PID controller using single neuron learning algorithm," 4th World Congress on Intelligent Control and Automation, Shanghai, China, June 2002.
• S. Qiang, X. Zhuang, S. Wang, X. Mei, G. Liu, and X. Z. Gao, "Process monitoring and optimal control in alcohol production enterprises under a CIMS information integration environment," 4th World Congress on Intelligent Control and Automation, Shanghai, China, June 2002.
• X. Z. Gao and S. J. Ovaska, "A linguistic information feedback-based fuzzy system," NATO Advanced Research Workshop on Systematic Organization of Information in Fuzzy Systems, Vila Real, Portugal, October 2001.
• S. J. Ovaska and X. Z. Gao, "Soft computing in industrial innovation: case study on home appliance technology," IEEE International Conference on Systems, Man, and Cybernetics, Tucson, Arizona, October 2001.
• Y. Dote, S. J. Ovaska, and X. Z. Gao, "Fault detection using RBFN- and AR-based general parameter methods," IEEE International Conference on Systems, Man, and Cybernetics, Tucson, Arizona, October 2001.
• S. Qiang, X. Z. Gao, and X. Zhuang, "Applications of neural networks in servo systems  A survey," 6th Online World Conference on Soft Computing in Industrial Applications, September 2001.
• X. Z. Gao, S. J. Ovaska, and Y. Dote, "DFSLIF: dynamical fuzzy system with linguistic information feedback," IEEE Mountain Workshop on Soft Computing in Industrial Applications, Blacksburg, Virginia, June 2001.
• J. Martikainen, J. Tanskanen, X. Z. Gao, and S. J. Ovaska, "Organizing an online soft computing conference: A case study," IEEE Mountain Workshop on Soft Computing in Industrial Applications, Blacksburg, Virginia, June 2001.
• X. Z. Gao and S. J. Ovaska, "Fuzzy-neuro technique-based intelligent fault diagnosis in electrical motor systems," 13th International Conference on Computer Applications in Industry and Engineering, Honolulu, Hawaii, November 2000.
• X. Z. Gao and S. J. Ovaska, "Fuzzy information processing with neural networks," IEEE International Conference on Systems, Man, and Cybernetics, Nashville, Tennessee, October 2000.
• X. Z. Gao, S. J. Ovaska, and Y. Dote, "Motor fault detection using Elman neural network with genetic algorithm-aided training," IEEE International Conference on Systems, Man, and Cybernetics, Nashville, Tennessee, October 2000.
• X. Z. Gao and S. J. Ovaska, "Advances in soft computing-based motor fault diagnosis," 5th Online World Conference on Soft Computing in Industrial Applications, September 2000.
• S. Qiang, C. Wang, and X. Z. Gao, "Application of a single neuron-based PID controller in DC motor systems," 5th Online World Conference on Soft Computing in Industrial Applications, September 2000.
• X. Z. Gao and S. J. Ovaska, "Fault diagnosis of electric motors using soft computing  An overview," IEEE Nordic Workshop on Power and Industrial Electronics, Aalborg, Denmark, June 2000.
• X. Z. Gao and S. J. Ovaska, "A new fuzzy filter with application in motion control systems," IEEE International Conference on Systems, Man, and Cybernetics, Tokyo, Japan, October 1999.
• X. Z. Gao and S. J. Ovaska, "Neural networks-based friction compensation with application in servo motor systems," 4th Online World Conference on Soft Computing in Industrial Applications, September 1999.
• X. Z. Gao and S. J. Ovaska, "Friction compensation in servo motor systems using neural networks," IEEE Midnight-Sun Workshop on Soft Computing Methods in Industrial Applications, Kuusamo, Finland, June 1999.
• L. He, K. Wang, H. Jin, G. Li, and X. Z. Gao, "The combination and prospects of neural networks, fuzzy logic, and genetic algorithms," IEEE Midnight-Sun Workshop on Soft Computing Methods in Industrial Applications, Kuusamo, Finland, June 1999.
• J. Q. Zhang, S. J. Ovaska, and X. Z. Gao, "A novel MIMO fuzzy model," IEEE SoutheastCon, Lexington, Kentucky, March 1999.
• J. Q. Zhang, S. J. Ovaska, and X. Z. Gao, "An eigenvalue residuum-based criterion for detection of the number of sinusoids in white Gaussian noise," IEEE SoutheastCon, Lexington, Kentucky, March 1999.
• X. Z. Gao and S. J. Ovaska, "Comparison of conventional and soft computing-based control methods in a power regulation application," IEEE International Conference on Systems, Man, and Cybernetics, San Diego, California, October 1998.
• S. Väliviita, X. Z. Gao, and S. J. Ovaska, "Polynomial predictive filters: complementing technique to fuzzy filtering," IEEE International Conference on Systems, Man, and Cybernetics, San Diego, California, October 1998.
• X. Z. Gao, A. Dumitrescu, V. Burtea, and S. J. Ovaska, "A new fuzzy adaptive filter with application in DC motor control system," IEEE Nordic Workshop on Power and Industrial Electronics, Espoo, Finland, August 1998.
• X. Z. Gao, "A temporal difference method-based prediction scheme applied to fading power signals," IEEE International Joint Conference on Neural Networks, Anchorage, Alaska, May 1998.
• X. Z. Gao, S. Väliviita, S. J. Ovaska, and J. Q. Zhang, "Neural networks-based approach to the acquisition of acceleration from noisy velocity signal," IEEE Instrumentation and Measurement Technology Conference, St. Paul, Minnesota, May 1998.
• X. Z. Gao, X. M. Gao, and S. J. Ovaska, "Fast reinforcement learning algorithm for power control in cellular communication systems," IEEE International Conference on Systems, Man, and Cybernetics, Orlando, Florida, October 1997.
• X. Z. Gao, X. M. Gao, and S. J. Ovaska, "Trajectory control based on a modified Elman neural network," IEEE International Conference on Systems, Man, and Cybernetics, Orlando, Florida, October 1997.
• X. M. Gao, X. Z. Gao, and S. J. Ovaska, "Power command enhancement in mobile communication systems using an embedded fuzzy unit," IEEE International Conference on Systems, Man, and Cybernetics, Orlando, Florida, October 1997.
• X. Z. Gao, X. M. Gao, and S. J. Ovaska, "A/D converter resolution enhancement using neural networks," IEEE Instrumentation and Measurement Technology Conference, Ottawa, Ontario, Canada, May 1997.
• X. M. Gao, X. Z. Gao, and S. J. Ovaska, "Power prediction using an optimal neuro-fuzzy predictor," IEEE Instrumentation and Measurement Technology Conference, Ottawa, Ontario, Canada, May 1997.
• X. M. Gao, X. Z. Gao, J. M. A. Tanskanen, and S. J. Ovaska, "Power control for mobile DS/CDMA systems using a modified Elman neural network controller," IEEE 47th Vehicular Technology Conference, Phoenix, Arizona, May 1997.
• X. Z. Gao, X. M. Gao, and S. J. Ovaska, "A modified Elman neural network model with applications to dynamical systems identification," IEEE International Conference on Systems, Man, and Cybernetics, Beijing, China, October 1996.
• X. Z. Gao, C. Wang, X. M. Gao, and S. J. Ovaska, "A new CMAC neural network model with adaptive quantization input layer," 3rd International Conference on Signal Processing, Beijing, China, October 1996.
• C. Wang, L. Xu, X. Z. Gao, and X. Zhuang, "The training stability of fully recurrent neural networks," Chinese Youth Automation Conference, Wuyishan, China, September 1996.
• X. Z. Gao, C. Wang, L. Xu, and X. Zhuang, "Control of the inverted pendulum using genetic algorithms," Heilongjiang Control Theory, Technology, and Applications Conference, Weihai, China, September 1995.
• X. Z. Gao, C. Wang, L. Xu, and X. Zhuang, "CMAC-based reinforcement learning control," Chinese Intelligent Automation Conference, Tianjin, China, August 1995.

• N. Shanthi, A. Aadhishri, R. C. Suganthe, and X. Z. Gao, "Early prediction of sepsis using machine learning algorithms: A review," Computational Sciences and Sustainable Technologies. S. J. C. Aurelia, A. Immanuel, J. Mani, and V. Padmanabha (Eds.), Springer-Verlag, 2024.
• A. Fouad, X. Z. Gao, A. Abboudi, and S. Bououden, "A spider monkey optimization based on local search-based heuristic method for Unmanned Combat Aerial Vehicle (UCAV) path planning," Lecture Notes in Electrical Engineering, vol. 1147. S. Ziani, M. Chadli, S. Bououden, and I. Zelinka (Eds.), Springer-Verlag, 2024.
• G. Kanimozhi, O. V. Gnanawathika, and X. Z. Gao, "Nonlinear controller for electric vehicles in smart buildings," Smart Buildings Digitalization. O. V. Gnana Swathika, K. Karthikeyan, and S. Padmanaban (Eds.), CRC Press, 2022.
• K. Kalita, R. K. Ghadai, D. S. Shinde, and X. Z. Gao, "Data-driven genetic programming-based symbolic regression metamodels for EDM process," Data-Driven Optimization of Manufacturing Processes. K. Kalita, R. K. Ghadai, and X. Z. Gao (Eds.), IGI Global, 2020.
• X. Z. Gao, X. Wang, K. Zenger, and H. Xu, "Harmony search method-based electrical machine design," Nature Inspired Computing: Theory and Industrial Application. B. K. Panigrahi (Eds.), Heidelberg, Germany: Springer-Verlag, 2017.
• S. Balakrishnan, X. Z. Gao, and S. Hariharasudhan, "Integration of cloud and a peer-to-peer central-registry based Internet of Things (IoT) protocol," Engineering & Technology: Latest Progress. Delhi, India: Meta Research Press, 2017.
• K. Sathish Shet, A. R. Aswath, M. C. Hanumantharaju, and X. Z. Gao, "Design of reconfigurable architectures for steganography system," Applied Video Processing in Surveillance and Monitoring Systems. N. Dey, A. Ashour, and S. Acharjee (Eds.), IGI Global, 2016.
• H. Xu, X. Z. Gao, T. Wang, and K. Xue, "Harmony search optimization algorithm: Application to a reconfigurable mobile robot prototype," Recent Advances in Harmony Search Algorithm. Z. W. Geem (Eds.), Heidelberg, Germany: Springer-Verlag, 2010.
• X. Z. Gao, X. Wang, and S. J. Ovaska, "Harmony search methods for multi-modal and constrained optimization," Music-Inspired Harmony Search Algorithms. Z. W. Geem (Eds.), Heidelberg, Germany: Springer-Verlag, 2009.
• X. Z. Gao, S. J. Ovaska, and X. Wang, "Negative selection algorithm with applications in motor fault detection," Soft Computing in Industry. B. Prasad (Eds.), Heidelberg, Germany: Springer-Verlag, 2008.
• X. Z. Gao and S. J. Ovaska, "Dynamical fuzzy systems with linguistic information feedback," Systematic Organization of Information in Fuzzy Systems. P. Melo-Pinto, H-N. Teodorescu, and T. Fukuda (Eds.), Amsterdam, The Netherlands: IOS Press, 2003.
• X. Z. Gao and S. J. Ovaska, "Motor fault detection and diagnosis using soft computing," Soft Computing in Industrial Electronics. S. J. Ovaska and L. M. Sztandera (Eds.), Heidelberg, Germany: Physica-Verlag, 2002.
• S. Gurumoorthy, N. B. Muppalaneni, and X. Z. Gao, Computational Intelligence Techniques in Diagnosis of Brain Diseases, Springer-Verlag, Springer Briefs in Applied Sciences and Technology, 2018.
• X. Wang, X. Z. Gao, and K. Zenger, An Introduction to Harmony Search Optimization Method, Springer-Verlag, Springer Briefs in Computational Intelligence, 2014.
• A. K. Luhach, D. S. Jat, K. B. G. Hawari, X. Z. Gao, and P. Lingras (eds.), Advanced Informatics for Computing Research, Springer, 2022.
• K. Kalita, R. K. Ghadai, and X. Z. Gao (eds.), Data-Driven Optimization of Manufacturing Processes, IGI Global, 2020.
• G. R. Karpagam, B. V. Kumar, J. U. Maheswari, and X. Z. Gao (eds.), Smart Cyber Physical Systems: Advances, Challenges and Opportunities, Chapman and Hall/CRC, 2020.
• R. C. Poonia, X. Z. Gao, L. Raja, S. Sharma, and S. Vyas (eds.), Smart Farming Technologies for Sustainable Agricultural Development, IGI Global, 2018.
• S. Gurumoorthy, B. N. K. Rao, and X. Z. Gao (eds.), Cognitive Science and Artificial Intelligence: Advances and Applications, Springer-Verlag, Springer Briefs in Applied Sciences and Technology, 2018.
• A. K. Sangaiah, X. Z. Gao, and A. Abraham (eds.), Handbook of Research on Fuzzy and Rough Set Theory in Organizational Decision Making, IGI Global, 2017.
• X. Z. Gao, A. Gaspar-Cunha, M. Koeppen, G. Schaefer, and J. Wang (eds.), Soft Computing in Industrial Applications - Algorithms, Integration, and Success Stories, Springer Advances in Intelligent and Soft Computing, 2010.

• https://orcid.org/0000-0002-0078-5675
• https://sciprofiles.com/profile/458617
• https://www.webofscience.com/wos/author/record/Q-3038-2016