Dr. Mudassir Khan is a distinguished academician, researcher, author, and consultant with a robust background in computer science and data analytics. He earned his Master of Computer Applications (MCA) from Gautam Budh Technical University, India, and subsequently completed his Ph.D. in Big Data Analytics using Deep Learning from Noida International University, India. Currently, he is pursuing a postdoctoral fellowship in the Faculty of Computing Informatics at Multimedia University, Malaysia. He is Co-Supervisor for Postgraduate Studies in the Centre of Postgraduate Studies, Department of Computer Science, Lincoln University College, Malaysia.

With over 13+ years of teaching and research experience, Dr. Khan has made significant contributions to the field while serving as an Assistant Professor in the Department of Computer Science at the College of Computer Science, Applied College, Tanumah, King Khalid University, Kingdom of Saudi Arabia. His expertise encompasses a broad spectrum of subjects, including Big Data, Deep Learning, Machine Learning, Data Science, the Internet of Things (IoT), and Artificial Intelligence, medical imaging particularly in the context of healthcare.

Dr. Khan is a prolific author, having published over 130+ research articles in prestigious international referred journals, including those indexed by SCI, SCIE, and SCOPUS. His work has also been presented at various international conferences, with publications indexed in Springer, IEEE Xplore, and ACM. Dr. Khan has edited numerous books published by esteemed publishers such as Springer, Wiley, Bentham Science, Nova Publishers, and Elsevier. In addition to his articles, he has authored four books in the field of computer science.

Through his work, Dr. Mudassir Khan continues to inspire future generations of researchers and practitioners, making significant strides in the realms of technology and education.

• Cyber Security
• Fuzzy Logic
• Internet of Things (IoT)
• Blockchain
• Machine Learning
• Deep Learning
• Big Data Analytics
• Big Data & Edge Computing
• Image Processing
• Big Data/AI

• Khan, M. and M. D. Ansari (2020). "Multi-criteria software quality model selection based on divergence measure and score function." Journal of Intelligent & Fuzzy Systems 38(3): 3179-3188. 10.3233/JIFS-191153.
• Khan, M. (2021). Smart And Effective Environment Monitoring using Internet of Things. Biosc.Biotech.Res.Comm., 14(7), 258–262. https://doi.org/10.21786/bbrc/14.7.57
• Khan, M; Ilavendhan, A.; Babu, C.N.K.; Jain, V.; Goyal, S.B.; Verma, C.; Safirescu, C.O.; Mihaltan, T.C. Clustering Based Optimal Cluster Head Selection Using Bio-Inspired Neural Network in Energy Optimization of 6LowPAN. Energies 2022, 15, 4528. https://doi.org/10.3390/en15134528
• Li Xiaojuan, Khan Mudassir and Ansari Dilshad Mohd, Design and Development of a Data Structure Visualisation System Using the Ant Colony Algorithm, Recent Advances in Electrical & Electronic Engineering 2023; 16 (2) https://dx.doi.org/10.2174/2352096515666220617111139
• Lu, Y., Khan, M. & Ansari, M. (2022). Face recognition algorithm based on stack denoising and self-encoding LBP. Journal of Intelligent Systems, 31(1), 501-510. https://doi.org/10.1515/jisys-2022-0011
• Ting, L., Khan, M*., Sharma, A. & Ansari, M. (2022). A secure framework for IoT-based smart climate agriculture system: Toward blockchain and edge computing. Journal of Intelligent Systems, 31(1), 221-236. https://doi.org/10.1515/jisys-2022-0012
• Muqeem Ahmed, Mohd Dilshad Ansari, Ninni Singh, Vinit Kumar Gunjan, Santhosh Krishna B. V., Mudassir Khan, "Rating-Based Recommender System Based on Textual Reviews Using IoT Smart Devices", Mobile Information Systems, vol. 2022, Article ID 2854741, 18 pages, 2022. https://doi.org/10.1155/2022/2854741
• Khan, M., Hariharasitaraman, S., Joshi, S., Jain, V., Ramanan, M., SampathKumar, A. et al. (2022) A deep learning approach for facial emotions recognition using principal component analysis and neural network techniques. The Photogrammetric Record, 00, 1–18, https://doi.org/10.1111/phor.12426
• Chinnasamy, P.; Albakri, A.; Khan, M.; Raja, A.A.; Kiran, A.; Babu, J.C. Smart Contract-Enabled Secure Sharing of Health Data for a Mobile Cloud-Based E-Health System. Appl. Sci. 2023, 13, 3970. https://doi.org/10.3390/app13063970
• Prasanna, K.; Khan, M.; Alshahrani, S.M.; Kiran, A.; Phanindra Kumar Reddy, P.; Alymani, M.; Chinna Babu, J. Continual Learning Approach for Continuous Data Stream Analysis in Dynamic Environments. Appl. Sci. 2023, 13, 8004. https://doi.org/10.3390/app13148004
• Vellaichamy, J.; Basheer, S.; Bai, P.S.M.; Khan, M.; Kumar Mathivanan, S.; Jayagopal, P.; Babu, J.C. Wireless Sensor Networks Based on Multi-Criteria Clustering and Optimal Bio-Inspired Algorithm for Energy-Efficient Routing. Appl. Sci. 2023, 13, 2801. https://doi.org/10.3390/app13052801
• Venkatesh, B.; Khan, M.; Alabduallah, B.; Kiran, A.; Babu, J.C.; Bhargavi, B.; Alhayan, F. Design Optimization of Counter-Flow Double-Pipe Heat Exchanger Using Hybrid Optimization Algorithm. Processes 2023, 11, 1674. https://doi.org/10.3390/pr11061674
• Chowdary, M.K.; Turaka, R.; Alabduallah, B.; Khan, M.; Babu, J.C.; Kiran, A. Low-Power Very-Large-Scale Integration Implementation of Fault-Tolerant Parallel Real Fast Fourier Transform Architectures Using Error Correction Codes and Algorithm-Based Fault-Tolerant Techniques. Processes 2023, 11, 2389. https://doi.org/10.3390/pr11082389
• Venkatesh, C. et al., An automatic diagnostic model for the detection and classification of cardiovascular diseases based on swarm intelligence technique. Heliyon, Volume 10, Issue 3, e25574; https://doi.org/10.1016/j.heliyon.2024.e25574
• Venkatesh B, Kiran A, Khan M, Rahmani MKI, Upadhyay L, et al. (2024) Performance optimization for an optimal operating condition for a shell and heat exchanger using a multi-objective genetic algorithm approach. PLOS ONE 19(6): e0304097. https://doi.org/10.1371/journal.pone.0304097
• Karimullah S, Khan M, Shaik F, Alabduallah B and Almjally A (2024) An integrated method for detecting lung cancer via CT scanning via optimization, deep learning, and IoT data transmission. Front. Oncol. 14:1435041. doi: 10.3389/fonc.2024.1435041
• Venkatesh, A., Prakash Raj, M., Baranidharan, B., Rahmani, M. K. I., Tasneem, K. T., Khan, M., & Giri, J. (2024). Analyzing steady-state equilibria and bifurcations in a time-delayed SIR epidemic model featuring Crowley-Martin incidence and Holling type II treatment rates. Heliyon, 10(21), e39520. https://doi.org/10.1016/j.heliyon.2024.e39520
• Swapandeep Kaur, Sheifali Gupta, Deepali Gupta, Sapna Juneja, Ali Nauman, Mudassir Khan, Izhar Husain, Asharul Islam, Saurav Mallik, High-accuracy lung disease classification via logistic regression and advanced feature extraction techniques, Egyptian Informatics Journal, Volume 29, 2025, https://doi.org/10.1016/j.eij.2024.100596
• Muduli, Debendra and Shookdeb, Shantanu and Dash, Sujata and Husain, Izhar and Khan, Mudassir and Islam, Asharul and Mallik, Saurav, Enhancing skin cancer detection with explainable artificial intelligence: A customized extended deep U-shaped encoder decoder network approach, Journal of King Saud University – Science, Volume 37 (1), 2025, 10.25259/JKSUS_280_2024
• Khan, M., Su’ud, M.M., Alam, M.M. et al. Enhancing Breast Cancer Detection Through Optimized Thermal Image Analysis Using PRMS-Net Deep Learning Approach. J Digit Imaging. Inform. med. (2025). https://doi.org/10.1007/s10278-025-01465-y
• Almjally, A., Khan, M., Ismail, M. et al. Broadband Technology Selection Based on Three-Way Decision-Making Model Under the Tripolar Fuzzy Information. Int. J. Fuzzy Syst. (2025). https://doi.org/10.1007/s40815-025-02054-5
• Hasan, N., Saleem, S., Khan, M. et al. Machine learning: enhanced dynamic clustering for privacy preservation and malicious node detection in industrial internet of things. Discov Computing 28, 166 (2025). https://doi.org/10.1007/s10791-025-09689-w
• Marichamy, M., Pandian, N., Kesavan, S., Khan, M., Oruganti, S.K. (2025). Enhanced brain and lung tumor detection by explainable AI techniques. Traitement du Signal, Vol. 42, No. 4, pp. 1935-1943. https://doi.org/10.18280/ts.420408
• M. Khan, R. A. Mahajan, N. R. Sivakumar, et al., “ A Unified Hybrid Model for Cardiovascular Risk Prediction: Merging Statistical, Kernel-Based and Neural Approaches,” Journal of Cellular and Molecular Medicine 29, no. 16 (2025): e70797, https://doi.org/10.1111/jcmm.70797.
• A. Varghese et al., “Robust Skin Cancer Detection through CNN-Transformer-GRU Fusion and Generative Adversarial Network Based Data Augmentation,” Comput. Model. Eng. Sci., vol. 144, no. 2, pp. 1767–1791, 2025. https://doi.org/10.32604/cmes.2025.067999
• Mahajan, R. A., Dey, R., Khan, M., Su’ud, M. M., Alam, M. M., & Jadhav, P. (2025). Enhancing personalization in IoT-based health monitoring via generative AI and transfer learning. Egyptian Informatics Journal, 32, 100788.
• Mahajan, R. A., Khan, M., Dey, R., Nezami, M. M., Bagate, R. A., & Kumbhar, V. (2025). Enhancing Synthetic Medical Images in Healthcare using AI-Based Exposed GANs with Data Augmentation. Current Medical Imaging.
• Goyal, S., Malik, V., Khan, M., Ikram, A., Alabdullah, B., & Almjally, A. (2025). Smart Intercropping System to Detect Leaf Disease using Hyperspectral Imaging and Hybrid Deep Learning for Precision Agriculture. Frontiers in Plant Science, Sustainable and Intelligent Phytoprotection. https://doi.org/10.3389/fpls.2025.1662251
• Morshedur Hassan, M. M., Ray, A., Barbhuyan, M. F., Khan, M., Alabdullah, B., Islam, M. F., & Mohammed Mujahid, B. CottonNet-MHA: A Model for Detecting Cotton Disease Based on Deep Learning. Frontiers in Plant Science, 16, 1664242. https://doi.org/10.3389/fpls.2025.1664242
• Nasra, P., Gupta, S., Khan, M., Singh, J., Alabdullah, B., Almjally, A., ... & Bharany, S. Deep Learning-Based Phenotyping of Lettuce Diseases Using Efficient-FBM-FRMNet for Precision Agriculture. Frontiers in Plant Science, 16, 1704647.
• Malik, V., Khan, M., Bhoyar, P. et al. StegoSec-EHR: A blockchain-enabled IoTFramework for secure HER sharing via steganography in genetic disease diagnosis. Peer-to-Peer Netw. Appl. 18, 325 (2025). https://doi.org/10.1007/s12083-025-02147-w
• Ashokkumar, P., TV, S. K., Khan, M., Su’ud, M. M., Alam, M. M., & Mallik, S. (2025). Ant Colony Optimization for feature selection in breast cancer classification. Egyptian Informatics Journal, 32, 100847.
• Nayak, D. S. K., Pati, A., Panigrahi, A., Khan, M., Alabdullah, B., Sahoo, S. K., ... & Swarnkar, T. (2025). aiGeneR 3.0: an enhanced deep network model for resistant strain identification and multi-drug resistance prediction in Escherichia coli causing urinary tract infection using next-generation sequencing data. Frontiers in Genetics, 16, 1651917.
• Malik, V., Khan, M., Bhoyar, P., Gupta, K., Hussain, M. A., Arora, K., & Mujahid, B. M. (2025). StegoSec-EHR: A blockchain-enabled IoTFramework for secure HER sharing via steganography in genetic disease diagnosis. Peer-to-Peer Networking and Applications, 18(6), 325.
• Chatterjee, K., Bala, B., Khan, M. et al. AiM: urban air quality forecasting with grid-embedded recurrent MLP model. Sci Rep 15, 42812 (2025). https://doi.org/10.1038/s41598-025-27073-y
• Rupali Atul Mahajan, Mudassir Khan, Rajesh Dey, Manzar Nezami, Rupali Amit Bagate, Vijaya Kumbhar, Enhancing the Synthetic Medical Images in Healthcare Using AI-based Exposed GANs with Data Augmentation, Current Medical Imaging; Volume 22, Year 2026, e15734056391394.DOI: 10.2174/0115734056391394251104065630
• Singh, K., Khanna, V., Rathore, S. et al. MXene as electrodes for energy storage: applications in batteries & supercapacitors. J Mater Sci: Mater Electron 36, 2259 (2025). https://doi.org/10.1007/s10854-025-16220-w
• Deka, A., Misra, D. D., Barbhuyan, M. F. K., Khan, M., Hassan, M. M. M., & Hussain, M. A. (2026). An improved hybrid feature selection and classification framework for breast cancer detection using mammography images. Ain Shams Engineering Journal, 17(1), 103897.
• Bhuria, R., Singh, R., Khan, M., Abbas, M., Singh, J., Ksibi, A., ... & Kaur, U. AI-Powered Detection of Pumpkin Leaf Diseases Using DualFusion-CBAM-Stochastic for Yield Protection and Precision Agriculture. Frontiers in Plant Science, 16, 1717226.
• DHANKA, S., Kumar, A., Maini, S., Kumar, N., Singh, J., Khan, M., ... & Ksibi, A. Padding Interpolation, Median Imputation, RobustScalar, and Particle Swarm Optimization with Heterogeneous Classifiers: A Robust Combination for Effective Heart Disease Diagnosis. Frontiers in Medicine, 12, 1721740.
• Khan, M., Khan, A., Ismail, M. et al. A Development of the Circular Non-linear Diophantine Fuzzy Set and Their Application in Cloud Services Provider Selection. Int J Comput Intell Syst 19, 13 (2026). https://doi.org/10.1007/s44196-025-01079-w
• Balajee, A., Vinoth, R., Suresh, A., Khan, M., Mahesh, T. R., & Sayal, A. (2026). Federated hyper LSTM model for storage optimization and collision prediction in an intelligent IoVT. Egyptian Informatics Journal, 33, 100884.
• Borkotoky, B., Deka, B., Bharteey, P.K. et al. Soil erosion: assessing riverbank erosion dynamics in Jorhat district of Assam, India using revised MMF model and GIS techniques. Environ Geochem Health 48, 96 (2026). https://doi.org/10.1007/s10653-026-02988-1
• Khan, M., Rahman, M.I. & Ziar, R.A. A neural network framework for selecting real-time video enhancement algorithms on mobile devices. Sci Rep (2026). https://doi.org/10.1038/s41598-026-36099-9
• Khan, M., Husain, I. Multimodal attention-driven network with blockchain integrity for reliable kidney stone diagnosis. Urolithiasis 54, 47 (2026). https://doi.org/10.1007/s00240-026-01942-1
• Khan, M., Kurada, S. B., Menshawi, A. M., Malik, V., & Altaf, M. M. (2026). Novel bioluminescent oceanic optimization with explainable AI for accurate skin cancer diagnosis and enhanced dermatologist support. Journal of King Saud University. Science, 0(1), 1–16. doi:10.25259/jksus_1183_2025
• Bhambri, P., Khan, M., & Mujahid, B. M. (2026). Advanced effort estimation in software projects using ensemble-based fusion techniques. Egyptian Informatics Journal, 33, 100914. https://doi.org/10.1016/j.eij.2026.100914
• Begum, S.S., Swamy, A., Dhanka, S. et al. Generative adversarial networks and hyperparameter-optimized XGBoost for enhanced heart disease prediction. Sci Rep (2026). https://doi.org/10.1038/s41598-026-40322-y
• Josphineleela, R., Khan, M.., Baskaran, R.., Ul Haque, S. M. F., Shaik, A., & Shankar S., S. (2023). Optimized Support Vector Machine for Big Data Classification NPC. International Journal of Intelligent Systems and Applications in Engineering, 11(6s), 674
• Khan, M. and M. D. Ansari (2019). "Security and Privacy Issue of Big Data over Cloud Computing: A Comprehensive Analysis." International Journal of Recent Technology and Engineering (TM) 7(6s): 413-417.
• Lakshmi, A Ramana; Khan, Mudassir; C, Ranichandra; Mukherjee, Papiya; Sankaradass, Veeramalai; Madiajagan, M.; CHEMICAL MINING USING BIG DATA IMAGE ANALYTICS WITH DEEP THREE-DIMENSIONAL CONVOLUTIONAL NEURAL NETWORK. European Chemical Mining (ECB) 11(11): 105-112-2022
• J. C. Babu, M. Khan, M. R. Nuka, and C. H. Nagaraju, “Detection and classification of COVID-19 using supervised deep learning on MRI images,” Int. J. Bioinform. Res. Appl., vol. 19, no. 4, pp. 233–251, 2023.
• Mr. Rohit, Sethi, K., Khan, M., & Raina, A. (2023). Machine Learning Model for Prediction of the Chemicals Harmfulness on Staff and Guests in the Hospitality Industry: A Pilot Study. Data and Metadata, 2, 161. https://doi.org/10.56294/dm2023161
• B. Venkatesh, Mudassir Khan, J. Chinna Babu, C.H. Nagaraju, R. Madhan Mohan (2024). Influence of performance and emission of diesel engine with alumina nano material-based catalyst biodiesel using IoT. International Journal of Power and Energy Conversion, 2, 10.1504/IJPEC.2024.10065766
• Ghosh, P., Upadhyay, S., Khan, M., & Mujahid, B. M. (2024). Exploring the Diversity of Fermented Plant-Based Beverage with an Emphasis on the Therapeutic Role of Probiotics: A Review. Pakistan Journal of Life and Social Sciences (PJLSS), 22(2). https://doi.org/10.57239/PJLSS-2024-22.2.00107
• Kiran, A., Elseed Ahmed, A., Khan, M., Babu, J., & Kumar, B. (2025). An efficient method for privacy protection in big data analytics using oppositional fruit fly algorithm. Indonesian Journal of Electrical Engineering and Computer Science, 37(1), 670-679. doi:http://doi.org/10.11591/ijeecs.v37.i1.pp670-679
• Hussain, A. Karimullah, S. Khan, M. Shaik, F. "Comprehensive Methodology to the Detection and Classification of Emotion in Human Face using EMOTE-Net," Fusion: Practice and Applications, vol.19, no.1, pp. 10-22, 2025. DOI: https://doi.org/10.54216/FPA.190102
• Mithlesh Arya, Amita Gandhi, Punam Bhoyar, Varun Malik, Mudassir Khan, Kavita Arora. " Hybrid Approach to Classify and Detect Lung Cancer using Neural Network by Transfer Learning and Feature Extraction,"Journal of Information Systems Engineering and Management, vol.10, no. 29(s), pp. 258-264, 2025. DOI: https://doi.org/10.52783/jisem.v10i29s.4474
• Rupali Mahajan, Rajesh Dey, Mudassir Khan, Priya Shelke, Vijaya Kumbhar, Jyoti Shendage. " Blockchain- Enabled Tamper-Proof Vaccine Distribution Records, “Journal of Information Systems Engineering and Management, vol.10, no.27(s), pp. 885-894, 2025. DOI: https://doi.org/10.52783/jisem.v10i27s.4661
• Ochin Sharma, Alwalid Bashier Gism Elseed Ahmed, Mudassir Khan, Ghantasala Gnana Sudha Pradeep, Pellakuri Vidyullatha, & Mohammad Mazhar Nezami. (2025). Computational paradigm for advancing lung cancer drug discovery. International Journal of Public Health Science (IJPHS), 14(3). https://doi.org/10.11591/ijphs.v14i3.25783
• Borah K, Das HS, Khan M, Mallik S. RankXLAN: An explainable ensemble-based machine learning framework for biomarker detection, therapeutic target identification, and classification using transcriptomic and epigenomic stomach cancer data. Med Data Min. 2026;9(1):3. doi:10.53388/MDM202609003
• Khan, M. (2021). Smart And Effective Environment Monitoring using Internet of Things.Biosc.Biotech.Res.Comm.,14(7), 258–262. https://doi.org/10.21786/bbrc/14.7.57

• Khan, M.: Big Data analytics framework for social opinion analysis in Information Management, (Thesis)
• Maurya, A., Khan, M., Kumar, N.: Cyber Security. Nitya Publications, India (2020).
• Priya, A., B, Prasanalakshmi., Khan, M., Kumar, Ravi.: Fundamental Concepts of Computer Programming. Scientific International Publishing House, India (2022).
• Rao, M; Basheer, Shakila; Babu, J; Khan, M; Reddy, B; Hybrid Feature Selection based Machine Learning Approaches for Texture Classification. DreamBook Publishing, India (2023).
• Khan, M.; Basheer, Shakila: ARTIFICIAL INTELLIGENCE: A MODERN APPROACH. gcspublishers, India (2022).
• T V Ramana, G S Ghantasala, R Sathiyaraj, Mudassir Khan (2024): Artificial Intelligence and Machine Learning for Smart Community, CRC/Taylor and Francis Group, https://doi.org/10.1201/9781003409502
• M. Thirunavukkarasan, S.A. Sahaaya Arul Mary, Sathiyaraj R., G.S. Pradeep Ghantasala, and Mudassir Khan (20254): Artificial Intelligence and Machine Learning for Industry 4.0, Scrivener Publishing, Wiley.
• Mondal, S., Kumar, A., & Khan, M. (Eds.). (2025). Digital Twins and ESG. John Wiley & Sons.
• Ghonge, M. M., Liu, H., Khan, M., & Tran, T. A. (Eds.). (2025). Advances in Emerging Technologies and Computing Innovations: Proceedings of First International Conference on Emerging Technologies and Computing Innovations (ICETCI-2025). Springer Nature Switzerland AG
• Sbai, A., Khan, M., Dutta, P., Davim, J., & Onyema Edeh, M. (Eds.). (2026). Transformative Role of Transformer Models in Healthcare. IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-2038-0
• Khan, M., Shaik, F., Karimullah, S., & Tripathi, S. L. (Eds.). (2026). Integration of Internet of Things and Machine Learning: Design models, architectures and application. CRC Press.
• Khan, M., Karimullah, S., Shaik, F., & Margala, M. (Eds.). (2026). Innovative paradigms in oncology. Wiley-Scrivener.
• Singh, V., Khan, M., Malik, V., Kour, S., & Mondal, S. (Eds.). (2026). Intercropping and sustainable agriculture using Internet of Things and artificial intelligence. Wiley-Scrivener.
• Bhambri, P., Dutta, P. K., Khan, M., & Starostka-Patyk, M. (Eds.). (2026). Next-gen supply chains: AI, automation, and sustainability in a disrupted world. Wiley-ISTE.
• Ensuring reliable generative AI in healthcare: Challenges and solutions for diagnosis and treatment systems. Cham, Switzerland: Springer Nature.
• Khan, M. (2021). Quantum Cryptography In Security Aspects. IGI GLOBAL USA`. https://doi.org/10.4018/978-1-7998-6677-0.ch003
• Nagaraju, C., Khan, M., Fahimuddin, S., Karimullah, S. (2025). Time-Correlated Fading Channels for Minimization of Energy Consumption in Wireless Networked Control Systems. In: Kumar, A., Ghinea, G., Merugu, S. (eds) Proceedings of the Third International Conference on Cognitive and Intelligent Computing, Volume 2. ICCIC 2023. Cognitive Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-97-9266-5_60
• Karimullah, S., Shaik, F., Khan, M., Ravi Kishore, M. (2025). Programmable Wireless World with Reconfigurable Intelligent Surfaces for High Speed and Low Noise Data Transmission. In: Kumar, A., Ghinea, G., Merugu, S. (eds) Proceedings of the Third International Conference on Cognitive and Intelligent Computing, Volume 2. ICCIC 2023. Cognitive Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-97-9266-5_65
• Rakesh Babu, B., Riyazuddin, K., Fayaz Basha, S.M.D., Khan, M., Ali, S.A. (2025). Hyper Spectral Imagery System to Detect Endmember Sources. In: Kumar, A., Ghinea, G., Merugu, S. (eds) Proceedings of the Third International Conference on Cognitive and Intelligent Computing, Volume 2. ICCIC 2023. Cognitive Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-97-9266-5_30
• Lakshmi Devi, B., Fahimuddin, S., Khan, M., Ali, S.A. (2025). A Novel Contrast Enhancement Method for Color Images Using Type-II Fuzzy Set Algorithm. In: Kumar, A., Ghinea, G., Merugu, S. (eds) Proceedings of the Third International Conference on Cognitive and Intelligent Computing, Volume 2. ICCIC 2023. Cognitive Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-97-9266-5_27
• Karimullah, S., Gunjan, V.K., Shaik, F., Khan, M. (2025). Smart Reflection Surface with Low Complexity and Maximum Sum Capacity Using MIMO System. In: Kumar, A., Ghinea, G., Merugu, S. (eds) Proceedings of the Third International Conference on Cognitive and Intelligent Computing, Volume 2. ICCIC 2023. Cognitive Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-97-9266-5_64
• Kiran, A., Khan, M., Babu, J.C., Kumar, B.P.S. (2025). Machine Learning Algorithms for Identifying Spam Emails. In: Gupta, A., Hinchey, M., Zalevsky, Z. (eds) Artificial Intelligence and Its Applications. ICAIA 2023. Communications in Computer and Information Science, vol 2308. Springer, Cham. https://doi.org/10.1007/978-3-031-84394-5_1
• Fahimuddin, S., Karimullah, S., Khan, M., Gunjan, V.K. (2025). An Effective Clustering-Based Color Image Segmentation via Substantial Extracted Features. In: Kumar, A., Ghinea, G., Merugu, S. (eds) Proceedings of the Third International Conference on Cognitive and Intelligent Computing, Volume 1. ICCIC 2023. Cognitive Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-97-9262-7_9
• Kumari, N.V., Ghantasala, G.S.P., Ananthanagu, U., Vidyullatha, P. and Khan, M. (2025). The Impact of Generative AI in Gaming. In Generative AI (eds N. Gayathri, S. Rakesh Kumar, R. Chandran, P.R. Chelliah and D. Pelusi). https://doi.org/10.1002/9781394302932.ch6
• Kiran, A., Khan, M., Babu, J. C., Kumar, B. S., & Nezami, M. M. (2026). DDoS Detection Using Semi‐Supervised Machine Learning Algorithms. Digital Twins and ESG, 247-268.
• Hussain, S. A., Khan, M., Babu, J. C., Hussain, S. J., & Hu, Y. C. (2026). An Automated System to Identify and Detect the Faults in Bottle Cap Production and Visual Inspection Using Raspberry Pi. Digital Twins and ESG, 227-246.
• Khan, M., Parveen, S. Z., Karimullah, S., & Mujahid, B. M. (2026). Enhanced Encryption and Digital Signature Scheme Utilizing EC‐Based Encryption and Multi‐Chaotic Pseudo Random Generation. Digital Twins and ESG, 269-291.
• Khan, M., Su’ud, M. M., & Alam, M. M. (2025). Intelligent blockchain-based IoT framework for sustainable secure transportation. Next-Generation Data-Driven Business 4.0 using the Internet of Things, Blockchain, and Interconnected Devices, 200.
• Dey, R., Khan, M., Younes, M. B., Mujahid, B. M., & Karimullah, S. (2025). Immutable and transparent harvesting of Web Blockchain. Next-Generation Data-Driven Business 4.0 using the Internet of Things, Blockchain, and Interconnected Devices, 311.
• Pawar, J., Bhushan, S., Khan, M., Dey, R., & Chouja, I. (2025). Automatic segregated application of enhancing the sizing of stainable. Next-Generation Data-Driven Business 4.0 using the Internet of Things, Blockchain, and Interconnected Devices, 226.
• Khan, M., Dey, R., Kumbhar, V., Shendage, J., & Karimullah, S. (2025). Blockchain complementary model. Next-Generation Data-Driven Business 4.0 using the Internet of Things, Blockchain, and Interconnected Devices, 246.
• Khan, M., Nezami, M. M., Dey, R., & Ahmad, T. (2025). Understanding blockchain technology. Next-Generation Data-Driven Business 4.0 using the Internet of Things, Blockchain, and Interconnected Devices, 1.
• Lokhande, P., Mali, S., Jadhav, N., Khan, M., Ayasrah, F. T., & Cengiz, K. (2026). Digital Twins, Extended Reality, and Artificial Intelligence in Agriculture: Emerging Trends and Insights. The Convergence of Extended Reality and Metaverse in Agriculture, 77-100.
• Pardeshi, D. B., Lokhande, P., Gaikwad, P., Pandit, S., Khan, M., & Bhushan, S. (2026). Enhancing Smart Agriculture Through Digital Twins: A Comprehensive Analysis. In 3D Printing and Digital Twins in Smart Agriculture (pp. 123-150). IGI Global Scientific Publishing.
• Khan, M., Dey, R., Kumbhar, V., Shendage, J., & Karimullah, S. (2025). Blockchain complementary model. Next-Generation Data-Driven Business 4.0 using the Internet of Things, Blockchain, and Interconnected Devices, 246.
• Vinaya Kumari, N., Pradeep Ghantasala, G.S., Ananthanagu, U., Vidyullatha, P., Khan, M. (2025). Augmented Reality and Artificial General Internet of Things Integration in Robotics. In: Malik, M.M., Maryam, H., Khan, I.U., Gupta, S.K. (eds) Artificial General-Internet of Things (AG-IoT) for Robotics: Advanced Computer Vision Applications and Future Trends. Information Systems Engineering and Management, vol 58. Springer, Cham. https://doi.org/10.1007/978-3-031-95302-6_5
• Kanabar, K., Dey, R., Mahajan, R., Jadhav, P. V., Khan, M., & Karimullah, S. (2025). Ecosystems, implementation, governance, and innovations. In Comprehensive guide to blockchain technology (1st ed., pp. 16-24). CRC Press. https://doi.org/10.1201/9781003567585-16
• Mahajan, R., Kanabar, K., Dey, R., Jadhav, P. V., Khan, M., & Ghantasala, G. P. (2025). Transparent blockchain harvesting. In Exploring big tech vulnerabilities (1st ed., pp. 15 CRC Press. https://doi.org/10.1201/9781003567585-15
• Khan, M., Mahajan, R., Dey, R., & Karimullah, S. (2025). A critical analysis of convolutional neural network (CNN) applications. In Addressing data security and privacy challenges (1st ed., pp. 18-34). CRC Press. https://doi.org/10.1201/9781003567585-18
• Mahajan, S., Sharma, G., Thakur, A., Upadhyay, L., Kaushik, K., Khan, M. (2026). Quantum-Resistant Blockchain Framework for Securing IoT Networks. In: Dutta, S., Bhattacharya, A., Bose, S., Polkowski, Z. (eds) Proceedings of International Conference on Computational Intelligence and Information Retrieval. ICCIIR 2025. Lecture Notes in Networks and Systems, vol 1617. Springer, Cham. https://doi.org/10.1007/978-3-032-04539-3_19
• Sharma, G., Mahajan, S., Kaushik, K., Upadhyay, L., Khan, M., Lashari, S.A. (2026). Leveraging Blockchain and AI for Securing Online Competitive Examinations. In: Dutta, S., Bhattacharya, A., Bose, S., Polkowski, Z. (eds) Proceedings of International Conference on Computational Intelligence and Information Retrieval. ICCIIR 2025. Lecture Notes in Networks and Systems, vol 1617. Springer, Cham. https://doi.org/10.1007/978-3-032-04539-3_18
• Kannamma, R., Khan, M., Senthil Ragavan, V.K., Ambhika, C. (2026). Data-Driven Decision Making: Utilizing Big Data for Forest Health. In: Ashwin, M., Sountharrajan, S., Balusamy, B., Prabha, C., Al-Khasawneh, M.A. (eds) Smart Forestry 5.0 for Powered AI Sustainable Environment and Climate. Sustainable Artificial Intelligence-Powered Applications. Springer, Cham. https://doi.org/10.1007/978-3-031-99086-1_12
• Hussain, S. A., Khan, M., Babu, J. C., Hussain, S. J., & Hu, Y. C. (2026). An Automated System to Identify and Detect the Faults in Bottle Cap Production and Visual Inspection Using Raspberry Pi. Digital Twins and ESG, 227-246.
• Thirumalaiah, G. and Khan, M. (2026). Smart Self-Powered Wireless Sensor Network for Industrial Monitoring. In Smart Chips for Smart Devices (eds A. Kumar and S.L. Tripathi). https://doi.org/10.1002/9781394335831.ch8
• BHAMBRI, P. and KHAN, M. (2026). Additive Manufacturing and the Rise of Digital Inventory. In Next-Gen Supply Chains (eds P. Bhambri, P.K. Dutta, M. Khan and M. Starostka-Patyk). https://doi.org/10.1002/9781394446117.ch16

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