Miss Ankita Saha is currently working as an Assistant Professor in the Department of Management and CST (Computer Science & Technology), ABS Academy of Science, Technology & Management, Durgapur, West Bengal, India. I am also pursuing my PhD (Final year). I have several research articles and extensive teaching experience in computer science subjects (specially Data Structure, Computer Architecture, Machine Learning, Networking, Operating systems, Bioinformatics, etc).

Current Position

Currently working as a lecturer in the Department of Management and CST (Computer Science & Technology), ABS Academy of Science, Technology & Management, Durgapur, West Bengal, India.

Education

2023–Present:  PhD (pursuing), Department of Computer Science, Swami Vivekananda University, Kolkata, West Bengal-700033, India.

Enrollment No: 021-PCSE-2023-004; CGPA: 8.88(/10).

Probable Thesis Title: “Genetic feature discovery and Hub gene selection through hypothesis statistical test and machine learning”.

Supervisors: (i) Dr. Shibakali Gupta, Department of Computer Science & Engineering (CSE), University Institute of Technology (UIT), Burdwan-713104, West Bengal, India, and (ii) Dr. Chyan Paul, Department of Computer Science & Engineering, Swami Vivekananda University, West Bengal-700033, India.

2013–2016: Master of Computer Application with DGPA credit of 7.43 (/10) from Academy of Technology, Adisaptagram, Hooghly, West Bengal, India under Maulana Abul Kalam Azad University of Technology, Kolkata, West Bengal, India.

2010–2013: Bachelor of Computer Application with DGPA credit of 7.34 (/10) from George College, Kolkata under Maulana Abul Kalam Azad University of Technology, Kolkata, West Bengal, India.

2010: Higher Secondary with 72.2% (Best of Five), From West Bengal Council of Higher Secondary Education, Kolkata, India.

2008: Secondary with 61.75% from West Bengal Board of Secondary Education, Kolkata, India.

• C-Langauage
• Data Structure
• Machine Learning
• Soft Computing
• Database Management System
• Compiler Design, etc..

• Ankita Saha*, Rajdeep Kabiraj, Riddhi Sekhar Dwibedi, Shibakali Gupta, Chayan Paul, Korhan Cengiz, Nikola Ivković, “Prediction Models for Eye Disorders”, In book: Mallik, S., Soufiene, B.O., Sangeetha, S.K.B., et al. (eds) “AI, Numerical optimization, IoT and Blockchain for Healthcare 4.0", The Institution of Engineering and Technology (IET), March, 2025 (accepted).
• Saboor Uddin Ahmed, Preetam Suman, Akshara Makrariya, Rabia Musheer Aziz, Ankita Saha, Korhan Cengiz, Nikola Ivković, Saurav Mallik, “AI-Driven Insights: A Machine Learning Approach to Lung Cancer Diagnosis”, Journal of Communications, May, 2025 (submitted).
• Ankita Saha, Shibakali Gupta, Chyan Paul, Korhan Cengiz, Nikola Ivkovic and Saurav Mallik, “ Identification of Oncogenic Rule-Clusters using Weighted Rule-Based Similarity Measures: A Case Study in Lung Adenocarcinoma”, Kinases and Phosphatases, MDPI, May, 2025 (submitted).
• Ankita Saha, Shibakali Gupta, Chyan Paul, Saurav Mallik, Korhan Cengiz, “Recent Advancement in Genetic Feature Marker Discovery using Differential Expression and Biostatistical Studies”, Artificial Intelligence in Health, AccScience Publishing, April 2025 (submitted).
• Akshara Makrariya, Rabia Musheer Aziz, Mohd Inshal Naved, Ankita Saha, Mohd Asif Shah, Saurav Mallik, “A Machine Learning Validation for Identifying the difference between Benign Cysts and Malignant Tumors in Breast Cancer”, Chemistry and Biodiversity, May, 2025 (submitted).

No content available to display!!!

No content available to display!!!