Dr. Mahalakshmi Sampath

About

Dr. S. Mahalakshmi is an accomplished academician and researcher in Computer Science with over 17 years of experience in higher education, teaching, and research innovation. She earned her Ph.D. in Computer Science from Madhav University in 2025, an MCA from Periyar University, where she ranked 5th in the university, and a BCA from Bharathiar University.

Her teaching career spans institutions in South India, North India and internationally, providing her with diverse academic exposure. She has served as Head of Department, Computer Science & Engineering at Lingayas Vidyapeeth, Haryana and also in Madhav University, Rajasthan overseeing faculty coordination, admissions, and curriculum restructuring. She has integrated industry trends into undergraduate syllabi, designed unit structures, and supervised research scholars in AI and ML.

Her research expertise includes Artificial Intelligence, Deep Learning, and Medical Image Processing, with contributions to Scopus indexed publications, patents, books, and chapters. She is a member of IEEE, ACM, and CSI, reflecting her commitment to academic excellence and innovation.

Experience

• 17+ Years

Qualification

• Ph.D. in Computer Science
• MCA (Master of Computer Applications)
• BCA (Bachelor of Computer Applications)

Award & Recognition

Membership –

• All India Council For Technical Skill Development
• The Asia Society of Researchers
• International Computer Science and Engineering Society
• IEEE Professional Member

Research

Total: 30 publications including SCOPUS journals, books, book chapter and Patent

Publications:

• Kaushik, P., Mishra, A. K., Kumari, A., Pradhan, R., Gosai, P., & Sampath, M. (2026). An imbalance-aware machine learning approach to credit card fraud detection using SMOTE & AdaBoost. 2026 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), Gwalior, India, 1–5. https://doi.org/10.1109/IATMSI68868.2026.11465927
• Kaushik, P., Mahalakshmi, S., Upadhyay, R. K., Akhtar, M. A. K., Gopika, B. S., & Roy, S. (2024). Sensor fusion in autonomous vehicle decision-making. 4th International Conference on Advancement in Electronics and Communication Engineering (AECE 2024). https://doi.org/10.1109/AECE62803.2024.10911421
• Kaushik, P., Mahalakshmi, S., Singh, S., Agrawal, A. K., Nazli, S., & Sneha, G. (2024). Challenges in integrating data analytics in small businesses. 1st International Conference on Advances in Computing, Communication and Networking (ICAC2N). https://doi.org/10.1109/ICAC2N63387.2024.10895832
• Sampath, M., & Khan, M. A. (2025). Gaussian-enhanced CNN model for diagnosis of diabetic retinopathy stages with various deep learning models. Indian Journal of Natural Sciences, 16(89), 93305–93314. https://doi.org/10.13140/RG.2.2.29664.3968.
• Computer Fan using Machine Learning - Certificate of Registration for a UK Design, International, Patent Number: 6281615, 2023.
• Hand Held Grains Inspection Device-Indian Patent, Patent number: 202511128238, 2025

Certifications

• Advance Your Skills in Deep Learning and Neural Networks

Area of Interest

• Artificial Intelligence, Machine Learning, Deep Learning. Medical Image Processing