Associate Professor | Guru Nanak Institute of Technology | India
Dr. Suparna Biswas is Associate Professor in the Department of Electronics and Communication Engineering and Controller of Examinations at Guru Nanak Institute of Technology, with expertise in image processing, signal processing, control systems, and machine learning. She earned her PhD in Engineering from IIEST Shibpur after completing her M.Tech in Control Systems at Jadavpur University and B.Tech in Electronics and Communication Engineering at Kalyani Government Engineering College. With extensive academic and administrative experience, she has advanced through faculty roles and taken on leadership responsibilities such as coordinating NAAC and AQAR committees, serving as convener of faculty development programs and national conferences, and securing competitive research funding. Her prolific research record includes more than 60 publications in SCI, Scopus, and WoS indexed journals and conferences, authorship of books, and contributions to patents, with recent works addressing vision transformers, signal analysis, and AI applications in healthcare. She has guided PhD and postgraduate scholars and consistently contributed to advancing academic innovation. Recognized with multiple honors including Best Paper Awards at international conferences, the JIS Samman for patent publications, and the Most Promising Academician award, she also serves as reviewer for reputed SCI and Scopus journals and holds editorial board memberships. A corporate member of the Institution of Engineers (India) and an active member of FOSET, she has also completed certifications in machine learning, artificial intelligence, and data science. Dr. Biswas’s academic and research contributions underscore her leadership in engineering education and her commitment to advancing multidisciplinary innovation. Her Scopus profile reflects 84 citations, 27 publications, and an h-index of 4.
Profiles: Scopus | Google Scholar | ORCID
Featured Publications
1. Biswas S., Designing optimal Vision Transformer architecture using differential evolution for tomato leaf disease classification. Comput. Electron. Agric., 2025, 238, 110824.
2. Chattopadhyaya A., Biswas S., Rakshit S., Jana N.D., Mondal A., Statistical Signal Processing and Machine Learning Based Diagnosis of Arrhythmia. Int. J. Comput. Inf. Syst. Ind. Manag. Appl., 2025, 17, 362–374.