About
Dr. Gopal Chandra Jana is an Assistant Professor in the Department of Computer Science & Engineering (CSE) at the Sharda School of Computing Science and Engineering, Sharda University, Greater Noida. He completed his full-time PhD under the supervision of Prof. Anupam Agrawal in the Department of Information Technology, IIIT Allahabad (Prayagraj) — one of India's premier Centrally Funded Technical Institutions (CFTIs). He holds a Bachelor of Engineering (B.E.) in Information Technology from The University of Burdwan (2015) and a Master of Technology (M.Tech.) in Computer Science and Engineering from the School of Computer Engineering, KIIT University (2017).
His teaching expertise spans Artificial Intelligence, Machine Learning, Deep Learning, Brain Computer Interface, and Data Structures & Algorithms, and he has extensive experience mentoring UG, PG, and PhD students in their academic and research endeavours.
His research interests lie at the intersection of neuroscience and computing, encompassing Brain-Computer Interface (BCI), EEG Signal Analysis, Biomedical Signal and Image Processing, Vision and Signal Processing, Machine Learning, Deep Learning, Explainable AI, Reinforcement Learning, AI in Healthcare, Portable Real-time Healthcare Systems, and Assistive Technology for Health and Wellness.
Dr. Jana has authored 15+ research publications and holds a registered Copyright for the EEG VMAC Toolbox, a software tool developed as part of his research contributions. He is a Member of IEEE (USA) and an Associate Member of the Institution of Engineers India (IEI), reflecting his active engagement with the global engineering community.
He serves as a reviewer for several prestigious internationally indexed journals, including IEEE Transactions and Elsevier's Biomedical Signal Processing and Control (BSPC).
Dr. Jana holds professional certifications in Signals and Image Processing (GAIN), Advanced Algorithmic Problem Solving (GeeksforGeeks), Deep Learning, and MATLAB, underscoring his commitment to continuous learning and technical excellence. He has also earned HackerRank Five-Star Badges in both Problem Solving and Python, demonstrating strong competitive programming and coding proficiency.