Dr. Rajdeep Chatterjee
Co-founder, Amygdala AI
Associate Professor,
School of Computer Engineering,
Campus-14, KIIT Deemed to be University,
Bhubaneswar-751024, Odisha, India.
mail: rajdeepfcs@kiit.ac.in, cse.rajdeep@gmail.com
Achievements: Qualified GATE-2008 with All India Rank 1410 and KIITEE-2009 (M.Tech-CS) with All India Rank 1.
Research / Teaching Experience: 10 years / 12 years
Research Interests: Brain-Computer Interface, Machine Learning, Deep Learning, and Computer Vision.
Subjects Expertise: Soft Computing, Data Mining, Machine Learning, Artificial Intelligence, and Data Structure
Rajdeep Chatterjee received his Bachelor of Engineering in Computer Science and Engineering from The University of Burdwan in 2008. He completed both his Master of Technology and Ph.D. in Computer Science and Engineering from KIIT Deemed to be University in 2011 and 2020, respectively. He received MHRD (Govt. of India) scholarship in his masters for possessing All India Rank 1410 in GATE-2008. He started his professional career as Project Linked Person at Machine Intelligence Unit, Indian Statistical Institute, Kolkata. He is currently working as an Associate Professor at School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India. Besides, he is associated as an expert member in the Cognitive Systems and Cybernetics Research Lab., MIU, ISI Kolkata, India. He is also one of the founding members of the international conference series on Computational Intelligence & Networks (http://www.cineconf.org). He has published research articles in many reputed international conferences and journals. He is a regular reviewer of various reputed journals such as Medical & Biological Eng. & Computing (SCI-E, IF: 2.602), IEEE Transactions on Biomedical Engineering (SCI-E, IF: 4.538), IEEE Journal of Biomedical and Health Informatics (SCI-E, IF: 5.223), Computers in Biology and Medicine (SCI-E, IF: 4.589), IEEE Transactions on Emerging Topics in Computational Intelligence (Scopus, IF: 8.28), Evolutionary Intelligence (Scopus, DBLP), etc. His research areas include Brain-Computer Interface, Machine Learning, Deep Learning and Computer Vision.