Artificial Intelligence and Data Science Based R&D Interventions (PDF)

(Specialization: Microwave Engineering) from IIT Kharagpur and the Ph.D. degree in Engineering from Jadavpur University, Kolkata, India.
Dr. Debanga Raj Neog is an Assistant Professor at Mehta Family School of Data Science and Artificial Intelligence (MFSDS&AI), IIT Guwahati. He obtained his Ph.D. in Computer Science from The University of British Columbia (UBC), Vancouver, Canada in 2018 and his B.Tech. in Electronics and Communication Engineering from IIT Guwahati, India. His research interests span across computer vision, computer graphics, machine learning, and virtual/augmented reality. He is a recipient of the Mitacs Globalink Research Award under which he collaborated with researchers in INRIA Grenoble Rhone-Alpes, France. He joined MFSDS&AI, IIT Guwahati in September 2021.
Dr. Konda Reddy Mopuri is currently an assistant professor at the Department of Artificial Intelligence, IIT Hyderabad. Before this he served on the faculty of IIT Guwahati and IIT Tirupati. He held a post-doctoral position at the School of Informatics, University of Edinburgh, UK. He received his PhD from Dept. of Computational and Data Sciences, IISc Bengaluru. His thesis won the IUPRAI Best doctoral dissertation award and the SPCOM Best doctoral dissertation award for 2018. He publishes his research in top-tier venues such as ICLR, ICML, CVPR, ECCV, WACV, BMVC, Trans. on PAMI, Tran. on Image processing, and Frontiers in Robotics and AI. His work lies broadly in Deep learning, AI, Computer Vision, Image/Signal processing, Data Science.

Dr. Santosh Kumar Vipparthi, a senior member of IEEE, has 12+ years of experience, including teaching and industry. Currently, he is an Assistant Professor at Indian Institute of Technology Ropar (IIT Ropar), India. Before this, he served at the Mehta Family School of Data Science and Artificial Intelligence, Indian Institute of Technology, Guwahati (IIT Guwahati) and Malaviya National Institute of Technology (MNIT), Jaipur (An Institute of National Importance and one of the top NITs fully funded by the Ministry of Education, Government of India). He received Ph.D. and MTech degrees with Honors in Systems Engineering from the Indian Institute of Technology Varanasi (IIT Varanasi), BHU, India, and a B.E. degree in Electrical and Electronics Engineering from Andhra University, Andhra Pradesh, India. Dr. Vipparthi's research in the area of computer vision, affective computing, deep learning, etc.