Computer Vision, Pattern Recognition, Image Processing, and Graphics: Proceedings of the 8th National Conference, NCVPRIPG 2023

Professor Santanu Chaudhury is an esteemed academician and researcher known for his significant contributions to Electrical Engineering, Computer Science, and Engineering Education. He currently serves as the Director of the Indian Institute of Technology Jodhpur (IITJ) and is a professor in the Department of Computer Science and Engineering at IITJ. With a rich academic background, Professor Chaudhury earned his B.Tech. in Electronics and Electrical Communication Engineering, followed by a Ph.D. in Computer Science and Engineering from IIT Kharagpur. His academic journey commenced in 1992 when he joined the Department of Electrical Engineering, IIT Delhi faculty. Over the years, he has demonstrated exceptional leadership, serving as the Dean of Undergraduate Studies at IIT Delhi and later as the Director of CSIR-CEERI, Pilani, from 2016 to 2018. Professor Chaudhury's expertise and scholarly contributions have been widely recognized. He is a recipient of the Distinguished Alumnus Award from IIT Kharagpur. He has been honored as a Fellow by esteemed organizations such as the Indian National Academy of Engineers (INAE), the National Academy of Sciences (NAS), and the International Association of Pattern Recognition (IAPR). In recognition of his early research endeavors, he was awarded the INSA Medal for Young Scientists in 1993 and later received the ACCS-CDAC award for his research contributions in 2012. His extensive research profile boasts approximately 300 publications in peer-reviewed journals and conference proceedings, 15 patents, and the authorship/editing of 4 books.

Prof. Anoop M. Namboodiri is a professor at the International Institute of Information Technology, Hyderabad, India. He is associated with the Centre for Visual Information Technology and heads the Biometrics and Secure Identity Lab. He holds a BTech and PhD in Computer Science and Engineering. His research interests include Biometrics, Machine Learning, Computational Imaging, and Computer Vision. He also serves as the Chief Science Officer of DreamVu Inc.

Dr Dinesh Babu is currently an Associate Professor at IIIT Bangalore, where he heads the Multimodal Perception Lab. His research interests are Audio-Visual Signal Processing, Machine Learning, and Social Computing. He obtained his doctorate from Ecole Polytechnic Federale Lausanne (EPFL), Switzerland, beginning of 2011. He received the National Teachers Award in 2023. He received the Outstanding Paper Award at the International Conference on Multimodal Interaction (ICMI) in 2012 and the Idiap Best PhD student Research Award in 2009. More recently, his PhD student's work was nominated for Best Student Paper in ICMI 2016 Tokyo. He received the Department of Science and Technology (DST) Young Scientist Start-up Grant 2016. He has successfully collaborated and executed sponsored research projects with CAIR, DRDO (Defence Research and Development Organization), and NI Systems. He was a visiting professor at the University of Lausanne in the summer of 2019 and the University of Oulu in the summer of 2023.

Dr. Neelam Sinha is an associate professor at the Centre for Brain Research at IISc Bangalore. Dr. Sinha’s interests lie in applying machine learning techniques for multi-modal neuroimaging. She obtained PhD at IISc for her work on strategies for rapid MR imaging in 2008. She worked in the MR Imaging group at GE Healthcare for a year and then joined IIIT-Bangalore. At IIIT-Bangalore, her research focused on healthcare problems, including surgical video, fundal images, and neuro-data analysis. She executed a DST-funded project on resting-state fMRI for brain characterization. She has worked on problems such as age estimation using Diffusion MR, analysis of atypical PD variants, and chromosomal mutation detection in Low-Grade Glioma using structural MR images in collaboration with NIMHANS. As part of an industry-sponsored project, she has worked on visual functioning networks in the brain, utilizing fMRI time series. She was part of a state-funded center (MINRO) with projects on EEG analysis for quantifying abstract notions, such as creativity.

Dr. Anand Mishra serves as an Assistant Professor at the Department of Computer Science and Engineering and an affiliate faculty member at the School of AI and Data Science at IIT Jodhpur. He leads the Vision, Language, and Learning Group (VL2G) at IIT Jodhpur, which focuses on problems intersecting vision and language. Previously, Anand had the opportunity to work at the Indian Institute of Science, focusing on Knowledge-aware Computer Vision. Anand’s doctoral work is on understanding text in scene images, and he received the Microsoft Research India Ph.D. fellowship. Recently, Anand has been recognized as an outstanding reviewer at ICCV 2021 and CVPR 2023.

Dr. Rajendra Nagar is an Assistant Professor in the Department of Electrical Engineering at the Indian Institute of Technology Jodhpur, India. He received his B.Tech. degree from Indian Institute of Technology Jodhpur in 2013. He received his Ph.D. degree in Electrical Engineering from the Indian Institute of Technology Gandhinagar. He was awarded a gold medal for the best academic performance in B.Tech. Electrical Engineering at IIT Jodhpur, 2013. He was awarded the NCC 2019 Best PhD thesis award. His research interests include 3D Computer Vision, Digital Geometry Processing, and Deep Learning. Dr. Rajendra Nagar is an assistant professor at IIT Jodhpur. Before joining IIT Jodhpur, he was an Assistant Research Professor in Electrical Engineering at the Indian Institute of Technology Gandhinagar from 24 Dec. 2018 to 19 July 2019. He completed his Ph.D. in Electrical Engineering under the supervision of Dr. Shanmuganathan Raman at the Indian Institute of Technology Gandhinagar. Before joining the Ph.D. program, Dr. Nagar was a system engineer at TCS Innovation Lab, Gurgaon, for nearly one year. He completed his B. Tech. in Electrical Engineering from the Indian Institute of Technology Jodhpur.