Nancy Kanwisher received her B.S. and Ph.D. from MIT, working with Professor Molly Potter. After a postdoc as a MacArthur Fellow in Peace and International Security, and a second postdoc in the lab of Anne Treisman at UC Berkeley, she held faculty positions at UCLA and then Harvard, before returning to MIT in 1997, where she is now an Investigator at the McGovern Institute for Brain Research, a faculty member in the Department of Brain & Cognitive Sciences, and a member of the Center for Minds, Brains, and Machines. Kanwisher uses brain imaging and other methods to discover the functional organization of the human brain as a window into the architecture of the mind. Kanwisher has received the Troland Award, the Golden Brain Award, the Carvalho-Heineken Prize, and a MacVicar Faculty Fellow teaching Award from MIT, and she is a member of the National Academy of Sciences and the American Academy of Arts and Sciences. You can view her short lectures about human cognitive neuroscience for lay audiences and newcomers to the field here: www.nancysbraintalks.mit.edu and her undergraduate course The Human Brain here: https://ocw.mit.edu/courses/brain-and-cognitive-sciences/9-13-the-human-brain-spring-2019/

Tomaso A. Poggio, is a physicist whose research has always been between brains and computers. It is now focused on the mathematics of deep learning and on the computational neuroscience of the visual cortext. He is the Eugene McDermott Professor in the Dept. of Brain & Cognitive Sciences at MIT and the director of the NSF Center for Brains, Minds and Machines at MIT. Among other awards he received the 2014 Swartz Prize for Theoretical and Computational Neuroscience and the IEEE 2017 Azriel Rosenfeld Lifetime Achievement Award. A former Corporate Fellow of Thinking Machines Corporation, a former director of PHZ Capital Partners, Inc. and of Mobileye, he was involved in starting, or investing in, several other high tech companies including Arris Pharmaceutical, nFX, Imagen, Digital Persona, Deep Mind and Orcam.

Susan Goldin-Meadow is the Beardsley Ruml Distinguished Service Professor in the Departments of Psychology and Comparative Human Development and the Committee on Education at the University of Chicago. She received her Ph.D. from the University of Pennsylvania, where she worked with Rochel Gelman and Lila Gleitman. Her research is two-pronged: (1) The home-made gestures that profoundly deaf children create when not exposed to sign language and (2) The gestures hearing speakers around the globe spontaneously produce when they talk. These co-speech gestures provide insight into how we talk and think.

Jinjung Xiong is a Professor in the Dept. of Electrical Engineering, working in the areas of cognitive computing, big data analytics, deep learning, smarter energy, application of cognitive computing for industrial solutions. He has a PhD in Electrical Engineering from University of California at Los Angeles in 2006.

Joscha Bach is a cognitive scientist and AI researcher. He obtained his PhD in Cognitive Science from the University of Osnabrück and worked as a lecturer and researcher at Humboldt University of Berlin, the MIT Media Lab and the Harvard Program for Evolutionary Dynamics, and Intel Labs. Joscha wrote the book "Principles of Synthetic Intelligence"; his main interest is treating Artificial Intelligence as the philosophical project of understanding the mind.

Saket Navlakha is an Associate Professor in the Simons Center for Quantitative Biology at Cold Spring Harbor Laboratory. He received an A.A. from Simon's Rock College in 2002, a B.S. from Cornell University in 2005, and a Ph.D. in computer science from the University of Maryland College Park in 2010. He was then a post-doc in the Machine Learning Department at Carnegie Mellon University before becoming an Assistant Professor at the Salk Institute for Biological Studies in 2014. His lab studies algorithms in nature, i.e., how collections of molecules, cells, and organisms process information and solve computational problems. In 2018, he was named a Pew Biomedical Scholar, and in 2019, he was awarded an NSF CAREER award.

Arjun Ramakrishnan is an assistant professor in Biological Sciences and Bioengineering and the Mehta Family Centre for Engineering in Medicine at the Indian Institute of Technology, Kanpur. He is also a DBT-Wellcome Trust India Alliance Intermediate Fellow (2021-26). He co-founded Cogwear in 2018, a neurotechnology startup that makes use of custom-made, flexible, dry nanowire-based sensors to gather EEG signals; these signals are used to train machine learning algorithms to measure and trend changes in anxiety. He recently co-founded Eywa Neuro in 2021, a startup that develops thin film polymer based probes for surface and deep brain recording and stimulation of brain activity. His primary research interest lies in understanding the neural mechanisms underlying reward-guided decision making in health and in disease, with a focus on mood disorders in human and nonhuman primate models. Arjun holds a PhD in Neuroscience from the National Brain Research Centre and a BE in Telecommunications from BMS College of Engineering. He trained as a postdoctoral fellow at Duke University and the University of Pennsylvania.

SP Arun started out as an electrical engineer, read too much science fiction for his own good, realized that robots today are nowhere close to our brain, and turned into a neuroscientist to understand why. He is fascinated by how the brain transforms sensation into perception, particularly for vision. His lab at the Centre for Neuroscience, Indian Institute of Science, studies how the brain solves vision by investigating perception and brain activity in humans, by investigating behavior and neural activity in monkeys and by comparing vision in brains and machine algorithms. For more details visit the homepage of his research group, the Vision Lab @ IISc. https://sites.google.com/site/visionlabiisc/

Richa Singh is a Professor at IIT Jodhpur, India, and an Adjunct Professor with IIIT-Delhi and West Virginia University, USA. She is a Fellow of IAPR and a Senior Member of IEEE and ACM. She was a recipient of the Kusum and Mohandas Pai Faculty Research Fellowship at the IIIT-Delhi, the FAST Award by the Department of Science and Technology, India. She works in the areas of computer vision, biometrics, and dependable AI.

V. Srinivasa Chakravarthy is a professor in the Department of Biotechnology, IIT Madras. He obtained his BTech from IIT Madras, MS /PhD from the University of Texas at Austin. His received postdoctoral training in the neuroscience department at Baylor College of Medicine, Houston. The Computational Neuroscience Lab (CNS Lab) that he heads works on developing models of the neural oscillations, basal ganglia, spatial navigation, stroke rehabilitation and neurovascular coupling. He is the author of two books in neuroscience. He is the inventor of a novel script called Bharati, a unified script for Indian languages.

Dipanjan Roy is affiliated with the Centre for Brain Science and Applications, School of Artificial Intelligence and Data Science Indian Institute of Technology, Jodhpur. He is leading a Cognitive Brain Dynamics and Connectivity Lab at IIT Jodhpur and National Brain Research Centre Manesar working on various research aspects related to Cognitive Neuroscience and Neuroimaging, Multi-scale computational modeling, EEG, and Behaviour. The specific areas in which the group contributes computational models and methods pertained to learning and memory, Perception, Attention, Aging, and Multi-sensory processing. His group has made seminal contributions to brain connectivity and network dynamics in aging, multisensory speech processing, perceptions, and memory. Currently, his group is using Deep machine learning-based algorithms to determine aging effects on cognition, neurodegenerative disorders, and reorganization of neurocognitive brain networks during typical and atypical neurodevelopment. Another area where his group predominantly worked is by measuring functional brain dynamics and their relationship with underlying structural perturbations and lesions in patients and investigating mechanisms of reorganization of functional connectivity using Computational Modelling and non-invasive probes. His lab has made several key contributions to understanding the computational role of time delay, time-scale separation, structure-function relationship, and neural plasticity that unfolds in a dynamical landscape in the brain. His research combines developing methods to analyze EEG, MEG, and fMRI recordings at rest, task conditions, and whole-brain computational modelling. Research methods also cover the acquisition of behavioural responses under naturalistic, psychophysical stimuli from participants and investigating neural correlates of behaviour.

Dr Tapan K Gandhi is currently working as Associate Professor in the Dept. of Electrical Engineering, Cadence Chair Professor of AI and Automation, Joint Faculty in School of AI, IIT Delhi and adjunct faculty in the school of AI and data science, IIT Jodhpur. He is also research affiliate to MIT, USA. He received his Ph.D. fellowship from (MIT, USA) and obtained his Ph.D. in Biomedical Engineering from IIT Delhi. Following his Ph.D., he has spent couple of years as postdoctoral research scientist at MIT, USA. Dr Gandhi was also awarded an INSPIRE Faculty in the engineering & technology category of the Department of Science & Technology, Govt. of India. During this 5 years tenure, he is awarded as the excellent INSPIRE Faculty by DST, Govt. of India. His research expertise spans from Computational Neuroscience, Brain imaging, Assistive Technology, Bio-medical Instrumentation, machine learning, Cognitive Computing to Artificial intelligence. He has four patents and three technologies transfer to Ministry of Social Justice, Govt. of India. He is serving as expert member (Task Force) in  various research committees in Govt. of India, UNESCO as well as reviewers in many journals like IEEE, Elsevier, and Springer etc. He has also received Platinum Jubilee YOUNG SCIENTIST award 2015 by National Academy of Science in INDIA and GYTI 2019 Award. He is elected Fellow of National Academy of Engineering (FNAE). Presently he is the Chairperson of Project Prakash charitable Trust, that helps in Restoration of Vision and providing education to visually impairds in India.

Venkat Ramaswamy is an Assistant Professor at BITS Hyderabad. He completed his Ph.D. from the University of Florida, following which he served as a postdoc at the Hebrew University, Jerusalem, Israel. After this he was an independent Simons Fellow at the National Centre for Biological Sciences - Tata Institute of Fundamental Research in Bangalore, following which he has been at BITS. Venkat;s research is in Theoretical & Computational Neuroscience and more recently in building a theoretical understanding of the principles that govern Deep Learning.

Amit Bhardwaj received his B.Tech degree in Electronics and Communication Engineering (ECE) in 2009 from YMCAIE Faridabad, Haryana, India, and master of engineering (M.E) degree in ECE in 2011 from Delhi College of Engineering, Delhi, India. He did his PhD degree from the department of Electrical Engineering at IIT Bombay in June 2016. From June 2016 - January 2017, he was a research associate at IIT Bombay, Mumbai. From February 2017- December 2017, he was an Alexander von Humboldt postdoctoral fellow at the Chair of Media Technology, Technical University of Munich, Germany. After that, he joined the Pohang University of Science and Technology (POSTECH), South Korea as a postdoctoral researcher. In September 2019, he joined the department of Electrical Engineering, IIT Jodhpur as an assistant professor. He is a co-author of the book Kinesthetic Perception - A Machine Learning Approach, published by Springer. His research interests include haptic modeling and rendering, haptic perception, haptic data communication, signal processing, and applications of machine learning.

"Dip Sankar Banerjee is an assistant professor in the department of computer science and engineering where he is working from 2020. Earlier he was a faculty member at the Indian Institute of Information Technology Guwahati prior to which he was a PostDoc at The Ohio State University. He completed his PhD in computer science from the International Institute of Information Technology Hyderabad in the year 2014. His research interests are broadly in the area of computing systems with specific focus on high performance computing, computer architectures, and data analysis. He has worked in the program committees of reputed conferences such as IEEE IPDPS, and IEEE HiPC and as reviewers of journals such as TPDS, JPDC, and TOPC. "

"Chhanda Chakraborti is an active thinker, author, and a professor of Philosophy. Her Ph.D. is from University of Utah, USA. Her M.A. degree in Philosophy is from University of Washington, Seattle, USA, and a second M.A in Philosophy is from Jadavpur University, India. She served as a Professor of Philosophy at Department of HSS, IIT Kharagpur, India, and has visited several universities abroad for academic and professional purpose. After retirement from IIT Kharagpur, she has joined School of Liberal Arts, IIT Jodhpur. Her current active research areas are Public Health Ethics and Ethics of Artificial Intelligence. For years, she has served as a nominated key member in the Institute Ethics Committee for Research involving Human Subjects at IIT Kharagpur. She has also served as a nominated member of the Editorial Advisory Body of Indian Journal of Medical Ethics. She organized several international and national conferences, workshops, and seminars, including an International Symposium on Infectious and Communicable Diseases and the Global Spread: Bioethical Issues and Concerns at the 10th World Bioethics Congress in Singapore on July 28–31, 2010. She has also organized many training programs, including programs on ‘Professional Ethics’. Recipient of many awards and fellowships, she has over 30 years of experience in research guidance, multidisciplinary research collaboration, and curriculum development. In two of her most recent sponsored projects, she will investigate the ethical issues with the technologically manipulated information, such as Deep Fake, and with Digital Twins such as Digital Twins of heritage objects. With a long history of research experience and a varied range of research interests, she is still willing to learn and do more. "

Rohan Paul is an Assistant Professor at the Department of Computer Science & Engineering with Joint Appt. in the School of AI at Indian Institute of Technology Delhi, India. His research is in Robotics, Artificial Intelligence and Assistive Technologies. He obtained his B. Tech. and M.Tech. degrees at the IIT Delhi, D. Phil. at Oxford University and served as a Postdoctoral Associate at the Computer Science and AI Laboratory at the the Massachusetts Institute of Technology. He has received research grants from DRDO, DST and ICMR and was named one of “35 Global Innovators Under 35” by MIT Technology Review in 2016.

Professor Santanu Chaudhury, Professor, Department of Electrical Engineering, IIT Delhi, has assumed charge as Director, IIT Jodhpur, on 10 December 2018. Professor Chaudhury holds B.Tech. (Electronics and Electrical Communication Engineering) and Ph.D. (Computer Science & Engineering) Degrees from IIT Kharagpur. Professor Chaudhury joined as Faculty Member in the Department of Electrical Engineering, IIT Delhi, in 1992. He was Dean, Under-Graduate Studies at IIT Delhi. He has served as Director of CSIR-CEERI, Pilani, during 2016-18. Professor Chaudhury is a recipient of the Distinguished Alumnus award from IIT Kharagpur.

Subbarao Kambhampati is a professor of computer science at Arizona State University. Kambhampati studies fundamental problems in planning and decision making, motivated in particular by the challenges of human-aware AI systems. He is a fellow of Association for the Advancement of Artificial Intelligence, American Association for the Advancement of Science, and Association for Computing machinery, and was an NSF Young Investigator. He served as the president of the Association for the Advancement of Artificial Intelligence, a trustee of the International Joint Conference on Artificial Intelligence, the chair of AAAS Section T (Information, Communication and Computation), and a founding board member of Partnership on AI. Kambhampati’s research as well as his views on the progress and societal impacts of AI have been featured in multiple national and international media outlets. He can be followed on Twitter @rao2z.