Sharad Sharma co-founded iSPIRT Foundation, a non-profit technology think tank that has conceptualized India Stack, Health Stack and other digital public goods. Sharad also co-founded Teltier Technologies, a wireless infrastructure startup now part of CISCO

Srinivasa Narasimhan is a Professor of the Robotics Institute at Carnegie Mellon University. He served as Interim Director of the RI from Aug 2019 to Dec 2021. He obtained his PhD from Columbia University. His group focuses on novel techniques for imaging and illumination to enable applications in vision, graphics, robotics, agriculture, intelligent transportation and medical imaging. His works have received more than a dozen Best Paper or Best Demo or Honorable mention awards at major conferences. In addition, he has received the Ford URP, Okawa Research and the NSF CAREER Awards. He is the co-inventor of several technologies including programmable headlights, Aqualux 3D display, Assorted-pixels, Motion-aware cameras, Episcan360, Episcan3D, EpiToF3D, and programmable triangulation light curtains. He serves on the editorial board of the International Journal of Computer Vision and serves frequently as an Area Chair of top computer vision conferences (CVPR, ICCV, ECCV, BMVC, ACCV, 3DV).

Dr. Natarajan Shankar is the author of the book, Metamathematics, Machines, and Godel’s Proof, co-developer of a number of technologies including the PVS interactive proof assistant, the SAL model checker, and the Yices SMT solver. He is a co-recipient of the 2012 CAV Award and the recipient of the 2022 Herbrand Award.

Karthik Desingh will be joining the Department of Computer Science and Engineering at the University of Minnesota as an Assistant Professor in the Fall of 2022. Karthik recently completed his Postdoctoral position at the University of Washington (UW), where he worked with Professor Dieter Fox. Before joining UW, he received his Ph.D. in Computer Science and Engineering from the University of Michigan, working with Professor Chad Jenkins. During his Ph.D., he was closely associated with the Robotics Institute and Michigan AI. He earned his B.E. in Electronics and Communication Engineering at Osmania University, India, and M.S. in Computer Science at IIIT-Hyderabad and Brown University. He researches at the intersection of robotics, computer vision, and machine learning, primarily focusing on providing perceptual capabilities to robots using deep learning and probabilistic techniques to perform tasks in unstructured environments. His work has been recognized with the best workshop paper award at RSS 2019 and nominated as a finalist for the best systems paper award at CoRL 2021. He is serving as an Associate Editor for IROS 2022

Dr. Sourav Garg is co-leading the Perception and Localization research theme at the QUT Centre for Robotics (QCR) as a Postdoctoral Research Fellow. He received his PhD from Queensland University of Technology (QUT) in 2019 while being a part of the Australian Centre for Robotic Vision (ACRV). Sourav pioneered research in the twin challenge of visual place recognition for mobile robot localization that requires dealing with scene appearance and camera viewpoint simultaneously. His research spans several aspects of robotic vision including semantics, sequences, hashing, adverse conditions, representation learning and centimeter-precise localization. His thesis received Executive Dean’s Commendation for Outstanding Thesis Award and his research published in Robotics: Science & Systems (RSS) and International Journal of Robotics Research (IJRR) won the SAGE QUT Student Publication Prize. He has published research at various top-tier international conferences and journals across both robotics and computer vision. He has also delivered invited talks at notable venues. Sourav has extensive academic research collaborations worldwide and has worked with both industry and government. His research has also been covered by numerous social media platforms including Brisbane Times, Engineers Australia Create Magazine, and Tech Xplore.

Dr Soumen Chakrabarti, currently a professor at IIT Bombay, obtained his Ph.D from University of California, Berkeley and went on to workP IBM Almaden Research Center, Camegie-Mellon University and Google. He has published extensively and his work on keyword search in databases received the 70-year influential paper award at ICDE .2012. He is the author of one of the earliest books on Web search and mining. Prof. Chakrabadi received several awards including the prestigious Shanti Swarup Bhatnagar Prize in 2014. He is a fellow of Indian National Academy of Engineering, Indian Academy of Sciences, Indian National Science Academy and a distinguished alumni of IIT Kharagpur

Petri Toiviainen is a professor at the University of Jyväskylä whose research interests are in the areas of music research, psychology, computational data analysis and systemic and cognitive neuroscience. Professor Toiviainen is Director of the Academy of Finland’s Centre of Excellence in Interdisciplinary Music Research. He is an internationally recognized scholar in the field of systematic musicology, specializing in the modelling of music cognition and computational methods of music analysis. His research is applied in the context of music therapy, music education and in the playing of music. He has published several articles and given a number of keynote talks on these topics, and is an editorial board member of a number of journals. He is also a co-author of several widely used software tools for music analysis, including the MIDI Toolbox, the MIRToolbox, and the Motion Capture Toolbox.

Prof. Amit Sheth is an educator, researcher, and entrepreneur. Prior to his joining the University of South Carolina as the founding director of the university-wide AI Institute, he was the LexisNexis Ohio Eminent Scholar and executive director of Ohio Center of Excellence in Knowledge-enabled Computing. He is a Fellow of IEEE, AAAI, and AAAS. He is among the highly cited computer scientists worldwide (h-index 104, >44,000 citations, listed among the top 100 in the world in 2018). He has founded three companies by licensing his university research outcomes, including the first Semantic Web company in 1999 that pioneered technology similar to what is found today in Google Semantic Search and Knowledge Graph.

Prof. Martin Banks teaches and conducts research in optometry and vision sciences at the University of California, Berkeley since 1985. His research focuses on human visual development and visual space perception and publications (over a 100) cover understanding infants visual perception, multi-modal sensory information processing and recently on evaluation of virtual display and augmented reality.

Prof. Raghu Santanam is McCord Endowed Chair of Business, W. P. Carey School of Business, Arizona State University. His research interests are in Business Process Change, Health IT (EMR and PHR), Consumer Information Systems and Information Economics.

Dr. Klein is an internationally recognized expert on human attention and its relation to eye movements. His standing in the field was recognized by the Canadian Society for Brain, Behavior and Cognitive Science with the 2008 Donald O. Hebb Distinguished Contribution Award and his induction into the Royal Society of Canada.

Prof. Takayuki Arai obtained his Ph.D. degrees in Electrical Engineering from Sophia University, Tokyo in 1994. Prior to joining Sophia University he had worked in several places like Oregon Graduate Institute of Science and Technology, Portland; International Computer Science Institute, Berkeley and the Massachusetts Institute of Technology, Cambridge.His research interests include signal processing, acoustics, speech and hearing sciences, spoken language processing, and acoustic phonetics.

Sandeep Gupta helps develop and drive the roadmap for TensorFlow (Google’s open-source library and framework for machine learning) for supporting machine learning applications and research. His current focus is on TensorFlow’s 2.0 release, improving TensorFlow’s usability and driving adoption in the community and enterprise, and on TensorFlow.js – a library bringing Machine Learning to JavaScript developers.

Dr. Richard Socher is a well-known researcher, developer of Salesforce Einstein and a propagator of democratizing Salesforce AI for customers. He obtained his Ph.D. from Stanford working on deep learning with Chris Manning and Andrew Ng and won the best Stanford CS Ph.D. thesis award. He was an adjunct professor at Stanford’s computer science department and founder and CEO/CTO of MetaMind which was acquired by Salesforce.

Manoj Saxena is the Chairman of Cognitive Scale and a founding General Partner of The Entrepreneur’s Fund IV, overseeing investment and growth in the Cognitive and Cloud Computing space. He is a Special Advisor to IBM senior leadership where he focuses on operationalizing IBM’s $100m Watson Cloud Ecosystem Fund. He received the IBM Chairman’s award for Watson commercialization. He is a serial entrepreneur. Prior to IBM, he successfully founded, scaled, and sold two venture‐backed software companies Webify and Exterprise within a five year span.He holds two U.S. patents for web services technologies and 9 software patents. He currently serves on several boards including the Federal Reserve Bank of Dallas, San Antonio Branch, Communities In Schools, and the Saxena Family Foundation.

Andrew Zisserman is one of the principal architects of modern computer vision. He is best known for his leading role during the 1990s in establishing the computational theory of multiple view reconstruction and the development of practical algorithms that are widely in use today. He is the only person to have been awarded the Marr Prize three times.

P. Anandan has recently joined the newly formed Wadhwani Institute of Artificial Intelligence as its CEO. Previous to this Anandan was VP for Research at the Adobe Research Lab India (2016-2017) and before that a Distinguished Scientist and Managing Director at Microsoft Research (1997-2016).Anandan was the founding director of Microsoft Research India which he ran from 2005-2014. Prior to this, Anandan was researcher at Sarnoff corporation (1991-1997) and an Assistant Professor of Computer Science at Yale University (1987-1991). His primary research area is Computer vision where he is well known for his fundamental and lasting contributions to the problem of visual motion analysis.

Anandan received his PhD in Computer Science from University of Massachusetts, Amherst in 1987, a Masters in Computer Science from University of Nebraska, Lincoln in 1979 and his BTech in Electrical Engineering from IIT Madras, India in 1977. He is a distinguished alumnus of IIT Madras, and UMass, Amherst and is on the Nebraska Hall of Computing.

Jim Foley is a Professor in the College of Computing at Georgia Tech. He is a member of the United States National Academy of Engineering, and a Fellow of AAAS, ACM and IEEE. He has received two lifetime achievement awards, one in computer graphics (the Coons award) from ACM/SIGGRAPH and another in human-computer interaction from ACM/SIGCHI.

Foley is co-author of five books: Fundamentals of Interactive Computer Graphics, Three editions of Computer Graphics Principles and Practice, and Introduction to Computer Graphics.

He joined Georgia Tech in 1991 as the founding director of the Graphics, Visualization and Usability Center. In 1996, US News and World Report ranked the Center number one for graduate computer science work in graphics and user interaction. From 1996-99, he was first Director of MERL - Mitsubishi Electric Research Laboratory and them CEO and Chairman of Mitsubishi Electric Information Technology Center America, responsible for Mitsubishi's corporate R&D in North America.

After returning to Georgia Tech, he was chairman (2001-2005) of the Computing Research Association - an organization of over 250 computer science and computer engineering departments, professional societies and research labs. From 2008 to 2011 he served as Vice President of ACM’s Special Interest Group for Graphics (SIGGRAPH).

Jitendra Malik is Arthur J. Chick Professor of Electrical Engineering and Computer Science at UC Berkeley. Over the past 30 years, Prof. Malik's research group has worked on many different topics in computer vision. Several well-known concepts and algorithms arose in this research, such as anisotropic diffusion, normalized cuts, high dynamic range imaging, shape contexts and R-CNN. Prof. Malik received the Distinguished Researcher in Computer Vision Award from IEEE PAMI-TC, the K.S. Fu Prize from the International Association of Pattern Recognition, and the Allen Newell award from ACM and AAAI. He has been elected to the National Academy of Sciences, the National Academy of Engineering and the American Academy of Arts and Sciences. He earned a B.Tech in Electrical Engineering from Indian Institute of Technology, Kanpur in 1980 and a PhD in Computer Science from Stanford University in 1985.

University Professor and Allan Newell Professor of Computer Science Jaime G. Carbonell joined the Carnegie Mellon community as an assistant professor of computer science in 1979, and has gone on to become a widely recognized authority in machine translation, natural language processing and machine learning. Carbonell has invented a number of well-known algorithms and methods during his career, including proactive machine learning and maximal marginal relevance for information retrieval. His research has resulted in or contributed to a number of commercial enterprises, including Carnegie Speech, Carnegie Group and Dynamix Technologies.

In addition to his work on machine learning and translation, Carbonell also investigates computational proteomics and biolinguistics — fields that take computational tools used for analyzing language and adapt them to understanding biological information encoded in protein structures. This process leads to increased knowledge of protein-protein interactions and molecular signaling processes.

Carbonell's career has had an enormous impact on both Carnegie Mellon and the School of Computer Science. He created the university's Ph.D. program in language technologies, and is co-creator of the Universal Library and its Million Book Project. He founded CMU's Center for Machine Translation in 1986 and led its transformation in 1996 into the Language Technologies Institute, which he currently directs. He has advised more than 40 Ph.D. students and authored more than 300 research papers.

Before joining the Carnegie Mellon faculty, Carbonell earned bachelor's degrees in mathematics and physics at the Massachusetts Institute of Technology, and his master's degree and Ph.D. in computer science at Yale University.

Dr. P. Anandan is responsible for developing research strategy for Adobe, especially in the Artificial Intelligence and Machine Learning as applied to Digital Marketing and for leading the Adobe India Research lab.

Prior to Adobe, Dr. Anandan was a Distinguished Scientist and Managing Director of Microsoft Research Outreach. Previously, he was Distinguished Scientist and Managing Director at Microsoft Research India, which he founded in December 2004 in Bangaluru. He joined Microsoft Research in Redmond, Washington in 1997, where he founded and built the Interactive Visual Media group. Before joining Microsoft, Dr. Anandan was the Head of Video Information Processing research at Sarnoff Corporation from 1991-1997. He was an Assistant Professor of Computer Science at Yale University from 1987-1991.

Dr. Anandan holds an undergraduate degree in electrical engineering from the Indian Institute of Technology Madras, a Master of Science in Computer Science from the University of Nebraska, Lincoln, and a Ph.D. in Computer Science from the University of Massachusetts, Amherst. He is a Distinguished Alumnus of the University of Massachusetts as well as of IIT Madras, and has been inducted to the Nebraska Hall of Computing. During a research career spanning over three decades, Dr. Anandan has also done pioneering research in Computer Vision, specifically in the area of Visual Motion Analysis and Optical Flow Estimation.

Dr. Jaideep Ganguly is Director of Software Development, Seller Experience Technology in Amazon and is based in Hyderabad. He has software development teams located at Hyderabad, New Delhi and Detroit that report into him. At Amazon, Dr. Jaideep’s team is responsible for building massively scalable and highly reliable software robots that power automation and dialog systems. He has over 25 years of experience in leading large scale software development. Dr. Jaideep holds the degrees of Doctor of Science and Master of Science, both from MIT and an undergraduate degree from IIT - Kharagpur.

Manuela M Veloso is Herbert A Simon University Professor and the Head of the Machine Learning Department, in the School of Computer Science at Carnegie Mellon University. She researches in Artificial Intelligence and Robotics. She founded and directs the CORAL research laboratory, for the study of autonomous agents that Collaborate, Observe, Reason, Act, and Learn, www.cs.cmu.edu/~coral. Professor Veloso is IEEE Fellow, AAAS Fellow, AAAI Fellow, and the past President of AAAI and RoboCup. Professor Veloso and her students have worked with a variety of autonomous robots, including mobile service robots and soccer robots. See www.cs.cmu.edu/~mmv for more.

Prof Veloso is a member of the Advisory Board of KCIS.