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Dr. Subrata Rakshit, Director CAIR
Dr Subrata Rakshit, OS/ Sc ‘H’ has been appointed as Director, Centre for Artificial Intelligence & Robotics (CAIR) on 06th July 2021. Prior to this he was Associate Director (Technology), CAIR.
Dr Subrata Rakshit did his B. Tech from IIT Bombay in Engineering Physics in 1988. He completed his MS in Electrical Engineering in 1989, PhD in Image Processing from Caltech, USA in Jan 1994 and a short postdoctoral fellowship at Washington University, Medical School, St. Louis USA. He joined CAIR, DRDO in Dec 1994 where he has worked till current date. At CAIR DRDO, Dr Rakshit has worked on Image Processing, Computer Vision, Neural Networks and Cyber Security. He has published a number of papers in peer reviewed journals, international and national conferences.
From 2000 to 2012 he headed the Computer Vision Group and worked on multisensory data fusion and net-centric warfare, participating in various CAIR activities related to Army’s TAC C3I development projects. Dr Rakshit has received DRDO award for his work on Neural Network based image matching in 1997 and for Image and Video Processing for net-centric systems in 2012. From Jan 2013 to Aug 2017 he had been with the Secure Systems Division of CAIR, initially as Division Head and then as Technical Mentor. He guided design and development in the areas of Cyber Security and he has also contributed to information security policy formulation. As Associate Director (Technology) from 2017 – 2021, he has guided the CAIR project teams, actively steered various design reviews and represented CAIR in external DRDO and GoI committees. He has contributed to the RM’s AI Task Force report and has interacted with various MoD organisations regarding adoption of AI technologies in indigenous defence systems.
Prof. Chiranjib Bhattacharyya, IISc
Prof. Chiranjib Bhattacharyya is currently Professor and the chair of the Department of Computer Science and Automation, Indian Institute of Science. His research interests are in foundations of Machine Learning, Optimisation and their applications to Industrial problems.
He has authored numerous papers in leading journals and conferences in Machine Learning. Some of his results have won best paper awards.
He joined the Department of CSA, IISc, in 2002 as an Assistant Professor. Prior to joining the Department he was a postdoctoral fellow at UC Berkeley. He holds BE and ME degrees, both in Electrical Engineering, from Jadavpur University and the Indian Institute of Science, respectively, and completed his PhD from the Department of Computer Science and Automation, Indian Institute of Science.
He is also a fellow of Indian Academy of Engineering.
His expertise includes Machine Learning, Convex Optimisation and Autonomous Systems.
Prof. Parimal Parag, IISc
Parimal Parag is currently an associate professor in department of electrical communication engineering at Indian Institute of Science at Bangalore. He is also a co-convenor of the centre for networked intelligence, a faculty participant at Robert Bosch centre for cyber-physical systems, and a member of the applied probability research group. He was working as senior systems engineer in R&D at ASSIA Inc. from October 2011 to November 2014. He received his B. Tech. and M. Tech. degrees from Indian Institute of Technology Madras in fall 2004; and the PhD degree from Texas A&M University in fall 2011. He was at Stanford University and Los Alamos National Laboratory, in autumn of 2010 and summer of 2007, respectively.
He conducts research in network theory, applied probability, optimization methods, and in their applications to distributed systems. His previous work includes performance evaluation, monitoring, and control of large broadband communication systems and networks. His other research interests lie in the areas of game theory, statistical signal processing, queueing theory, information theory, estimation & detection theory, combinatorics, and probability theory.
Prof. Aditya Gopalan IISc
Prof. Aditya Gopalan is an Associate Professor at the Indian Institute of Science, in the Dept. of Electrical Communication Engineering. He is an associate faculty of the Robert Bosch Centre for Cyber Physical Systems. He received the Ph.D. degree in electrical engineering from The University of Texas at Austin, and followed it up with a postdoc at the Technion-Israel Institute of Technology. His research interests lie in algorithms for automation, with a focus on online and reinforcement learning, optimization and control.
Prof. Vivek Borkar, IITB
Prof. Vivek Borkar received the BTech degree in electrical engineering from IIT Bombay, in 1976, the MS degree in systems and control from Case Western Reserve University, in 1977, and the PhD degree in electrical engineering and computer science from the University of California at Berkeley, in 1980. He has held positions at the TIFR Center for Applicable Mathematics and the Indian Institute of Science in Bengaluru, and Tata Institute of Fundamental Research, Mumbai, before joining IIT Bombay, Mumbai, as institute chair professor of electrical engineering in Aug. 2011. He has held visiting positions with the University of Twente, MIT, the University of Maryland at College Park, and the University of California at Berkeley. He is a fellow of the IEEE, American Math. Society, TWAS, and the science and engineering academies in India. His research interests include stochastic optimization and control, covering theory, algorithms, and applications.
Prof. Rajesh Sundaresan, IISc
Prof. Rajesh Sundaresan is currently a Professor in the Department of Electrical Communication Engineering (ECE) at the Indian Institute of Science (IISc), Bangalore.
Before joining as Professor in Indian Institute of Science, Rajesh worked as Visiting Faculty, in Toulouse Mathematics Institute , Universite Paul Sabatier October 2015, as Visiting Scholar, Coordinated Science Laboratory , University of Illinois at Urbana-Champaign, August 2012 – July 2013, Visiting Faculty, Summer of 2007 and Senior Staff Engineer / Manager, 2005 at Qualcomm Inc., Currently he is the Dean of the Division of EECS (Electrical, Electronics, and Computer Sciences) since August 2021.
Prof. Rajesh did his Ph.D., (1999) and M.A. (1996), in Electrical Engineering, from Princeton University. He got his B.Tech., (1994) in Electronics, from Indian Institute of Technology, Madras.
Prof. Rajesh’s research interests are in the area of Communication, computation, and control over networks, decentralised algorithms over graphs and networks, network analytics, information geometry.
Prof. Shalabh Bhatnagar, IISc
Shalabh Bhatnagar finished his PhD in Electrical Engineering from IISc in 1997. He was a Research Associate at the Institute for Systems Research, University of Maryland, College Park, USA, during 1997 to 2000 and at the Free University, Amsterdam, Netherlands, during 2000 to 2001. From December 2001, he is a faculty member in the Department of Computer Science and Automation, IISc, where he is a Professor since 2011.
His research interests are in stochastic approximation algorithms, stochastic optimization, stochastic control, reinforcement learning, and he also looks at applications in communication / wireless / vehicular traffic networks, autonomous systems, as well as performance optimization in smart grids etc. He is the principal author of a book on stochastic optimization using random perturbation methods and has authored or co-authored more than 200 papers in reputed journals and conferences.
He is an Associate Editor of the Systems and Control Letters as well as the IEEE Control Systems Letters journals, and a past Associate Editor of the IEEE Transactions on Automation Science and Engineering. He has received several awards and distinctions including the ACCS-CDAC Foundation Award, Rajib Goyal Young Scientist Prize, Prof. Rustom Choksi Award for Research Excellence in Engineering, IISc, Dr. Rajkumar Varshney Award for Lifetime Contributions to Systems Theory, Systems Society of India, and Prof. Satish Dhawan Young Engineer Award, Government of Karnakata.
He is a Fellow of the Indian National Science Academy, the Indian Academy of Science, the National Academy of Sciences, India, and the Indian National Academy of Engineering. From February 2020, he is a J.C.Bose National Fellow.
Prof. Gugan Thoppe, IISc
Gugan Thoppe is an Asst. Professor at the Dept. of Computer Science and Automation, Indian Institute of Science . He has done two postdocs: one at Duke University, USA with Prof. Sayan Mukherjee, and the other at Technion, Israel, with Prof. Robert Adler. He has done his PhD and MS with Prof. Vivek Borkar at TIFR, India. His PhD work won the TAA-Sasken best thesis award for 2017. He is also a two-time recipient of the IBM PhD fellowship award (2013–14 and 2014-15). His research interests include stochastic approximation and random topology and their applications to reinforcement learning and data analysis, respectively.
Prof. Sriram Ganapathy, IISc
Prof. Sriram Ganapathy is a faculty member at the Electrical Engineering, Indian Institute of Science, Bangalore, where he heads the activities of the learning and extraction of acoustic patterns (LEAP) lab. Prior to joining the Indian Institute of Science, he was a research staff member at the IBM Watson Research Center, Yorktown Heights, USA. He received his Doctor of Philosophy from the Center for Language and Speech Processing, Johns Hopkins University. He obtained his Bachelor of Technology from College of Engineering, Trivandrum, India and Master of Engineering from the Indian Institute of Science, Bangalore. He has also worked as a Research Assistant in Idiap Research Institute, Switzerland.
At the LEAP lab, his research interests include signal processing, digital health, machine learning methodologies for speech analytics and auditory neuroscience. He is a subject editor for the Speech Communications journal, member of ISCA and a senior member of IEEE. He is the recipient of young scientist awards from Department of Science and Technology (DST), India, Department of Atomic Energy (DAE), India and the Pratiksha Trust, Indian Institute of Science, Bangalore. Over the past 10 years, he has published more than 100 peer-reviewed journals/conference publications in the areas of deep learning, and speech/audio processing.
Prof. Balaraman Ravindran, IITM
Balaraman Ravindran is the Mindtree Faculty Fellow and a professor at the Department of Computer Science and Engineering, and he head the Robert Bosch Centre for Data Science and AI at the Indian Institute of Technology Madras. He completed his Ph.D. at the Department of Computer Science, University of Massachusetts, Amherst.
He had worked with Prof. Andrew G. Barto on an algebraic framework for abstraction in Reinforcement Learning.
His current research interests span the broader area of machine learning, ranging from Spatio-temporal Abstractions in Reinforcement Learning to social network analysis and Data/Text Mining.
Much of the work in his group is directed toward understanding interactions and learning from them.
Prof. Y Narahari, IISc
Y Narahari is currently a Professor in the Department of Computer Science and Automation at the Indian Institute of Science (IISc), Bangalore.
The focus of his current research is to apply game theory, mechanism design, and machine learning to research problems at the interface of computer science and economics.
In particular, he is interested in algorithmic game theory, design of auctions and electronic markets, dynamic mechanisms with learning, crowdsourcing , online education, social network analysis, and blockchains.
Prof. Shivaram Kalyanakrishnan, IITB
Shivaram Kalyanakrishnan is an Associate Professor in the Department of Computer Science and Engineering, Indian Institute of Technology Bombay.
He specialise in artificial intelligence. Driven by the goal of creating intelligent agents -especially ones that can learn— He consider questions in areas such as sequential decision making, multiagent learning, multi-armed bandits, and humanoid robotics. Application domains include robot soccer, computer games, and on-line advertising.
Ashish Srivastava, IISc/CAIR
Ashish Srivastava has been working as a Scientist in CAIR DRDO since 2007, the Organization which he joined after finishing B. Tech. in Computer Science from National Institute of Technology (NIT) Jalandhar in 2007. Prior to joining DRDO, he worked as Research Assistant at SERC department of IISc Bangalore. He did his masters (M.Tech) from the dept. of Computer Science & Automation (CSA) at Indian Institute of Science (ISC) Bangalore in 2014-2016, with a specialisation in Machine Learning under the supervision of Prof. Narasimha Murty. Later, in August 2019, he registered for PhD in the CSA dept of IISc Bangalore under the supervision of Prof. Shalabh Bhatnagar Prof. Narasimha Murty and Dr. Subrata Rakshit. His research interest revolves around Reinforcement Leaming and Machine Learning for Information Retrieval and Natural Language Processing.
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