Keynote/Invited Speakers and Guests of Honour

Founding Director, Artificial Intelligence Institute and Professor, Computer Science & Engineering, University of South Carolina. Professor Sheth's current interests include Artificial Intelligence (esp. knowledge graphs, NLP, deep learning, knowledge-enhanced learning, conversational AI- esp chatbots for health and education), Semantic Web, Physical/IoT-Cyber-Social-Clinical Big Data, Augmented Personalized Health, AI and Big Data applications (in health and life sciences, social good, disaster management, etc.).


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Abhinav Shrivastava is an assistant professor in the Department of Computer Science with an appointment in UMIACS. Shrivastava’s research focuses on artificial intelligence—particularly as it relates to computer vision, machine learning, and robotics. He is also involved in related fields such as graphics, natural language processing, human-computer interaction, systems, data-mining, and cognitive and computational neuroscience. His longterm goal is to equip machines with visual perception abilities, which enables them to understand and respond to their surroundings. Shrivastava previously served as a visiting research scientist at Google Research. He also received a doctoral fellowship from Microsoft Research in 2014. He received his doctorate in robotics from the Robotics Institute (School of Computer Science) at Carnegie Mellon University in 2017.


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Milind Tambe is Gordon McKay Professor of Computer Science and Director of Center for Research in Computation and Society at Harvard University; concurrently, he is also Director "AI for Social Good" at Google Research India. Prof. Tambe's research focuses on advancing AI and multiagent systems research for Social Good. He is recipient of the IJCAI (International Joint Conference on AI) John McCarthy Award, ACM/SIGAI Autonomous Agents Research Award from AAMAS (Autonomous Agents and Multiagent Systems Conference), AAAI (Association for Advancement of Artificial Intelligence) Robert S Engelmore Memorial Lecture award, INFORMS Wagner prize, the Rist Prize of the Military Operations Research Society, the Christopher Columbus Fellowship Foundation Homeland security award, International Foundation for Agents and Multiagent Systems influential paper award; he is a fellow of AAAI and ACM. He has also received meritorious Team Commendation from the US Coast Guard and Los Angeles Airport, and Certificate of Appreciation from US Federal Air Marshals Service for pioneering real-world deployments of security games.Prof. Tambe earlier co-founded a company based on this research (Avata Intelligence), which was acquired by Procore Technologies. Prof. Tambe received his Ph.D. from the School of Computer Science at Carnegie Mellon University.


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Professor of Computer Science, University of California, Irvine. Prof.Ramesh has been an active researcher in Computer Vision, Artificial Intelligence, Multimedia Computing, Experiential computing, and Digital Health. While at the University of Michigan, Ann Arbor, he founded and directed artificial intelligence laboratory in 1987; and at University of California, San Diego, he founded visual computing lab in 1995. At University of California, Irvine, He is founding director of UCI Institute for Future Health. He was also the founding Editor-in-Chief of IEEE MultiMedia magazine and Machine Vision and Applications journal. His co-authored and co-edited books include two text books: Machine Vision (published in 1995), and Multimedia Computing (published in 2014). Ramesh has been elected Fellow of ACM, IEEE, AAAS, IAPR, AAAI, and SPIE. He is the recipient of several awards including the ACM SIGMM Technical Achievement Award 2010. His current research is in building computing and data-driven Navigational approaches for Future Health. He is Chief Technical Advisor for building Open Source Personal Health Navigator Project at Peng Cheng Laboratory in Shenzhen. Ramesh co-founded multiple companies, managed them in initial stages, and then turned them over to professional management. He enjoys working with companies, is involved in research, and enjoys writing. Recently IEEE TCMC announced him to be the winner of Impact award for his “pioneering and wide-spread impact to multimedia computing for the past four decades.”


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Dinesh Manocha is the Paul Chrisman Iribe Chair in the Department of Computer Science with joint appointments in the Department of Electrical and Computer Engineering and UMIACS. His research focuses on geometric and scientific algorithms with applications to computer graphics, robotics and virtual reality. Most recently, Manocha was the Matthew Mason/Phi Delta Theta Distinguished Professor of Computer Science at the University of North Carolina at Chapel Hill. As a member of the UNC faculty since 1992, he published more than 480 conference and journal papers and received 16 best paper or test-of-time awards. Manocha’s work is well cited in the computer graphics and robotics literature, with more than 34,000 citations according to Google Scholar. He has been recognized with numerous awards for his research and scholarship, including the NSF Career Award, ONR Young Investigator Award, Sloan Fellowship, IBM Fellowship, SIGMOD IndySort Winner, Honda Research Award, and UNC Hettleman Prize. Manocha is a Fellow of the Association for Computing Machinery, American Association for the Advancement of Science, Association for the Advancement of Artificial Intelligence, IEEE, and has received a Distinguished Alumni Award from the Indian Institute of Technology, Delhi. Manocha received his Ph.D. in computer science from the University of California, Berkeley, in 1992. He received his B. Tech. in computer science and engineering from the Indian Institute of Technology in Delhi, India, in 1987. He also received the Distinguished Alumni Award from the Indian Institute of Technology in Delhi, India.


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Srinivasan Parthasarathy is an Associate professor in the Computer Science and Engineering Department at the Ohio State University (OSU). He heads the data mining research laboratory and has a joint appointment in the department of biomedical informatics at OSU. He is a recipient of an NSF CAREER award, a DOE Early Career Award, an Ameritech Faculty fellowship and an IBM Faculty Award. His papers have received several best paper awards from leading conferences in the field including IEEE Conference on Data Mining (ICDM), SIAM Conference on Data Mining (SDM), the Very Large Databases Conference (VLDB) and the ACM Conference on Knowledge Discovery and Data Mining (SIGKDD). He is a member of the ACM and the IEEE and serves on the editorial boards of IEEE Intelligent Systems, Data Mining and Knowledge Discovery: An International Journal and the International Journal of Data Mining and Bioinformatics. He also served as one of the program chairs of SIAM Data Mining in 2007.


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Dr. Amit Kumar Pandey is the President, the Chief Technology Officer (CTO) and Chief Science Officer (CSO) at Hanson Robotics, the creator of world's most advanced human-like expressive humanoid robot, Sophia. Earlier he has served as the Head Principal Scientist (Chief Scientist) at SoftBank Robotics Europe (formerly Aldebaran Robotics), Paris, France, the creator of world's first mass produced humanoid robot Pepper, also serving as the scientific coordinator (R&D) of the collaborative projects of the company. In the past for 6 years he also worked as researcher in Robotics and AI at LAAS-CNRS (French National Center for Scientific Research), Toulouse, France. At LAAS-CNRS, he obtained his Ph.D. degree in Robotics (title: Towards Socially Intelligent Robots in Human Centered Environment), delivered by INSA (National Institutes of Applied Sciences), University of Toulouse. His PhD thesis is among the best three theses and the second prize winner (tie) of the prestigious Georges Giralt Award for the best Ph.D. Theses in Robotics in Europe, awarded by European Union Robotics (euRobotics). With full fellowship, he obtained his MS by Research degree in Computer Science and Engineering with specialization in Robotics, in 2007 from IIIT-Hyderabad, India. He obtained his B.Tech. from JIIT, Noida, India. His research interest includes Socially Intelligent Robots and Societal Impact of robotics & AI technologies, Human Robot Interaction, Robot’s Cognitive Architecture & Learning. On these aspects, he has been actively contributing as principal investigator, researcher, and industrial scientific coordinator in more than 13 large scale national, international and European Union (EU) projects, as well as involved in their design and proposal, has published 60+ scientific research papers, and delivered 100+ invited talks/keynotes/lecture in international venues. He has served as the General Chair of IEEE/RSJ/KROS Ro-Man 2019 conference, one of the oldest international conference in the domain. Among other responsibilities, he is the founding coordinator of Socially Intelligent Robots and Societal Applications (SIRo-SA) Topic Group (TG) of euRobotics (the European Union Robotics Community), and active contributor in the Multi-Annual Roadmap (MAR) and Strategic Research Agenda (SRA) of euRobotics, which aim to shape the future of robotics in Europe in collaboration with European Commission (EC) through PPP SPARC (one of the largest civilian-funded robotics innovation programme in the world). Among other recognitions, he is also the recipient of Innovation Leadership Award; Global Excellence Award for Contribution in Robotics and AI; Achievers Award for Science & Technology, AI, Robotics and Education; and Pravashi Bihari Samman Puruskar 2014 (Non Residential Bihari Honour Award), for Science, Technology and Education, one of the highest level civilian honors, awarded by the state of Bihar, India


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