Indo-US Workshop on Artificial Intelligence and Data Science

– Chapter 2

10th December 2023 (Sunday) – 9 am onwards

The Indo-US Workshop on Artificial Intelligence and Data Science will take place at Mahindra University on 10th December, 2023. There are 5 International and 2 National speakers of academic excellence and repute who will share their thoughts. These academicians will engage in healthy discussions with the faculty and Ph.D. students of the university

Arif Sarwat

Ph.D., Eminent Scholar Chaired Professor and Director of FPL-FIU Solar Facility and Energy, Power & Sustainability (EPS)

Title of the Talk: Unleashing the Power of Artificial Intelligence-Based Microgrid: Mathematical Modeling to Physical Infrastructure

Bio: Dr. Arif Sarwat has been in the industry (Siemens) and academia for more than 20 years. He is an Eminent Scholar Chaired Professor in the Department of Electrical and Computer Engineering, the Director of the FPL-FIU Solar Research Facility and Energy Power Sustainability(EPS) group at FIU. He is also the Principal Investigator for the state-of-the-art grid-connected https://ece.fiu.edu/people/faculty/profiles/sarwat-arif/index.html https://eps.fiu.edu/

3MW/9MWh AI-based Renewable (AIR) Microgrid long-term project funded by FPL. His research interests include smart grids, electric vehicles, high penetration renewable systems, storage, and battery management systems, grid resiliency, large-scale data analysis, artificial intelligence, advanced metering infrastructure, smart city infrastructure, and cybersecurity.

Sanguthevar

Rajasekaran

Director, School of Computing,Board of Trustees Distinguished Professor, and Pratt & Whitney Chair Professor of CSE University of Connecticut, Storrs

Title of the Talk: Some Crucial Challenges in ML and Data Science https://raj.cse.uconn.edu/

Bio: Sanguthevar Rajasekaran received his M.E. degree in Automation from the Indian Institute of Science (Bangalore) in 1983, and his Ph.D. degree in Computer Science from Harvard University in 1988. Currently he is the Director of the School of Computing, Board of Trustees Distinguished Professor, and Pratt & Whitney Chair Professor of CSE at the University of Connecticut. Before joining UConn, he has served as a faculty member in the CISE Department of the University of Florida and in the CIS Department of the University of Pennsylvania. During 2000-2002 he was the Chief Scientist for Arcot Systems. His research interests include Big Data, AI and Machine Learning, Bioinformatics, Algorithms, Data Mining, Randomized Computing, and HPC.

Devika Madalli

Professor of the Documentation Research and Training Centre, Indian Statistical Institute and Adjunct faculty, DISI, University of Trento, Italy.

Title of the Talk: DMPFrame for Research Data Management

Bio https://drtc.isibang.ac.in/DPM/

Dr.Madalli is a member of the Karnataka Evaluation Authority(KEA).

Dr.Madalli has extensive experience in capacity building, training on elearning, MOOCs (moodle) and digital repositories. Dr. Madalli is a member of the Technical Advisory Board of Research Data Alliance. She is a member of the governance board of DRYAD. Dr.Madalli serves as a consultant to UNESCO, UNFAO, OECD, Commonwealth of Learning and European Commission.

Distinguished University Professor, Founding Director of the Discovery Lab and Director of the US Army funded Center of Excellence in Digital Forensics at Florida International University, Miami

Title of the Talk: "AI Frontier: Illuminating the Potential"

Bio: Dr. S.S. Iyengar is currently the Distinguished University Professor, Founding Director of the Discovery Lab and Director of the US Army-funded Center of Excellence in Digital Forensics at Florida International University, Miami. He is also the Distinguished Chaired Professor at National Forensics Sciences University, Gandhinagar, India. He was awarded the 2023 Karnataka Rajyotava Award (Karnataka State’s 2nd Highest Civilian Award) on November 1st , 2023. He has been involved with research and education in high-performance intelligent systems, Data Science and Machine Learning Algorithms, Sensor Fusion, Data Mining, and Intelligent Systems. https://people.cis.fiu.edu/iyengar/

Guna Seetharaman

PhD, FIEEE, ST , Navy Senior Scientist (ST) for Advanced Computing Concepts, and the Chief Scientist for Computation, Center for Computational Sciences, Navy Research Lab

Title of the Talk: A Framework of Harnessing Context and Coherence with Statistically Driven Machine Learning Systems.

Bio: Guna Seetharaman is the Navy Senior Scientist (ST) for Advanced Computing Concepts, and the Chief Scientist for Computation, Center for Computational Sciences, Navy Research Lab. He joined NRL in June 2015. He also served as a senior scientific advisor (ST) for the C5ISR-EW Directorate of OUSD RD&E, during 2017-2020. He worked as Principal Engineer at the Air Force Research Laboratory, Information Directorate, where he led research and development in Video Exploitation, Wide Area Motion Imagery (WAMI), High Performance Computing for C4ISR at the edge (CETE), Computing Architectures and Cyber Security. He holds several US Patents in related areas. https://cell.missouri.edu/people/14/