Chair, 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗗𝗲𝗽𝗮𝗿𝘁𝗺𝗲𝗻𝘁, 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 𝗼𝗳 𝗦𝗼𝘂𝘁𝗵 𝗗𝗮𝗸𝗼𝘁𝗮, United States
𝗙𝗼𝘂𝗻𝗱𝗲𝗿/𝗗𝗶𝗿𝗲𝗰𝘁𝗼𝗿, 𝗔𝗽𝗽𝗹𝗶𝗲𝗱 𝗔𝗜 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗟𝗮𝗯 | 𝗣𝗵𝗗 (𝗜𝗡𝗥𝗜𝗔),
Prof. KC Santosh, a highly accomplished AI expert, is the chair of the Department of Computer Science, University of South Dakota. He served the National Institutes of Health as a research fellow. He earned his PhD in Computer Science - Artificial Intelligence from INRIA Nancy Grand East Research Centre (France). With funding of over $1.3 million, including a $1 million grant from DEPSCOR (2023) for AI/ML capacity building at USD, he has authored 10 books and published over 240 peer-reviewed research articles. He is an associate editor of multiple prestigious journals such as IEEE Transactions on AI, Int. J of Machine Learning & Cybernetics, and Int. J of Pattern Recognition & Artificial Intelligence. To name a few, Prof. Santosh is the proud recipient of the Cutler Award for Teaching and Research Excellence (USD, 2021), the President's Research Excellence Award (USD, 2019) and the Ignite Award from the U.S. Department of Health & Human Services (HHS, 2014).
Vipparthi Adimurthy (born 5 May 1946) is the ISRO Honorary Distinguished Professor, VSSC. He was the former Satish Dhawan Professor and Dean of Research at the Indian Institute of Space Science and Technology (IIST). Prior to joining IIST, Adimurthy held the post of associate director at the Vikram Sarabhai Space Centre, a major facility center of Indian Space Research Organisation (ISRO). He is known for his contributions to the rocket technology and space dynamics. He is a recipient of Padma Shri from the Government of India. Murthy is the Mission Concept Designer, for India's Mars Orbiter Mission.
Director of Innovation at SmartGridz | Energy Researcher | MIT Ph.D.
She is currently the Director of innovation and an AI research scientist with an energy-based startup company SmartGridz based in Boston, MA. She completed Ph.D. under the guidance of Prof. Marija Ilic in Electrical Engineering and Computer Science, with a minor in machine learning, at MIT. As a member of Electric Energy and Systems Group (EESG) and Laboratory for Information and Decision Systems (LIDS) at MIT.