Dr. Kanishka Tyagi is the Director of Artificial Intelligence projects at UHV. Before joining, UHV, he was a senior machine learning scientist at Aptiv advance engineering center, CA, and worked on autonomous vehicles. He received his Bachelor's Degree in Electrical Engineering in 2008 from Pantnagar, India. Later he worked as a Research Associate at the Department of Electrical Engineering, Indian Institute of Technology, Kanpur, with Dr. P.K. Kalra. He received his Master’s and Doctoral degree with Dr. Michael Manry in the Department of Electrical Engineering at The University of Texas at Arlington in 2012 and 2017. Prior to Aptiv, he worked at Siemens research, interned in machine learning groups at The MathWorks and Google Research. He has worked as a visiting researcher at Ajou University and Seoul National University. His research interests are radar machine learning, neural networks and hardware machine learning. He received the 2007 and 2011 IEEE CIS Outstanding Student Paper Travel Grant Award and 2013 IEEE CIS Walter Karplus Summer Research Grant award. Dr. Tyagi has taught four undergraduate/graduate courses on Big Data, soft computing and machine learning. Dr. Tyagi is a IEEE senior member, member of IEEE-CIS industrial-academic committee and IEEE standards committee on Explainable AI. He currently serves as an associate editor for IEEE Transaction on Neural Network and Learning Systems (IEEE-TNNLS), IEEE Transactions on Artificial Intelligence (IEEE-TAI) and Neural Processing Letters (NEPL). Dr. Tyagi has published over 45 papers and filed 17 U.S. patents and trade secrets.