Krishna M. Kalyanam is a Sr. Aerospace Research Engineer with NASA Ames Research Center. He is the AI/ML tech lead for AAM and NextGen ATM initiatives within NASA Aviation Systems Division and NASA Aeronautics Research Institute (NARI). He received the B.Tech. degree from the Indian Institute of Technology, Madras, in 2000, and the M.S. and Ph.D. degrees from the University of California at Los Angeles, in 2003 and 2005, respectively, all in mechanical engineering. Prior to joining NASA, he did various research stints with GE Global Research, U.S. Air Force Research Lab (AFRL) and Xerox Palo Alto Research Center (PARC). Over the years, his work has spanned precision machining (PhD), Train optimal control and Wind Farm layout optimization (for GE) and multi-UAV scheduling and optimization for AFRL. He has co-authored 20+ journal articles and 40+ peer-reviewed conference publications in diverse areas including optimal control, operations research and autonomous systems. He is a co-inventor of GE’s Trip Optimizer and WindLAYOUT optimization services, both of which have generated multi-billion dollar revenues for GE. He has co-designed several multi-UAV scheduling algorithms that have been successfully flight tested as part of AFRL’s Intelligent Control & Evaluation of Teams (ICE-T) program. He is an associate fellow of AIAA and senior member of IEEE.