Bhavya Kailkhura is a Computer Scientist in the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory. He received his Master of Science and doctorate degrees in Electrical Engineering from Syracuse University in 2012 and 2016 respectively. His research interests include adversarial machine learning, robust statistics and control, and high-dimensional data analytics. He was the runner-up for "Best Student Paper Award" at IEEE Asilomar Conf. on Signals, Systems & Computers, 2014 and an SPS travel grant award recipient. He received the All University Doctoral Prize 2017 by Syracuse University for superior achievement in completed dissertations. He is also a receipient of Deputy Director for S&T Excellence in Publication Award, LLNL, 2019. He co-chaired workshops on human in the loop machine learning at GlobalSIP'19 and, ICASSP'18.
 A. Vempaty, B. Kailkhura, and P. K. Varshney, "Secure Networked Inference with Unreliable Data Sources", Springer Nature, 2018.
 B. Kailkhura, A. Vempaty, and P. K. Varshney, "Collaborative Spectrum Sensing in the Presence of Byzantine Attacks", Cooperative and Graph Signal Processing, Elsevier, 2018.
 A. Vempaty, B. Kailkhura, and P. K. Varshney, "Robust Fusion of Unreliable Data Sources Using Error-Correcting Output Codes", Data Fusion in Wireless Sensor Network, IET International Book Series on Sensing, 2019.