He has co-supervised one Ph.D. and four master’s theses, and currently co-advises two doctoral students. He has authored over 90 peer-reviewed publications and regularly serves as a reviewer for IEEE, Elsevier, Springer, and other leading journals and conferences. His recognitions include the Tata Consultancy Services (TCS) Fellowship and two sub-challenge awards in the ACM-MM ComParE Challenge 2022.
Research Experience
He is currently a Research Assistant Professor in the Department of Electrical and Computer Engineering at the Viterbi School of Engineering, University of Southern California (USC). Prior to this, he served as a Research Scientist at USC and held research appointments at Aalto University, Finland, as a Research Fellow and Postdoctoral Researcher. His current research focuses on advancing the frontiers of bio-marking human health through multimodal signal analysis.
Education
He received his Ph.D. from IIIT-Hyderabad and his B.Tech. from JNTU-Hyderabad, India.
Background
His research interests span biomarking of health from multimodal signals, speech and language technologies, affective computing, digital health, and auditory neuroscience. His work focuses on extracting meaningful indicators of health and well-being from speech, physiological, and neurological signals through signal processing, machine learning, and deep learning.