Tinoosh Mohsenin is an associate professor of electrical and computer engineering in the Whiting School of Engineering and an affiliate faculty member of the Johns Hopkins Institute for Assured Autonomy (IAA). She is also the director of the Energy Efficient High Performance Computing Lab. Before joining Johns Hopkins, she spent 11 years at the University of Maryland, Baltimore County’s Department of Computer Science and Electrical Engineering. Her research focus is on energy efficient computing for signal processing and machine learning used in multi-agent aerial and ground autonomous systems, human and machine teaming, wearable smart health monitoring, and cyber physical systems. She has also directed more than $10 million in research funding from NSF, LPS, ARL, DARPA, and various health institutes and industrial sponsors. She received her master’s degree from Rice University in 2004 and her PhD in electrical and computer engineering from University of California, Davis in 2010.

Mohsenin has more than 150 peer-reviewed journal and conference publications and is the recipient of NSF CAREER award in 2017, the best paper award in the ACM Great Lakes VLSI conference 2016, and the best paper honorable award in the IEEE Circuits and Systems Symposium 2017 for developing processors in biomedical and deep learning. She was a recipient of the ISSCC 2020 Evening Session Award for co-organizing a session titled “The Smartest Designer in The Universe.” She was the invited moderator for the ISSCC 2022 panel “The Bright and Dark Side of AI” and an invited keynote speaker for the IEEE AI Circuits and Systems Conference (AICAS), 14th IEEE Dallas Circuits and Systems Conference (DCAS), and 27th IEEE International Conference on Electronics Circuits and Systems (ICECS) in 2020.