Tinoosh Mohsenin is currently an Associate Professor with the Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County, where she is also the Director of the Energy Efficient High Performance Computing Lab. She received her PhD from University of California, Davis in 2010 and MSc degree from Rice University in 2004, both in Electrical and Computer Engineering. Prof. Mohsenin’s research focus is on designing energy efficient embedded processors for machine learning and knowledge extraction computing techniques used in autonomous systems, wearable smart health monitoring, and Internet of Things. She has over 150 peer-reviewed journal and conference publications and has directed over $5M research funding from NSF, ARL, DARPA, and various biomedical institutes and industrial sponsors. She 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 is currently the Corresponding Guest Editor JETCAS and has previously served as Associate Editor in TCAS-I and TBioCAS. She received ACM Service Award for her contributions as Program Chair and General Chair of 29th and 30th ACM Great Lake VLSI Symposium in 2019 and 2020, respectively. She was a recipient of the ISSCC 2020 Evening Session Award for co-organizing an evening session entitled “The Smartest Designer in The Universe”. She was the invited Keynote Speaker of 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. She is Currently serving as Technical Program Co-Chair of tinyML Research Symposium 2022. She also serves as Tutorial Co-Chair and Special Session Co-Chair of IEEE NEWCAS and AICAS conferences and is a Co-organizer and Moderator of an Evening Session titled "The Bright and Dark Side of Artificial Intelligence" in the ISSCC 2022 conference.
For Updated list of Alumni and Current students please refer to my research lab EEHPC Team