Tinoosh Mohsenin is an Associate Professor in the Department of Computer Science and Electrical Engineering at University of Maryland Baltimore County, where she directs Energy Efficient High Performance Computing (EEHPC) Lab. She received her PhD from University of California, Davis in 2010 and M.S. degree from Rice University in 2004, both in Electrical and Computer Engineering.
Prof. Mohsenin’s research focus is on designing highly accurate and energy efficient embedded processors for machine learning, signal processing and knowledge extraction techniques for autonomous systems, wearable smart health monitoring, and embedded big data computing.
She has over 100 peer-reviewed journal and conference publications and is the recipient of NSF CAREER award in 2017, the best paper award in the GLSVLSI conference in 2016, and the best paper honorable award in ISCAS 2017 for developing domain-specific accelerators for biomedical, deep learning and cognitive computing.
She currently leads 8 research projects in her lab which are all funded by National Science Foundation (NSF), Army Research Lab (ARL), Laboratory for Physical Sciences, Northrop Grumman, Boeing and Nvidia.
She has served as Associate Editor in IEEE Transactions on Circuits and Systems-I (TCAS-I) and IEEE Transactions on Biomedical Circuits and Systems (TBioCAS). She is the General Chair of 30th ACM GLSVLSI co nference and was the Program Chair and Local Arrangement Chair for the 29th ACM GLSVLSI and 50th IEEE ISCAS, respectively. She has also served as technical program committee member of the IEEE International Solid-State Circuits Conference Student Research (ISSCC-SRP), IEEE Biomedical Circuits and Systems (BioCAS), IEEE International Symposium on Circuits and Systems (ISCAS), ACM Great Lakes Symposium on VLSI (GLSVLSI and IEEE International Symposium on Quality Electronic Design (ISQED) conferences. She also serves as secretary of IEEE P1890 on Error Correction Coding for Non-Volatile Memories.