Michael Orshansky
About
Dr. Michael Orshansky is a Professor in the Department of Electrical and Computer Engineering at The University of Texas at Austin and holds the John E. Kasch Endowed Faculty Fellowship in Engineering. He received his B.S., M.S., and Ph.D. degrees in Electrical Engineering and Computer Sciences from the University of California, Berkeley. Prior to joining UT Austin, he was a Research Scientist and Lecturer with the Department of EECS at UC Berkeley. His research interests include low-power design, hardware security, approximate computing, design optimization for robustness and manufacturability, and statistical analysis and design methods. He has published over 90 technical articles and holds three U.S. patents. He is the author of the book “Design for Manufacturability and Statistical Design: A Constructive Approach.” Dr. Orshansky is the recipient of the National Science Foundation CAREER award, ACM/SIGDA Outstanding New Faculty Award, IEEE Transactions on Semiconductor Manufacturing Best Paper Award, Best Paper Award at Design Automation Conference, Best Paper Award at International Symposium on Quality Electronic Design, and IEEE/ACM William J. McCalla ICCAD Best Paper Award.
Research Performance Summary
First Recorded Paper
Span filtering: an optimization scheme for volume visualization of large finite element models
Year: 1991
Citations: 111
Venue: Proceeding Visualization'91
Latest Recorded Paper
Mixed-Precision Quantization for Deep Vision Models with Integer Quadratic Programming
Year: 2025
Citations: 1
Venue: 2025 62nd ACM/IEEE Design Automation Conference (DAC)
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.