Professor Dr. Michael Orshansky

Professor

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Biography

Michael Orshansky is a Professor in the Department of Electrical and Computer Engineering at The University of Texas at Austin, where he holds the John E. Kasch Endowed Faculty Fellowship. 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 worked as a Research Scientist and Lecturer in the Department of EECS at UC Berkeley. His research interests focus on low-power design, hardware security, approximate computing, and design optimization for robustness and manufacturability, incorporating statistical analysis into design methods. Dr. Orshansky has published over 90 technical articles and holds several U.S. patents. He is the author of the book “Design Manufacturability Statistical Design: Constructive Approach.” He has received numerous accolades, including the National Science Foundation CAREER award and several best paper awards from various conferences.

Research Interests

Low-Power Design Hardware Security Approximate Computing Design Optimization Robustness Manufacturability Statistical Analysis

Experience

Research Scientist

— Present

University of California, Berkeley • Berkeley, CA

Conducted research in electrical engineering and computer sciences.

Lecturer

— Present

University of California, Berkeley • Berkeley, CA

Lectured on topics related to electrical engineering and computer sciences.

Awards

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National Science Foundation CAREER Award

#

ACM/SIGDA Outstanding New Faculty Award

#

IEEE Transactions Semiconductor Manufacturing Paper Award

#

Paper Award Design Automation Conference

#

Paper Award International Symposium Quality Electronic Design

#

IEEE/ACM William J. McCalla ICCAD Paper Award

Requirements for University of Texas at Austin

Master Program

Requirements

GPA Requirement
Required:3
GRE General
TOEFL
Total
Required:79
IELTS
Overall
Required:6.5

Prerequisites

Bachelor's degree from a regionally accredited institution

Application Checklist

  • Online application
  • Application fee
  • Official transcripts
  • Statement of Purpose
  • Three letters of recommendation
  • CV/Resume

Specialization Notes

General requirements for the Graduate School at UT Austin apply to all programs unless otherwise specified.