Scholar
Michael Orshansky
Google Scholar ID: vae65B0AAAAJ
University of Texas at Austin
Citations & Impact
Citations
2,007
H-index
21
i10-index
37
Publications
20
Co-authors
29
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
- Publications: Variability-aware training and self-tuning of highly quantized DNNs for analog PIM in DATE 2022; Power-based Attacks on Spatial DNN Accelerators in JETC 2022; Horizontal side-channel vulnerabilities of post-quantum key exchange and encapsulation protocols in ACM Transactions on Embedded Computing Systems 2021, etc. Awards: Top Pick in Hardware and Embedded Security 2021; Best Paper Award Nomination at HOST 2019.
Research Experience
- Professor, John E. Kasch Endowed Faculty Fellow; Department of Electrical and Computer Engineering, The University of Texas at Austin; Fall 2024 Courses: EE 382V: ML Hardware-Algorithm Codesign; EE382M: Design for Low Power and Robustness; Spring 2025 Course: EE316: Digital Logic Design.
Background
- Research interests include hardware security (roots of trust based on physical unclonable functions, side-channel attacks and countermeasures, realizations of post-quantum cryptography), ML algorithm and hardware codesign, and approximate computing.
Miscellany
- Personal interests not mentioned.
