Official Job Title
Associate Professor
Email Address
Office Building
Office Room Number
Technical Interest Group(s)

Visvesh S. Sathe received the B.Tech. degree from the Indian Institute of Technology, Bombay and the M.S. and Ph.D. degrees from the University of Michigan, Ann Arbor. He joined Georgia Tech. in 2022, where his group, the Processing Systems Lab (PSyLab) conducts research on a broad range of problems in energy-efficient computing and implantable electronics.

Prior to joining Tech, Visvesh was Associate Professor at the University of Washington (2013-2022), and a Member of Technical Staff in the Low-Power Advanced Development Group at AMD (2007-2013). At AMD, his work involved inventing and translating energy-efficient circuit technologies into next-generation microprocessors. Visvesh led the research and development effort which resulted in the first resonant clocked production processor. While at AMD, he co-developed the adaptive clocking architecture for supply droop mitigation which has been subsequently transferred into volume production. His current research interests are in the exploration of computational techniques for run-time hardware control and optimization of digital and mixed-signal systems over a range of applications. His group’s current research spans clocking, voltage-regulation, power management, baseband processing, ultra-low power electronics, thermal sensing and management, and closed-loop bi-directional neural interfaces.

Visvesh is the recipient of an NSF Career award in 2019 and the Intel outstanding researcher award in 2021. He serves on the technical program committee of the IEEE Custom Integrated Circuits Conference, the Design Automation Conference, the SSCS Webinar committee, and as a distinguished lecturer of the Solid-State Circuits Society.

  • Energy efficient IC design for high performance computing
  • Power management circuits and architectures
  • Closed-loop bi-directional neural interfaces
  • Adaptive, energy-efficient baseband processing for communication systems
  • Design and run-time optimization in Systems-on-Chip
  • System clocking - generation and distribution
Distinctions & Awards
  • Distinguished Lecturer, Solid-State Circuits Society, 2021-2022 (IEEE)
  • Outstanding Researcher Award, 2020, Intel
  • CAREER Award, 2019, National Science Foundation (NSF)
  • Best paper award, “MATIC: Learning around errors for Efficient Neural Network Accelerators”, ACM/IEEE Design Automation and Test in Europe (DATE)
  • Vice-President Spotlight Award for the research, development, and translation of resonant-clocking into volume microprocessor production, April 2012, Advanced Micro Devices