Welcome to VSCLAB at UC Riverside


new photo from 2017

I am Professor at Department of Electrical and Computer Engineering at Bourns College of Engineering.  I am also a cooperating faculty member (co-faculty) of the Computer Science and Engineering department. Here are my latest curriculum vitae and short biography and my publication list

I am the director of VLSI System and Computation Lab (VSC Lab) at UC Riverside. I am also the associate director for the Computer Engineering Program at Bourns College of Engineering.

In addition, I am the Editor in Chief (EIC) of Integration, The VLSI Journal, which is one of the primary journals in the VLSI design and CAD/design automation areas.

My previous website can be found here and the one before that here

VSCLAB Recent Research Highlights:

Current research areas

  • Machine and deep learning for VLSI reliability modeling and optimization
  • Advanced VLSI design techniques for machine and deep learnings
  • VLSI long-term reliability, resilient systems, fault tolerant computing,  reliability-aware design and management at circuit and system levels
  • Machine learning based thermal modeling, optimization and dynamic thermal management at circuit, chip and board levels
  • Parallel computing and  analysis on heterogeneous and accelerator-rich (GPUs) platforms
  • Statistic modeling and optimization for VLSI systems

Latest News from VSCLAB

Prof. Tan selected as IEEE CEDA Distinguished Lecturer for 2022-2023

Prof. Sheldon Tan has been selected to serve as the IEEE CEDA Distinguished Lecturer for 2022-2023. Under this DL program, Prof. Tan will delivers a few lectures over the time 2022-2023 to the EDA community to disseminate the latest research...

TCAD paper on electrothermal analysis and design has been published

Dr. Liang Chen's work on the electrothermal modeling and optimal design has been accepted by IEEE Transaction on TCAD. This work develops a novel compact electrothermal devices (TEC) based on the first principles. Based on this model, the optimal voltages...

Three papers has been accepted to ASPDAC 2022

Three papers have been accepted by ASPDAC 2022 as below. The first paper is about new graph convolution network based analysis techniques for emerging chipset design. The second paper is about new fast EM analysis technique consider Joule heating effects...

NSF funded the research for machine learning based thermal monitoring and run-time thermal management for manicure processors and chiplet designs

NSF funded the research of VSCLAB for for machine learning based thermal monitoring and run-time thermal management for manycore processors and chiplet designs. Prof. Sheldon Tan is the single PI for this research work with 500K budget for three years...

The job openings in VSCLAB

My group now has 3-4 Ph.D. openings for the Fall 2020. Students with electrical engineering, computer science, physics and applied mathematics backgrounds are welcome to apply. Students with M.S. degrees are preferred. Full financial supports will be provided for qualified students.