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Ph.D. student Mohammadamir (Amir) Kavousi successfully defended his thesis

Ph.D. student Mohammadamir (Amir) Kavousi successfully defended their thesis, titled " Physics-Based Modeling of Coupled Electromigration and Thermomigration in Multi-Segment Interconnects considering Joule Heating Effects". Best wishes for his future endeavors!

Dr. Sheldon Tan was elevated to rank of IEEE Fellow

Dr. Sheldon Tan was elevated to rank of IEEE Fellow for his contribution to reliability and thermal modeling and analysis of integrated circuits

Ph.D. students Maliha Tasnim and Yibo Liu successfully defended their theses

Ph.D. students Maliha Tasnim and Yibo Liu successfully defensed their thesis and graduated from VSCLAB during the summer 2024. Best wishes for their future endeavor!

Ph.D. Students from VSCLAB received industry intern offers for summer 2024

Ph.D. student Lamichhane will work for AMD for reliability related project during the summer 2024. He will join AMD for a full time job after graduation. Ph.D. student Jincong Lu will work for NXP semiconductor for reliability related project for the summer 2024. . Ph.D. Sachin Sachdeva worked for Intel in summer 2024. Congratulation on...

Yibo's work on stochastic computing for divider design published in TCAD

This work, which mainly developed by PhD student Yibo Liu and Shuyuan Yu, developed a new stochastic computing framework for performing hardware based division operation for fixed point numbers for the first time. They applied so-called counting-based stochastic computing technique to mitigate the existing issues of SC based divider such as coherent requirements of bit...

Dr. Sheldon Tan Receives $500K NSF Grant to Continue Electromigration Research in VLSI Chip Design

Dr. Sheldon Tan has just been awarded a prestigious grant from the National Science Foundation's CISE CCF Core Small program (CCF-2305437). The project, titled "SHF:Small: Learning-based Fast Analysis and Fixing for Electromigration Damage," is funded with $500,000 and spans from September 1, 2023, to August 31, 2026. This significant grant will provide essential support for...

Three papers to be published in ICCAD 2023

This year, we have three accepted ICCAD 2023 papers, leaded by two Ph.D. students Jincong Lu and Subed Lamichhane and Post-Doc. Dr. Liang Chen. The three papers listed below. ICCAD is one of two top conferences in the design automation (see CSrankings.com). The first paper [1] proposed a new machine learning based approach to estimation...

Ph.D. Students from VSCLAB received industry intern offers for summer 2023

Three Ph.D. students received the industry offers for the summer 2023

Ph.D. student Wentian Jin, Jinwei Zhang and Shuyuan Yu graduated

Three Ph.D. students, Wentian Jin, Jinwei Zhang and Shuyuan Yu graduated from VSCLAB.

Dr. Tan delivered CEDA distinguished lecture

Dr. Sheldon Tan delivered CEDA Virtual Distinguished Speaker Presentation, “Data-driven Deep Learning for Full-Chip Thermal and Power Estimation for Commercial Multi-core Systems”. The event was hosted by Prof. Helen Li on Feb. 6, 2023. The presentation can be viewed at here as UCR students.

Liang joined Shanghai University as a faculty member

Dr. Liang Chen joined Shanghai University, Shanghai China, in January 2023 as an Associate Professor. Congratulation on him. Dr. Liang was a post-doc at VSCLAB. He joined VSCLAB in 2018 as a visiting Ph.D. student and was co-supervised by Dr. Sheldon Tan for his Ph.D. study at UCR. He graduated in 2020 from SJTU and...

Our recent work on EM-aware optimization using ML was accepted by TCAD

Our recent work, led by Ph.D. student, Han Zhou, to optimize the on-chip power grid networks considering the electromigration effects using machine learning based approach has been accepted by TCAD. This work represents our new approach to addressing the challenging EM failure and aging issues in the nanometer VLSI chip design. Our study shows that...

Ph.D. Students from VSCLAB received industry intern offers for summer 2022

Most of senior PhD students in VSCLAB have received internship job offers for summer 2022. Wentian will work for Synopysis for machine learning related projects. Jinwei Zhang will work for Nvidia. Shuyuan will work for PrimeShield group in Synopsys. Subed Lamichhane will work in Synopsys and Yibo Liu will also work in the Synopsys for...

Chimay Raje won DAC Young Fellow award for DAC2022

First-year Ph.D. student Chinmay Raje received DAC Young Fellow award to attend DAC 2022. Congratulation on him.

Wentian won Dissertation Year Program (DYP) Fellowship for 2022-2023

Ph.D. student Wentian Jin won UCR Dissertation Year Program (DYP) Fellowships for 2022-2023 from UCR graduate division. This fellowship is very competitive for all the Ph.D. students in the UCR to graduate in 2022-2023 academic year. This is a significant achievement for Wentian for his excellent academic performances and research achievement. Congrats on him!

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 works developed in the VSCLAB. The mission of the CEDA Distinguished Lecturer Program (DLP) is...

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 can be derived analytically for a given TEC devices for maximum cooling capacity. L. Chen...

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. The third paper is about new approximate multiplier design based logarithmic multipliers. Congratulation on the...

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. Today’s high-performance processors, and even emerging mobile platforms, are more thermally constrained than ever before...

Full-chip power map estimation for commercial multi-core microprocessor has been accepted by TCAD

The research work for performing full-chip power and thermal map estimation for commercial multi-core microprocessor under realistic heat sink cooling has been accepted by IEEE Transaction on TCAD, the top journal in the EDA field. This work, leaded by Ph.D. student, Jinwei Zhang, is the first work to accurate estimate the full-chip power and thermal...