Open Positions!

We are looking for highly self-motivated PhD, MS, and undergraduate students joining us, doing research on computer-aided design, high-performance computing, machine learning systems, and quantum computing. Please email Prof Huang your resume and research interest (see our Research and Why Join Our Team?).


Faculty

Tsung-Wei (TW) Huang

Assistant Professor, Department of ECE
University of Wisconsin at Madison, Madison, WI, USA, 53706
Office: Engineering Hall (EH) 3423
BS/MS (NCKU-CS), PhD (UIUC-ECE)

Bio Dr. Huang is an Assistant Professor in the ECE Department at the University of Wisconsin at Madison. He was an Assistant Professor at the University of Utah from 2019 to 2023. He received his PhD from the ECE Department at the University of Illinois at Urbana-Champaign in 2017 and BS/MS from the CS Department at Taiwan’s National Cheng Kung University in 2011. He has been creating software systems to simplify the building of performance-critical applications, such as computer-aided design, machine learning systems, and quantum computing. These software systems are being used by thousands of people in industry and academia.

Dr. Huang receives several awards for his research contributions, including ACM SIGDA Outstanding PhD Dissertation Award, NSF CAREER Award, Humboldt Research Fellowship Award, ACM SIGDA Outstanding New Faculty Award, and ICCAD 10-year Retrospective Most Influential Paper Award.


PhD Students

Cheng-Hsiang Chiu

Fall 2020–present

Research: Parallel programming systems and runtime

Experience: Cadence (summer’21), Intel (summer’22)

Che Chang (Randy)

Spring 2022–present

Research: Static timing analysis

Experience: Intel (summer’22), Google (summer’24)

Wan-Luan Lee

Spring 2022–present

Research: Parallel and heterogeneous graph analytics

Experience: Synopsys (summer’22)

Chih-Chun Chang

Spring 2023–present

Research: Parallel and heterogeneous computing algorithms

Experience: Cadence (summer’24)

Boyang Zhang

Spring 2023–present

Research: Parallel and heterogeneous computing algorithms for EDA

Experience: Cadence (summer’24)

Yi-Hua Chung

Fall 2023–present

Research: GPU-acceleration for testing and verification algorithms

Experience: Synopsys (summer’24)

Jiang Shui

Spring 2022–present (co-supervised with Prof Tsung-Yi Ho at CUHK)

Research: DNN compression and quantum computing

Jie Tong

Fall 2023–present (co-supervised with Prof Umit Ogras at UW-Madison)

Research: Domain-specific compilation and scheduling optimization

Experience: Marvels (summer’23), Nvidia (summer’24)

This could be you !

Please email Prof Huang your resume and research interest.


Master Students

Manu Maheshwari

Fall 2024–present

Research: GPU task graph optimization

Aditya Das Sarma

Spring 2023–present

Research: Multi-bit flip-flop clustering for power optimization

Ting-Kuo Chen

Spring 2024–present

Research: TBD

This could be you !

Please email Prof Huang your resume and research interest.


Undergraduate Students

Shawn Zhu

Summr 2024–present

Research: Network optimization

Saksham Dhuria

Spring 2024–present

Research: Task-parallel scheduler optimization

Elmir Dzaka

Spring 2022–Fall 2023

Research: Parallel logic simulation algorithms

This could be you !

Please email Prof Huang your resume and research interest.


Alumni

Dian-Lun Lin (Aaron)

UW-Madison ECE PhD 2024

Research: GPU-accelerated logic simulation and machine learning

Dissertation: Task-Parallel Heterogeneous Programming System for Logic Simulation

First appointment: Intel Lab, Parallel Computing Group (since 2024)

Guannan Guo

UIUC ECE PhD 2023 (co-supervised with Prof Martin Wong at UIUC)

Research: static timing analysis, heterogeneous computing

Dissertation: Parallel and heterogeneous computing for static timing analysis

First appointment: Huawei (since 2023)

McKay Mower

ECE Master 2023

Research: Graph neural network, performance modeling

First appointment: Trident Sensing (since 2023)

Luke Majors

ECE Master 2023

Research: Graph algorithms

Yasin Zamani

ECE Master 2021

Research: GPU programming, static timing analysis

First appointment: Data Scientist at Variant (since 2022)


Why Join Our Team?

The code of conduct in our group is to respect and support each other. Hierarchy does exist but only for project management. We solve real-world problems that matter to the society. You will find plenty of research opportunities for a BS/MS/PhD thesis. Specifically, in our group you will learn to:

  • Apply ECE/CS knowledge to solve scientific computing problems
  • Create impactful research projects and software systems
  • Become a good programmer and an independent researcher

We collaborate with many people from industry, academia, and government agencies. You can work with people around the world to explore different research ideas. After you leave our group, you will be ready for many job opportunities in both software and hardware companies. For instance, my students have been working in Nvidia, Intel, Cadence, Synopsys, IBM, Google, Huawei, etc.

According to 2024 US News, the ECE Department of UW-Madison is ranked #9 among public universities and #15 among all universities. You will find plenty of resources to help you grow and advance your research career in our department and UW-Madison!