Open Positions!
We are looking for highly self-motivated PhD, MS, and undergraduate students joining us, doing research on heterogeneous computing, computer-aided design, quantum computing, and machine learning systems. 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 and CS (affiliate)
University of Wisconsin at Madison, Madison, WI, USA, 53706
Office: Engineering Hall (EH) 3423
BS/MS (NCKU-CS@Taiwan), PhD (UIUC-ECE@USA)
Bio Dr. Huang is an Assistant Professor in ECE at the University of Wisconsin-Madison, with an affiliate appointment in CS. Previously, he was an Assistant Professor at Utah (2019–2023). He earned his PhD in ECE from UIUC (2017) and BS/MS in CS from Taiwan’s NCKU (2011). His research focuses on software systems for performance-critical applications, including CAD, machine learning, and quantum computing. His tools, such as OpenTimer and Taskflow, are widely used in industry and academia.
Dr. Huang has received several awards, including the ACM SIGDA Outstanding PhD Dissertation Award, NSF CAREER Award, Humboldt Research Fellowship, ACM SIGDA Outstanding New Faculty Award, and the ICCAD 10-Year Most Influential Paper Award (OpenTimer). Beyond research, he is passionate about software performance engineering and has won multiple programming contests, including 1st Place in ACM SIGDA CADathlon, ACM TAU Timing Analysis Contest, and IEEE HPEC Graph Challenge.
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), Cadence (summer’25)
Chih-Chun Chang
Spring 2023–present
Research: Parallel and heterogeneous computing algorithms
Experience: Cadence (summer’24, summer’25)
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, summer’25)
Master Students
Manu Maheshwari
Fall 2024–present
Research: GPU task graph optimization
Ting-Kuo Chen
Spring 2024–present
Research: TBD
Undergraduate Students
Shawn Zhu
Summr 2024–present
Research: Network optimization
Saksham Dhuria
Spring 2024–present
Research: Task-parallel scheduler optimization
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
UofU ECE Master 2023
Research: Graph neural network, performance modeling
First appointment: Trident Sensing (since 2023)
Luke Majors
UofU ECE Master 2023
Research: Graph algorithms
Yasin Zamani
UofU ECE Master 2021
Research: GPU programming, static timing analysis
First appointment: Data Scientist at Variant (since 2022)
Elmir Dzaka
UofU ECE Bachelor 2024
Research: Parallel logic simulation algorithms
First appointment: PhD at the University of Utah (since 2024)
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!
