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
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, and ACM SIGDA Outstanding New Faculty Award.
PhD Students
Dian-Lun Lin (Luan)
Spring 2020–present
Research: GPU-accelerated logic simulation and machine learning
Experience: Nvidia (summer’21, fall’21, summer’22)
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
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)
Master Students
Muhammed Alimi
Fall 2023–present
Research: TBD
Ting-Kuo Chen
Spring 2024–present
Research: TBD
Undergraduate Students
Elmir Dzaka
Spring 2022–present
Research: Parallel logic simulation algorithms
Alumni
Guannan Guo
ECE PhD 2023 (co-supervised with Prof Wong at UIUC)
Research: Parallel and heterogeneous algorithms for static timing analysis
McKay Mower
ECE Master 2023
Research: Graph neural network, performance modeling
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, etc.
