Open Positions!

We are looking for highly self-motivated PhD, MS, and undergraduate students joining us, doing research on parallel and heterogeneous computing, electronic design automation, and machine learning computing algorithms. Please email Prof Huang your resume and research interest (see our Research and Why Join Our Team?).


Tsung-Wei Huang

Assistant Professor, Department of ECE
University of Utah, Salt Lake City, UT, USA, 84112
Office: 2124 Merrill Engineering Building (MEB)

Bio Dr. Huang is an assistant professor in the ECE Department at the University of Utah. He received his PhD from the ECE Department at the University of Illinois at Urbana-Champaign. His research streamlines the building of high-performance computing applications, including scientific computing, machine learning, and design automation. He has created several open-source software (e.g., Taskflow, OpenTimer) that is being used by many people.

Dr. Huang receives several awards for his research contributions, including ACM SIGDA Outstanding PhD Dissertation Award, NSF CAREER Award, and Humboldt Research Fellowship Award.

PhD Students

Guannan Guo

Fall 2017–present (co-supervised with Prof Wong at UIUC)

Research: Parallel and heterogeneous algorithms for static timing analysis

Intern: Cadence (summer’19), IBM (summer’21)

Dian-Lun Lin (Luan)

Spring 2020–present

Research: GPU-accelerated logic simulation and machine learning

Intern: Nvidia (summer’21, summer’22)

Cheng-Hsiang Chiu

Fall 2020–present

Research: Parallel programming models and system runtimes

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

Che Chang (Randy)

Spring 2022–present

Research: Parallel verification and constraint-solving algorithms

Intern: Intel (summer’22)

Wan-Luan Lee

Spring 2022–present

Research: Parallel and heterogeneous computing algorithms

Intern: Synopsys (summer’22)

This could be you !

Please email Prof Huang your resume and research interest.

Undergraduate Students

Elmir Dzaka

Spring 2022–present

Research: Parallel logic simulation algorithms

Luke Majors

Summer 2021

Research: Graph algorithms

McKay Mower

Summer 2021

Research: Graph algorithms

This could be you !

Please email Prof Huang your resume and research interest.


Yasin Zamani

Fall 2020–2021 (ECE Master)

Research: GPU programming, static timing anlaysis

Work Experience: 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.