Hang Liu

Dr. Hang Liu joined the department of Electrical and Computer Engineering at Rutgers, the state university of New Jersey, as an assistant professor in the Spring of 2023. Before that, he was an assistant professor at the Stevens Institute of Technology (2019 - 2022) and the University of Massachusetts Lowell (2017 - 2019). His research exploits powerful hardware resources, e.g., Graphics Processing Unit (GPU), Field-Programmable Gate Array (FPGA), and Solid-State Drive (SSD), to build high-performance systems for graph analytics, machine learning, and numerical methods. He received his Ph.D. degree from George Washington University (2017) and his B.E. degree from Huazhong University of Science and Technology (2011).

He is the recipient of the prestigious IEEE CS TCHPC Early Career Researchers Award for Excellence in High-Performance Computing (2022), NSF Early CAREER Award (2021), Presidential Fellowship (Stevens, 2022 - 2025), Provost Early Career Award for Research Excellence (Stevens, 2022), 3rd Prize at the 2022 Ansary Entrepreneurship Competition (Senior Design, Role: Advisor), Champion of AWS/MIT GraphChallenge Competition (2018 and 2019),  ECE Outstanding Research Award (Stevens, 2021), Excellence Teaching Evaluation Award (Stevens, 2020 and 2022), Lawrence Berkeley National Laboratory SRP Fellowship (2019 and 2021), One of the Best Papers in VLDB 2020, NSF CRII Award (2019), Best Dissertation Award of Electrical and Computer Engineering at the George Washington University (2018), Phillip/Temofel Sprawcew Endowment Scholarship (2016), and No. 1 Most Energy Efficient Graph Traversal at GreenGraph 500 (Small Graph Category, 2015).

•    High-Performance Computing
•    Graph Analytics
•    Machine Learning
•    Numerical Methods

• Ph.D., Electrical and Computer Engineering, George Washington University, 2017
• B.E. Software Engineering, Huazhong University of Science and Technology, 2011