Jiajun was a post-doctoral scientist in HPCAT, working on accelerator designs for machine learning applications and computational finance. His research interests focus on high performance and energy-efficient computing, including domain-specific accelerators, heterogeneous architectures and parallel/distributed systems. He is currently an Assistant Professor at Beihang University, China
Lei Yang was a post-doctoral scientist in HPCAT, working on application-aware efficient Network-on-Chip (NoC) design for high-performance and low-power heterogeneous many-core systems. Her research interests include optimization on computation and communication for NoC-based many-core systems, non-volatile memory based many-core system design. She is currently an Assistant Professor at George Mason University.
Hao's research interests are in the areas of computer architecture and on-chip interconnect, with a focus on power-efficient on-chip interconnect designs (e.g. power-gating, DVFS), machine learning-based performance optimization, heterogeneous manycore architectures, and chiplet-based system designs. He is currently an Assistant Professor at the University of Central Florida.
Ke’s research area lies on machine learning and NoCs design. The goal is to find an optimized NoC design of high performance, power efficiency and reliability by applying machine learning algorithms. He is currently an Assistant Professor at the University of North Carolina at Charlotte.
Yuechen's research area lies in NoC design and big data application. As NoC performance is critical in multi-core CPU design, he believes, the combination of hardware and software design will deliver high performance.
Yuan Li is working on developing efficient and flexible communication fabric for heterogeneous manycores, domain-specific accelerators, and chiplet-based systems by incorporating network architecture innovations and emerging interconnect technologies such as silicon photonics.
Yingnan Zhao is working on applying machine learning to edge computing. His research aims to
facilitate edge computing with novel architectures and mechanisms.
Jiaqi is a Ph.D. student interested in computer architecture.
Juliana is a GWU alumni with a bachelor's degree in Electrical Engineering. She began working towards a Ph.D. in Computer Engineering in 2022 and is most interested in optical interconnection networks and their applications for NoCs and machine learning.
Parveen is a graduate student interested in computer architecture.
Qian Cai is a first year master student majoring in Computer Engineering. His primary interest is in accelerators for GNNs.
Jasmine is a graduate student interested in computer architecture and machine learning.
Marie-Laure is majoring in Computer Engineering and is graduating with the class of 2019. She is most interested in computer architecture and organization as well as systems.
Sebastian is a Computer Engineering major graduating in 2019. In 2018, he was at NVIDIA, writing systems code for self-driving cars. In 2017 he worked in the Platform Engineering Group at Intel. His interests are systems and computer architecture.
Sophia Martinez is a second year student majoring in Computer Engineering. Although she is just starting to learn the basics, she is mostly interested in Computer Organization and Architecture
Parmvir assists the laboratory in researching Network-on-Chips (NoCs) via tools such as WinMIPS. In addition, he aids the Graduate Research Assistants by maintaining a database of the sources.
Jonathan assists the laboratory in researching computer architecture and maintaining lab website.
Isaac is an undergraduate student interested in computer architecture.
Department of Electrical and Computer Enginnering
School of Engineering and Applied Science
The George Washington University
800 22nd Street NW
Washington, DC 20052
United States of America
Ahmed Louri, IEEE Fellow
David and Marilyn Karlgaard Endowed Chair Professor of ECE
Director, HPCAT Lab
Email: louri@gwu.edu
Phone: +1 (202) 994 8241
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