Dr. Yang Hu joined the Electrical Engineering department at UT Dallas in September 2017. He earned his PhD degree from the Department of Electrical and Computer Engineering, University of Florida, in Summer 2017. He earned his MS degree from Tsinghua University and BE degree from Tianjin University. 


Dr. Hu’s research interests include data center scale computing, sustainable computing, power/energy-efficient computing, architectural support for network system, and heterogeneous architectural support for deep learning. Currently, he is actively working on architectural support for autonomous driving/vehicles and cloud-native systems. He has published over ten papers at top-tier conferences and journals including ISCA, MICRO, HPCA, ASPLOS, SC, IEEE TPDS, IEEE TC and PACT, RTAS, DSN, ICS, ICCD, ISPASS, etc. His research has been recognized with the best paper awards at IEEE CAL 2015 and the best paper nominee at HPCA 2017 and HPCA 2018. He is an awardee of NSF CAREER 2020. 


Dr. Hu serves as program committee members for major conferences such as DAC, ICDCS, IWQoS, ISPASS, and ICPP, and external PC for major computer architecture and system conferences such as HPCA and ISCA. He also serves as a reviewer for major journals such as IEEE TPDS, IEEE TC, and ACM CSUR. He is the organizer of HPCA 2019 workshop "Architecture and System support for Autonomous Devices".



Architectural Support for Autonomous Driving

2011 - 2017

University of Florida

Ph.D. Electrical and Computer Engineering

Architectural Support for NFV

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Datacenter-scale Computing

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Architectural Support for Deep Learning

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2008 - 2011

Tsinghua University

M.S. Micro-electronics/nano-electronics

2003 - 2007

Tianjin University

B.E. Electronics and Information Engineering