ABOUT ME

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 and PACT, DSN, ICS, ISPASS, etc. His research has been recognized with best paper awards at IEEE CAL 2015 and best paper nominee at HPCA 2017 and HPCA 2018.

 

Dr. Hu serves as program committee for major conferences such as DAC 2019, ICDCS 2018/2019, IWQoS 2019, and external PC for major computer architecture and system conferences such as HPCA 2018/2019, ISCA 2019. 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".

EDUCATION

RESEARCH INTERESTS

Datacenter-scale Computing

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2011 - 2017

University of Florida

Ph.D. Electrical and Computer Engineering

Architectural Support for NFV

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Cloud 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

The University of Texas at Dallas

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