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YU (), Hao ()

Assistant Professor

School of Electrical and Electronic Engineering
Nanyang Technological University

 


Office: S1-B1-C-85
50 Nanyang Avenue, Singapore 639798
Tel: 65+6790 4509
Fax: 65+6793 3318
Email: haoyu at ntu dot edu dot sg

 


Biography

Dr. Yu obtained his B.S. degree from Fudan University (Shanghai China) in 1999, with 4-year first-prize Guanghua scholarship (top-2) and 1-year Samsung scholarship for the outstanding student in science and engineering (top-1). After selected by mini-cuspea program, he spent some time in New York University, and obtained M.S/Ph. D degrees both from electrical engineering department at UCLA in 2007, with major of integrated circuit and embedded computing. He was a senior research staff at Berkeley Design Automation (BDA) since 2006, one of top-100 start-ups selected by Red-herrings at Silicon Valley. Since October 2009, he is an assistant professor at school of electrical and electronic engineering, and also as area director of VIRTUS IC Design, VALENS Biomedical Research Center, as well as IoT Cluster Director of Energy Research Institute, Nanyang Technological University (NTU), Singapore.

 

Dr. Yu has 179 peer-reviewed and referred publications [conference (121) and journal (58)], 5 books, 6 book chapters, 1 best paper award in ACM Transactions on Design Automation of Electronic Systems (TODAES), 1 Springer PhD thesis award (advisor), 3 best paper award nominations (DAC’06, ICCAD’06, ASP-DAC’12), 3 student paper competition finalists (SiRF’13, RFIC’13, IMS’15), 2 keynote talks, 1 inventor award from semiconductor research cooperation (SRC), and 20 granted patents. He is in editor board of VLSI Integration, Journal of low power electronics and guest editor of JCSC, reviewer of IEEE JSSC, TED, TMTT, TNANO, TCAS-I/II, TC, DTC, TCAD, TVLSI, ACM-TODAEs, technical program committee member of several conferences (DAC’15-16, DATE’15-16, ICCAD’10-12, ISLPED’13-15, ASP-DAC’11-13’15-16, A-SSCC’13-16, ICCD’11-13, ISCAS’10-13, RFIT’15,IWS’13-14, NANOARCH’12-13, ISQED’09). His main research interest is about smart energy-efficient data analytics, links and sensors with multi-million government and industry funding. His industry work at BDA is also recognized with an EDN magazine innovation award and multi-million venture capital funding. He is a senior member of IEEE and member of ACM.

 


Group Website

NTU CMOS Emerging Technology Group: http://www.ntucmosetgp.net.


Research

R1.

3D-IC and THz interconnect;

R2.

In-memory accelerator for online machine learning;

R3.

Multi-modal (pH, image, THz) sensor for personalized biomedical diagnosis;    

 

 


Teaching

T1.

EE2004 Digital Electronics (Fall 2012-2015, 800#)

T2.

EE3003 Analog and Digital Integrated Circuits (Spring 2010-2013, 200#)

T3.

EE3072 VHDL Design Project (Fall/Spring 2010-2013, 200#)

T4.

EE4340 VLSI System Design (Spring 2011-2012, 30#)

T5.

NM6002 Analog Integrated Circuits (Fall 2010, 30#)


Publication (selected list) (full list)


Last Updated 01/06/2014

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