Academic Profile

Academic Profile

Assoc Prof Chang Chip Hong

Associate Professor, School of Electrical & Electronic Engineering

Email: echchang@ntu.edu.sg
Assoc Prof Chang Chip Hong

Biography
Chip Hong Chang received the B.Eng. (Hons.) degree from the National University of Singapore, in 1989, and the M. Eng. and Ph.D. degrees from Nanyang Technological University (NTU), Singapore, in 1993 and 1998, respectively. He served as a Technical Consultant in industry prior to joining the School of Electrical and Electronic Engineering (EEE), NTU, in 1999, where he is currently an Associate Professor. He holds joint appointments with the university as Assistant Chair of Alumni of the School of EEE from June 2008 to May 2014, Deputy Director of the 100-strong Center for High Performance Embedded Systems from 2000 to 2011, and Program Director of the Center for Integrated Circuits and Systems from 2003 to 2009. He has coedited five books, published 13 book chapters, more than 100 international journal papers (two-thirds are IEEE) and more than 180 refereed international conference papers. His research interests are hardware security, residue and unconventional number systems, low-power arithmetic circuits, digital filter design and digital image processing. He has delivered several keynotes and more than 30 invited colloquia, including tutorials at the 2017 Asia and South Pacific Design Automation Conference (ASP-DAC 2017) and 2017 IEEE International Symposium on Circuits and Systems (ISCAS 2017). He is the recipient of the 2006 NTU Research Outstanding and Award Recognition Scheme, the 2007 British High Commission Collaboration Development Award for Microelectronics and Embedded Systems and the 2007 Canada Microsystems Strategic Alliance of Quebec Collaboration Development Award, co-recipient of the PrimeAsia-2010 Gold Leaf and Silver Leaf Certificates, and coauthor of the finalist of AsianHOST 2019 best paper award, AsianHOST 2017 Cisco best paper award, ISCAS 2015 best student paper award competition and VLSI 95 best paper award.

Dr. Chang has served as Associate Editor for the IEEE Transactions on Circuits and Systems-I since 2020, from 2010–2012, IEEE Transactions on Very Large Scale Integration (VLSI) Systems since January 2011, IEEE Access from March 2013 to December 20, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems from January 2016 to December 2019, IEEE Transactions on Information Forensic and Security since January 2016, Springer Journal of Hardware and System Security since June 2016, Microelectronics Journal since May 2014, Integration, the VLSI Journal from 2013 to 2015, Editorial Advisory Board Member of the Open Electrical and Electronic Engineering Journal from 2007 to 2013, and the Editorial Board Member of the Journal of Electrical and Computer Engineering from 2008 to 2014. He also guest edited several journal special issues (including IEEE Transactions on Circuits and Systems-I and IEEE Transactions on Dependable and Secure Computing and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems) and served in the organizing and technical program committees of more than 60 international conferences (mostly IEEE). He has served in the 2019 and 2020 IEEE CASS Fellow Elevation Committee and 2020 IEEE CASS Distinguished Lecture Program Selection Committee.He is a Fellow of the IEEE and the IET, and an IEEE Circuits and Systems Society Distinguished Lecturer 2018-2019.
Research Interests
Assoc. Professor Chang current research interests are Hardware Security, Residue Number Systems, Low-power, Low-voltage and Fault-tolerant Arithmetic Circuits, Design Automation of VLSI Digital Circuits and Application-specific Digital Signal Processing Algorithm and Architectures.
Current Projects
  • Algorithms and Architectures For a High Rate WPAN Based System
  • Physical Layer Authentication of Digital Content and Content Originator for Trust Assurance in Wireless Remote Monitoring
  • Security, Reliability and Privacy of Modern Hardware Accelerators and Co-processors for Edge Implementation of Deep Learning Models
Selected Publications

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