Keynote Speakers

Professor (Kit) Kai-Kit Wong
IEEE Fellow, IET Fellow
University College London, UK

Biography: Kai-Kit Wong received the BEng, the MPhil, and the PhD degrees, all in Electrical and Electronic Engineering, from the Hong Kong University of Science and Technology (HKUST), Hong Kong, in 1996, 1998, and 2001, respectively. His PhD thesis was on multiuser MIMO wireless communications, supervised by Professor Ross Murch (Primary Supervisor) and Professor Khaled Ben Letaief (Co-Supervisor). After graduation, he joined the Department of Electrical and Electronic Engineering, the University of Hong Kong as a Research Assistant Professor, working closely with Professor Tung-Sang Ng. From July 2003 to December 2003, he visited the Wireless Communications Research Department of Lucent Technologies, Bell-Labs, Holmdel, NJ, U.S., to study the optimization in broadcast MIMO channels, under the supervision of Dr. G. J. Foschini and Dr. R. Valenzuela. After that, he then joined the Smart Antennas Research Group of Stanford University as Visiting Assistant Professor conducting research on overloaded MIMO signal processing, under the supervision of Professor Arogyaswami Paulraj. From 2005 to August 2006, he was with the Department of Engineering, the University of Hull, U.K., as Communications Lecturer. Since August 2006, he has been with University College London, first at Adastral Park Campus and at present the Department of Electronic and Electrical Engineering, where he is Professor of Wireless Communications.

Prof. Arumugam Nallanathan
IEEE Fellow, IET Fellow
Queen Mary University of London, UK

Biography: Arumugam Nallanathan is Professor of Wireless Communications and the founding head of the Communication Systems Research (CSR) group in the School of Electronic Engineering and Computer Science at Queen Mary University of London since September 2017. He was with the Department of Informatics at King’s College London from December 2007 to August 2017, where he was Professor of Wireless Communications from April 2013 to August 2017. He was an Assistant Professor in the Department of Electrical and Computer Engineering, National University of Singapore from August 2000 to December 2007. His research interests include 6G Wireless Networks, Internet of Things (IoT) and Molecular Communications. He published more than 500 technical papers in scientific journals and international conferences. He is a co-recipient of the Best Paper Awards presented at the IEEE International Conference on Communications 2016 (ICC’2016), IEEE Global Communications Conference 2017 (GLOBECOM’2017) and IEEE Vehicular Technology Conference 2017 (VTC’2017). He is an Editor-at-Large for IEEE Transactions on Communications and a senior editor for IEEE Wireless Communications Letters. He was an Editor for IEEE Transactions on Wireless Communications (2006-2011), IEEE Transactions on Vehicular Technology (2006-2017), IEEE Signal Processing Letters and a Guest Editor for IEEE Journal on Selected Areas in Communications (JSAC). He served as the Chair for the Signal Processing and Computing for Communications (SPCC-TC) of IEEE Communications Society and Technical Program Chair and member of Technical Program Committees in numerous IEEE conferences. He received the IEEE Communications Society SPCE outstanding service award 2012 and IEEE Communications Society RCC outstanding service award 2014. He has been selected as a Web of Science (ISI) Highly Cited Researcher in 2016. He is an IEEE Fellow and IEEE Distinguished Lecturer.

Prof. Chip-Hong Chang
IEEE Fellow
Nanyang Technological University, Singapore

Biography: Chip Hong Chang is a Professor at the Nanyang Technological University (NTU) of Singapore. He held concurrent appointments at NTU as Assistant Chair of Alumni of the School of EEE from 2008 to 2014, Deputy Director of the 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 was conferred the Venus International Foundation 2022 Science and Technology Award (VISTA 2022) of Excellence in Hardware Security. He has coedited six books, and have published 13 book chapters, more than 100 international journal papers (>80 are in IEEE), around 200 refereed international conference papers (mostly in IEEE), and have delivered over 50 keynotes, tutorial and invited seminars. His current research interests include hardware security, AI security, biometric security, trustworthy sensing and hardware accelerators for post-quantum cryptography and edge computational intelligence.

Dr. Chang currently serves as the Senior Area Editor of IEEE Transactions on Information Forensic and Security, and Associate Editor of the IEEE Transactions on Circuits and Systems-I and IEEE Transactions on Very Large Scale Integration (VLSI) Systems. He also served as the Associate Editor of the IEEE Transactions on Information Forensic and Security and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems from 2016 to 2019, IEEE Access from 2013 to 2019, IEEE Transactions on Circuits and Systems-I from 2010 to 2013, Integration, the VLSI Journal from 2013 to 2015, Springer Journal of Hardware and System Security from 2016 to 2020 and Microelectronics Journal from 2014 to 2020. He served in the organizing and technical program committee of more than 70 international conferences (mostly IEEE). He is an IEEE Fellow, IET Fellow, AAIA Fellow and 2018-2019 Distinguished Lecturer of IEEE Circuits and Systems Society.

Title: Trustworthy Sensing for Internet of Video Things

Abstract: Vision sensors are ubiquitous. It is predicted that by 2030, there will be around 13 billion cameras and 1 exabyte of data generated every day. With the rapid growth of the Internet of Video Things (IoVT), more smart applications are anticipated to be evolved around the intelligent integration of smart visual sensing and pervasive networking. The networking and accessibility of video things also pose new challenges in digital forensic, on-device data security and privacy protection in edge and fog computing. Provably secure cryptographic algorithms secure mainly the communication channels, which are inadequate against the emerging attacks that exploit the anonymity and implementation vulnerabilities of vision-enabled endpoints. Device identification based on cryptographic primitives requires the safekeeping of an on-device secret binary key. The latter is vulnerable to various kinds of invasive, semi-invasive and side channel attacks, particularly when the device is physically accessible. Existing trust credentials also provide no link between the data and its provenance. Physical Unclonable Function (PUF) is a key-less hardware security primitive. The secret is built intrinsically into the device structure by uncontrollable manufacturing process variations of nano-scale integrated circuits. PUFs offer promising new opportunities to assure end point security against the imminent risk of sensor and data analytic attacks. This talk will present solutions that derive non-repudiable provenance proof from the unification of PUF responses and biometrics or other data analytic based security parameters. The presented end-point authentication schemes of PUF-based user-device hash, data-device hash and event-driven hash show that PUF can be endowed with the capability to not only identifying the image sensor, but also assuring the integrity of the data that it generated or acquired, and authenticating the users who have privileged access to the device and its data.