|
LAM,
Kwok Yan BSc
London, PhD Cambridge Associate
Vice President (Strategy and Partnerships), President’s Office Professor,
School of Computer Science and Engineering Nanyang
Technological University, Singapore Email: kwokyan.lam@ntu.edu.sg |
Professor Lam is the Associate Vice President
(Strategy and Partnerships) and Professor in the School of Computer Science and
Engineering at the Nanyang Technological University (NTU), Singapore. He is
currently also the Executive Director of the National Centre for Research in
Digital Trust (DTC), Director of the Strategic Centre for Research in
Privacy-Preserving Technologies and Systems (SCRiPTS), and Director of NTU’s
SPIRIT Smart Nation Research Centre. From August 2020, Professor Lam is
also on part-time secondment to the INTERPOL as a Consultant at Cyber and New
Technology Innovation. He served as the Director of the Nanyang
Technopreneurship Center 2019-2022, and as Program Chair (Secure Community) of
the Graduate College at NTU 2017-2019. Professor
Lam has been a Professor of the Tsinghua University, PR China (2002-2010) and a
faculty member of the National University of Singapore and the University of
London since 1990. He was a visiting scientist at the Isaac Newton Institute of
the Cambridge University and a visiting professor at the European Institute for
Systems Security. In 2018, Professor Lam founded TAU Express Pte Ltd, an NTU
start-up which specializes in AI and Data Analytics technologies for Smart
Cities applications. TAU is a spin-off of the Intelligent Case Retrieval System
project, a collaboration between NTU and the Singapore Supreme Court. In 1997,
he founded PrivyLink International Ltd, a spin-off company of the National
University of Singapore, specializing in e-security technologies for homeland
security and financial systems. In 2012, he co-founded Soda Pte Ltd which won
the Most Innovative Start Up Award at the RSA 2015 Conference. In 1998, he
received the Singapore Foundation Award from the Japanese Chamber of Commerce
and Industry in recognition of his R&D achievement in Information Security
in Singapore. Prof Lam received his
B.Sc. (First Class Honours) from the University of London in 1987 and his Ph.D.
from the University of Cambridge in 1990. His research interests include
Distributed Systems, IoT Security Infrastructure and Cyber-Physical System
Security, Distributed Protocols for Blockchain, Biometric Cryptography, Quantum
Computing, Homeland Security and Cybersecurity. In 2020, he authored a
Technical Report on the “Application of Quantum Computers for Law Enforcement
and Security Communications” for a Singapore Government ministry. Professor Lam
is the recipient of the 2022 Singapore Cybersecurity Hall of Fame Award.
·
Special Issue on “Cognitive and Intelligent
Internet-of-Things for 5G-Enabled Smart City”, IEEE Wireless Communications (CFP
Deadline for manuscripts submission January 15, 2021 -
Closed).
·
Special
Issue on “Advances and Challenges in Satellite-Based Industrial
Internet-of-Things”, IEEE Transactions on Industrial Informatics (CFP
Deadline for manuscripts
submission extended to January 31, 2020 - Closed).
·
2022- ,
Associate Vice President (Strategy and Partnerships), President’s Office, NTU
·
2022-,
Executive Director, National Centre for Research in Digital Trust (DTC)
·
2020- ,
Consultant on Cyber and New Technologies, INTERPOL
·
2015- ,
Professor, School of Computer Science & Engineering, NTU
·
2019-2022 ,
Director, Nanyang Technopreneurship Center, NTU
·
2002-2010,
Professor, School of Software, Tsinghua University, China
·
1997-2002,
Associate Professor, National University of Singapore
·
1995-1997,
Senior Lecturer, National University of Singapore
·
1992-1995,
Lecturer, National University of Singapore
·
1990-1992,
Lecturer, Royal Holloway, University of London
·
1987-1990,
Ph.D., Computer Laboratory, University of Cambridge, U.K.
·
1984-1987,
B.Sc. in Computer Science (First Class Honours), University of London, U.K.
· Asia’s Most Influential
Scientist Award, Fortune Times, 2022.
· Singapore Cybersecurity Hall
of Fame Award, Association of Information Security Professionals, 2022.
· SPRING Singapore Merit
Award, SPRING Singapore, 2016
· Most Innovative Start-Up
Award, RSA Conference, 2015
· Singapore Foundation Award
(Research & Development), Japanese Chamber of Commerce and Industry, 1995
· Cambridge Hong Kong
Scholarship, Cambridge Commonwealth Trust, 1987-1990
· Overseas Research Student
Award, British Government, 1987-1990
·
Coach (Future of Policing and Criminal Investigations), 2nd
INTERPOL Young Global Police Leaders Programme (YGPLP), Dubai, United Arab Emirates,
13-17 March 2022.
·
Member, Cross Border Data Management Experts Panel, Singapore-China
(Shenzhen) Smart City Initiative (SCI), June 2020 –.
·
Steering Committee Member, National Satellite of Excellence (NSoE)
Steering Committee in Design Science & Technology for Secure Critical
Infrastructure (DeST-SCI), Singapore University of Technology and Design, 1
July 2019 – 30 June 2022.
·
Independent Reviewer, Dutch Research Council (NWO), August 2019.
·
External Reviewer, Research Grants Council (RGC) of Hong Kong, February
2019.
·
Guest Editor, IEEE Wireless Communications (Special Issue on “Cognitive
and Intelligent Internet-of-Things for 5G-Enabled Smart City”), 2020-2021.
·
Guest Editor, IEEE Transactions on
Industrial Informatics (Special Issue on “Advances and Challenges in
Satellite-Based Industrial Internet-of-Things”), 2019-2020.
·
Chair, Cyber Security WG, SDE Technology Roadmap, Infocomm and Media
Development Authority, Singapore, 2018 – 2019
·
Technical Committee Member, SDE Technology Roadmap, Infocomm and Media
Development Authority, Singapore, 2018 – 2019
·
Reviewer for Journal, Nature
·
Reviewer for ACM Computing Surveys
·
Reviewer for IEEE Transactions on Communications
·
Reviewer for IEEE Systems Journal
·
Reviewer for IEEE Wireless Communications Magazine
·
Reviewer for IEEE Network Magazine
·
Reviewer for IEEE Computer Magazine
·
Reviewer for IEEE Internet of Things Journal
·
Reviewer for IEEE Access
·
Reviewer for IEEE Transactions on Circuits and Systems for Video
Technology
·
Reviewer for IEEE Transactions on Aerospace and Electronic Systems
·
Reviewer for IEEE Transactions on Cognitive Communications and
Networking
·
Reviewer for IEEE Journal of Emerging and Selected Topics in Power
Electronics
·
Reviewer for IEEE Transactions on Industrial Informatics
·
Reviewer for IEEE Transactions on Vehicular Technology
·
Reviewer for IEEE Transactions on Intelligent Transportation Systems
·
Reviewer for IET Radar, Sonar and Navigation
·
Reviewer for Journal of Parallel and Distributed Computing
·
Reviewer for Journal, Computers and Security
·
Reviewer for International Journal of Critical Infrastructure
Protection
·
External Examiner for Master of Data Science, The University of Hong
Kong, 2019-2020.
·
External Examiner for Bachelor of Computer Science (Cyber Security)
(Hons.) Programme, College of Computer Science and Information Technology,
Universiti Tenaga Nasional (UNITEN, Malaysia, January 2018 – December 2019
·
External Reviewer, Singapore Ministry of Education (MOE) Innovation
Fund Evaluation Panel (IFEP), August 2017
·
Principal Investigator, Spectrum Optimization and Mobility Management
for LEO Satellite Internet-of-Things ($988,000), Funded by SUTD Future
Communications Research & Development Programme (FCP), November 2022 –
April 2025.
·
Lead Principal Investigator, National Centre for Research in Digital
Trust, funded by Infocomm and Media Development Authority (S$50,000,000),
October 2022 – September 2027.
·
Lead Principal Investigator, Strategic Centre for Research in
Privacy-Preserving Technologies & Systems, top-up funding by Infocomm and
Media Development Authority (S$5,300,000), April 2021 – March 2025.
· Lead Principal Investigator, TRANS Lab SPIRIT Phase 2,
Translational R&D for Application to Smart Nation & Digital Government
($12,000,000), April 2021-March 2025.
· Principal Investigator, Smart Nation
Internet-of-Things System Threat Analytics, funded by Cyber Security Agency of
Singapore, Ministry of Communications and Information ($4,467,400), March 2021
– March 2024.
·
Lead Principal Investigator, Strategic Centre for Research in
Privacy-Preserving Technologies & Systems, funded by Infocomm and Media
Development Authority (S$10,000,000), November 2018 – October 2023.
·
Principal Investigator, Smart Nation IoT Security Reference
Architecture Study, funded by Cyber Security Agency of Singapore, Ministry of
Communications and Information (S$780,000), May 2018 – December 2020.
·
Co-Lead Principal Investigator, Risk Assessment for Industrial Control
Systems, National Cybersecurity R&D (NCR) Grant Call 2016, funded by
National Research Foundation (S$1,211,520), October 2017 – September 2019.
·
Co-Lead Principal Investigator, Cybersecurity Protocol and Mechanism
for e-Logistics of Dangerous Goods Tracking Using Blockchain, National
Cybersecurity R&D (NCR) Grant Call 2016, funded by National Research
Foundation (S$989,280), September 2017 – August 2019.
·
Principal Investigator, ExPReSS: Extensible Platform for Retrieval and
Summarization Support, NTUITIVE GAP FUND GRANT (S$250,000), July 2017 – March
2019.
·
Lead Principal Investigator, Smart Platform Infrastructure Research on
Integrative Technologies (SPIRIT), Translational R&D for Application to
Smart Nation, funded by National Research Foundation (S$11,000,000), September
2016 – March 2021.
Journal
1.
Q. Li, X. Wang,
Q. Pei, X. Chen and K.Y. Lam. “Consistency preserving database
watermarking algorithm for decision trees”, Digital Communications and Networks
(2023), Elsevier, DOI: https://doi.org/10.1016/j.dcan.2022.12.015.
2.
M. Yang, I.
Tjuawinata, K.Y. Lam, T. Zhu, J. Zhao. “Differentially Private
Distributed Frequency Estimation”, IEEE Transactions on Dependable and Secure
Computing, IEEE, doi: 10.1109/TDSC.2022.3227654.
3.
T. Zhang, K.Y.
Lam, J. Zhao, F. Li, H. Han, N. Jamil. “Enhancing Federated Learning with
spectrum allocation optimization and device selection”, IEEE/ACM Transactions
on Networking, IEEE, DOI: 10.1109/TNET.2022.3231986.
4.
M. Yang, K.Y.
Lam, T. Zhu and C. Tang. “SPoFC: A framework for stream data aggregation
with local differential privacy”, Concurrency and Computation: Practice and
Experience, Wiley, https://doi.org/10.1002/cpe.7572.
5.
F. Li, L. Sun, K.Y.
Lam, S. Zhang, Z. Sun, B. Peng, H. Xu and L. Zhang. “Segmentation of Human
Aorta Using 3D nnU-Net-Oriented Deep Learning”, Review of Scientific
Instruments, AIP Publishing, DOI: 10.1063/5.0084433.
6. F. Li, Z. Sun, K.Y. Lam, S. Zhang, L. Sun and L. Wang. “Reputation-Based Power Allocation for NOMA Cognitive Radio Networks”, Wireless Network, Springer US, DOI: 10.1007/s11276-022-03139-x.
7.
K.L. Tan, C.H.
Chi and K.Y. Lam. “Secure and Privacy-Preserving Sharing of Personal
Health Records with Multi-Party Pre-Authorization Verification”, Wireless
Network, Springer US, 2022, DOI: 10.1007/s11276-022-03114-6.
8.
H. Yang, K.Y.
Lam, L. Xiao, Z. Xiong, H. Hu, D. Niyato and H.V. Poor. “Lead Federated
Neuromorphic Learning for Wireless Edge Artificial Intelligence”, Nature
Communications, Springer, DOI:
10.1038/s41467-022-32020-W (https://www.nature.com/articles/s41467-022-32020-w.pdf).
9. Z. Liu, J. Guo, W. Yang, J. Fan, K.Y. Lam and J. Zhao. “Privacy-Preserving Aggregation in Federated Learning: A Survey”, IEEE Transactions on Big Data, IEEE, DOI: 10.1109/TBDATA.2022.3190835.
10.
Q. Li, X. Wang,
Q. Pei, K.Y. Lam, N. Zhang, M. Dong and V. Leung. “Database Watermarking
Algorithm based on Decision Tree Shift Correction”, IEEE Internet of Things
Journal, IEEE, Volume 9, Issue 23, pp. 24373-24387, December 2022, DOI: 10.1109/JIOT.2022.3188631.
11. Y. Sun, H. Xiong, S.M. Yiu and K.Y. Lam. “BitAnalysis: A Visualization System for Bitcoin Wallet Investigation”, IEEE Transactions on Big Data, IEEE, DOI: 10.1109/TBDATA.2022.3188660.
12. M. Yang, I. Tjuawinata, K.Y. Lam. “K-means clustering with local dχ-privacy for privacy-preserving data analysis”, IEEE Transactions on Information Forensics & Security, IEEE, Vol. 17, pp. 2524-2537, 2022, DOI: 10.1109/TIFS.2022.3189532.
13.
Z. Li, R. Cao, H.
Li, K.Y. Lam, Y. Hu and A. Kot. “One-Class Knowledge Distillation for
Face Presentation Attack Detection", IEEE Transactions on Information
Forensics & Security, IEEE, Vol. 17, pp. 2137-2150, May 2022,
DOI:10.1109/TIFS.2022.3178240.
14. F. Li, B. Shen, J. Guo, K.Y. Lam, G. Wei and L.
Wang. “Dynamic Spectrum Access for Internet-of-Things Based on Federated Deep
Reinforcement Learning”, IEEE Transactions on Vehicular Technology, IEEE,
Volume 71, Issue 7, pp. 7952-7956, DOI: 10.1109/TVT.2022.3166535.
15. Z. Liu, J. Guo, K.Y. Lam and J. Zhao. “Efficient
Dropout-resilient Aggregation for Privacy-preserving Machine Learning”, IEEE
Transactions on Information Forensics & Security, IEEE, DOI:
10.1109/TIFS.2022.3163592.
16. H. Yang, J. Zhao, K.Y. Lam, Z. Xiong, Q. Wu and
L. Xiao. “Distributed Deep Reinforcement Learning Based Spectrum and Power
Allocation for Heterogeneous Networks”, IEEE Transactions on Wireless
Communications, IEEE, March 2022, DOI: 10.1109/TWC.2022.3153175.
17. Z. Li, H. Li, X. Luo, Y. Hu, K.Y. Lam and A.
Kot. “Asymmetric Modality Translation For Face Presentation Attack Detection”,
IEEE Transactions on Multimedia, IEEE, October 2021, DOI:
10.1109/TMM.2021.3121140.
18.
J. Li, Y. Li, C.
Cao and K.Y. Lam. “Conditional Anonymous Authentication with
Abuse-Resistant Tracing and Distributed Trust for Internet of Vehicles”, IEEE
Internet of Things Journal, IEEE, Volume 9, Issue 11, pp. 8749-8762, June 2022,
DOI: 10.1109/JIOT.2021.3116422.
19. F. Li, K.Y. Lam, Z. Ni, D. Niyato, X. Liu and L. Wang. “Cognitive Carrier Resource Optimization for Internet-of-Vehicles in 5G-Enhanced Smart Cities”, IEEE Network Magazine, IEEE, September 2021, DOI: 10.1109/MNET.211.2100340.
20.
H. Han, J. Zhao,
W. Zhai, Z. Xiong, D. Niyato, M.Di Renzo, Q-V. Pham, W. Lu and K.Y. Lam.
“Reconfigurable Intelligent Surface Aided Power Control for Physical-Layer
Broadcasting”, IEEE Transactions on Communications, IEEE, August 2021, DOI:
10.1109/TCOMM.2021.3104871.
21.
C. Huang, Y.
Zhao, H. Chen, X. Wang, Q. Zhang, Y. Chen, H.X. Wang and K.Y. Lam.
“zkRep: A Privacy-preserving Scheme for Reputation-based Blockchain System”,
IEEE Internet of Things Journal, IEEE, Volume 9, Issue 6, pp. 4330-4342, March
15 2022, DOI: 10.1109/JIOT.2021.3105273.
22. X. Liu, K.Y. Lam, F. Li, J. Zhao, L. Wang and T.S. Durrani. “Spectrum
Sharing for 6G Integrated Satellite-Terrestrial Communication Networks Based on
NOMA and CR”, IEEE Network Magazine, IEEE, Volume 35, Issue 4, pp. 28-34,
July/August 2021, DOI: 10.1109/MNET.011.2100021.
23.
H. Yang, J. Zhao, Z. Xiong, K.Y.
Lam, S. Sun and L. Xiao. “Privacy-Preserving Federated Learning for
UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management”,
IEEE Journal on Selected Areas in Communications, IEEE,
Volume 39, No. 10, pp. 3144-3159, Oct. 2021, DOI: 10.1109/JSAC.2021.3088655.
24.
K.Y. Lam, S. Mitra, F. Gondesen, X.
Yi. “ANT-Centric IoT Security Reference Architecture - Security-by-Design for
Satellite-Enabled Smart Cities”, IEEE Internet of Things Journal, IEEE, April
2021, DOI: 10.1109/JIOT.2021.3073734.
25.
F Li, K.Y. Lam, Z Sheng, W.
Lu, X. Liu and L. Wang. “Agent-Based Spectrum Management Scheme in Satellite
Communication Systems”, IEEE Transactions on Vehicular Technology, IEEE,
February 2021, DOI: 10.1109/TVT.2021.3059837.
26.
X. Li, L. Cheng, C. Sun, K.Y.
Lam, X. Wang and F. Li. “Federated Learning Empowered Collaborative Data
Sharing for Vehicular Edge Networks”, IEEE Network Magazine, IEEE, Volume 35,
Issue 3, pp. 116-124, May/June 2021, DOI: 10.1109/MNET.011.2000558.
27.
Y. Zhao, J. Zhao, J. Kang, Z. Zhang, D. Niyato, S. Shi and K.Y. Lam. “A Blockchain-Based Approach
for Saving and Tracking Differential-Privacy Cost”, IEEE Internet of Things
Journal, IEEE, February 2021, DOI: 10.1109/JIOT.2021.3058209.
28.
M. Yang, I. Tjuawinata, K.Y. Lam,
J. Zhao and L. Sun. “Secure Hot Path Crowdsourcing with Local Differential
Privacy under Fog Computing Architecture”, IEEE Transactions on Services
Computing, IEEE, November 2020, DOI:10.1109/TSC.2020.3039336.
29.
Y. Zhao, J. Zhao, M. Yang, T. Wang, N. Wang, L. Lyu, D. Niyato and K.Y. Lam. “Local Differential Privacy
based Federated Learning for Internet of Things”, IEEE Internet of Things
Journal, IEEE, November 2020, DOI:10.1109/JIOT.2020.3037194.
30.
T. Wang, J. Zhao, Z. Hu, X. Yang, X. Ren and K.Y. Lam. “Local Differential Privacy for Data Collection and
Analysis”, Neurocomputing, Elsevier, October 2020,
https://doi.org/10.1016/j.neucom.2020.09.073.
31.
M.B. Mollah, J. Zhao, D. Niyato, Y.L. Guan, C. Yuen, S. Sun, K.Y. Lam and L.H. Koh. “Blockchain for
the Internet of Vehicles towards Intelligent Transportation Systems: A Survey”,
IEEE Internet of Things Journal, IEEE, Volume 8, Issue 6, pp. 4157 – 4185, March
2021, DOI: 10.1109/JIOT.2020.3028368.
32.
A. Chattopadhyay,
K.Y. Lam and Y. Tavva. “Autonomous
Vehicle: Security by Design”, IEEE Transactions on Intelligent Transportation
Systems, IEEE, Vol. 22, No. 11, pp. 7015-7029, November 2021, DOI:
10.1109/TITS.2020.3000797.
33. L. Wang, K.Y.
Lam, X. Liu and F. Li. “Resource Allocation in Satellite-Based Internet of
Things Using Pattern Search Method”, IEEE Access, IEEE, Volume 8, pp. 110908 –
110914, 2020, DOI: 10.1109/ACCESS.2020.3002834.
34. K.Y. Lam and C. Wilson. “Developing AI for Law Enforcement in
Singapore and Australia”, Communications of the ACM, ACM, 63(4), pp62, April
2020, DOI: 10.1145/3378418.
35. M. B. Mollah, J. Zhao, D. Niyato, K.Y. Lam, X. Zhang, A. Ghias, L.H. Koh, L. Yang. “Blockchain for
Future Smart Grid: A Comprehensive Survey”, IEEE Internet of Things Journal,
IEEE, DOI: 10.1109/JIOT.2020.2993601.
36.
H.Y. Ma, E. Huang and K.Y. Lam.
“Blockchain-based mechanism for fine-grained authorization in data
crowdsourcing”, Future Generation Computer Systems, Elsevier, 106 (2020), pp.
121–134, https://doi.org/10.1016/j.future.2019.12.037.
37.
F. Li, K.Y. Lam, X. Li, Z.
Sheng and L. Wang. “Advances and Emerging Challenges in Cognitive
Internet-of-Things”, IEEE Transactions on Industrial Informatics, IEEE,
November 2019, DOI: 10.1109/TII.2019.2953246.
38.
X. Wang, Z. Na, K.Y. Lam, X.
Liu, Z. Gao, F. Li and L. Wang. “Energy Efficiency Optimization for NOMA-Based
Cognitive Radio With Energy Harvesting”, IEEE Access, IEEE, doi: 10.1109/ACCESS.2019.2940698,
Volume 7, pp. 139172 – 139180, 2019.
39.
F. Li, K.Y. Lam, L. Meng and
L. Wang. “Trading-Based Dynamic Spectrum Access and Allocation in Cognitive
Internet of Things”, IEEE Access, IEEE, Volume 7, pp. 125952 – 125959, doi: 10.1109/ACCESS.2019.2937582.
40.
F. Li, K.Y. Lam, H.W. Chen,
N. Zhao. “Spectral Efficiency Enhancement in Satellite Mobile Communications: A
Game-Theoretical Approach”, IEEE Wireless Communications, IEEE, doi: 10.1109/MWC.001.1900160,
15 October 2019.
41.
F. Li, K.Y. Lam, K. Zhao, M. Jia, X. Li and L.
Wang. “Spectrum Optimization for Satellite Communication Systems with
Heterogeneous User Preferences”, IEEE Systems Journal, IEEE, doi:
10.1109/JSYST.2019.2910230, 26 April 2019.
42.
X. Yi, E.
Bertino, F.Y. Rao, K.Y. Lam, S.
Nepal and A. Bouguettaya. “Privacy-Preserving User Profile Matching in Social
Networks”, IEEE Transactions on Knowledge and Data Engineering, IEEE, doi:
10.1109/TKDE.2019.2912748, 23 April 2019.
43.
X. Yi, Z. Tari,
F. Hao, L.Q. Chen, J. Liu, K.Y. Lam,
X.C., Yang, I. Khalil, A. Zomaya, “Efficient Threshold Password-Authenticated
Secret Sharing Protocols for Cloud Computing”, Journal of Parallel and
Distributed Computing, Springer, https://doi.org/10.1016/j.jpdc.2019.01.013, 15 February 2019.
44.
S. Badsha, X. Yi,
I. Khalil, S. Nepal, D. Liu and K.Y. Lam.
“Privacy Preserving User based Web Service Recommendations”, IEEE Access, IEEE,
Volume 6, Issue 1, December, 2018, DOI 10.1109/ACCESS.2018.2871447.
45.
L. Wang, K.Y. Lam, M. Xiong, F. Li, X. Liu and
J. Wang. “Spectrum Pricing for Cognitive Radio Networks with User's Stochastic
Distribution”, Wireless Networks, Springer US, 16 July 2018, https://doi.org/10.1007/s11276-018-1799-8.
46.
F. Li, K.Y. Lam, J.Y. Hua, K Zhao, N. Zhao and
L. Wang. “Improving Spectrum Management for Satellite Communication Systems
with Hunger Marketing”, IEEE Wireless Communications Letters, IEEE, 17 January
2019, Doi: 10.1109/LWC.2019.2893659.
47.
F. Li, K.Y. Lam, Z. Sheng, X. Zhang, K. Zhao
and L. Wang. “Q-Learning-Based Dynamic Spectrum Access in Cognitive Industrial
Internet of Things”, Wireless Networks and Applications, Springer US, 11
September 2018, DOI 10.1007/s11036-018-1109-9.
48.
L. Wang, K.Y. Lam, M. Xiong, F. Li, X. Liu and
J. Wang. “Spectrum Pricing for Cognitive Radio Networks with User's Stochastic
Distribution”, Wireless Networks, Springer US, 16 July 2018, https://doi.org/10.1007/s11276-018-1799-8.
49.
F. Li, K.Y. Lam, N. Zhao, X. Liu, K. Zhao, and
L. Wang. “Spectrum Trading for Satellite Communication Systems with Dynamic
Bargaining,” IEEE Transactions on Communications, IEEE, Volume 66, Issue 10,
pp. 4680 – 4693, Oct 2018, Doi: 10.1109/TCOMM.2018.2837909.
50.
S. Badsha, X. Yi,
I. Khalil, D. Liu, S. Nepal, E. Bertino and K.Y. Lam. “Privacy Preserving Location-Aware Personalized Web
Service Recommendations”, IEEE Transactions on Services Computing, 22 May 2018,
Doi: 10.1109/TSC.2018.2839587.
51.
F. Li, K.Y. Lam, X. Li, X. Liu, L. Wang and
C.M. Leung. “Dynamic Spectrum Access Networks with Heterogeneous Users: How to
Price the Spectrum?”, IEEE Transactions on Vehicular Technology, IEEE, Volume
67, Issue 6, pp 5203 – 5216, June 2018, Doi: 10.1109/TVT.2018.2818749.
52.
F. Li, K.Y. Lam, L. Wang, Z. Na, X. Liu and Q.
Pan. “Caching Efficiency Enhancement at Wireless Edges with Concerns on User's
Quality of Experience”, Wireless Communications and Mobile Computing, Vol.
2018, Article ID 1680641, 10 pages, 2018. Doi:10.1155/2018/1680641.
53.
F. Li, K.Y. Lam and L. Wang. “Power allocation
in cognitive radio networks over Rayleigh-fading channels with hybrid
intelligent algorithms”, Wireless Networks, Volume 24, Issue 7, pp. 2397 –
2407, Oct 2018. Doi:10.1007/s11276-017-1476-3.
54.
F. Li, X. Liu, K.Y. Lam, Z. Na, J. Hua, J. Wang and L.
Wang. “Spectrum Allocation with Asymmetric Monopoly Model for Multibeam-Based
Cognitive Satellite Networks”, IEEE Access, IEEE, Volume 6, Issue 1, pp. 9713 –
9722, 2018. Doi: 10.1109/ACCESS.2018.2797278.
55.
A. Burg and A.
Chattopadhyay and K.Y. Lam.
“Wireless Communication and Security Issues for Cyber-Physical Systems and the
Internet-of-Things”, Proceedings of the IEEE, IEEE, Volume: 106, Issue: 1,
pp. 38 – 60, Jan. 2018. Doi: 10.1109/JPROC.2017.2780172.
56.
L. Wang, F. Li,
X. Liu, K.Y. Lam, Z. Na and H. Peng.
“Spectrum Optimization for Cognitive Satellite Communications with Cournot Game
Model”, IEEE Access, IEEE, Volume 6, Issue 1, pp. 1624 – 1634, 2018. Doi: 10.1109/ACCESS.2017.2779804.
57.
F. Li, K.Y. Lam, J. Wang, X. Liu, K. Zhao and L.
Wang. “Joint Pricing and Power Allocation for Multibeam Satellite Systems with
Dynamic Game Model”, IEEE Transactions on Vehicular Technology, IEEE, Volume
67, Issue 3, pp. 2398 – 2408, March 2018. Doi: 10.1109/TVT.2017.2771770.
58.
P. Vikramkumar,
A. Chattopadhyay and K.Y. Lam.
“Secure and Lightweight Compressive Sensing using Stream Cipher”, IEEE
Transactions on Circuits and Systems II, IEEE, Volume 65, Issue 3, pp. 371-375,
March 2018. Doi: 10.1109/TCSII.2017.2715659.
Conference
1.
J. Fan, L.K.
Shar, J. Guo, W. Yang, D. Niyato, K.Y. Lam. “Differentiated Security
Architecture for Secure and Efficient Infotainment Data Communication in IoV
Networks”, 16th International Conference on Network and System
Security (NSS) 2022, December 9-12, 2002, Denarau Island, Fiji, Accepted.
2.
Q. Han, J. Zhao
and K.Y. Lam. “Facial Landmark Predictions with Applications to
Metaverse”, 2022 IEEE 8th World Forum on Internet of Things (WF-IOT 2022),
October 26 – November 11, 2022, Yokohama, Japan, Accepted.
3.
B. Huang, Y. Bo, K.Y.
Lam and M. Sheng. “A Multi-task Learning Approach for Predicting Intentions
Using Smart Home IoT Services”, The 20th International Conference on Service
Oriented Computing (ICSOC), November 29 – 2 December 2022, Sevilla, Spain,
Accepted.
4.
C. Chen, Y. Wang,
B. Li and K.Y. Lam. “Knowledge Is Flat: A Seq2Seq Generative Framework
for Various Knowledge Graph Completion”, The 29th International
Conference on Computational Linguistics (COLING 2022), October 12-17, 2022,
Gyeongju, Republic of Korea, Accepted.
5.
P. Si, J. Zhao,
H. Han, K.Y. Lam and L. Yang. “Resource Allocation and Resolution Control
in the Metaverse with Mobile Augmented Reality”, The 2022 IEEE Global
Communications Conference (GLOBECOM 2022), December 4 – 8, 2022, Rio de
Janeiro, Brazil, Accepted.
6.
T. Zhang, Z. Li,
Y. Chen, K.Y. Lam and J. Zhao. “Edge-Cloud Cooperation for DNN Inference
via Reinforcement Learning and Supervised Learning”, The 15th IEEE
International Conference on Internet of Things (iThings-2022), August 22-25,
2022, Espoo, Finland, Accepted.
7.
H. Yang, K.Y.
Lam, J. Nie, J. Zhao, S. Garg, L. Xiao, Z. Xiong and M. Guizani. “3D
Beamforming Based on Deep Learning for Secure Communication in 5G and Beyond
Wireless Networks”, The Fifth IEEE Workshop on 5G and Beyond Wireless Security
(5th Wireless-Sec 2021) held in Conjunction with the 2021 IEEE
Global Communications Conference (GLOBECOM 2021), 2021, pp. 1-6, DOI:
10.1109/GCWkshps52748.2021.9681960. (Winner
of Best Paper Award).
8.
J. Guo, Z. Liu, K.Y.
Lam, J. Zhao and Y. Chen. “Privacy-Enhanced Federated Learning with
Weighted Aggregation”, The 7th International Symposium on Security
and Privacy in Social Networks and Big Data (SocialSec 2021), November 19-21,
2021, Fuzhou, China. https://doi.org/10.1007/978-981-16-7913-1_7.
9. H. Yang, J. Zhao, K.Y. Lam, S. Garg, Q. Wu and Z. Xiong. “Deep Reinforcement Learning Based Resource Allocation for Heterogeneous Networks”, The 17th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2021), 2021, pp. 253-258, DOI: 10.1109/WiMob52687.2021.9606402.
10.
W.Z. Yang and K.Y. Lam. “Effective Anomaly Detection Model
Training with Only Unlabeled Data by Weakly Supervised Learning Techniques”,
The 23rd International Conference on Information and Communications
Security (ICICS 2021), September 17-19, 2021, Chongqing, P.R. China, LNCS, Vol
12918. Springer, Cham. https://doi.org/10.1007/978-3-030-86890-1_23.
11.
H. Yang, J. Zhao, J. Nie, N. Kumar, K.Y. Lam and Z. Xiong,
"UAV-Assisted 5G/6G Networks: Joint Scheduling and Resource Allocation
Based on Asynchronous Reinforcement Learning," IEEE INFOCOM 2021 -
IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2021,
pp. 1-6, doi: 10.1109/INFOCOMWKSHPS51825.2021.9484604.
12. Y. Zhao, J. Zhao, W. Zhai, S. Sun, D. Niyato, K.Y. Lam. “A Survey of 6G Wireless Communications: Emerging Technologies”, Future of Information and Communications Conference (FICC) 2021, April 29-30, 2021, Vancouver, Canada. https://doi.org/10.1007/978-3-030-73100-7_12.
13. H. Yang, Y. Zhao, Z. Xiong, J. Zhao, D. Niyato, K.Y. Lam, Q. Wu. “Deep Reinforcement Learning Based Intelligent Reflecting Surface for Secure Wireless Communications”, GLOBECOM 2020 - 2020 IEEE Global Communications Conference, 2020, pp. 1-6, doi: 10.1109/GLOBECOM42002.2020.9322615.
14.
Y. Huang, F. Wang, A.W.K. Kong and K.Y.
Lam. “New Threats against Object Detector with Non-Local Block”, The 16th
European Conference on Computer Vision (ECCV 2020), 23-28 August 2020, Springer
LNCS 12365. https://doi.org/10.1007/978-3-030-58565-5_29.
15.
F. Gondesen, S. Mitra and K.Y.
Lam. “Feasibility of PUF based Authentication on ATtiny devices with
off-the-shelf SRAM”, The 6th ACM Cyber-Physical System Security
Workshop (CPSS 2020), 6 October 2020, Taipei, Taiwan.
16. F. Li and K.Y.
Lam. “Resource Optimization in Satellite-Based Internet of Things”, The 2nd
International Conference on Artificial Intelligence in Information and
Communication (ICAIIC 2020), February 19-21, 2020, Fukuoka, Japan.
17. W.Z. Yang and K.Y.
Lam. “Automated Cyber Threat Intelligence Reports Classification for Early Warning
of Cyber Attacks in Next Generation SOC”, The 21st International Conference on
Information and Communications Security (ICICS 2019), December 15-17, 2019,
Beijing, P.R. China. (Winner
of Best Student Paper Award).
18. T. Wang, X.
Yang, X. Ren, J. Zhao and K.Y. Lam.
“Adaptive Differentially Private Data Stream Publishing in Spatio-temporal
Monitoring of IoT”, The 38th International Performance Computing and
Communications Conference (IPCCC 2019), 29-31 Oct 2019, London, UK.
DOI: 10.1109/IPCCC47392.2019.8958751.
19. X. Yi, K.Y. Lam, E. Bertino and F.Y. Rao.
“Location Privacy-Preserving Mobile Crowd Sensing with Anonymous Reputation”,
The 24th European Symposium on Research in Computer Security (ESORICS
2019), 23-27 September, 2019, Luxembourg.
20. X. Yi and K.Y. Lam. “A New Blind ECDSA Scheme for
Bitcoin Transaction Anonymity”, The 14th ACM Asia Conference on
Information, Computer and Communications Security (ASIACCS 2019), July 7th
– 2th, 2019, Auckland, New Zealand.
21. Y. Huang, AWK
Kong and K.Y. Lam. “Attacking Object
Detectors without Changing the Target Object”, The 16th Pacific Rim
International Conference on Artificial Intelligence (PRICA 2019), August 26th
– 30th 2019, 2019, Yanuca Island, Cuvu, Fiji.
22. Y.W. Zhao, C.
Wang, C.H. Chi, W-J. van den Heuvel, K.Y.
Lam and S. Min. “Beyond the Power of Mere Repetition: Forms of Social
Communication on Twitter through the Lens of Information Flows and Its Effect
on Topic Evolution”, The 2019 International Joint Conference on Neural Networks
(IJCNN), July 14-19, 2019, Budapest, Hungary.
23. J.L. Guo,
W.Z. Yang, K.Y. Lam and X. Yi.
“Using Blockchain to Control Access to Cloud Data”, The 14th
International Conference on Information Security and Cryptology (Inscrypt
2018), December 14-17, 2018, Fuzhou, China, Springer LNCS 11449.
24. B.
Srinivasu, P. Vikramkumar, A. Chattopadhyay and K.Y. Lam. “CoLPUF: A Novel Configurable LFSR-based PUF”,
Proceedings of the 14th Asia Pacific Conference on Circuits and
Systems (APCCAS 2018), October 26-30, 2018, Chengdu, China. Doi:
10.1109/APCCAS.2018.8605643.
25.
Y. Huang, A.W.K.
Kong and K.Y. Lam. “From the
Perspective of CNN to Adversarial Iris Images”, IEEE 9th
International Conference on Biometrics: Theory, Applications and Systems (BTAS
2018), October 22-25, 2018, Los Angeles, California, U.S.
26.
S. Bose, M.
Raikwar, D. Mukhopadhyay, A. Chattopadhyay, K.Y. Lam. “BLIC: A Blockchain Protocol for Manufacturing and Supply
Chain Management of ICs”, The 2018 IEEE International Conference on Blockchain
(Blockchain-2018), July 30 – 3 August 2018, Halifax, Canada.
27.
Y.W. Zhao, C.
Wang, C.H. Chi, K.Y. Lam and S.
Wang. “A Comparative Study of Transactional and Semantic Approaches for
Predicting Cascades on Twitter”, Proceedings of the 27th
International Joint Conference on Artificial Intelligence (IJCAI -18), July
13-19, 2018, Stockholm, Sweden, pp 1212-1218, doi:10.24963/ijcai.2018/169.
28.
V. Pudi, A.
Chattopadhyay, K.Y. Lam. “Efficient
and Lightweight Quantized Compressive Sensing Using Mu-Law”, 2018 IEEE
International Symposium on Circuits and Systems (ISCAS 2018), May 27-30, 2018,
Florence, Italy, IEEE. Doi: 10.1109/ISCAS.2018.8351505.
29.
M. Raikwar, S.
Mazumdar, S. Ruj, S.S. Gupta, A. Chattopadhyay, K.Y. Lam. “A Blockchain Framework for Insurance Processes”, 1st
International Workshop on Blockchains and Smart Contracts (BSC) in conjunction
with the 9th IFIP International Conference on New Technologies, Mobility and
Security (IFIP NTMS), February 26-28 2018, Paris, France, IEEE. Doi:
10.1109/NTMS.2018.8328731.
30.
A. Chattopadhyay
and K.Y. Lam. “Security of
autonomous vehicle as a cyber-physical system,” The 7th International Symposium on Embedded Computing and
System Design (ISED), Durgapur, 18-20 December, 2017, pp. 1-6, IEEE.
doi: 10.1109/ISED.2017.8303906.
31.
S Sau, J.
Haj-Yahya, M.M. Wong, K.Y. Lam and
A. Chattopadhyay. “Survey of Secure Processors”, 2017 International Conference
on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS
2017), 17-20 July, 2017, Pythagorion, Greece, IEEE. Doi:
10.1109/SAMOS.2017.8344637.
32.
V. Sidorov, W.K.
Ng, K.Y. Lam, M.F. Bin Mohamed
Salleh. “Implications of Cyber Threats for the Design of Unmanned Air Traffic
Management System”, The 2017 International Conference on Unmanned Aircraft
Systems (ICUAS’17), FL, USA, June 13-16 2017.
33.
K.Y. Lam.
Securing the Internet of Thing: Cybersecurity from IT to OT, Chapter in
Navigating the Digital Age, 35-44, Forbes Media, 2016.
34.
K.Y. Lam, C.H.
Chi. “Identity in the Internet-of-Things (IoT): New Challenges and
Opportunities”, ICICS 2016: 18-26, Springer.
·
Lam Kwok Yan, et. al. Method for
Generating Cryptographic Key from Biometric Data, Granted on 30 October 2009 (P-No. 139580). Singapore patent application number
200604906-8.
·
Lam Kwok Yan, et. al. Methods of
Robust Multi-Factor Authentication and Authorization and Systems Thereof, Granted on 31 July 2012 (P-No. 175860). Singapore patent application number
201108062-9.
·
Lam Kwok Yan, et. al. Method and
System of Secure Computing Environment having Auditable Control of Data
Movement,
Granted on 31 July 2013 (P-No. 185640). Singapore patent application number 201208478-6.
·
Lam Kwok Yan, et. al. Method and System
of Secure Computer File Management and Storage having High Level of Usability, Granted on 10 March 2016. Singapore patent application number/Patent Number
11201510347T.
·
Lam Kwok Yan, et. al. Privacy-Preserving Neural Network Based on FHE
Scheme, Fast Track Provisional Filing, 24 February 2022. Singapore
provisional patent application number 10202201824W.
·
Lam Kwok Yan, et. al. Optimization
Of FHE Scheme For Non-Linear Functions: An Efficient Design For LUT-Based
Non-Linear Function Evaluation, Fast Track Provisional
Filing, 13 May 2022. Singapore provisional patent application number
10202205037W.
·
Ph.D. Candidates
§ HUANG Yi: Designing Adversarial Signals Against
Three Deep Learning and Non-deep Learning Methods (completed June 2021)
§ GUO Jiale: Privacy-enhancing
Mechanisms for Security Data Access and Analysis (completed September 2022)
§ YANG Wenzhuo: Machine
Learning Techniques for Advanced Cyber Attack Detection (completed August 2022)
§ TANG Kheng Leong (Part-time): Secure
and Privacy Preserving Sharing of Personal Health Records with Multi-Party
Pre-Authorization Verification (completed December 2022)
§ LI Zhi: Cross-domain Face
Presentation Attack Detection Techniques with Attention to Genuine Faces
(submitted)
§ LIU Ziyao: Privacy-Preserving
Machine Learning (submitted)
§ CHEN Chen: Natural Language
Processing and Text Mining
§ FAN Jiani:
Internet-of-Vehicle
§ ZHANG Tinghao: Federated
Learning
§ HAN Qiao (Part-time):
Machine Learning
§ HUANG Elmo: Multi-Party
Computation
§ SI Peiyuan: Privacy-Preserving
Machine Learning
§ PENG Minyi:
Privacy-Preserving Machine Learning
§ ZHENG Qichen:
Privacy-Preserving Analytics
§ YE Huanyi:
Privacy-Preserving Machine Learning
·
M.Eng. Candidates
§ HUANG Elmo (Part-time): Permissioned
Blockchain for Data Provenance in the Supply Chain with Fine Grained Data
Authorization (completed May 2021)
§ LIM Lucas (Part-time):
Privacy Preserving Data Analytics in Financial Inclusion and Crowd Computing
(completed May 2022)
§ CHU Zhaowei (Part-time):
Natural Language Processing
§ SHEN Jiyuan:
Preserving-Preserving Neural Network
§ SHEN Bowen:
Privacy-Preserving Machine Learning