Dr CHAN, Tse Tin David    陳謝天 博士
Assistant Professor
Department of Mathematics and Information Technology
Contact
ORCiD
0000-0001-9235-7813
Phone
(852) 2948 7864
Email
tsetinchan@eduhk.hk
Address
10 Lo Ping Road, Tai Po, New Territories, Hong Kong
Website
https://ttchan.net
Scopus ID
57190584574
SDGs
3 - Good Health and Well-Being
7 - Affordable and Clean Energy
9 - Industry, Innovation and Infrastructure
11 - Sustainable Cities and Communities
Research Interests
  • Wireless Communications and Networking
  • Artificial Intelligence (AI)
  • Age of Information (AoI)
  • AI-native Wireless Systems
  • Integrating Sensing and Communications (ISAC)
Teaching Interests
  • Wireless Communications
  • Computer Network
  • Machine Learning
  • Deep Learning
External Appointments

Editorial Service

  • Guest Editor, IEEE Journal of Selected Topics in Signal Processing, Special Issue: "Signal Processing for Trustworthiness in 6G Wireless Ecosystems," 2026 - Present
  • Guest Editor, IEEE Open Journal of the Communications Society, Special Issue: "Resilient and Trustworthy Communications for 6G Smart Wireless Environments: Integrating Sensing, AI, and Security in Smart Wireless Systems," 2025 - Present


Conference & Workshop Organization

  • Technical Program Chair, IEEE International Conference on Communications (ICC) 2026, Workshop on Building Trust in 6G: Architectures, Algorithms, and Testbeds
  • Co-Organizer, IEEE Vehicular Technology Conference (VTC) 2026 Spring, Workshop on Communication-Computing Co-Design for Energy-Efficient 6G Cloud-Edge Intelligence
  • Co-Chair, IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) 2026, Workshop on Secure and Private 6G: From Physical Layer to Programmable Wireless Environments
  • Technical Program Chair, IEEE/CIC International Conference on Communications in China (ICCC) 2026, 2nd Workshop on Building Trust in 6G: Architectures, Algorithms, and Testbeds

etc.


Technical Program Committee (TPC) Member

  • IEEE International Conference on Communications (ICC)
  • IEEE Global Communications Conference (GLOBECOM)
  • IEEE Vehicular Technology Conference (VTC)
  • IEEE International Conference on Parallel and Distributed Systems (ICPADS)

etc.


Peer Review

  • IEEE Communications Surveys & Tutorials
  • ACM Computing Surveys
  • IEEE Journal on Selected Areas in Communications
  • IEEE Journal of Selected Topics in Signal Processing
  • IEEE Transactions on Signal Processing
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Mobile Computing
  • IEEE Transactions on Communications
  • IEEE Transactions on Antennas & Propagation
  • IEEE Transactions on Dependable and Secure Computing
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Industrial Informatics
  • IEEE Transactions on Vehicular Technology
  • IEEE Wireless Communications
  • IEEE Communications Magazine
  • IEEE Network

etc.


Local Professional Service

  • Associate Editor, HKIE Transactions, The Hong Kong Institution of Engineers (HKIE), 2023 - Present
  • Specialist & Accreditation Panel Member, Hong Kong Council for Accreditation of Academic and Vocational Qualifications (HKCAAVQ), 2024 - Present

etc.

Personal Profile

We are inviting applications for Visiting Scholar positions (6-month visits during the 2027–28 academic year), Postdoctoral Fellow positions (starting in mid-2027 or later), and PhD positions (for entry in Sep. 2027). We welcome applicants interested in research in wireless communications, artificial intelligence, or both.

Our team currently includes 5 postdoctoral fellows and 3 PhD students with academic backgrounds from renowned institutions, including University College London, Shanghai Jiao Tong University, Zhejiang University, and The University of Hong Kong.

To apply, please email your CV and academic transcripts to tsetinchan@eduhk.hk. We look forward to hearing from you!

For more details about my profile, please visit my personal website: https://ttchan.net/

---

Tse-Tin Chan (Member, IEEE) received the B.Eng. and Ph.D. degrees in information engineering from The Chinese University of Hong Kong (CUHK), Hong Kong, China, in 2014 and 2020, respectively. From 2020 to 2022, he was an Assistant Professor with the Department of Computer Science, The Hang Seng University of Hong Kong (HSUHK), Hong Kong. He is currently an Assistant Professor with the Department of Mathematics and Information Technology, The Education University of Hong Kong (EdUHK), Hong Kong. His research interests include wireless communications and networking, age of information (AoI), AI-native wireless systems, and integrated sensing and communication (ISAC). He has served as a Guest Editor for the IEEE Journal of Selected Topics in Signal Processing and the IEEE Open Journal of the Communications Society. He has also served on the organizing committees and technical program committees of various flagship conferences and workshops, including IEEE ICC and IEEE GLOBECOM.

Research Interests
  • Wireless Communications and Networking
  • Artificial Intelligence (AI)
  • Age of Information (AoI)
  • AI-native Wireless Systems
  • Integrating Sensing and Communications (ISAC)
Teaching Interests
  • Wireless Communications
  • Computer Network
  • Machine Learning
  • Deep Learning
External Appointments

Editorial Service

  • Guest Editor, IEEE Journal of Selected Topics in Signal Processing, Special Issue: "Signal Processing for Trustworthiness in 6G Wireless Ecosystems," 2026 - Present
  • Guest Editor, IEEE Open Journal of the Communications Society, Special Issue: "Resilient and Trustworthy Communications for 6G Smart Wireless Environments: Integrating Sensing, AI, and Security in Smart Wireless Systems," 2025 - Present


Conference & Workshop Organization

  • Technical Program Chair, IEEE International Conference on Communications (ICC) 2026, Workshop on Building Trust in 6G: Architectures, Algorithms, and Testbeds
  • Co-Organizer, IEEE Vehicular Technology Conference (VTC) 2026 Spring, Workshop on Communication-Computing Co-Design for Energy-Efficient 6G Cloud-Edge Intelligence
  • Co-Chair, IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) 2026, Workshop on Secure and Private 6G: From Physical Layer to Programmable Wireless Environments
  • Technical Program Chair, IEEE/CIC International Conference on Communications in China (ICCC) 2026, 2nd Workshop on Building Trust in 6G: Architectures, Algorithms, and Testbeds

etc.


Technical Program Committee (TPC) Member

  • IEEE International Conference on Communications (ICC)
  • IEEE Global Communications Conference (GLOBECOM)
  • IEEE Vehicular Technology Conference (VTC)
  • IEEE International Conference on Parallel and Distributed Systems (ICPADS)

etc.


Peer Review

  • IEEE Communications Surveys & Tutorials
  • ACM Computing Surveys
  • IEEE Journal on Selected Areas in Communications
  • IEEE Journal of Selected Topics in Signal Processing
  • IEEE Transactions on Signal Processing
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Mobile Computing
  • IEEE Transactions on Communications
  • IEEE Transactions on Antennas & Propagation
  • IEEE Transactions on Dependable and Secure Computing
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Industrial Informatics
  • IEEE Transactions on Vehicular Technology
  • IEEE Wireless Communications
  • IEEE Communications Magazine
  • IEEE Network

etc.


Local Professional Service

  • Associate Editor, HKIE Transactions, The Hong Kong Institution of Engineers (HKIE), 2023 - Present
  • Specialist & Accreditation Panel Member, Hong Kong Council for Accreditation of Academic and Vocational Qualifications (HKCAAVQ), 2024 - Present

etc.

Research Outputs
Journal Publications
N. Su, F. Liu, J. Zou, C. Masouros, G. C. Alexandropoulos, A. Mourad, J. L. Hernando, Q. Zhang, and T.-T. Chan, "Integrating sensing and communications in 6G? Not until it is secure to do so," IEEE Wireless Communications, early access, Jun. 2026, doi: 10.1109/MWC.2026.3703015.
SDGs infomation: 9 - Industry, Innovation and Infrastructure, 11 - Sustainable Cities and Communities, 16 - Peace, Justice and Strong Institutions
H. Wu, X. Zhuang, J. Wu, L. Gao, D. Niyato, and T.-T. Chan, "When AIGC meets MEC: A novel diffusion-based collaborative inference paradigm," IEEE Communications Magazine, early access, May 2026. doi: 10.1109/MCOM.001.2500620.
SDGs infomation: 7 - Affordable and Clean Energy, 9 - Industry, Innovation and Infrastructure, 11 - Sustainable Cities and Communities
H. Wu, M. Xu, Z. Xiong, L. Gao, H. Pan, D. Niyato, and T.-T. Chan, "A QoE-driven personalized incentive mechanism design for AIGC services in resource-constrained edge networks," IEEE Transactions on Mobile Computing, vol. 25, no. 3, pp. 4121-4137, Mar. 2026.
SDGs infomation: 9 - Industry, Innovation and Infrastructure, 11 - Sustainable Cities and Communities, 12 - Responsible Consumption and Production
T. Li, Z. Li, H. Liu, C. Yang, T.-T. Chan, and J. Cai, "Adaptive layer-wise personalized federated deep reinforcement learning for heterogeneous edge caching," IEEE Transactions on Cognitive Communications and Networking, vol. 12, pp. 4532-4546, 2026.
SDGs infomation: 9 - Industry, Innovation and Infrastructure, 11 - Sustainable Cities and Communities
Z. Liu, Z.-Y. Wang, H. C. So, Z. Chen, L. Zhang, and T.-T. Chan, "Reliable ADMM-based signal detection for OTFS-DCSK under high-mobility scenarios," IEEE Transactions on Wireless Communications, vol. 25, pp. 3991-4005, 2026.
SDGs infomation: 9 - Industry, Innovation and Infrastructure, 11 - Sustainable Cities and Communities
Z. Zhou, Z. Wei, J. Ren, Y. Yin, Y. Wang, and T.-T. Chan, "A unified frequency-wise electromagnetic modeling framework with improved generalizability and scalability," IEEE Transactions on Microwave Theory and Techniques, vol. 73, no. 12, pp. 10281-10299, Dec. 2025.
SDGs infomation: 9 - Industry, Innovation and Infrastructure, 12 - Responsible Consumption and Production
H. Wu, H. Zeng, Z. Xiong, J. Kang, Z. Cai, T.-T. Chan, D. Niyato, and Z. Han, "MetaTrading: An immersion-aware model trading framework for vehicular metaverse services," IEEE Transactions on Services Computing, vol. 18, no. 6, pp. 4015-4029, Nov.-Dec. 2025.
SDGs infomation: 9 - Industry, Innovation and Infrastructure, 11 - Sustainable Cities and Communities
Z. Zhou, Z. Wei, J. Ren, Y. Yin, J. Li, and T.-T. Chan, "End-to-end machine-learning framework for electromagnetic inverse design: From practical constraints to optimized structures," IEEE Transactions on Microwave Theory and Techniques, vol. 73, no. 11, pp. 8690-8708, Nov. 2025.
SDGs infomation: 9 - Industry, Innovation and Infrastructure, 12 - Responsible Consumption and Production
C. Zhang, S. Ye, H. Liu, and T.-T. Chan, "Optimal packing for encrypted and compressed key-value stores with pattern-analysis security," IEEE Transactions on Cloud Computing, vol. 13, no. 4, pp. 1343-1358, Oct.-Dec. 2025.
SDGs infomation: 9 - Industry, Innovation and Infrastructure, 16 - Peace, Justice and Strong Institutions
H. Liu, S. Ye, C. Y. T. Ma, Y. Wang, and T.-T. Chan, "Motion coordination of swarm robots for mobile target search," IEEE Transactions on Automation Science and Engineering, vol. 22, pp. 20323-20340, Aug. 2025.
SDGs infomation: 3 - Good Health and Well-Being, 9 - Industry, Innovation and Infrastructure, 11 - Sustainable Cities and Communities
X. Wang, H. Pan, T.-T. Chan, and J. Li, “Automatic repeat request design in AoI-aware broadcast with heterogeneous direct and relay-assisted users,” IEEE Internet of Things Journal, vol. 12, no. 14, pp. 29032-29045, Jul. 2025.
SDGs infomation: 9 - Industry, Innovation and Infrastructure, 11 - Sustainable Cities and Communities
Y. Xie, Y. Wen, X. Zhang, P. Lai, Z. Liu, H. Pan, and T.-T. Chan, “Reflection optimization for covert ambient backscatter systems under two jamming patterns,” IEEE Internet of Things Journal, vol. 12, no. 14, pp. 27728-27741, Jul. 2025.
SDGs infomation: 9 - Industry, Innovation and Infrastructure, 11 - Sustainable Cities and Communities
Y. Wang, H. Pan, and T.-T. Chan, “A dual-band dual-sense circularly polarized rectenna for millimeter-wave power transmission,” IEEE Transactions on Antennas and Propagation, vol. 73, no. 1, pp. 96-107, Jan. 2025.
SDGs infomation: 7 - Affordable and Clean Energy, 9 - Industry, Innovation and Infrastructure, 11 - Sustainable Cities and Communities
H. Pan, S. Yang, T.-T. Chan, Z. Wang, V. C. M. Leung, and J. Li, “SC-PNC: Semantic communication-empowered physical-layer network coding,” IEEE Transactions on Cognitive Communications and Networking, vol. 10, no. 4, pp. 1160-1174, Aug. 2024.
SDGs infomation: 9 - Industry, Innovation and Infrastructure, 11 - Sustainable Cities and Communities
J. Liang, T.-T. Chan, and H. Pan, “Minimizing age of collection for multiple access in wireless industrial Internet of Things,” IEEE Internet of Things Journal, vol. 11, no. 2, pp. 2753-2766, Jan. 2024.
SDGs infomation: 9 - Industry, Innovation and Infrastructure, 11 - Sustainable Cities and Communities, 12 - Responsible Consumption and Production
H. Pan, J. Feng, T.-T. Chan, V. C. M. Leung, and J. Li, “Timely status update in relay-assisted cooperative communications,” IEEE Transactions on Vehicular Technology, vol. 72, no. 12, pp. 15745-15761, Dec. 2023.
SDGs infomation: 9 - Industry, Innovation and Infrastructure, 11 - Sustainable Cities and Communities
H. Pan, T.-T. Chan, V. C. M. Leung, and J. Li, “Age of information in physical-layer network coding enabled two-way relay networks,” IEEE Transactions on Mobile Computing, vol. 22, no. 8, pp. 4485-4499, Aug. 2023.
SDGs infomation: 9 - Industry, Innovation and Infrastructure, 11 - Sustainable Cities and Communities
H. Pan, Y. Zhou, T.-T. Chan, M. Tang, J. Li, and Z. Du, “Improving information freshness via backbone-assisted cooperative access points,” IEEE Internet of Things Journal, vol. 10, no. 5, pp. 4592-4604, Mar. 2023.
SDGs infomation: 9 - Industry, Innovation and Infrastructure, 11 - Sustainable Cities and Communities
H. Pan, T.-T. Chan, J. Li, and V. C. M. Leung, “Age of information with collision-resolution random access,” IEEE Transactions on Vehicular Technology, vol. 71, no. 10, pp. 11295-11300, Oct. 2022.
SDGs infomation: 9 - Industry, Innovation and Infrastructure, 11 - Sustainable Cities and Communities
T.-T. Chan and T.-M. Lok, “Signal-aligned network coding for multicell processing with limited cooperation,” IEEE Transactions on Communications, vol. 68, no. 8, pp. 4832-4843, Aug. 2020.
SDGs infomation: 9 - Industry, Innovation and Infrastructure, 11 - Sustainable Cities and Communities

Conference Papers
C. Chen, H. Pan, and T.-T. Chan, "Version age of information oriented risk-sensitive scheduling with distributional reinforcement learning," in Proc. IEEE Wireless Communications and Networking Conference (WCNC), Apr. 2026, pp. 1-6.
SDGs infomation: 9 - Industry, Innovation and Infrastructure, 11 - Sustainable Cities and Communities, 12 - Responsible Consumption and Production
Y. Xie, T.-T. Chan, X. Zhang, P. Lai, and H. Pan, “Reflection-optimized covert communication for jammer-aided ambient backscatter systems,” in Proc. IEEE Global Communications Conference (GLOBECOM), Dec. 2023, pp. 4277-4282.
SDGs infomation: 9 - Industry, Innovation and Infrastructure, 11 - Sustainable Cities and Communities
J. Feng, H. Pan, T.-T. Chan, and J. Liang, “Timely status update: Should ARQ be used in two-hop networks?,” in Proc. IEEE International Conference on Communications (ICC), May 2022, pp. 3514-3519.
SDGs infomation: 9 - Industry, Innovation and Infrastructure, 11 - Sustainable Cities and Communities
Q. Ren, T.-T. Chan, J. Liang, and H. Pan, “Age of information in SIC-based non-orthogonal multiple access,” in Proc. IEEE Wireless Communications and Networking Conference (WCNC), Apr. 2022, pp. 800-805.
SDGs infomation: 9 - Industry, Innovation and Infrastructure, 11 - Sustainable Cities and Communities

Projects
Time-sensitive wireless body area networks: Theories and applications
This project is supported by the Research Matching Grant Scheme of the Research Grants Council of Hong Kong and in-kind donations from industrial partners with a total amount of HKD 5,964,000. (HKD 2,982,000 from the Research Grants Council of Hong Kong and HKD 2,982,000 in-kind donations from industrial partners.)

This research project aims to develop advanced wireless communication schemes tailored to the low-latency, high-reliability transmission of short-packet data in time-sensitive Wireless Body Area Networks (WBANs). The proposed schemes will be validated through prototype development utilizing the donated technologies. The outcomes of this project have the potential to significantly enhance the efficiency and reliability of time-sensitive WBANs, leading to innovative applications in healthcare, sports, and wellness domains.
Project Start Year: 2023, Principal Investigator(s): CHAN, Tse Tin, David
SDGs Information: 3 - Good Health and Well-Being, 9 - Industry, Innovation and Infrastructure
 
Ultra-reliable low-latency communications for vehicle-to-everything: From theory to practical implementation
This project is supported by the Research Matching Grant Scheme of the Research Grants Council of Hong Kong and in-kind donations from industrial partners with a total amount of HKD 19,818,490.5. (HKD 9,197,163.5 from the Research Grants Council of Hong Kong and HKD 10,621,327 in-kind donations from industrial partners.)

The project aims to develop and validate ultra-reliable low-latency communications (URLLC) schemes for Vehicle-to-Everything (V2X). To start with, we would like to propose new URLLC performance metrics to meet the needs of V2X. Based on the proposed performance metrics, we will develop and optimize wireless communication schemes and networking protocols. Finally, we will utilize the donated packages to build prototypes for validating our proposed schemes.
Project Start Year: 2023, Principal Investigator(s): CHAN, Tse Tin, David
SDGs Information: 9 - Industry, Innovation and Infrastructure, 11 - Sustainable Cities and Communities
 
Enhancing wireless information freshness via physical-layer network coding and non-orthogonal multiple access
(Note: Dr. Tse-Tin Chan was the Principal Investigator of this project. After Dr. Chan moved from HSUHK to EdUHK on August 1, 2022, the Principal Investigator was transferred to Dr. Hai Liu to meet the funding eligibility. Currently, Dr. Chan is the Co-Investigator of this project.)

This project is supported by the Faculty Development Scheme of the Research Grants Council of Hong Kong under Grant UGC/FDS14/E02/21 in the amount of HKD 1,143,229.

The Internet of Things (IoT) is an emerging wireless communication and networking technology that can be utilized to connect billions of devices and establish a close connection between our physical world and computer networks. Many time-critical applications, such as autonomous vehicles and industrial control, require the support of ultra-reliable low-latency communications (URLLC) to convey fresh information updates. However, information freshness cannot be accurately quantified by traditional metrics such as throughput and delay. Therefore, the age of information (AoI) metric has recently received extensive attention from researchers. AoI is defined as the elapsed time since the most recently received packet was generated. Literature shows that replacing traditional performance metrics with AoI may lead to fundamental changes in the communication system designs.Most AoI research has focused on the upper layers of communication networks. Lower-layer solutions, such as multiple access schemes for the medium access control (MAC) layer and multi-user interference cancellation schemes for the physical (PHY) layer, have not been thoroughly studied for their impact on information freshness. Existing lower-layer designs cannot guarantee good information freshness when a large number of users access complicated and unreliable wireless channels. This problem seriously hinders the development of time-critical IoT applications. Moreover, information update packets in the IoT networks are usually very short. Shannon’s channel capacity formula in information theory assumes an infinite blocklength and is therefore not suitable for characterizing the performance of short-packet communications.

The purpose of this project is to fill the above-mentioned research gaps. To begin with, we would like to develop a theoretical framework for AoI analyses in various error-prone short-packet wireless communication models. Based on the developed framework, we then design lower-layer algorithms to enhance information freshness by physical-layer network coding (PNC) and non-orthogonal multiple access (NOMA). PNC alleviates the multi-user interference problem by utilizing the network-coded packets decoded from superimposed signals. NOMA improves spectral efficiency by serving multiple users at the same time and frequency. Our preliminary simulations show that PNC and NOMA can significantly improve the AoI performance of many channel models. To the end, we would investigate the combination of PNC and NOMA to improve the AoI performance further. If this research achieves favorable outcomes, it will be a solid step in the theory and practice of enhancing information freshness in the next-generation IoT networks.
Project Start Year: 2022, Principal Investigator(s): CHAN, Tse Tin, David
SDGs Information: 9 - Industry, Innovation and Infrastructure, 11 - Sustainable Cities and Communities
 
Intelligent wireless edge networks: Theories and applications
(Note: Dr. Tse-Tin Chan was the Principal Investigator of this project. After Dr. Chan moved from HSUHK to EdUHK on August 1, 2022, the Principal Investigator was transferred to Dr. Kin-Hon Ho to meet the funding eligibility. Currently, Dr. Chan is the Co-Investigator of this project.)

This project is supported by the Research Matching Grant Scheme of the Research Grants Council of Hong Kong and in-kind donations from industrial partners with a total amount of HKD 13,338,000. (HKD 6,669,000 from the Research Grants Council of Hong Kong and HKD 6,669,000 in-kind donations from industrial partners.)

With the rapid growth of smart Internet of Things (IoT) devices, intelligent wireless edge networks have been receiving significant attention. Intelligent wireless edge networks enable distributed edge learning to support artificial intelligence (AI) applications on various end devices. Distributed edge learning overcomes the limited computing power, energy resources, and data on end devices. It also significantly reduces latency compared to conventional machine learning approaches that require training data and inference processes to be centralized in a data center or on a cloud. With the advanced development of wireless networks, we expect more powerful network intelligence to emerge in the future. However, there are many challenges with intelligent wireless edge networks. In this project, we focus on the following objectives. (1) To establish theoretical frameworks for low-latency wireless edge networks; (2) To develop new communication schemes and networking solutions for the intelligent Internet of Things (IoT); (3) To build prototypes and applications for wireless edge intelligence. If the research project yields favorable outcomes, it will be a great advance in the theory and practice of supporting next-generation intelligent wireless edge networks.
Project Start Year: 2022, Principal Investigator(s): CHAN, Tse Tin, David
SDGs Information: 9 - Industry, Innovation and Infrastructure, 11 - Sustainable Cities and Communities
 
Knowledge Transfer Activities
Staff Engaged as Professional Consultants or Members of External Advisory Bodies
Hong Kong Council for Accreditation of Academic and Vocational Qualifications (HKCAAVQ)
Date: 2024-08-01 - 2027-08-01