Skip to main navigation Skip to search Skip to main content

Thomas Tie Luo, Ph.D.

20032025

Research activity per year

Personal profile

Education/Academic qualification

Doctor of Philosophy, National University Of Singapore

2009

Bachelor of Science, Beijing Univ of Posts & Telecomm

1999

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  3. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Fingerprint

Dive into the research topics where Thomas Tie Luo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration from the last 5 years on country level. Dive into details by clicking on the dots.
  • Enabling Heterogeneous Adversarial Transferability via Feature Permutation Attacks

    Wu, T. & Luo, T., 2025, Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Proceedings. Wu, X., Spiliopoulou, M., Wang, C., Kumar, V., Cao, L., Wu, Y., Yao, Y. & Wu, Z. (eds.). p. 39-51 13 p. (Lecture Notes in Computer Science; vol. 15873 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Unlocking Neural Transparency: Jacobian Maps for Explainable AI in Alzheimer’s Detection

    Mustafa, Y., Elmahallawy, M. & Luo, T., 2025, Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2025 Workshops, ADUR, FairPC, GLFM, PM4B and RAFDA, Sydney, NSW, Australia, June 10–13, 2025, Proceedings. Yuan, S., Malliaros, F. & Zheng, X. (eds.). p. 229-242 14 p. (Lecture Notes in Computer Science; vol. 15835 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • When Secure Aggregation Falls Short: Achieving Long-Term Privacy in Asynchronous Federated Learning for LEO Satellite Networks

    Elmahallawy, M. & Luo, T., Oct 21 2025, ECAI 2025 - 28th European Conference on Artificial Intelligence, including 14th Conference on Prestigious Applications of Intelligent Systems, PAIS 2025 - Proceedings. Lynce, I., Murano, N., Vallati, M., Villata, S., Chesani, F., Milano, M., Omicini, A. & Dastani, M. (eds.). IOS Press BV, p. 1099-1106 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 413).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    1 Scopus citations
  • Adversarial-Robust Transfer Learning for Medical Imaging via Domain Assimilation

    Chen, X. & Luo, T., 2024, Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Proceedings. Yang, D.-N., Xie, X., Tseng, V. S., Pei, J., Huang, J.-W. & Lin, J.C.-W. (eds.). p. 335-349 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14648 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations
  • Communication-Efficient Federated Learning for LEO Constellations Integrated With HAPs Using Hybrid NOMA-OFDM

    Elmahallawy, M., Luo, T. & Ramadan, K., May 1 2024, In: IEEE Journal on Selected Areas in Communications. 42, 5, p. 1097-1114 18 p.

    Research output: Contribution to journalArticlepeer-review

    46 Scopus citations