Marie Therese Siew Hui Lin

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SUTD Faculty Fellow

Office #: 1.502.20
Pillar / Cluster: Information Systems Technology and Design
Research Areas:Artificial and Augmented Intelligence, Data Science, Networked and Autonomous Systems
Marie Therese Siew Hui Lin


Marie Siew is currently a Faculty Early Career Award (FECA) Fellow in the Information Systems Technology and Design Pillar (ISTD) at SUTD. Prior to joining SUTD, she was a postdoctoral researcher in Carnegie Mellon University, advised by Prof Carlee Joe-Wong. Dr Siew obtained her PhD in ISTD in SUTD, advised by Prof Tony Quek and Dr Desmond Cai. Her thesis was on “Resource Sharing in Mobile Edge Computing”. She obtained her B.Sc in Mathematical Sciences in Nanyang Technological University.

Research Interests

Dr. Siew’s research focuses on user-centric challenges like user incentives, resilience, and fairness, in optimizing resource allocation within edge computing (EC), federated learning (FL), and other network + AI environments. Working together with collaborators, Dr Siew’s research has involved developing decision-making, resource allocation, optimization, and learning algorithms, focusing on user incentives, resilience, and fairness in EC and FL systems, besides addressing efficiency. Dr. Siew is also exploring large language model powered autonomous agents, and human-in-the-loop learning in networked systems.

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  • PhD, Information Systems Technology and Design, Singapore University of Technology and Design, 2021.
  • B.Sc, Mathematical Sciences, Nanyang Technological University, 2016.


I am recruiting visiting students and have openings for SUTD masters and undergraduate students, including undergraduate summer interns. Feel free to contact me for more information.


  • SUTD Faculty Early Career Award (FECA), 2024.
  • Best Poster Award, IEEE/ACM International Conference on Information Processing in Sensor Networks (IPSN) 2023, held at CPS-IoT Week 2023.
  • SUTD Presidential Postdoctoral Fellowship (PPF), under the Singapore Teaching and Academic Research Talent Scheme (START), 2021-2023.
  • A*Star Computing and Information Science Scholarship, 2019-2020.
  • A*Star Graduate Scholarship, 2017-2019.
  • Dean’s List – School of Physical and Mathematical Sciences, NTU, 2014.
  • A*Star Chairman’s Honours List, 2014.
  • A*Star Undergraduate Scholarship, 2012-2016.
  • NTU CN Yang Scholars’ Programme, 2012-2016.


  • S. Xie, M. Siew, L. Li, Z. Chen, T. Yang, “Minimizing the THz Communication Outage Probability with ISAC for Delay-Sensitive Services”, in Proc. IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, December 2023.
  • M. Siew, S. Sharma, K. Guo, D. Cai, W. Wen, C. Joe-Wong, T.Q.S Quek, “Towards Effective Resource Procurement in MEC: a Resource Re-selling Framework”, IEEE Trans. Services Computing (TSC), 2023.
  • Y. Liu, L. Su, C. Joe-Wong, S. Ioannidis, E. Yeh, M. Siew “Cache enabled federated learning systems”, in Proc. International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (ACM MobiHoc), Washington DC, October 2023.
  • S. Gan, M. Siew, C. Xu and T. Q. S. Quek, “Differentially Private Deep Q-Learning for Pattern Privacy Preservation in MEC Offloading”, in Proc. IEEE International Conference on Communications (ICC), Rome, May 2023.
  • M. Siew, S. Arunasalam, Y. Ruan, Z. Zhu, L. Su, S. Ioannidis, E. Yeh, and C. Joe-Wong, “Fair Training of Multiple Federated Learning Models on Resource Constrained Network Devices”, in Proc ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN Posters, CPS-IoT Week), San Antonio, May 2023. Best Poster Award.
  • M. Siew, S. Sharma, and C. Joe-Wong, “ACRE: Actor Critic Reinforcement Learning for Failure-Aware Edge Computing Migrations”, in Proc. IEEE Conference on Information Science and Systems (CISS), Baltimore, March 2023.
  • L. Li, M. Siew, T. Q. S. Quek, and Z. Chen, “Optimal Pricing for Job Offloading in the MEC System with Two Priority Classes,” IEEE Trans. Vehicular Technology, vol. 70, no. 8, pp. 8080-8091, Aug. 2021.
  • M. Siew, K. Guo, D. Cai, L. Li, and T. Q. S. Quek, “Let’s Share VMs: Optimal Placement and Pricing across Base Stations in MEC Systems,” in Proc. IEEE International Conference on Computer Communications (INFOCOM), May 2021.
  • M. Siew, D. Cai, L. Li, and T. Q. S. Quek, “A Sharing-Economy Inspired Pricing Mechanism for Multi-Access Edge Computing,” in Proc. IEEE Global Communications Conference (GLOBECOM), Taipei, Dec 2020.
  • M. Siew, D. Cai, L. Li, T.Q.S. Quek, “Dynamic Pricing for Resource-Quota Sharing in Multi-Access Edge Computing”, IEEE Trans. Network Science and Engineering, vol. 7, no. 4, pp. 2901-2912, Oct 2020.
  • Z. Chen, L. Li, M. Siew, and T.Q.S. Quek. Edge/Fog Computing Networks. In Wiley 5G Ref, 2020.
  • L. Li, M. Siew, and T. Q. S. Quek, “Learning-Based Pricing for Privacy-Preserving Job Offloading in Mobile Edge Computing,” in Proc. IEEE International Conference on Accoustics, Speech and Signal Processing (ICASSP), Brighton, UK, May 2019.

Workshop Co-Chair

  • TPC Co-Chair: The Second ECOFEC: Workshop on the Economics of Fog, Edge and Cloud Computing, held at IEEE SECON 2022. Co-organizers: Prof Qian Ma, Prof Zhiyuan Wang.

Professional Services

  • Panellist, N2 Women Event @ ACM Mobihoc 2023: “Charting your Academic Journey: Wisdom from Women in Research”.
  • Session Chair, IEEE Conference on Information Science and Systems (CISS) 2023: Networks III
  • TPC member, IEEE MASS 2024,
    IEEE Cloud Summit 2024,
    IEEE WiOpt 2023,
    MLSysCrossFL Workshop 2022,
    MobiCom 2021 Posters / SRC.
  • Reviewer for conferences: IEEE INFOCOM, WiOpt, CrossFL Workshop 22, MobiCom 21 Student Research Competition, IEEE GLOBECOM, IEEE CloudNet, IEEE EdgeCom, IEEE INFOCOM IEILM workshop, IEEE WCNC TPML workshop.
  • Reviewer for journals: IEEE JSAC, IEEE TMC, IEEE TNSE, Digital Communications and Networks, IEEE TVT.
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