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Marie Therese Siew Hui Lin

SIEW Marie Therese Hui Lin

SUTD Faculty Fellow
EMAIL
marie_siew
sutd.edu.sg
WEBSITE
OFFICE
1.502.20
RESEARCH AREAS
Artificial and Augmented Intelligence
Data Science
Networked and Autonomous Systems

Biography

Dr Marie Siew is currently a Faculty Early Career Award Fellow in the ISTD pillar at the Singapore University of Technology and Design. Marie’s research broadly revolves around resource optimization for distributed intelligence in wireless and networked systems. Her research projects include incentive-aware optimization for edge computing, load balancing in edge computing, fair and efficient multiple model federated learning, and LLM agent communication optimization.

Marie was a postdoctoral researcher in the ECE department, Carnegie Mellon University, advised by Prof Carlee Joe-Wong, from 2021 to 2023. She received her PhD from SUTD in 2021, advised by Prof Tony Quek and Dr Desmond Cai. Prior to that, she obtained her BSc in Mathematical Sciences, from Nanyang Technological University, Singapore in 2016. Marie is currently also exploring green computing and human in the loop learning.

For more information, you can visit https://mariesiewhuilin.weebly.com
Education
  • PhD, Information Systems Technology and Design, Singapore University of Technology and Design, 2021.
  • BSc, Mathematical Sciences, Nanyang Technological University, 2016.
News

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.
Awards
  • First Place, Multi-Agents Track, LLM Agents MOOC Hackathon hosted by Berkeley RDI.
  • Best Poster Award, IEEE International Conference on Distributed Computing Systems (ICDCS) 2024, for “Optimal Variance-Reduced Client Sampling for Multiple Models Federated Learning”.
  • Early Career Award, Singapore Ministry of Education (MOE) Teaching and Academic Research Talent (START) Scheme, 2024.
  • Best Poster Award, IEEE/ACM International Conference on Information Processing in Sensor Networks (IPSN) 2023, held at CPS-IoT Week 2023, for “Fair Training of Multiple Federated Learning Models on Resource Constrained Network Devices”.
  • SUTD Presidential Postdoctoral Fellowship (PPF) – under the Singapore MOE Teaching and Academic Research Talent Scheme (START), 2021-2023.
  • A*Star (Agency for Science, Technology and Research, Singapore) Computing and Information Science Scholarship (ACIS), 2019-2020.
  • A*Star Graduate Scholarship, 2017-2019.
  • Dean’s List – School of Physical and Mathematical Sciences, Nanyang Technological University (NTU). Academic Year 2013/2014.
  • A*Star Chairman’s Honours List, 2014.
  • NTU President Research Scholar, 2014, under the URECA Research Programme.
  • SMURF: Singapore – MIT Undergraduate Research Fellowship, 2014, for an internship at SMART, CREATE, Singapore.
  • A*STAR Undergraduate Scholarship, 2012-2016.
  • NTU CN Yang Scholars’ Programme, 2012-2016.
Publications
  • Hanqing Yang, Jingdi Chen, Marie Siew, Tania Lorido-Botran, Carlee Joe-Wong, “LLM-Powered Decentralized Generative Agents with Adaptive Hierarchical Knowledge Graph for Cooperative Planning”, AAAI 2025 Workshop on Multi-Agent AI in the Real World (MARW), Philadelphia, March 2025. 
  • Aditya Kumar, Hanqing Yang, Wai Shun Lee, Jet Wei Goh, Carlee Joe-Wong, Marie Siew, “Towards Adversarially Robust Human-in-the-loop Learning for HVAC Systems”, AAAI 2025 Workshop on Artificial Intelligence for Wireless Communications and Networking (AI4WCN), Philadelphia, March 2025. 
  • Kai Han, Marie Siew, Bingbing Xu, Shengjun Guo, Tianxiang Wang, Wenbin Gong, Tony Q. S. Quek, and Qianyi Ren, “A Distributed Collaborative Data Relay Method: VLEO Earth Observation Constellation Cross-Layer Access to the Mega-LEO Satellite Internet”, IEEE Internet of Things Journal (IoTJ), 2024. 
  • Kai Han, Bingbing Xu, Marie Siew, Wenbin Gong, Tony Q. S. Quek, and Qianyi Ren, “Distributed Multi-objective Topology Optimization Method in VLEO-LEO Satellite Networks”, in Proc. IEEE Global Communications Conference (GLOBECOM), Cape Town, South Africa, December 2024.
  • Haoran Zhang, Zekai Li, Zejun Gong, Marie Siew, Carlee Joe-Wong, Rachid El-Azouzi, “Optimal Variance-Reduced Client Sampling for Multiple Model Federated Learning”, in Proc. IEEE International Conference on Distributed Computing Systems (ICDCS Posters), Jersey City, July 2024. Best Poster Award!
  • Hanqing Yang, Marie Siew, and Carlee Joe-Wong, “An LLM-Based Digital Twin for Optimizing Human-in-the Loop Systems” in International Workshop on Foundation Models for Cyber-Physical Systems & Internet of Things (FMSys), held at CPS-IoT Week, Hong Kong, May 2024. 
  • Sha Xie, Marie Siew,  Lingxiang Li, Zhi Chen, Tianlong Yang, “Minimizing the THz Communication Outage Probability with ISAC for Delay-Sensitive Services”, in Proc. IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, December 2023. 
  • Marie Siew, Shikhar Sharma, Kun Guo, Desmond Cai, Wanli Wen, Carlee Joe-Wong, Tony Q. S. Quek, “Towards Effective Resource Procurement in MEC: a Resource Re-selling Framework”, IEEE Trans. Services Computing (TSC), 2023. 
  • Xiongyue Wu, Jianhua Tang, and Marie Siew, “Digital Twin-assisted Semi-Federated Learning Framework for Industrial Edge Intelligence,” China Communications, 2023. 
  • Yuezhou Liu, Lili Su, Carlee Joe-Wong, Stratis Ioannidis, Edmund Yeh, Marie 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. 
  • Shuying Gan, Marie Siew, Chao Xu and Tony 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. 
  • Marie Siew, Shoba Arunasalam, Yichen Ruan, Ziwei Zhu, Lili Su, Stratis Ioannidis, Edmund Yeh, and Carlee 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! 
  • Marie Siew, Shikhar Sharma, and Carlee 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. 
  • Lingxiang Li, Marie Siew, Tony Q. S. Quek, and Zhi Chen, “Optimal Pricing for Job Offloading in the MEC System with Two Priority Classes,” IEEE Trans. Vehicular Technology (TVT), vol. 70, no. 8, pp. 8080-8091, Aug. 2021. 
  • Marie Siew, Kun Guo, Desmond Cai, Lingxiang Li, and Tony 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. 
  • Marie Siew, Desmond Cai, Lingxiang Li, and Tony Q. S. Quek, “A Sharing-Economy Inspired Pricing Mechanism for Multi-Access Edge Computing,” in Proc. IEEE Global Communications Conference (GLOBECOM), Taipei, Dec 2020. 
  • Marie Siew, Desmond Cai, Lingxiang Li, Tony Q. S. Quek, “Dynamic Pricing for Resource-Quota Sharing in Multi-Access Edge Computing”, IEEE Trans. Network Science and Engineering (TNSE), vol. 7, no. 4, pp. 2901-2912, Oct 2020. 
  • Zhi Chen, Lingxiang Li, Marie Siew, and Tony Q. S. Quek. Edge/Fog Computing Networks. In Wiley 5G Ref, 2020. – Lingxiang Li, Marie Siew, and Tony Q. S. Quek, “Learning-Based Pricing for Privacy-Preserving Job Offloading in Mobile Edge Computing,” in Proc. IEEE International Conference on Acoustics, 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.