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Dr. Marie Siew currently holds the Faculty Early Career Award Fellowship at the Information Systems Technology and Design (ISTD) pillar of the Singapore University of Technology and Design (SUTD). Her research interests encompass resource optimization, distributed intelligence, and wireless networked systems. Marie's recent projects focus on incentive-aware optimization in edge computing, efficient load balancing strategies, and communication optimization for Large Language Model (LLM) agents. She completed her PhD at SUTD in 2021 under the supervision of Professors Tony Quek and Desmond Cai, having previously obtained her BSc in Mathematical Sciences from Nanyang Technological University, Singapore in 2016. Her research also explores green computing and human loop learning. Marie served as a postdoctoral researcher in the Electrical and Computer Engineering (ECE) department at Carnegie Mellon University from 2021 to 2023, working with Professor Carlee Joe-Wong. She has received multiple awards for her contributions to research, including the Early Career Award from the Singapore Ministry of Education for teaching and academic research talent in 2024, and various poster awards at prestigious conferences such as IEEE ICDCS and IPSN. Marie actively participates in conference organization and serves as a reviewer for several top journals and conferences. In addition to her academic pursuits, she is dedicated to mentoring and recruiting visiting students for research opportunities.
Carnegie Mellon University • Pittsburgh, PA, USA
Conducted research in edge computing and resource optimization under the guidance of Professor Carlee Joe-Wong.
This applies to PhD programs in Architecture and Sustainable Design (ASD), Engineering Product Development (EPD), Engineering Systems and Design (ESD), Information Systems Technology and Design (ISTD), Science, Mathematics and Technology (SMT), and Humanities, Arts and Social Sciences (HASS).