Clipped Stochastic Gradient Tracking for Locally Smooth Functions in Distributed Optimization
by Mei Leilei
PhD student
Department of Industrial Systems Engineering & Management, College of Design and Engineering, NUS
9 October 2025
Closing the Loop: Coordinating Inventory and Recommendation via Deep Reinforcement Learning on Multiple Timescales
by Dr Yijie Peng
Associate Professor
Guanghua School of Management, Peking University
6 October 2025
BEng (ISE) student – Seah Xin Ying
Xin Ying’s inspiration to pursue Industrial & Systems Engineering stemmed from an interest in optimization and efficiency. She has always been drawn to complex systems—whether in supply chains or business processes—and the challenge of making them smarter, faster, and more resilient. The ISE program’s unique blend of engineering fundamentals, data analytics, and human-centric systems thinking was the perfect fit. It promised the toolkit to not only identify bottlenecks but to design and implement data-driven, automated solutions that create tangible value.
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Fluid Model Applications in Reliability and Queueing Systems
by Dr Young Myoung Ko
Professor
Industrial & Management Engineering, Pohang University of Science and Technology (POSTECH)
19 September 2025
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Cyber-physical System for Experiments and Measurements of UAS
by Dr Datong Liu
Professor
School of Electronics and Information Engineering, Harbin Institute of Technology (HIT)
11 September 2025
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MSc (MTM) student – Phang Fu Chun
As an Industrial and Systems Engineering alumnus (Class of 2019) with nearly five years of experience spearheading digital transformation at a leading multi-purpose port operator in Singapore, Phang Fu Chun was drawn back to pursue the Master of Science in Maritime Technology and Management (MTM) programme for AY2024/25. The programme’s joint hosting between the Department of Industrial Systems Engineering and Management (ISEM) and Centre for Maritime Studies (CMS) offered a unique blend of technological expertise and management principles to advance his career.
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AlphaMind: A Self-Evolving Framework for Automated Quantitative Factor Discovery
by Li Honglin
PhD student
Department of Industrial Systems Engineering & Management, College of Design and Engineering, NUS
18 August 2025
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MSc (MTM) student – Ashref Afshin
Ashref Afshin graduated with a Bachelor’s degree in Nautical Science where he gained extensive knowledge in ship operations and technology, maritime law, IMO conventions, cargo and marine communications, environmental science, navigation, voyage planning, and collision prevention. He joined the MSc Maritime Technology & Management programme to further develop his skills as a professional in the field of the maritime industry.
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Dynamic Functional-coefficient Autoregressive Spatio-Temporal Models
by Dr Rongmao Zhang
Distinguished Professor
Zhejiang Gongshang University
1 August 2025
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MSc (MOTI) student – Tan Li Yin Valarine
Valarine’s professional journey over the past few years has continually reinforced the importance of embracing a growth mindset and stepping beyond familiar boundaries. Seeking to deepen her capabilities, she decided to take on a master’s program that could elevate her engineering background with essential business and management acumen. MOTI is perfectly aligned with this ambition. She views MOTI as an “MBA for Engineers”—a program that provides the essential content of an MBA but is specifically tailored for engineers working in the dynamic technology landscape.
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