Biography
Short Biography
Ziang Liu is an Associate Professor of Industrial and Systems Engineering at Hosei University. He received his Ph.D. in Engineering from Osaka University in 2021. Before joining Hosei University in April 2025, he served as an Assistant Professor at Okayama University from 2021 to 2025.
His research interests include operations research, optimization, and machine learning. He focuses on developing advanced algorithms to design autonomous decision-making systems, with particular emphasis on inventory, manufacturing, and supply chain management, where decisions are made in complex environments.
Long Biography (ISFA 2026)
Ziang Liu is an Associate Professor of Industrial and Systems Engineering at Hosei University. He received his Ph.D. in Engineering from Osaka University in 2021. Before joining Hosei University in April 2025, he served as an Assistant Professor at Okayama University from 2021 to 2025.
His research interests include operations research, optimization, and machine learning. He focuses on developing advanced algorithms to design autonomous decision-making systems, with particular emphasis on inventory, manufacturing, and supply chain management, where decisions are made in complex environments.
His current work centers on the development of data-driven optimization algorithms that integrate machine learning to enable efficient decision-making in multi-echelon supply chains under uncertainty, as well as in robotic manufacturing systems. He also works on reinforcement learning and its explainability, with a focus on the development of human-centric decision-making systems that are interpretable and trustworthy for their users.
As first author, he has published peer-reviewed articles in leading journals, including Expert Systems with Applications, Information Sciences, and Applied Artificial Intelligence.
His awards include the Distinguished Young IEOM Researcher Award from the IEOM Society in 2024 and the Best Paper Award at IEEE IEEM in 2019. His work has been supported by grants from the Japan Society for the Promotion of Science (JSPS), including a Grant-in-Aid for Early-Career Scientists (2023–2026) and a Grant-in-Aid for Scientific Research (B) (2022–2026).
An active member of the automation research community, he serves as a Secretary for the Cyber-Physical Flexible Automation (CyFA) research committee (2021–Present) and is a member of the Executive Committee for the International Symposium on Flexible Automation (ISFA) 2026. In addition, he secured a 1,000,000 JPY grant from the Precise Measurement Technology Promotion Foundation to support the symposium.
He also contributes as a reviewer for several leading journals, including IEEE Transactions on Automation Science and Engineering, Engineering Applications of Artificial Intelligence, and Expert Systems with Applications.