Pei-Yuan Hsu is a Research Associate at the Transport Systems and Logistics Laboratory and the Alan Turing Institute. His research focuses on the data-driven design of civil infrastructure under uncertainty to support emerging modes of urban mobility.
He holds a PhD from the Dyson School of Design Engineering at Imperial College London, which he carried out in affiliation with the Centre for Systems Engineering and Innovation. His research focused on the optimal design of modular construction supply chains under conditions of uncertainty, making use of stochastic programming and robust optimisation. Previously, he obtained an MSc and BSc at the Department of Civil Engineering at National Chiao-Tung University (Taiwan). He also has industrial experience as a Site Engineer and BIM Practitioner with Taiwan Photon Source.
Pei-Yuan is currently focusing on the development of stochastic programming techniques for the design of flexible Demand Responsive Transport Systems (DRTs) for electric and autonomous vehicles. His models make extensive use of Machine Learning technologies to identify patterns in customer activity and facilitate the optimal use of shared vehicles and the underlying transport infrastructure.
et al., 2020, On the selection of charging facility locations for EV-based ride-hailing services: A computational case study, Sustainability, ISSN:2071-1050
et al., 2020, Understanding and visualizing schedule deviations in construction projects using fault tree analysis, Engineering, Construction and Architectural Management, Vol:27, ISSN:0969-9988, Pages:2501-2522
Hsu P-Y, Aurisicchio M, Angeloudis P, 2019, Risk-averse supply chain for modular construction projects, Automation in Construction, Vol:106, ISSN:0926-5805, Pages:1-12
Hsu P-Y, Aurisicchio MARCO, Angeloudis P, 2017, Establishing outsourcing and supply chain plans for prefabricated construction projects under uncertain productivity, International Conference on Computational Logistics - 2017, Springer, Pages:529-543, ISSN:1611-3349
Hsu P-Y, Aurisicchio M, Angeloudis P, 2017, Supply chain design for modular construction projects, 25th Annual Conference of the International Group for Lean Construction (IGLC),, IGLC, ISSN:2309-0979