Research and expertise
My research mainly lies in the fields of modular construction, stochastic programming and construction logistics.
I specialise in optimising the design of modular construction supply chains by addressing uncertainties through stochastic programming and robust optimisation. I have a strong understanding of the factors that cause deviations in construction schedules, applying a systematic approach to both off-site and hybrid construction methods. My work also involves implementing Design for Manufacturing and Assembly (DfMA) and lean construction principles to enhance sustainability throughout the construction process.
Current research activity
- Reducing embodied carbon in the modular construction supply chains
- Investigating optimal configuration for wireless charging facility in public transport system
- Applying reinforcement learning to improve efficiency in humanitarian logistics
Recently completed research projects
- Optimal design for modular construction supply chain
- Adopting robust optimisation in risk aversion for modular construction projects
- Identifying the root cause for schedule deviation in hybrid construction
Recent publications
- Pei-Yuan Hsu, Panagiotis Angeloudis, Marco Aurisicchio, 2018, , Automation in construction, 94, pp 47-61, Elsevier B.V.,
- Pei-Yuan Hsu, Marco Aurisicchio, Panagiotis Angeloudis, 2019, , Automation in Construction, 106, Elsevier B.V.,
- Pei-Yuan Hsu, Marco Aurisicchio, Panagiotis Angeloudis, 2017, , Procedia Computer Science, 121, pp 732-739, Elsevier B.V.,
Teaching
I contribute to learning and teaching activities including modules in construction engineering management and commercial management and quantity survey across the Schools programmes:
Undergraduate
- CVA136 - Project Initialisation
- CVB103 - Management of Design and Construction
- CVB110 - Planning, Estimating and Cost Management
- CVB112 - Construction Finance and Risk
- CVC129 - Digital Design, Construction and Operation
Postgraduate
- CVP322 - Principles of Design and Construction
Profile
I served as a research associate at Imperial College London and the Alan Turing Institute from 2019 to 2022. My research focused on data-driven design of civil infrastructure under uncertainty, with the aim of supporting emerging urban mobility solutions.
I hold a PhD from the Dyson School of Design Engineering, Imperial College London, (2015-2019), in affiliation with the Centre for Systems Engineering and Innovation. My doctoral research concentrated on optimising the design of modular construction supply chains in uncertain environments, using stochastic programming and robust optimization techniques.
Prior to this, I earned both my MSc and BSc in Civil Engineering from National Chiao-Tung University in Taiwan. I also gained industrial experience as a Site Engineer and BIM Practitioner with the Taiwan Photon Source.