Fulong Yao
(he/him)
BEng,MSc,PhD
Teams and roles for Fulong Yao
Research Associate
Publication
2026
- Hamed, N. et al. 2026. CLEETS-SMART: A sustainable mobility and resilient transport for electric vehicle travel planning under extreme weather events. In: Sharma, A. et al., Clean Energy and Equitable Transportation Solutions. [CLEETS-SMART]. IGI Global. , pp.315. (10.4018/979-8-3373-9908-9.ch019)
Book sections
- Hamed, N. et al. 2026. CLEETS-SMART: A sustainable mobility and resilient transport for electric vehicle travel planning under extreme weather events. In: Sharma, A. et al., Clean Energy and Equitable Transportation Solutions. [CLEETS-SMART]. IGI Global. , pp.315. (10.4018/979-8-3373-9908-9.ch019)
Biography
Fulong Yao received his BEng degree from Ludong University, China, in 2018 and his MSc degree from Shanghai University, China, in 2021. He obtained his PhD in Computer Science from Newcastle University, UK, in 2025. He was an academic visitor at the University of Essex from September to December 2019 and a PhD researcher at the University of East Anglia from October 2021 to September 2022. He is currently a Research Associate at Cardiff University, UK, and a research member of The Cleets Global Centre. His research interests include data-driven AI and machine learning algorithms, with applications in multi-energy microgrid and clean transportation. He has contributed to several large-scale UKRI and US NSF projects, including the REMeDY project (approximately £2.34M in total) and the CLEETS project (approximately £6M + $5M in total), developing data-centric modelling, predictive, and optimisation capabilities for operational intelligence across sectors.
Contact Details
Research themes
Specialisms
- AI & Machine Learning
- Energy-efficient computing
- Multi-Vector Energy Systems