Overview
BioI am currently a Lecturer in Artificial Intelligence (AI) at the Department of Computer Science, University of Exeter, and a Fellow at the Alan Turing Institute, the UK’s national institute for Data Science and AI. I am also a visiting researcher with the Urban Analytics Programme at the Turing, and an Honorary Research Fellow at the Department of Computer Science, University of Warwick. Prior to that I did my postdoctoral research at the Turing, working on the Shocks and Resilience project with Prof. Mark Birkin, where I developed systematic approaches to model the COVID-19 pandemic and assist decision-making in the post-pandemic world, e.g. balancing economy recovery with the potential rise of infection rate. I received both my PhD and BSc (1st class) degrees in Computer Science at the University of Warwick.
Research interestsMy research interests lie at the intersection of Machine Learning (ML), Artificial Intelligence (AI) and Spatio-temporal Analysis. I am passionate about developing innovative ML/AI systems and new methodologies to better understand the intricate spatial-temporal dynamics of urban environments. In particular, my work focuses on the modelling, analysis and inference of the complex processes, structures, interactions, and evolution of our cities as they unfold across space and time. Harnessing the vast amount of urban data, my research aims to equip stakeholders with novel AI/ML tools to tackle some of the most pressing and critical urban challenges, including mobility, resource management, environmental sustainability and public health. In the long term, my research drives towards the goal of building data-centric cities that are much smarter, more sustainable and resilient than ever, ultimately minimising their environmental footprints while enhancing the quality of life for all inhabitants at the global scale.
I am always looking for self-motivated PhD/visiting students. Please drop me an email with your CV if you are intereted in joining my reseaech group.
More informationPublications
Copyright Notice: Any articles made available for download are for personal use only. Any other use requires prior permission of the author and the copyright holder.
2022
- Luo M, Du B, Zhang W, Song T, Li K, Zhu H, Birkin M, Wen H. (2022) Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-agent Deep Reinforcement Learning Approach. [PDF]
- Luo M, Du B, Klemmer K, Zhu H, Wen H. (2022) Deployment Optimization for Shared e-Mobility Systems With Multi-Agent Deep Neural Search, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, volume 23, no. 3, pages 2549-2560, DOI:10.1109/TITS.2021.3125745. [PDF]
2021
- Luo M, Du B, Klemmer K, Zhu H, Wen H. (2021) Deployment Optimization for Shared e-Mobility Systems with Multi-agent Deep Neural Search. [PDF]
2020
- Luo M, Du B, Klemmer K, Zhu H, Ferhatosmanoglu H, Wen H. (2020) D3P, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, volume 4, no. 1, pages 1-21, DOI:10.1145/3381005. [PDF]
- Luo M, Zhang W, Song T, Li K, Zhu H, Du B, Wen H. (2020) Rebalancing Expanding EV Sharing Systems with Deep Reinforcement Learning, Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}, 11th - 17th Jul 2020, Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, DOI:10.24963/ijcai.2020/186. [PDF]
2019
- Luo M, Wen H, Luo Y, Du B, Klemmer K, Zhu H. (2019) Demand Prediction for Electric Vehicle Sharing. [PDF]
- Wu K, Du B, Luo M, Wen H, Shen Y, Feng J. (2019) Weakly Supervised Brain Lesion Segmentation via Attentional Representation Learning, DOI:10.1007/978-3-030-32248-9_24. [PDF]
- Du B, Lu CX, Kan X, Wu K, Luo M, Hou J, Li K, Kanhere S, Shen Y, Wen H. (2019) HydraDoctor, ICDCN '19: International Conference on Distributed Computing and Networking, Proceedings of the 20th International Conference on Distributed Computing and Networking, DOI:10.1145/3288599.3288635. [PDF]
