Education
- Ph.D. in Electrical and Electronic Engineering Research (Thesis title: Shapley Value Based Multi-Agent Reinforcement Learning: Theory, Method and Its Application to Energy Network), Imperial College London, UK, 2019-2023
- M.Res. in Web Science and Big Data Analytics, University College London, UK, 2017-2018 (Distinction)
- M.Sc. in Computing (Machine Learning), Imperial College London, UK, 2016-2017 (Merit)
- B.Eng. in Computer Science and Electronic Engineering, University of Liverpool, UK, 2012-2016 (First-Class Honours Degree)
Work Experience
- 02/2023 - Now: Postdoctoral Research Associate
- Center for AI Fundamentals, The University of Manchester, UK
- Duties: Working on ad hoc teamwork and multi-agent reinforcement learning
- Line Manager: Prof. Samuel Kaski
- 09/2021 - 05/2022: Graduate Teaching Assistant
- Imperial College London, UK
- Duties: Working as the graduate teaching assistant for an undergraduate course: ELEC60019 Machine Learning and a graduate course: ELEC60009 Deep Learning
- 11/2020 - 03/2021: Part-Time Research Internship
- Huawei London Research Center
- Duties: Investigating the switching control mechanism for reward shaping in reinforcement learning.
- Line Manager: Dr. David Mguni
Academic Service
- 2023, Reviewer for ICML, NeurIPS, ICLR, AAAI, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Smart Grid, IEEE Transactions on Power Systems, Applied Energy
- 2022, Reviewer for ICML, NeurIPS, ICLR, IEEE Transactions on Smart Grid, IEEE Transactions on Power Systems
- 2021, Reviewer for ICML, NeurIPS, ICLR