I am currently a Lecturer in Data Science at the University of Manchester. I received my PhD in Computer Science (machine learning and optimisation) from the same university in 2015.

My primary research interests include Energy Market, Carbon Market, Smart Energy and Mobility, Machine Learning, Game Theory and Optimisation. I am a Fellow of British Computer Society (FBCS), member of EPSRC Peer Review College, and Senior Member of IEEE.

Message to Potential PhD students I welcome enquiries from potential applicants sharing similar research interests to mine, with strong academic background in Operational Research, Optimisation, Management Science, Economics, Computer Science, Data Science, Automatic Control/ Electronic/ Electrical Engineering, etc. If you are interested in pursuing your PhD under my supervision, please send me your academic CV via email.

Recent News

• [2024.04] I will join University of Exeter Business School (Department of Management) as a Senior Lecturer in the summer!
• [2024.04] Our recent collaborative work (with Oracle and Baylor University) on novel evolutionary computational apprach to wind optimal power flow problem has been accepted by Applied Soft Computing.
• [2024.03] Our recent work on open-set domain adaptation has been published in IEEE Transactions on Artificial Intelligence.
• [2023.12] Call for papers: Special Session on Computational Intelligence in Transactive Energy Management and Smart Energy Network (CITESEN 2024) within WCCI/IJCNN 2024 to be held in Yokohama, Japan, June 30 - July 5, 2024.
• [2023.11] Our developed distributed and privacy-preserving framework to non-intrusive load monitoring has been published as a research article in Renewable and Sustainable Energy Reviews.
• [2023.10] Our recent research investigating the dynamic relationships of building indoor thermal profiles, building physcial information, and external weather conditions has been published in Sustainability.
• [2023.06] Two papers have been accepted by IEEE Transactions on Engineering Management and Renewable and Sustainable Energy Reviews.
• [2023.04] Two papers have been accepted for presentation at IJCNN 2023.
• [2023.02] Congratulations to Shuang for successfully defending her PhD thesis! She will join University of Exeter as a postdoctoral researcher.
• [2023.02] Our recent work Learn to rotate: Part orientation for reducing support volume via generalizable reinforcement learning has been accepted for publication in IEEE Transactions on Industrial Informatics! Joint work with colleagues at EPSRC Future Advanced Metrology Hub in the University of Huddersfield.
• [2023.02] Call for papers: Special Issue: Artificial Intelligence (AI) for Smart Energy and Mobility with Energies. Submission deadline: 14 December 2023.
• [2023.02] Our invited paper Customised Multi-Energy Pricing: Model and Solutions has been published in Energies! Well done Qiuyi!
• [2023.02] Our work Process Knowledge-guided Autonomous Evolutionary Optimization for Constrained Multi-objective Problems has been accepted for publication in IEEE Transactions on Evolutionary Computation!
• [2023.02] Our work Data Augmentation with norm-AE and Selective Pseudo-Labelling for Unsupervised Domain Adaptation has been accepted for publication in Neural Networks!
• [2023.01] Our recent work Multiple dynamic pricing for demand response with adaptive clustering-based customer segmentation in smart grids has been published in Applied Energy!
• [2022.12] Call for papers: Special Session on Computational Intelligence in Transactive Energy Management and Smart Energy Network (Citesen 2023) with IJCNN2023, Queensland, Australia, June 18-23, 2023. Submission deadline: January 31, 2023.
• [2022.11] I was invited to give a talk on “Strategic modelling of electricity retailers in wholesale and local markets” in the Department of Engineering, Durham University
• [2022.11] Our paper A bilevel game-theoretic decision-making framework for strategic retailers in both local and wholesale electricity markets has been accepted by Applied Energy. Well done Qiuyi!
• [2022.09] I became Associate Editor of Journal of Intelligent & Fuzzy Systems.
• [2022.09] Our paper A benchmark for multi-class object counting and size estimation using deep convolutional neural networks has been accepted by Engineering Applications of Artificial Intelligence. Joint work with Zixu (Southampton) and Qian (Durham).
• [2022.08] I joined the Editorial Board of Complex & Intelligent Systems.
• Our paper “Customized Multi-energy Pricing in Smart Grids: A Bilevel and Evolutionary Computation Approach” has been accepted for presentation at The 21st UK Workshop on Computational Intelligence. Well done Qiuyi!
• Our paper Online Model-based Functional Clustering and Functional Deep Learning for Load Forecasting Using Smart Meter Data has been accepted for presentation at 5th International Conference on Smart Energy Systems and Technologies. Well done Shuang!
• Our paper Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning has been accepted by Applied Intelligence. Well done Shuang!
• I am invited to speak at IEEE ISGT Europe 2022 on smart meter data analytics in the Super Session “AI for Active Power Distribution”.
• I am joining Alliance Manchester Business School, University of Manchester as Lecturer in Data Science from August 2022!