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Since 12 March 2025
Chixin Xiao (Senior Member, IEEE) received his Master’s degree in Computer Science from Xiangtan University, China, in 2004, and his first Ph.D. in Computer Application Technology from Central South University, China, in 2009. In August 2021, he earned his second Ph.D. in Power Engineering from the University of Wollongong, Australia. He has held academic positions at the University of Essex, U.K., the University of Newcastle, Australia, and Hong Kong Cyberport. Currently, he is a Professor of Computer Science at Xiangtan University, where he continues to work due to COVID-19-related constraints. His research interests focus on computational intelligence and its applications in power engineering, with an emphasis on smart grid resilience, power system planning and modelling, and modern optimization theory and its applications in Smart City initiatives.
My representative publications
My representative publications
[1] C. Xiao, D. Sutanto, K. M. Muttaqi, M. Zhang, K. Meng and Z. Y. Dong, "Online Sequential Extreme Learning Machine Algorithm for Better Predispatch Electricity Price Forecasting Grids," in IEEE Transactions on Industry Applications, vol. 57, no. 2, pp. 1860-1871, March-April 2021, doi: 10.1109/TIA.2021.3051105.
[2] C. Xiao, D. Sutanto, K. M. Muttaqi and M. Zhang, "A Judicious Decision-Making Approach for Power Dispatch in Smart Grid Using a Multiobjective Evolutionary Algorithm Based on Decomposition," in IEEE Transactions on Industry Applications, vol. 56, no. 2, pp. 1918-1929, March-April 2020, doi: 10.1109/TIA.2019.2960478. (Reference Code1 | Reference Code2)
[3] C. Xiao, D. Sutanto, K. M. Muttaqi, and M. Zhang, “Multi-period data driven control strategy for real-time management of energy storages in virtual power plants integrated with power grid,” International Journal of Electrical Power & Energy Systems, vol. 118, p. 105747, Jun. 2020.
[4]Xiao, Chixin, Improving Resilience in Smart Grids Using Advanced Predictive Analytics and Computational Intelligence Optimization, Doctor of Philosophy thesis, School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, 2021. https://ro.uow.edu.au/theses1/1137 (To be open-downloaded on 30 Apr 2024)
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My homepages associated to my research:
My homepages associated to my research:
Using generative AI for research:
Using generative AI for research:
My students are encouraged to use generative AI productively and responsibly for the purpose of learning and researching.
ChatGPT(Useful for everyday tasks)
Copilot for Web (Useful for everyday tasks around learning, assessment, etc.)
Liner( A reliable AI search engine for research, assignments, and professional work.)
Research Rabbit(Data visualisation to track sources/citation mapping)
Inciteful(Uses citation chaining to find articles that have referenced your key papers)
SemanticScholar(Can be used to find journal articles on a topic)
LLM4AD (Large Language Model for Algorithm Design)
QuillBot(Aids in generating synonyms and paraphrases existing writing to improve sentence structure)
Deepseek,etc.
Benchmarks:
Benchmarks:
Benchmarks for Evaluation of Evolutionary Algorithms | IEEE Dataset | solar generation forecasting | Multi-objective Optimization
Benchmarking Multiobjective Optimizers 2.0 | Risk-based Energy Scheduling | Risk-based Energy domain |
BESOS:Building and Energy Systems Optimization and Surrogate-modelling
My Teaching about Artificial Intelligence:
My Teaching about Artificial Intelligence:
Searching | Evolutionary algorithm | Neural Networks |...
Flagship Labs
Flagship Labs
Optimal Learning(Princeton University) | | PENSA(Princeton University) |Renewable Energy Analysis Lab(University of Washington)| Multi-agent System Lab | The Alan Turing Institute |VUB Artificial Intelligence Lab | UTCS Artificial Intelligence | AIRG Multi-Agent Systems Webliography | Multi-Agent System Resources (NTU SG)
State-of-the-Art Research in Integrated Energy Storage Solutions
State-of-the-Art Research in Integrated Energy Storage Solutions
Prof. Joe Dong | Publications
State-of-the-Art Research in Computational Intelligence
State-of-the-Art Research in Computational Intelligence
Prof. Guangbin Huang | ELM Homepage | ELM |ELM for Classification and Regression| Make Sense ELM in 5 mins
Prof. Ponnuthurai N. Suganthan | Code resource |Code (all files)
Prof. Qingfu Zhang | MOEA/D Web | MOEA/D Codes
Prof. Xin Yao | Publications
Prof. Carlos A. Coello Coello |Publications
Prof. Yaochu Jin | Publications | Soft Computing
...
Useful Stuff
Useful Stuff
My supervisors, and a few research friends:
My supervisors, and a few research friends:
My research trajectory during past decades(2001-present)
My research trajectory during past decades(2001-present)
Xiangtan University(2001-2004)
Central South University(2005-2009)
University of Essex(2010-2011)
University of Newcastle, AU(2014-2016)
University of Wollongong(2016-2020)
Cyber port, Hong Kong (2022)
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