LOG is under the OPtimisation and Learning Laboratory (OPAL) led by Prof. Xin Yao.







Jialin is an Assistant Professor at the Department of Computer Science and Engineering (CSE) of the Southern University of Science and Technology (SUSTech), China. She worked as a Research Assistant Professor and Research Associate Professor at SUSTech between 2018 and 2021. Before joining SUSTech, she was a Postdoctoral Research Associate at Queen Mary University of London (QMUL, UK) and one of the founding members of the Game AI Group (GAIG) created in August 2017. She received her Ph.D. Degree in Computer Science from the Inria Saclay and the Université Paris-Saclay (France) in December 2015 and a Master degree in Bioinformatics and Biostatistics from the École Polytechnique and the Université Paris-Sud (France) in 2013. Her research interests include, but not limited to the following areas: AI in Games (AI for playing games, AI for designing games, particularly procedural content generation), optimisation under uncertainty (derivation-free optimisation, dynamic resampling strategies, algorithm portfolio, etc.), evolutionary computation and its applications, such as vehicle routing problems.




He is currently a postgraduate student in the Southern University of Science and Technology. His research interests include multi-objective optimisation and fairness in machine learning.













Postgraduate. Graduated from CSE, SUStech in 2020. Research interests include vehicle sechduling problem, evolutionary computation and algorithm portfolios.




He received his B.S degree in computer science from the Southern University of Science and Technology (SUSTech), Shenzhen, China, in 2021. He is currently pursuing the M.S degree from SUSTech. His current research interests include game AI, evolutionary computation and combinatorial optimization.





He is a postgraduate student at the Department of Computer Science and Engineering of Southern University of Science and Technology (SUSTech). He received the B. S. degree in Computer Science and Technology from SUSTech in 2021. His research concentrates on Procedural Content Generation through AI methods including Deep Reinforcement Learning, Generative Adversarial Networks and Evolutionary Computation.





He is currently a postgraduate student at the Department of Computer Science and Engineering of Southern University of Science and Technology (SUSTech). He received his B.S degree in computer science from SUSTech in 2022. His research interests include Adversarial Learning, Trustworthy AI and Concept Drift.





Intern at Parametrix in 2022.





















He is currently a PhD student of the University of Birmingham, UK. He received the B.E. degree from China University of Mining and Technology in 2017 and MA.Sc degree from Joint Program of Southern University of Science and Technology and Harbin Institute of Technology in 2019. His research interests include meta-heuristics, dynamic optimisation and surrogate-assisted evolutionary algorithm and their applications in arc routing problems.






Currently a PhD candidate at the Virginia Polytechnic Institute and State University.




Currently at NetEase Games.

Currently a master student at SUSTech, intern at Tencent in 2020.



Currently at Yotta Games; tntern at Tencent in 2020; intern at Wiqun in 2019.



Currently a master student at SUSTech.



Currently a master student at SUSTech.



Currently a master student at Shenzhen University.







He is currently an undergraduate student at Rensselaer Polytechnic Institute, USA. He joined our research group as a visiting scholar for three months working on topological architecture.



Master student from University of Nottingham, UK.