Yingke Chen received his PhD degree in the Department of Computer Science, Aalborg University in 2013. His research interests include Artificial Intelligence (in particular, multiagent learning and its applications in computer games) and Formal Methods (in particular, machine learning-based model checking). Currently, he is developing multi-agent systems where each intelligent agent can interact with others by reasoning, learning and planning. More importantly, each agent's behaviour could be verified and explained. Such explicit opponent modelling not only statistically approximates observed behaviours but also serve as a vehicle to formally address the security and reliability aspects of intelligent systems. Most of his work appears in well-known AI/ML journals and prestigious AI/FM conferences. He serves in program committee for top international conferences like IJCAI, AAAI and AAMAS, and reviews articles for a wide range of journals including several IEEE Transactions.

Besides conducting fundamental research, he is also interested in addressing emerging business challenges with AI/ML techniques. So far, he has been involved in several Innovate UK funded Knowledge Transfer Partnerships (KTP): A Game-based E-learning Platform for Language Training, 2018; E-commerce Platform Performance Improvement, 2019; Collaborative Planning for Hybrid AUV (Autonomous Underwater Vehicle) Systems, 2019. To further generate research impact, he also collaborates with computer game companies on NPC decision making and interactive narrative.