Yingke Chen

Dr. Yingke Chen is an Associate Professor at the Department of Computer and Information Sciences, Northumbria University. He holds a PhD in Computing Science from Aalborg University (Denmark) and has conducted postdoctoral research at Queen’s University Belfast (UK) and Georgia University (USA). His research focuses on Artificial Intelligence, particularly machine learning, multiagent systems, and formal methods such as model checking. He has secured over £1.3M in Innovate UK grants, collaborating with industries in transportation, logistics, autonomous systems, and e-commerce to apply AI and data science for business growth.

Education: PhD in Computing Science (Aalborg University, 2013). Key research areas include machine learning applications, formal verification, and data-driven decision-making. He has published in top venues like Journal of AI Research, AAMAS, AAAI, and IJCAI.

Collaborations involve projects with businesses to address real-world challenges, emphasizing practical solutions through theoretical advancements. His work spans anomaly detection, autonomous systems, and cross-domain data analysis. He is open to supervising PhD students and engaging with media inquiries.

• Research Grants: Over £1.3M in Innovate UK funding (PI/Co-I).
• Industry Partnerships: Transportation, logistics, autonomous underwater vehicles, education, and e-commerce sectors.

Labs/Teams: Actively involved in interdisciplinary teams applying AI to industrial challenges, though specific lab names are not mentioned.