Shihan Wang

Dr. Shihan Wang is an Assistant Professor at Utrecht University's Faculty of Science, Department of Information & Computing Sciences, specializing in Intelligent Systems. Their research balances theoretical development and practical application, focusing on human-centered artificial intelligence and reinforcement learning.

Wang's expertise spans Artificial Intelligence, Machine Learning, Data Mining, Computational Social Sciences, and Social Networks, with a particular emphasis on applying these fields to healthcare (e.g., diabetes and dementia care), behavioral science (e.g., physical activity promotion), and social network analysis.

• 2025 Articles: Efficient dialogue policies with evolutionary techniques • Factorized communication in multi-agent systems • Sparse communication frameworks
• 2024 Highlights: Goal-shaping for dialogue systems • Reward structure learning • Taxonomy induction with multi-critic RL

Scientific contributions are recognized through a University Teaching Qualification (2020) and a Teaching Prize (2021-2022). Currently, they coordinate the Applied HAI special interest group and participate in The Hybrid Intelligence Center and Benelux Association for Artificial Intelligence.

Teaching activities include Advanced Machine Learning (lecturer 2020-2023), Applications of Machine Learning (2020-2022), and program coordination for the Artificial Intelligence MSc since 2022.