Ruohan Wang

Ruohan Wang is a Senior Research Scientist at the Institute for Infocomm Research, A*STAR. Previously, he was a postdoctoral researcher at University College London (UCL), supervised by Prof. Massimiliano Pontil, and an applied scientist intern at AWS Berlin under Dr. Cedric Archambeau. He holds a Ph.D. in Machine Learning from Imperial College London, supported by the Singapore National Science Scholarship, under Prof. Yiannis Demiris and Prof. Carlo Ciliberto.

His research focuses on machine learning, including representation learning, meta-learning, continual learning, and imitation learning. He aims to develop robust ML systems that leverage existing knowledge for novel tasks and enable continuous improvement. Notable contributions include work on expert distillation, adversarial imitation learning, and real-time workload classification during driving.

Ruohan's articles span foundational topics like meta-representation learning, decision anticipation in autonomous systems, and collaborative human-robot storytelling. His work bridges theory and application, emphasizing human-centric AI systems.