Members

Chen-Liang FAN is the Head of MEVIC Lab and a Principal Research Scientist. His research focuses on mechatronic systems, computer vision, intelligent sensing, and visual computing.

Hao AN is a Senior Research Scientist (Visiting) at MEVIC Lab. He received his MPhil degree in Computer Science from Peking University. His research focuses on the foundations and methodologies of AI agents and large language models, with an emphasis on learning mechanisms, training paradigms, and model reliability. His work on agents examines self-evolving agents and reinforcement learning based training, particularly the mechanisms underlying capability evolution, optimization, and autonomous adaptation. His work on large language models explores multimodal learning and modeling, as well as hallucination detection and mitigation, with the aim of improving model robustness and reliability.

Aaron ZHU is a Research Scientist at MEVIC Lab. He received his MSc degree in Computer Science from the University of Warwick and has an interdisciplinary background in engineering management. His research focuses on large language models, knowledge graphs, intelligent manufacturing, and human-computer interaction, with an emphasis on AI systems and intelligent decision making. His work on interactive systems investigates the impact of digital interaction on human attention through tracking techniques. His recent research explores the applications of large language models in advanced manufacturing, including enterprise knowledge management, quality analysis systems, and intelligent workflows. He further investigates the integration of knowledge graphs and AI agents for decision making and closed-loop manufacturing.