Meng Fang

Meng Fang is an Assistant Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology. Their research focuses on artificial intelligence, machine learning, deep reinforcement learning, robotics, and data mining. Key areas include neurosymbolic reasoning, neural network training, and applications in robotics and construction automation.

They have received accolades such as the Best Paper Award of LoG 2022 (shared) and were a finalist for the IEEE CASE2021 Best Student Paper Award. Research collaborations span topics like autonomous agents, generalization in reinforcement learning, and benchmark design for AI systems.

Meng Fang has supervised 15 academic works and contributed to over 20 research outputs since 2021, with 80 Scopus citations. Their work addresses challenges in level difficulty adaptation, kernel-based neural architectures, and real-time construction planning with robots.