معرفی
Dr. Dan Wu is an Associate Professor at the School of Computer Science, University of Windsor. His research focuses on uncertain reasoning, machine learning, knowledge representation, and robotics. He holds a PhD from the University of Regina (2003). His work bridges theoretical advancements and practical applications in robotics, traffic systems, and probabilistic inference.
Education:
- PhD in Computer Science, University of Regina, 2003
Research Interests:
- Machine Learning: Focused on deep learning models for traffic prediction and robotics.
- Uncertain Reasoning: Developing probabilistic methods for cooperative robotic systems.
- Robotics: Multi-robot coordination, navigation, and obstacle avoidance.
- Knowledge Representation: Applications in distributed Bayesian networks and graph-based systems.
Publications Trends: Recent work emphasizes urban traffic management (reinforcement learning for signal control), vehicular networks (task offloading in 5G), and privacy-preserving federated learning. Earlier studies addressed multi-robot coverage algorithms and probabilistic localization techniques.
Lab/Teams: Active in AI-driven robotics and intelligent transportation systems research, though specific lab names are not explicitly mentioned in the provided texts.
