Peng Wang

Dr. Peng Wang is a Lecturer in the Department of Computing and Mathematics at Manchester Metropolitan University. Previously, he held postdoctoral positions at the University of Sheffield (UK) and University of Technology of Compiègne (France), and served as Deputy Director at a joint laboratory between University of Science and Technology of China and E-THINK. His research spans robotics, machine learning, and sustainability applications.

Research Focus: Dr. Wang's work centers on three core areas:

• Autonomy: Human-robot interaction, autonomous driving in uncertain environments, and LiDAR/vision-based navigation systems
• Sustainability: Scalable ML models (Gaussian Processes, Deep Learning) for traffic forecasting and air quality monitoring
• Manufacturing: Digital twins for collaborative manufacturing and IoT solutions for industrial processes

Publication Trends: His recent articles (2019-2021) predominantly focus on uncertainty quantification in machine learning, autonomous vehicle localization, robotics navigation, and industrial applications. Key methodologies include Gaussian processes, Bayesian neural networks, and sensor fusion techniques.

Projects & Supervision: Currently leads two projects: 3D human modeling for human-robot collaboration and environmental monitoring systems. Accepts student researchers across robotics, ML, and human-robot interaction domains. Teaches graduate courses in Artificial Intelligence Principles and Robotic Science.