معرفی
Prof. Yifeng Zeng is a Professor and Head of Research & Knowledge Exchange&UoA 11 Lead in Northumbria University's Department of Computer and Information Sciences. He leads the Autonomous Systems research group, focusing on intelligent agents, deep learning, computational intelligence, and digital education. With a PhD in Engineering (2005), he has secured the EPSRC New Investigator Award (2019) and led Innovate UK projects. His work spans multiagent systems, healthcare AI applications, and data-driven decision models.
- Affiliations: Northumbria University, Autonomous Systems Group
Research Interests: His primary areas include probabilistic graphical models, reinforcement learning in multiagent systems, and AI-driven healthcare solutions like optical coherence tomography (OCT) for cancer diagnosis. He explores ethical AI through policy legibility and interpretable decision-making frameworks.
Publications: Recent work emphasizes multiagent learning strategies, spiking neural networks, and deep learning applications in medical imaging. His 2025 articles highlight advancements in legible agent policies and cooperative exploration methods.
- Awards: EPSRC New Investigator Award (2019)
Grants & Supervision: Co-Investigator on the Turing Network Development Award (2022). Supervises 2 researchers, focusing on autonomous systems and AI ethics. Leads projects integrating machine learning with healthcare diagnostics and educational technology.
Labs & Teams: Directs the Autonomous Systems group, collaborating on typhoon response systems and medical imaging AI. Active in interdisciplinary projects blending robotics, computer vision, and decision theory.
