Kun Yang

Kun Yang is Chair Professor at the University of Essex, UK, leading the Network Convergence Laboratory (NCL) and Communications and Networks Research Group since 2003. He has held academic roles at Essex since 2003, including Lecturer (2003-2008), Reader (2008-2011), and Chair Professor (2011-present).

• Fields: Internet of Things, wireless networks, data-energy integrated communication networks, and 6G technologies
• Labs: Founder of the Network Convergence Laboratory (2008)
• International Collaborations: Affiliated Professor at UESTC (China), active in EU FP7/H2020 projects

His research focuses on energy self-sustainability in communication systems through energy efficiency and harvesting via resource allocation and joint optimization. Experimental work is conducted in his NCL laboratory.

Recent publications span neuroscience-inspired AI, including neural sampling, cognitive maps, spiking neural networks, and secure machine learning architectures. These works intersect with Computer Science, Neuroscience, and Artificial Intelligence.

• 2025: Neural sampling for cognitive modeling
• 2024: High-dimensional prediction-learning
• 2023: Sparsity in forward-forward algorithms

Professional Recognition:

• Fellow of IEEE, IET, BCS, HEA, and RSA
• IEEE ComSoc Distinguished Lecturer (2020-2021)
• Judicial role: GSMA GLOMO Awards Judge (2019-present)

Research Leadership:

• Essex Principal Investigator in over 10 EU FP7/H2020 projects
• Founder of IEEE InterCloud Testbed Executive Committee