Keivan Navaie

Keivan Navaie holds the position of Chair Professor in Intelligent Networks at the School of Computing and Communications, Lancaster University. Simultaneously, he serves as the Principal AI Technology Consultant at the Information Commissioner’s Office in the UK. With a primary focus on Human-Centered AI, he spearheads UK regulatory activities, concentrating on safeguarding data privacy rights.

Keivan possesses a diverse research portfolio aimed at pioneering interdisciplinary solutions to address fundamental technical and design challenges within intelligent cyber-physical systems and their applications. His research spans various domains, including Deep Learning, privacy-enhancing AI, AI Regulations, distributed and federated AI, connectivity resilience in cyber-physical systems and the IoT, applications of machine learning and artificial intelligence, cognitive communications networks, and cryptosystems.

Having secured leading research grants exceeding £2 million as the Principal Investigator, funded by EU and UK-based agencies, Professor Navaie has demonstrated his commitment to advancing cutting-edge research. He actively contributes to the academic community, holding positions on the editorial board of IEEE Transactions on Wireless Communications and the IEEE Technical Committee on Cyber-Physical Systems.

In addition to his academic engagements, Professor Navaie plays a crucial role in evidence-based policy-making, collaborating with organizations such as the United Nations’ International Telecommunications Union (ITU), the EU Environment Agency, The Information Commissioner’s Office, and the EU Parliament. Actively engaging with industry, Professor Navaie provides technical consultancy to prominent players in communication technology, including HUAWEI, Dolby, BT, and various UK-based SMEs. Recognized for his contributions, Professor Navaie is a Fellow of the Institution of Engineering and Technology (IET), a Chartered Engineer in the UK, and a Senior Fellow of the Higher Education Academy (HEA).