Professor Nicholas Race.
Network Systems, University of Lancaster. Academic Principal Investigator for NG-CDI.
Nicholas Race is Professor of Networked Systems at Lancaster University. His research focuses on developing future networking services built upon Software Defined Networks and Network Functions Virtualisation. This includes new techniques to enhance the Quality of Experience of media streaming and support for the detection and remediation of network anomalies.
Nick's research area is focused on the use of Software Defined Networking (SDN) and Network Functions Virtualisation (NFV) for a range of new networking services, with a particular emphasis on the benefits to security, monitoring and media distribution.
The application of SDN for security builds upon his previous work in developing lightweight intrusion detection mechanisms and security monitoring for Wireless Mesh Networks. In particular, recent research considers new approaches to security detection and remediation that have been made possible through the introduction of Software Defined Networking. Nick's current work investigates how the combination of multi-stage monitoring techniques alongside SDN allows for the dynamic provisioning of resources in response to evolving monitoring conditions. Notably, his work in this area has led to the TENNISON framework which has recently been published and released as open-source software for the benefit of the security community.
Nick is the principal investigator of NG-CDI, an EPSRC/BT funded Prosperity Partnership. He is also the principal investigator at Lancaster of 5GRIT & INITIATE, and co-investigator of the EPSRC TOUCAN Programme Grant. Previously Nick was the principal investigator at Lancaster of the MPAT, FI-CONTENT2, STEER, GN3plus, Fed4FIRE, OFELIA and P2P-Next EU projects.
Stephen Cassidy MA MInstP CEng FIET
System Science, BT Applied Research. Industry Principle Investigator for NG-CDI.
Stephen Cassidy is Chief Researcher in System Science at BT, with a particular interest in the relationship between people, information technology and organisational structure in determining enterprise culture and effectiveness. This multi-disciplinary programme combines research into AI, data-driven decision tools, self-learning systems, human behaviour and culture. The work feeds into operational areas across BT Group.
He returned to research to build this programme after a number of roles in different areas of BT including computer controlled networks, platform strategy, technical marketing, proposition development and programme management. He had originally started his career in optical communications research during which he published around 60 papers and 4 book chapters on optical technology, generating nearly 60 patents and winning the Queen’s Award for Industry.
He lectures on the MBA programme at the School of Economics and Management at Tsinghua University, Beijing, on the Information Systems and Digital Innovation course at the London School of Economics and Political Science, and on the Executive Education programme of the Cambridge Judge Business School. He is an Advisory Board Member of the Oxford/OU/Cambridge Universities Arts and Humanities Doctoral Training Partnership; the Leeds University Business School MSc programme on Information Management and Information System; and the Human Capital Analytics Center of the Conference Board. He is a Member of the Institute of Physics and a Fellow of the Institute of Engineering Technology.