NG-CDI - Key Persons

Job Titles:

• Professor in Asset Management, University of Cambridge Institute for Manufacture
• Professor of Asset Management at Cambridge University Engineering Department

Ajith Kumar Parlikad is Professor of Asset Management at Cambridge University Engineering Department. He is based at the Institute for Manufacturing, where he is the Head of the Asset Management Research group. He is a Fellow and Tutor at Hughes Hall. Ajith leads research activities on engineering asset management and maintenance. His particular focus is examining how asset information can be used to improve asset performance through effective decision-making. He actively engages with industry through research and consulting projects. He is currently the Scientific Secretary of the IFAC TC5.1 Working Group on "Advanced Maintenance Engineering, Services and Technology" and sits on the steering committee of the UK Digital Twin Hub. Ajith's current research focusses on the development and exploitation of digital twins of complex asset systems bringing together data from disparate sources to improve asset management.

Job Titles:

• Lecturer in Computer Networks and Networked Systems, Lancaster University

Charalampos is a Lecturer in Computer Networks and Networked Systems at Lancaster University. His research focus is in network service management and orchestration, network programmability and monitoring and cloud operating systems. Charalampos is a Senior Lecturer in Computer Networks and Networked Systems at Lancaster University. He holds a Ph.D. from the Computer Laboratory, Cambridge University. His research focus is in network service management and orchestration, network programmability and monitoring and cloud operating systems. He has published more than 30 peer-reviewed papers, including highly-cited survey papers on SDN and network service orchestration. He has been involved in national (EPSRC: MASTS, HOMEWORK, NaaS, INTERNET, TOUCAN, INITIATE), European (OFELIA) and international (DARPA: (MRC)2) research projects. He is an active contributor to many popular open-source projects relevant to SDN experimentation (OFLOPS, SELENA), open hardware (Blueswitch) and cloud OS (Mirage Unikernel).

Marco is Lecturer of Computer Science at the University of the West of England (UWE) Bristol and Research Collaborator of the Distributed Information and Automation Lab (DIAL) of the University of Cambridge, and his research has addressed challenges related to the design and evaluation of agent-based supervisory control architectures for the network infrastructure.

Job Titles:

• Co - Director
• Associate Professor at the Cambridge Judge Business School

Philip is an associate professor at the Cambridge Judge Business School, University of Cambridge, and Director of the Centre for International Human Resource Management. He has a long-standing interest in technology, culture, and leadership and has worked extensively with a number of public sector, private sector and third sector organisaitions, and works with boards of directors looking at issues of transformations.

Job Titles:

• Principal Investigator of NG - CDI
• Professor of Networked Systems at Lancaster University

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 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.

Job Titles:

• Professor of Statistics at Lancaster University

Idris Eckley is Professor of Statistics at Lancaster University, where he leads the Changepoints and Time Series group. His current research interests focus on the development of novel inference methods for streaming data, including the detection of changes and anomalies. Much of this work is inspired by, and feeds back into, real-world challenges faced by an array of industrial partners including BT, DSTL, Shell, the Office for National Statistics and Unilever. In addition to his work leading the Statistical activity within the NG-CDI Prosperity Partnership, he is Co-Director of the EPSRC-funded STOR-i Centre for Doctoral Training and PI on the £2.75M EPSRC Programme Grant `StatScale'.

Ning Wang received his PhD degree at University of Surrey in 2004 and he is currently a full-professor at the Institute for Communication Systems (ICS) at the University of Surrey. Ning is currently the Work Area leader of the Intelligent and High-performance Networking & Service Delivery at the 5G Innovation Centre hosted at Surrey. Ning's general research interests include 5G and beyond networking, Future Internet, network autonomics, multimedia content delivery, as well as Quality of Services (QoS) and Quality of Experiences (QoE).

Job Titles:

• Professor
• Professor at the University of Bristol

Rob is a Professor at the University of Bristol. His research expertise is in the areas of Connected Intelligent Systems, Wireless & Self-Learning Networks, Information and Communication Theory, Statistics and AI. He has published over 200 papers in international journals and conferences and holds 13 patents in these areas. Robert J Piechocki is Professor in the School of Computer Science, Electrical and Electronic Engineering, and Engineering Maths. His research interests span all areas of connected intelligent systems. His domain expertise is Connected and Automated Vehicles (CAV), and wireless sensing for eHealth. He has published over 200 papers in peer-reviewed international journals and conferences and holds 13 patents in these areas. Robert is leading wireless connectivity and sensing research activities for the IRC SPHERE project (winner of 2016 World Technology Award).

Job Titles:

• Chief Researcher in System Science

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.