The TAS-S Team

TAS-S assembles a cross-disciplinary team of internationally reputed security experts from Lancaster and Cranfield Universities who are based across a wide range of research areas including Distributed Systems, Communications, Controls, AI, Sociology and Law.

Lancaster University

Prof Neeraj Suri (Cyber Security), Project PI
Prof. Suri holds the Distinguished Professorship and Chair in Cybersecurity, and co-directs the university-wide Security Institute.  His research spans the design, analysis and assessment of trustworthy cloud systems and software. Email

Prof. Corinne May-Chahal (Sociology)
Prof. May-Chahal is an applied social scientist dedicated to keeping children and adults safe in a digital world.  Her focus is on the socio-technical aspects of human security through developing and applying new technologies. Email

Prof. Plamen Angelov (Intelligent Systems)
Prof. Angelov holds a Chair in Intelligent Systems and is the department’s Director of Research.  His research interests cover autonomous learning, evolving systems, and explainable by design prototype-based deep learning. Email

Prof. Catherine Easton (Law)
Prof. Easton’s research includes internet governance,  intellectual property, access to technology and human/computer interaction.  She has also published an analysis on the regulatory and legal landscape of autonomous vehicles. Email

Dr. Joe Deville (Sociology)
Dr. Deville is based jointly in the department of Sociology and the Management School (Organisation, Work and Technology).  His research includes disaster preparedness and the production/materialisation of risk. Email

Prof. Daniel Prince (Cyber Security)
Prof. Prince specialises in Cyber Risk Management and Network Security in complex socio-technical systems, particular cyber physical systems and the financial services sector.  Email

Pamela Forster (Project Manager)
Pamela is responsible for the day-to-day management of the project including the organisation of meetings and events, financial monitoring and reporting, and supporting the dissemination of public outputs. Email

Dr. Zhengxin Yu, (Senior Research Associate)
Dr. Yu received her PhD in Computer Science from the University of Exeter.  Her research interests focus on federated learning, deep learning, multi-access Edge Computing and the Internet of Things. Email

Photo of Dr. Andrew Sogokon

Dr. Andrew Sogokon (Senior Research Fellow).
Dr. Sogokon completed his PhD at the University of Edinburgh. His  research is in the area of cyber-physical systems, particularly formal modelling and verification of so-called hybrid systems.  His research interests include non-linear ODEs, formal verification, optimisation, autonomous systems, data-driven control and rigorous analysis of modern control systems.  Email

Pierre Ciholas (Research Associate)
Pierre is currently completing his PhD in Building Management Systems and Industrial Control Systems.  His research interests include Cyber-Physical Systems Security, Malware, and Network Communications and Systems Security. Email

Yi Li standing by a wall with the sea behind him

Dr. Yi Li (Senior Research Associate).

Dr. Li received his B.Sc. degree in 2017, from the University of Electronic Science and Technology of China, and M.Sc degree in 2018 from Newcastle University. His PhD thesis is on “Deep learning-based methods for monaural speech enhancement”.  Email

Dr. Luke Moffat (Research Associate)
Dr. Moffat completed his PhD in Philosophy at the University of Kent.  His research intersects the ethics of technology, nature-philosophy and more-than-human perspectives.  He currently works with Mobilities Research as well as Ethical, Legal and Social Issues (ELSI) of Autonomous Systems. Email 

Photo of Xavier Hickman

Xavier Hickman (PhD Candidate)
Xavier is currently undertaking his PhD in the field of interpretable deep learning. His research interests also include evidence based logic, explainable AI, distributed systems and multi-modality data fusion for deep learning. Email

Photo of Alvaro Lopez Pellicer with the sea in the background

Alvaro Lopez Pellicer (PhD Candidate)
Alvaro graduated in computer science from Lancaster University. He has been researching  human hand interrogation, deep learning methodologies and classification techniques. His research is currently focused on autonomous learning, evolving systems, and explainable deep learning. Email

Juliana Michelon Alvarenga (affiliated PhD Candidate)
Juliana is currently undertaking her PhD in Sociology with a research focus on posthumanism and modern systems theory as a theoretical framework for investigating distributed cognition in human-machine systems. Email

Ovini Gunasekera (affiliated PhD Candidate)
Ovini is currently undertaking her PhD in compositional specification and verification of security properties in Cyber-Physical Systems. Her research interests include formal specification and modelling, formal verification, Emergent behaviour and properties, Airborne Collision Avoidance System (ACAS). Email

Cranfield University

Prof. Weisi Guo (Machine Intelligence)
Prof. Guo is the Director of the Smart Living Grand Challenge and the Head of  the Applied AI Group.  His research designs data-driven solutions for socio-cyber-physical ecosystems and how these can be designed for challenging environments or tasks, whilst integrating human domain knowledge. Email

Prof. Gokhan Inalhan (Autonomous Systems)
Prof. Inalhan’s research covers the design, modelling, GNC, resilience, and security aspects of autonomy and AI for air, defence, transportation and space systems, as well as explainable AI for trustworthy autonomous systems. Email

Prof. Antonios Tsourdos (Autonomous Systems)
Prof. Tsourdos is the Head of the Autonomous and Cyber-Physical Systems Centre.   His research into autonomous vehicles includes guidance, control,  navigation,  mission planning,  and decision making.  He also researches cyber-physical systems. Email

Dr. Lisa Dorn (Behavioural Science)
Dr. Dorn is an Associate Professor of Driver Behaviour and Director of the Driving Research Group.  Her main interests are the design and evaluation of interventions to improve driver safety. Email

Dr. Burak Yuksek (Research Fellow)
Dr. Yuksek’s research focusses on mathematical modelling, guidance,  navigation and control (GNC) systems for fixed-wing and rotary-wing aerial platforms.  His current work includes adaptive control theory, reinforcement learning applications on flight control systems and motion planning for urban air mobility and  air defence. Email

Dr Zhuangkun Wei (Research Fellow)
Dr. Wei has recently completed his PhD at Warwick University.  His research interests include Secure Wireless Communications and Explainable Artificial Intelligence (X-AI) for digital aviation. Email

Dr. Anders af Wåhlberg (Research Fellow)
Dr. af Wåhlberg  has an MA and PhD in Psychology and a Bachelor’s degree in History from Uppsala University (Sweden). His main research areas are in driving behaviour (including ecodriving and training) and safety, as well as methodological problems in social science. He is also a specialist on evaluations of interventions and meta-analysis. Email