Team

Emil Lupu is Professor of Computer Systems in the Department of Computing at Imperial College London where he leads the Academic Centre of Excellence in Cyber Security Research and the Resilient Information Systems Security (RISS) Group. He is also a Security Science Fellow with Imperial's Institute for Security Science and Technology

Luis is a Research Associate in the Department of Computing at Imperial College London. He received his PhD from University Carlos III of Madrid (Spain) where he proposed novel Gaussian process models for non-stationary and heteroscedastic regression. His background includes machine learning and cyber-security. His current research interests are adversarial machine learning and security risk assessment with attack graph models.

Zaid has received his PhD in Electrical and Electronic Engineering from Imperial Collage London in 2020. He is working on adversarial machine learning challenges in federated machine learning settings and in particular on poisoning attacks and defences.

Marwa Salayma is working on the resilience of systems, Internet of Things (IoT) and cybersecurity. Before joining Imperial College London, she worked as a research associate in Heriot-Watt University and was part of two collaborative projects related to underwater acoustic sensor networks

Kenny joined the group as a PhD student in April 2018. He received an MSc in Machine Learning from Imperial College London and an MA in Mathematics from Johns Hopkins University. His general interests are in machine learning, cryptography, and mathematics. His current research is on the security of machine learning algorithms, primarily adversarial machine learning. He is also interested in health or lifestyle optimization, and is very much into enjoying good food.

Luca joined the group as PhD student on the HiPEDS CDT in October 2018. He received his MSc in Computer Science and Engineering from University of Napoli Federico II, defending his thesis entitled "Negotiation of traffic junctions over 5G networks". The thesis work has been carried out at Ericsson, Gothenburg (Sweden), within a joint project between University of Napoli Federico II, Chalmers University of Technology and Ericsson. He strongly believes in open source development and he currently is a mentor within the Open Leadership Programme offered by Mozilla. His research interests are on the edge between cybersecurity and control engineering. In particular, his studies aim to investigate resilience of networked systems and industrial plants against cyberattacks.

Jukka was a PhD student in the RISS group participating in the HiPEDS CDT. He has recently successfully completed his PhD and is continuing within the group as a Research Associate. His current research interests are in ways to measure and improve the cyber-resilience of partially compromised networks, and in network risk analysis using attack graphs. Jukka holds an MSc in Computing Science from Imperial College London, and degrees in economics from the University of Oxford and the University of St Andrews.

Federico received his MSc in Engineering in Computer Science from University of Ferrara. He is interested in Protocol Modelling, in particular applied to SCADA Networks. His work is focused on listening to the communication between two hosts and trying to extract information on the message format and state machine of the protocol.

Mohammad GhasemiGol is an associate researcher at the Imperial College London, UK. He is also served as an assistant professor of computer engineering at the University of Birjand, Iran, since 2016. He was the IT director and the director of the Computer Emergency Response Team (CERT) at the University of Birjand for more than five years. From November 2014 to July 2015, he was with the Information Security and Privacy: Interdisciplinary Research and Education (INSPIRE) Lab at the University of North Texas, US, as a visiting research scholar. His research is focused on various aspects of cybersecurity and machine learning area including incident handling, intrusion detection and response system, insider threats, alert management, clustering and classification methods, deep learning and explainable AI algorithms, and biomedical data analysis. He is a reviewer in many reputable journals such as Applied Soft Computing, Computers & Security, Computer Communications, Journal of Network and Computer Applications, etc.