Mohammad GhasemiGol

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.

Marwa Salayma

Marwa Salayma is performing cutting-edge research for the resilience of systems, Internet of Things (IoT) and cybersecurity at RISS group. 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: 1) Harvesting of Underwater Data from SensOr Networks using Autonomous Underwater Vehicles (AUV) (HUDSON) and 2) Smart dust for large scale underwater wireless sensing (USMART).

Marwa received the PhD degree from Edinburgh Napier University in 2018 and her PhD topic was in the field of Wireless Body Area Networks (WBAN), and the M.Sc. degree in Computer Science from Jordan University of Science and Technology in 2013, and the BEng (Hons) degree in Electrical Engineering from Palestine Polytechnic University in 2007.  Besides security, resilience and reliability of dynamic systems, her research interests are in (but not limited to) wireless communication technologies deployed in different network environments, eHealth, network layer stack protocols including cross layering algorithms, energy efficient communication, reliable scheduling, and QoS provisioning in wireless networks.

Muhammad Zaid Hameed

Zaid joined the group as a Research Associate in May 2020. His activities focus on federated learning and adversarial machine learning.

Luca Maria Castiglione

Luca joined the group as PhD student on HiPEDS 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.

You can also find him on Linkedin.

Kenneth Co

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.

Find him on LinkedIn.

Javier Carnerero Cano

Javi joined the group as a PhD Candidate in May 2018. He received his MEng in Telecommunications Engineering and his MRes in Multimedia and Communications from Universidad Carlos III de Madrid (Spain).

He is currently interested in adversarial machine learning, aiming to investigate the security of machine learning algorithms (with special focus on data poisoning attacks); bilevel optimization problems; Generative Adversarial Networks (GANs); and applications of machine learning in security.

You can also find him on his personal website, LinkedIn, Google Scholar, ResearchGate and GitHub.

Jukka Soikkeli

Jukka is currently a PhD student in the RISS group participating in the HiPEDS CDT. 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.

Luis Muñoz González

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. You can find more details about his current research activities and contact information at his personal web page, Google Scholar profile or Researchgate.

Federico Morini

Federico received his MSc in Engineering in Computer Science from University of Ferrara. He joined the group in 2014 and is working towards a PHD. 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.


Emil Lupu

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 a Security Science Fellow of the Institute for Security Science and Technology and served as the Deputy Director of the PETRAS Centre until January 2021.

His research interests focus on the cyber security and resilience of systems including their physical, digital and human characteristics and their ability to continue operating even when they have been partially compromised. Emil has made numerous contributions in the area of policy-based network and systems management and security  including the Ponder and Ponder2 policy systems, policy analysis refinement, deployment, implementation and learning.

He serves on the editorial boards of the IEEE Transactions on Network and Service ManagementJournal of Network and Systems Management and the International Journal of Network Management, and on the program committee of numerous conferences.

Emil obtained his PhD from Imperial College London and his first degree from the ENSIMAG (École Nationale Supérieure d’Informatique and Mathématiques Appliquées de Grenoble).