Dr Ashraf Tantawy

Job: Senior Lecturer

Faculty: Computing, Engineering and Media

School/department: School of Computer Science and Informatics

Address: The Gateway House, Office GH 5.32, Leicester LE1 9BH, UK

T: +44 (0) 116 257 7776

E: ashraf.tantavy@dmu.ac.uk


Personal profile

Dr. Ashraf Tantavy is a Senior Lecturer in the School of Computer Science and Informatics. He received his Ph.D. in 2011 from the Department of Electrical Engineering and Computer Science, Vanderbilt University, TN, USA, under the supervision of Professor Xenofon Koutsoukos. Prior to joining DMU, he was an Assistant Professor in the Department of Electrical and Computer Engineering, Virginia Commonwealth University (VCU), VA, USA, where he served as a Co-PI/Collaborator on several research grants, summing up to over $1.5 Million, and funded by government agencies and industrial partners including Virginia Commonwealth Cyber Initiative (CCI), Virginia Catalyst, NASA, and Commonwealth Center for Advanced Manufacturing (CCAM). Prior to VCU, he worked in the Oil & Gas industry for multinational organisations, including British Petroleum, Qatar Gas, and Schneider Electric (then Invensys), where he designed, verified, and implemented a variety of embedded systems including distributed control systems, SCADA systems, and safety instrumented systems. He is a certified Safety Instrumented Systems (SIS) Expert from the International Society of Automation (ISA), NC, USA, 2015. He is a member of the IEEE.

Research group affiliations

Cyber Technology Institute (CTI)

Institute of Artificial Intelligence (IAI)

Publications and outputs

Please refer to Google scholar page for an up-to-date publication list:


Ashraf Tantawy, Sherif Abdelwahed, and Abdelkarim Erradi, "Cyber LOPA: An Integrated Approach for the Design of Dependable and Secure Cyber Physical Systems", IEEE Transactions on Reliability, 2022.

Arash Golabi, Abdelkarim Erradi, Ashraf Tantawy, "Towards Automated Hazard Analysis for CPS Security with Application to CSTR system", Journal of Process Control, Accepted for publication, 2022.

Maher Al Islam, Carol Fung, Ashraf Tantawy, and Sherif Abdelwahed, "A Game-Theoretic Model for DDoS Mitigation Strategies with Cloud Services", IEEE/IFIP Network Operations and Management Symposium, Budapest, Hungary, 2022.

May Bashendy, Ashraf Tantawy, and Abdelkarim Erradi, "Intrusion Response Systems for Cyber-Physical Systems: A Comprehensive Survey", Computers & Security Journal, Minor revision, 2022.


Ashraf Tantawy, "Automated Malware Design for Cyber Physical Systems", 9th IEEE International Symposium on Digital Forensics and Security, ISDFS'21, Elazig, Turkey, 2021.

Mostafa Zaman, Maher Al Islam, Ashraf Tantawy, Carol Fung, and Sherif Abdelwahed, "Adaptive Control for Smart Water Distribution Systems", IEEE International Smart Cities Conference, 2021.

Christopher Deloglos, Ashraf Tantawy, and Carl Elks, "A Framework for Describing Attacker Models", 12th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC & HMIT), 2021.

May Bashendy, Sohaila Eltanbouly, Ashraf Tantawy, and Abdelkarim Erradi, "Design and Implementation of Cyber-Physical Attacks on Modbus/TCP Protocol", The World Congress on Industrial Control Systems Security, WCICSS, 2020.

Ashraf Tantawy, Abdelkarim Erradi, Sherif Abdelwahed, and Khaled Shaban, "Model-Based Risk Assessment for Cyber Physical Systems Security", Computers & Security Journal, 2020:101864.

Christopher Deloglos, Carl Elks, and Ashraf Tantawy, "An Attacker Modeling Framework for the Assessment of Cyber-Physical Systems Security.", 39th International Conference on Computer Safety, Reliability and Security (SafeComp 2020), Lisbon, Portugal.

Research interests/expertise

My broad domain of academic and industrial expertise is Cyber Physical Systems. My teaching and research interests are at the intersection of Cyber Physical Systems, Artificial Intelligence, Cyber Security, and Data Science to develop next generation Dependable and Secure AI-enabled cyber physical human systems. My current research focuses on the development of AI algorithms for defensive and offensive cyber physical system security, safety-security co-design, and decision-making, particularly reinforcement learning, for autonomous cyber physical systems. My research application domains include autonomous vehicles, drones, transportation systems, smart cities, and industrial control systems.

Areas of teaching

Cyber Physical Systems, Embedded Systems Design, AI for Cyber Security, Industrial Automation, Modeling and Simulation, Decision Making.


Ph.D. in Electrical Engineering, Vanderbilt University, Nashville TN, USA.
M.Sc. in Electrical Engineering, Vanderbilt University, Nashville TN, USA.

Courses taught

CTEC2314  Embedded Systems

CTEC2912  Linux Security

EGRE636  Cyber Physical Systems

EGRE691  AI for Cyber Security

EGRE553  Industrial Automation

Membership of professional associations and societies

Institute of Electrical and Electronics Engineers (IEEE).
International Society of Automation (ISA), NC, USA.

Professional licences and certificates

Safety Instrumented Systems (SIS) Expert, International Society of Automation (ISA), NC, USA, 2015.

Engineering Management, University of Manchester, UK, 2015.

Externally funded research grants information

2022-2023  Data-Driven Deep Learning Adversarial Attack Detection in Connected Autonomous Vehicles, Commonwealth Cyber Initiative (CCI), VA, USA, Leading Institution: University of Virginia, USA, Role: PI ($80,000).

2021-2023  Hybrid Machine Learning and Physics-based Modeling and Control of an Integrated Renewable Energy Plant for Water Desalination, Qatar University, Qatar, Role: Research Collaborator (400,000 QAR).

 2021-2024  Heterogeneous Runtime Monitoring for Detection and Assessment of Emerging Hazards for Increasingly Autonomous Urban Flight Vehicles, NASA, USA, Leading Institution: VCU, USA, Role: Research Collaborator ($750,000).

2021-2022  Developing an Open Architecture Testbed and Learning-based Management for Smart Cities, Commonwealth Cyber Initiative (CCI), VA, USA, Leading Institution: VCU, USA, Role: CO-PI ($170,000).

 2020-2021  Innovative Bioanalytical Instrument for Improving Drug Discovery, Virginia Catalyst, USA, Leading Institution: MERU Biotechnologies, Role: CO-PI ($250,000).

2020-2021  Distributed Reinforcement Learning for Smart Manufacturing, Commonwealth Center for Advanced Manufacturing (CCAM), USA, Leading Institution: VCU, USA, Role: CO-PI ($50,000).

ORCID number