Assist. Prof. Dr. Abdulrahman Salih
Dr. Abdulrahman Salih is an Assistant Professor in Artificial Intelligence/Cyber Security, a distinguished academic, practitioner, and researcher in the field of Cyber Security and Software Engineering, with over 22 years of experience in Industrial and higher education. He currently directs three (FT) PG programmes: MSc AI Technology, MSc Cyber Security Technology and MSc Tech for Sustainable Cities at Northumbria University in the London campus. In addition to his teaching duties, Dr. Salih chairs a Small Cyber Security Research Group (CSRG) coordinated by Northumbria University and collaborated with local (UK) and International Universities, publishing research papers in international conferences and journals.
Dr Salih obtained his PhD in Cyber Security (AI) from Nottingham Trent University with four new contributions. Over the years, Dr Salih worked in leadership, management, teaching, and research supervision, QAA furthermore, he has held various roles such as External Examiner, Programme Director, Module Leader, Research Coordinator. Furthermore, He has also served as a Visiting Lecturer, guiding and mentoring students across various levels, from MSc to BSc programs and apprenticeship schemes and providing students with valuable industry experience while solving complex problems for external partners.
Dr. Salih’s contributions to the field extend beyond the classroom, with a strong portfolio of publications in reputable conferences and journals. He actively engages in the academic community as an external reviewer for international conferences, further contributing to the advancement of knowledge in his discipline. With a passion for continuous learning and innovation, Dr. Salih is dedicated to leveraging his expertise to drive impactful initiatives and inspire the next generation of professionals in Cyber Security and Software Engineering.
Academic and Industry experience
Beyond academia, Dr. Salih is well-versed in a diverse array of programming languages; (C++, Java, Python) and is equipped with the necessary skills to tackle complex challenges in the ever-evolving technological landscape embedding them into AI and Cyber Security Applications. He has actively participated in training courses and workshops aimed at enhancing his pedagogical skills and preparing for future professional milestones. He has designed a smart ERP application and a next generation IPS/NGFW for local companies in the UK. He also worked as a Cyber Security Analyst (FL) for an American System Engineering Company, Naztech Plc, in addition to his role as an advisor for a local cyber security company in London. Dr. Salih is an Academic expert and professional in the field of Software Engineering, specialising in Artificial Intelligence and Cyber Security. His extensive experience includes supervising over 400+ master’s degree students and 100+ undergraduate students and coordinating/leading multiple computing modules and programmes.
Research Interests
- Artificial Intelligence and Cyber Security
- Artificial Intelligence and Machine Learning
- Internet of Things Security (SCADA Security)
- Programming Embedded System
- Software Security Application & Testing
- Formal Methods and Quantum Computing
Key Publications
- Ehigiator I. Egho-Promise, George Asante, Balisane, A. Salih, F. Aina, H. Kure, “Leveraging Artificial Intelligence for Predictive Cybersecurity: Enhancing Threat Forecasting and Vulnerability Management” (2024) Security Implications of Edge Computing in Cloud Networks. Journal of Computer and Communications. 2024 Dec.(Under Review)
- Butt, M. Alraja, A. Salih, “Mitigating Ransomware in Cyber-Physical Human Systems Through Game-Based Learning”, 2024 IEEE 16th International Conference on Computational Intelligence and Communication Networks (CICN) (Accepted)
- Sonjoy R. D., A. Salih, M. Farhan, R. B. Sulaiman, “Enhancing Lung Cancer Classification with MobileNetV3 and EfficientNetB7: A Transfer Learning Approach”. 2024 International Conference on Computer and Applications (ICCA). 2024 Dec 09. IEEE. (Accepted)
- Book Chapter: Hussien , A. Kaya, H. Jahankhani, A. Salih, “QRNG-Powered Quantum-resistant blockchain for secure and scalable IoT Healthcare Machine Learning models: JCR – Q2” (Computer Science, Theory and Methods) / Cite Score – Q1 (Applied Mathematics), 2024, ISSN: 2410-388X, https://www.mdpi.com/journal/cryptography
- Farhan, A. Salih, A. H. Nur and R. B. Sulaiman, “Disrupting the Ballot Box: Blockchain as a Catalyst for Innovation in Electoral Processes,” 2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS), Dhaka, Bangladesh, 2024, pp. 1-6, doi: 10.1109/iCACCESS61735.2024.10499541. Conference Date: March 1-4th 2024; https://ieeexplore.ieee.org/abstract/document/10499541
- Farhan, A. Salih, Butt. U, “Securing IoT Devices in Healthcare industry: An Investigation into Efficient and Effective Authorization Procedures.” International Journal of Computer Theory and Engineering (http://www.ijcte.org/) ISSN: 1793-8201 (Print),DOI: 10.7763/IJCTE, ACM (ISBN: 979-8-4007-0820-6), (ICISS 2023)
- Narayanan, R. Krishnan, A. Salih, Y. Robinson et al. A Hybrid Machine Learning Technique for Acute Lymphoblastic Leukemia Classification, 16 June 2023, PREPRINT (Version 1) available at Research Square https://doi.org/10.21203/rs.3.rs-3004349/v1
- A. SALIH, 2017. An Adaptive Approach to Detecting Behavioural Covert Channels in IPv6. PhD Thesis, Nottingham Trent University. http://irep.ntu.ac.uk/id/eprint/31334/
- Book Chapter: Salih A., Xiaoqi Ma, and Evtim Peytchev. “Implementation of Hybrid Artificial Intelligence Technique to Detect Covert Channels Attack in New Generation Internet Protocol IPv6”. Leadership, Innovation and Entrepreneurship as Driving Forces of the Global Economy. Springer International Publishing, 2017. 173-190. http://irep.ntu.ac.uk/id/eprint/28311/
- A. Salih, Xiaoqi M, and Evtim P. “Implementation of Hybrid Artificial Intelligence Technique to Detect Covert Channels Attack in New Generation Internet Protocol IPv6”, Springer Proceeding in Business and Economics, International Conference for Leadership, Innovation and Entrepreneurship as Driving Forces of the Global Economy (ICLIE), 20-22 April 2016, Dubai UAE, http://link.springer.com/chapter/10.1007/978-3-319-43434-6_15
- A. Salih, Ali Jwaid, Adam Zubair, “Implementation of Correlation Analysis Approach to Identify Traffic Signature Vulnerability within DoS Attack in IPv6” Special Issue/Section: Special Issue on Recent Advances in Engineering Systems 2017 Advances in Science, Technology and Engineering Systems Journal 2017. ID 17M-06-298. https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7802033
- A. Salih, Xiaoqi Ma, Evtim Peytchev. “New Intelligent Heuristic Algorithm to Mitigate Security Vulnerabilities in IPv6. International Journal of Information Security NNGT, Journal ISSN Print: 2382-2619, Volume 4, 2015: http://irep.ntu.ac.uk/id/eprint/27592/.
- A. Salih, Xiaoqi M, and Evtim P. “Detection and Classification of Covert Channel in IPv6 Using Enhanced Machine Learning Algorithm”. International Conference on Computer Technology and Information Systems. Dubai –UAE 13-15 August 2015, Full proceedings ‘ISBN: 978-9938-9563-6-8 ICCTIS’2015 at http://irep.ntu.ac.uk/id/eprint/27605/
- A. Salih, Jwaid Ali, Adam Zubair, Future Technologies Conference 2016, San Francisco, USA, “Analysing Denial of Service Attack Traffic Signature in IPv6 Local Network Using Correlation” 6-7 December 2016, IEEE. https://ieeexplore.ieee.org/document/7821726.
- Zubair A., A. Jwaid and A. Salih, “Analysing denial of service attack traffic signature in IPv6 local network using correlation inspection,” 2016 Future Technologies Conference (FTC), San Francisco, CA, 2016, pp. 1008-1013. doi: 10.1109/FTC.2016.7821726, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7821726&isnumber=7821581
- A. Salih, Technical Report on IPv6 Architecture 2012 at http://irep.ntu.ac.uk/view/collection/Research_and_Scholarly_Collection/. A detailed technical report on TCP/IPv6 security vulnerabilities and mitigation processes presented in the first 6 months of PhD study.
Qualifications and Professional Membership
- PhD in Cyber Security (Artificial Intelligence) from Nottingham Trent University (2012-2016)
- MSc (Distinction) in Information Technology Security, University of Westminster (2009-2010)
- BSc (Hons) in Software Engineering, Nottingham Trent University (2001-2005)
- Diploma in Software Engineering, Nottingham Trent University (2006-2007)
- Internship (Placement Industry) Siemens PLC in Software Engineering (2005-2006)
Dr. Salih has also completed several professional development programs, including:
- Teaching and Supporting Learning in Higher Education (PSF) (2013-2015)
- Fellowship of Higher Education Advance FHEA (PSF) (2023)
- Senior Fellowship of Higher Education Advance SFHEA (2024)_Applied
- CISSP 2024_Ongoing Course
Professional Memberships:
- British Computer Society (2012)
- IEEE (Institute of Electrical and Electronics Engineers) (2014)
- Springer Nature (2015)
