I have extensive programme design experience with a proven track record of embedding innovative features in new and existing programmes. I have led teams that have successfully designed, developed, and validated new UG & PG programmes with university partners. I have successfully participated into achieving accreditation for MSc. Cyber Security programme with National Cyber Security Centre (NCSC), GCHQ UK and BCS. I have participated to the liaison and have successfully established EC-Council Academic Partnership with Northumbria University London to explore new contemporary opportunities for our students in Ethical Hacking and Digital Forensics.

I am research focused and have published journal articles in peer-reviewed journals, edited books, authored book chapters and published conference papers. Being an active researcher, I embed research in my Computer Science & Software Engineering teaching. In My PhD project, I have examined Covert Channels in IoT devices with cyber-attacks challenges and designed an Automated Model to Detecting Covert Channels in TCP/IPv6 Using Artificial Intelligence Algorithms.

• • A, 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, 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
  • F, 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
  • Salih, A., 2017. An adaptive approach to detecting behavioural covert channels in IPv6. PhD, Nottingham Trent University. http://irep.ntu.ac.uk/id/eprint/31334/
  • Salih, Abdulrahman, 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/
  • Salih, Abdulrahman, 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 month of PhD study.
  • Xiaoqi Ma, Evtim Peytchev. “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/.

FHEA

MIEEE

PhD Cybersecurity/AI, Nottingham Trent University, UK                                          2012 – 2017

MSc in IT Security (Distinction),  University of Westminster, UK                            2009 – 2010

BSc in Software Engineering (Hons),

With Internship Industry in Siemens FT, Nottingham Trent University, UK        2001 – 2007

Dip. SwEng in Software Engineering, Nottingham Trent University, UK              2005 – 2007