Dr Farzad Arabikhan
Summary
I am currently a Senior Lecturer at the School of Computing, University of Portsmouth. In my PhD, I used Artificial Intelligence techniques (Complex Fuzzy Rule-Based Networks and Genetic Algorithm) to develop a predictive model for adopting Telecommuting. I gained an MSc in Transportation Systems and Planning at the Sharif University of Technology, Tehran, Iran.
Research interests
- Computational Intelligence (Fuzzy Logic, Rule-Based Systems, Neural Networks and Genetic Algorithm)
- Intelligent Transportation Systems
- Activity Based Transport Modelling
Teaching responsibilities
I am currently involved as unit coordinator, lecturer and tutor in the following units:
- Practical Data Science
- Computer Architecture
- Network Fundamentals
I am also unit facilitator for the off-campus units:
- Transportation Engineering
- Design of Transportation Infrastructure
Research outputs
2026
Intelligent reservoir characterization through a progressive tiered AI approach
Abdulkadir, A., Gegov, A., Ichtev, A., Arabikhan, F., Adda, M., Udebhulu, O. D., Umar, A., Alshenqiti, A., Jeruto, D.
10 Aug 2026,
Research output: Conference contribution
Hybrid machine learning and fuzzy inference system for university admission prediction
Dasgupta, S., Arabikhan, F., Bader-El-Den, M., Gegov, A., Itchev, A.
10 Aug 2026,
Research output: Conference contribution
Comparative evaluation of object-detection models for MMA fighter localisation in mixed martial arts bouts
McMillan, A., Golcarenarenji, G., Bader-El-Den, M., Arabikhan, F.
10 Aug 2026,
Research output: Conference contribution
Predictive modelling of soil water retention curves using machine learning methods
Uche Mordi, J., Arabikhan, F., Azizi, A., Tatari, A., Ebrahimpour, B., Golcarenarenji, G.
20 Jul 2026,
Research output: Conference contribution
Artificial intelligence enhanced litter pollution mapping: integrating citizen science with geospatial and social data
Rezaei, H., Roberts, K., Arabikhan, F., Fletcher, S., March, A. L. A., Couceiro, F., Bacon, D., Hutchinson, D., Williams, J.
1 Feb 2026, In: Environmental Modelling & Software. 197, 18p., 106823
Research output: Article
The role of explainable AI (XAI) in enhancing the security of machine learning systems against adversarial attacks
ForouzeshNejad, A. A., Arabikhan, F., Taheri, R.
22 Jan 2026,
Research output: Chapter (peer-reviewed)
2025
Explainable AI for federated learning-based intrusion detection systems in connected vehicles
Taheri, R., Jafari, R., Arabikhan, F., Gegov, A., Ichtev, A.
18 Nov 2025, In: Electronics. 14, 22, 18p., 4508
Research output: Article
Trustworthy and reliable AI for heart disease diagnosis: advancing ethical and explainable healthcare decision-making
Gogi, G., Gurung, S. K., Gegov, A., Arabikhan, F., Ichtev, A.
14 Nov 2025,
Research output: Conference contribution
Explainable artificial intelligence for intrusion detection in connected vehicles
Taheri, R., Gegov, A., Arabikhan, F., Ichtev, A., Georgieva, P.
10 Nov 2025,
Research output: Conference contribution
Unveiling vulnerabilities in deep learning-based malware detection: Differential privacy driven adversarial attacks
Taheri, R., Shojafar, M., Arabikhan, F., Gegov, A.
1 Oct 2025, In: Computers and Security
Research output: Article