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
2025
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.
12 Dec 2025, In: Environmental Modelling & Software. 197, 18p., 106823
Research output: Article
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
Evaluating project manager competencies using explainable artificial intelligence
Nejad, A. A. F., Arabikhan, F., Gegov, A., Ichtev, A.
3 Sep 2025,
Research output: Conference contribution
Data-driven predictive modelling of agile projects using explainable Artificial Intelligence
ForouzeshNejad, A. A., Arabikhan, F., Gegov, A., Jafari, R., Ichtev, A.
1 Jul 2025, In: Electronics (Switzerland). 14, 13, 25p., 2609
Research output: Article
Machine learning-based prediction of Clostridium growth in pork meat using explainable artificial intelligence
Ince, V., Bader-El-Den, M., Alderton, J., Arabikhan, F., Sari, O. F., Sansom, A.
21 Jan 2025, In: Journal of Food Science and Technology, 109421
Research output: Article
2024
Optimizing project time and cost prediction using a hybrid XGBoost and simulated annealing algorithm
Forouzesh Nejad, A. A., Arabikhan, F., Aheleroff, S.
1 Dec 2024, In: Machines. 12, 12, 25p., 867
Research output: Article
Agile project status prediction using interpretable machine learning
Forouzesh Nejad, A. A., Arabikhan, F., Williams, N. L., Gegov, A., Sari, O. F., Bader-El-Den, M.
9 Oct 2024,
Research output: Conference contribution