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
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
Machine learning approach into bacterial relationship: exploring 16S rRNA metabarcoding with association rule mining
Sari, O. F., Bader-El-Den, M., Ince, V., Arabikhan, F.
9 Oct 2024,
Research output: Conference contribution
Machine learning for bacterial growth prediction and examination of bacterial impact on growth
Ince, V., Bader-El-Den, M., Arabikhan, F., Sari, O. F.
9 Oct 2024,
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.
8 Aug 2024, In: Computers and Security
Research output: Article
Medical image classification using a many to many relation, multilayered fuzzy systems and AI
Akula, K. K., Marcucci, M., Jouffroy, R., Arabikhan, F., Jafari, R., Akula, M., Gegov, A.
3 Jul 2024, In: WSEAS Transactions on Computers. 23
Research output: Article
Moving towards explainable artificial intelligence using fuzzy rule-based networks in decision-making process
Arabikhan, F., Gegov, A., Taheri, R., Akbari, N., Bader-El-Den, M.
20 Jan 2024,
Research output: Conference contribution
Application of fuzzy decision support systems in IT industry functioning
Oleksii, D., Zoia, S., Gegov, A., Arabikhan, F.
20 Jan 2024,
Research output: Conference contribution
Robust aggregation function in federated learning
Taheri, R., Arabikhan, F., Gegov, A., Akbari, N.
20 Jan 2024,
Research output: Conference contribution