Research

Research Interests

  • Brain Connectivity: Anatomical, functional, and causal connections between distinct units within a nervous system, network neuroscience, human connectome, graph theory, large-scale brain networks, complexity.

  • Neuroinformatics: Mathematical/statistical analysis of neuroimaging data (i.e., anatomical, functional, and/or diffusion MRI, as well as electrophysiological recordings such as EEG and MEG).

  • Machine Learning: Artificial/deep neural networks, convolutional neural networks, explainable AI (XAI), computer-aided diagnosis, ensemble learning, support vector machines, data mining in healthcare.

  • Optimization & Fuzzy Logic: Operation research in healthcare systems, decision making, linear/non-linear programming, evolutionary algorithms, fuzzy expert systems, fuzzy image processing, fuzzy optimization.

In Preparation

  • Farahani, F.V., Fiok. K., Karwowski, W., Wan, T., Douglas, P.K., (2020). Explainable AI (XAI) in Medical Applications: A Systematic Review.

  • Farahani, F.V., Karwowski, W., Douglas, P.K., (2020). On the Similarity of Deep Learning Representations Across Didactic and Adversarial Examples.

  • Farahani, F.V., Karwowski, W., Fafrowicz, M., (2020). Identifying Diurnal Variability of Brain Connectivity Patterns using Graph Theory.

  • Fiok. K., Farahani, F.V., Karwowski, W., Ahram, T., (2020). Explainable Artificial Intelligence for Education and Training: A Review.

  • Douglas, P.K, Anderson, A., Gilles, J., Farahani, F.V., (2020). Sparse and Data-Driven Methods for Concurrent EEG-fMRI.

Peer-reviewed Journals

  • Farahani, F.V., Fafrowicz, M., Karwowski, W., Douglas, P.K., Domagalik, A., Beldzik, E., Oginska, H. and Marek, T., (2019). Effects of chronic sleep restriction on the brain functional network, as revealed by graph theory. Frontiers in Neuroscience, 13, 1087.

  • Farahani, F.V., Karwowski, W. and Lighthall, N., (2019). Application of Graph Theory for Identifying Connectivity Patterns in Human Brain Networks: A Systematic Review. Frontiers in Neuroscience, 13, 585.

  • Farahani, F.V., Ahmadi, A. and Zarandi, M.H.F., (2018). Hybrid intelligent approach for diagnosis of the lung nodule from CT images using spatial kernelized fuzzy c-means and ensemble learning. Mathematics and Computers in Simulation, 149, pp.48-68.

  • Mohammadi, H., Farahani, F.V., Noroozi, M. and Lashgari, A., (2017). Green supplier selection by developing a new group decision-making method under type 2 fuzzy uncertainty. The International Journal of Advanced Manufacturing Technology, 93(1-4), pp.1443-1462.

Conference Proceedings

  • Dutta, C. N., Christov-Moore, L., Anderson, A., Koch, Z., Kaur, P., Farahani, F.V., & Douglas, P. K. (2020, January). Inter-hemispheric asymmetry patterns in the ADHD brain: a neuroimaging replication study. In 15th International Symposium on Medical Information Processing and Analysis (Vol. 11330, p. 113301C). International Society for Optics and Photonics.

  • Farahani, F.V. and Karwowski, W., (2018, July). Computational Methods for Analyzing Functional and Effective Brain Network Connectivity Using fMRI. In International Conference on Applied Human Factors and Ergonomics (pp. 101-112). Springer, Cham.

  • Farahani, F.V., Ahmadi, A. and Zarandi, M.F., (2015, August). Lung nodule diagnosis from CT images based on ensemble learning. In Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2015 IEEE Conference on (pp. 1-7). IEEE.

  • Farahani, F.V., Zarandi, M.F. and Ahmadi, A., (2015, August). Fuzzy rule based expert system for diagnosis of lung cancer. In Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015 Annual Conference of the North American (pp. 1-6). IEEE.

  • Lahijanian, B., Zarandi, M.F. and Farahani, F.V., (2016, October). Proposing a model for operating room scheduling based on fuzzy surgical duration. In Fuzzy Information Processing Society (NAFIPS), 2016 Annual Conference of the North American (pp. 1-5). IEEE.

  • Lahijanian, B., Zarandi, M.F. and Farahani, F.V., (2016, October). Double coverage ambulance location modeling using fuzzy traveling time. In Fuzzy Information Processing Society (NAFIPS), 2016 Annual Conference of the North American (pp. 1-6). IEEE.

  • Lahijanian, B., Farahani, F.V. and Zarandi, M.F., (2016, July). A new multiple classifier system for diagnosis of erythemato-squamous diseases based on rough set feature selection. In Fuzzy Systems (FUZZ-IEEE), 2016 IEEE International Conference on (pp. 2309-2316). IEEE.