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I received my PhD in Artificial Intelligence from University of Kashan, Iran in 2020. I was a postdoctoral fellow at Ontario Tech University in 2021. Prior to joining Laurier, I worked at Laurentian University as an assistant professor in 2022.
My research is mainly focused on Machine Learning, Evolutionary Computation, and Multi-objective Optimization. Core areas of my research are:
- innovating optimization algorithms
- enhancing machine learning through evolutionary computation
- applying developed optimization algorithms to machine learning applications such as healthcare
I have research assistantships opportunities for undergraduate and graduate students interested in Machine Learning and Optimization. If you are interested, please send me your CV and transcript to my email at abidgoli@wlu.ca
P. Mazaheri, A. Asilian Bidgoli, S. Rahnamayan, and T. Dehkharghanian, "Ranking Loss and Sequestering Learning for Reducing Image Search Bias in Histopathology," Applied Soft Computing Journal, vol. 142, p. 110346, 2023.
T. Dehkharghanian, A. Asilian Bidgoli, A. Riasatian, P. Mazaheri, C. JV Campbell, L. Pantanowitz, H. R. Tizhoosh, and S. Rahnamayan, "Biased data, biased AI: deep networks predict the acquisition site of TCGA images", Diagnostic pathology, vol. 18, no. 1, pp. 1-12, 2023
A. Asilian Bidgoli, S. Rahnamayan, T. Dehkharghanian, A. Riasatian, and H. Tizhoosh, “Evolutionary Computation in Action: Hyperdimensional Deep Embedding Spaces of Gigapixel Pathology Images”, IEEE Transaction on Evolutionary Computation, vol. 27, no. 1, pp. 52-66, 2022
A. Asilian Bidgoli, S. Rahnamayan, B. Erdem, Z. Erdem, A. Ibrahim, K. Deb, and A. Grami, “Machine Learning-based Framework to Cover Optimal Pareto-front in Many-objective Optimization”, Complex & Intelligent Systems, pp. 1-22, 2022.
A. Asilian Bidgoli, S. Rahnamayan, T. Dehkharghanian, A. Grami, and H. Tizhoosh, “Bias Reduction in Representation of Histopathology Images Using Deep Feature Selection”, Scientific Reports - Nature, vol. 12, no. 1, pp. 1–12, 2022.
A. Asilian Bidgoli, S. Rahnamayan, T. Dehkharghanian, A. Riasatian, S. Kalra, M. Zaveri, C. JV Campbell, A. Parwani, L. Pantanowitz, and H. Tizhoosh, “Evolutionary Deep Feature Selection for Compact Representation of Gigapixel Images in Digital Pathology”, Artificial Intelligence in Medicine, vol. 132, pp. 102368, 2022 .
M. Seydgar, S. Rahnamayan, P. Ghamisi, and A. Asilian Bidgoli, “Semi-Supervised Hyperspectral Image Classification using Probabilistic Pseudo-Label Generation Framework”, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-18, 2022.
H. Hiba, S. Rahnamayan, A. Asilian Bidgoli, and A. Ibrahim, “A Comprehensive Investigation on a Novel Center-based Sampling for Large-scale Global Optimization”, Swarm and Evolutionary Computation, vol. 73, pp. 101105, 2022.
A. Asilian Bidgoli, H. Ebrahimpour-Komleh, and S. Rahnamayan, “A novel binary many-objective feature selection algorithm for multi-label data classification”, International Journal of Machine Learning and Cybernetics, vol. 12, no. 7, pp. 2041-2057, 2021.
A. Asilian Bidgoli, H. Ebrahimpour-Komleh, and S. Rahnamayan, "Reference-point-based Multi-objective Optimization Algorithm with Opposition-based Voting Scheme for Multi-label Feature Selection", Information sciences, vol. 547. p 1-17, 2020.
- Data Mining
- Advanced Optimization
- Theory of Computation
- Artificial Intelligence
- Algorithm Design