Post-Doctoral & Associate Research Fellows
Farhad Pourpanah Navan
University of Windsor
401 Sunset Avenue
Windsor, Ontario, N9B 3P4, Canada
519-253-3000 ext. 5977
Farhad Pourpanah received his Ph.D. degree in computational intelligence from the University of Science Malaysia (USM) in 2015. He is currently an associate research fellow at the Department of Electrical and Computer Engineering, University of Windsor (UoW), Canada. From 2019 to 2021, he was an associate research fellow at the College of Mathematics and Statistics, Shenzhen University (SZU). Before joining SZU, he was a postdoctoral research fellow at the Department of Computer Science and Engineering, Southern University of Science and Technology (SUSTech), China.
- Pattern Recognition
- Multi-Modal Learning
- Machine Learning
- Incremental Learning
- Uncertainty Quantification
- Zhou, X., Liu, H., Pourpanah, F., Zeng, T., Wang, X., A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications. Neurocomputing (accepted).
- Pourpanah, F., Wang, D., Wang, R., Lim, C. P., (2021) A semi-supervised learning model based on fuzzy min-max neural networks for data classification. Applied Soft Computing, 112, 107856.
- Yeganeh, A., Pourpanah, F., Shadman, A., (2021) An ensemble ANN-based approach for change point estimation in control charts. Applied Soft Computing, 110, 107604.
- Abdar, M., Pourpanah, F., Hussain, S., Rezazadegan, D., Liu, L., Ghavamzadeh, M., Fieguth, P., Khosravi, A., Acharya, U. R., Makarenkov, V., Nahavandi, S., (2021) A review of uncertainty quantification in deep learning: techniques, applications and challenges. Information Fusion, 76, 243-297.
- Luo, L., Wang, X., Pourpanah, F., (2021) Dual VAEGAN: A generative model for generalized zero-shot learning. Applied Soft Computing, 107, 107352.
- Wang, J., He, Z., Huang, S., Chen, H., Wang, W., Pourpanah, F., (2021) Fuzzy measure with regularization for gene selection and cancer prediction. International Journal of Machine Learning and Cybernetics, 1-17.
- Wang, X., Zhao, Y., Pourpanah, F., (2020). Recent advances in deep learning. International Journal of Machine Learning and Cybernetics, 11, 747–750.
- Golami, J., Pourpanah, F., Wang, X., (2020). Feature selection based on improved binary global harmony search for data classification. Applied Soft Computing, 93, 106402.
- Pourpanah, F., Lim, C. P., Wang, X., Tan, C. J., Seera, M., & Shi, Y., (2019). A hybrid model of fuzzy min-max and brain storm optimization for feature selection and classification. Neurocomputing, 333, 440-451.
- Rezvani, S., Wang, X., Pourpanah, F., (2019). Intuitionistic fuzzy twin support vector machines. IEEE Trans. Fuzzy Systems, 27(11), 2140-2151.
- Jiang, F., Pourpanah, F., Qi, H., (2019). Design, implementation and evaluation of a neural network based quadcopter UAV system. IEEE Trans. Industrial Electronics, 67(3) 2076-2085.
- Pourpanah, F., Shi, Y., Lim, C. P., Hao, Q., Tan, C. J., (2019). Feature selection based on brain storm optimization for data classification. Applied Soft Computing, 80, 761-775.
- Pourpanah, F., Wang, R., Wang, X., (2019). Feature selection for data classification based on binary brain storm optimization. IEEE International Conference on Cloud Computing and Intelligence Systems.
- Pourpanah, F., Wang, R., Wang, X., Shi, Y., Yazdani, D., (2019). mBSO: A multi-population brain storm optimization for multimodal dynamic optimization problems. IEEE Symposium Series on Computational Intelligence.
- Pourpanah, F., Wang, R., Lim, C. P., Wang, X., Seera, M., Tan, C. J., (2019). An improved fuzzy ARTMAP and Q-Learning agent model for pattern classification. Neurocomputing, 359, 139-152.
- Pourpanah, F., Lim, C. P., Qi, H., (2019). A reinforced fuzzy ARTMAP model for data classification. International Journal of Machine Learning and Cybernetics,10(7),1643-1655.
- Pourpanah, F., Zhang, B., Ma, R., Qi, H., (2018). Anomaly detection and condition monitoring of UAV motors and propellers. IEEE SENSORS.
- Pourpanah, F., Zhang, B., Ma, R., Qi, H., (2018). Non-Intrusive human motion recognition using distributed sparse sensors and the genetic algorithm based neural network. IEEE SENSORS.
- Pourpanah, F., Tan, C. J., Lim, C. P., & Saleh, J. M. (2017). A Q-learning-based multi-agent system for data classification. Applied Soft Computing, 52, 519-531.
- Pourpanah, F., Lim, C. P., & Saleh, J. M. (2016). A hybrid model of fuzzy ARTMAP and genetic algorithm for data classification and rule extraction. Expert Systems with Applications, 49, 74–85.
Visiting Scholars
Liming Zou
University of Windsor
401 Sunset Avenue
Windsor, Ontario, N9B 3P4, Canada
519-253-3000 ext. 5977
Liming Zou received his B.S. degree in Communication Engineering from Shandong Normal University, Jinan, China, in 2017. He is currently working toward the Ph.D. degree of Computer Science and Technology at the School of Information Science and Engineering, Shandong Normal University, Jinan, China. He is currently working as a visiting scholar at CVDL Lab in the Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada. His research interests include multimedia security and image processing.
Qi Cui
University of Windsor
401 Sunset Avenue
Windsor, Ontario, N9B 3P4, Canada
519-253-3000 ext. 5977
Qi Cui received his B.S. degree in Software Engineering from Nanjing University of Information Science and Technology, China in 2017. He is currently pursuing his Ph.D. in Information and communication engineering at the same university. Now he is a visiting scholar in the Department of Electrical and Computer Engineering at the University of Windsor, Canada. His research interests include adversarial deep learning, information hiding, steganalysis, and multimedia security.
Doctoral Candidates
Wandong Zhang
University of Windsor
401 Sunset Avenue
Windsor, Ontario, N9B 3P4, Canada
519-253-3000 ext. 5977
Wandong Zhang received his bachelor’s degree in Automation Engineering from the College of Engineering, the Ocean University of China, in 2015. He is currently pursuing his Master’s degree at the Ocean University of China. Now he is a visiting student at the University of Windsor. His research interests include neural networks, HFSWR processing, wavelet transform, and multi-resolution processing.
Arash Rocky
University of Windsor
401 Sunset Avenue
Windsor, Ontario, N9B 3P4, Canada
519-253-3000 ext. 5977
Arash Rocky received his B.Sc. and M.Sc. from Shahid Chamran University of Ahvaz, Iran. His B.Sc. thesis was focused on the Evaluation of EEG signals using Artificial Neural Networks, while on his M.Sc. thesis, he implemented a Super-Resolution without explicit subpixel motion estimation. After some years of experience in the industry as an Industrial Automation Engineer, from 2021, he has joined CVDL lab at the University of Windsor to address industrial issues using Computer Vision and Deep Learning. His research interest lies in image and video processing, deep learning, and car accident prediction.
Md Shakil Ahamed Shohag
University of Windsor
401 Sunset Avenue
Windsor, Ontario, N9B 3P4, Canada
519-253-3000 ext. 5977
Md Shakil Ahamed Shohag received his BSc in Electronics and Telecommunication Engineering from the University of Development Alternative (UODA), Bangladesh, and MSc in Computer Science and Technology from the University of Jinan, China. He was awarded the prestigious Chinese Government Scholarship for the entire duration of his master's study. He also served as a Lecturer in the Faculty of Engineering, UODA. Now, he is a doctoral student at the University of Windsor, Canada. His research interests are in the domain of image processing i.e. feature extraction, image retrieval, and graph matching. Currently, he is in the course of video processing and medical imaging using deep learning.
Masters Candidates
Zichen Wang
University of Windsor
401 Sunset Avenue
Windsor, Ontario, N9B 3P4, Canada
519-253-3000 ext. 5977
Zichen Wang received his B.E. degree in Electronic Science and Technology from Yunnan University, China, in 2021 and now he is pursuing the MSc degree at the University of Windsor. His research interest is 3D scene reconstruction.
Jiayuan Wang
University of Windsor
401 Sunset Avenue
Windsor, Ontario, N9B 3P4, Canada
519-253-3000 ext. 5977
Jiayuan Wang received his B.S. degree in Intelligence Science and Technology from Beijing Information Science & Technology University, China in 2021. He is currently pursuing his Master’s degree with the Department of Electrical and Computer Engineering at the University of Windsor, Canada. His research interests are deep learning, applied deep learning to address the challenge of the medical field.
Zheng Li
University of Windsor
401 Sunset Avenue
Windsor, Ontario, N9B 3P4, Canada
519-253-3000 ext. 5977
Zheng Li received his B.E. degree from Henan University, China in 2016. His B.E. thesis was focused on Embedding System Design with Fuzzy PID control algorithm. He is currently pursuing his Master’s degree with the Department of Electrical and Computer Engineering at the University of Windsor, Canada. His research interests are artificial neural networks, metaheuristic optimization, and image recognition.