个人简介
Pourya Shamsolmoali received a Ph.D. degree in computer science from Shanghai Jiao Tong University, China, in 2019. During his Ph.D., he attended the Euro-Mediterranean Centre on Climate Change (CMCC), Italy, as a research assistant. Since 2022. 02, he is a Zijiang Young Scholar (Professor) with East China Normal University. In 2020, he received a research grant sponsored by ETS, Montreal, Canada to conduct cutting-edge research on deep learning models that are specialized for the task of image geo-localization.
Expertise in Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, and Image Processing.
Winner of 2020 IET Image Processing Premium (Best Paper) Awards.
Recipient of most cited articles by PRL in 2019.
Winner of an award and research grants worth over 200+thousand US$ from Canada.
Publishing more than 30 papers in high-impact journals and international conferences.
教育经历
09.2015 - 03. 2019 Ph.D in Computer Science and Eng., Shanghai Jiao Tong University, China.
06.2008 - 08. 2010 Master's Degree in Computer Science, Jamia Hamdard University, India.
06.2005 - 08. 2008 Bachelor Degree in Computer Science, Jamia Hamdard University, India.
工作经历
02.2022 - present Zijiang Young Scholar (Professor), East China Normal University, China.
05.2020 - 11.2021 Remote Visiting Researcher, ETS, Canada.
09.2019 –02.2022 Research Fellow, Shanghai Jiao Tong University, China.
06.2016 - 03.2017 Visiting Researcher, Scientific Computing Division, CMCC, Italy.
2010 - 2012 Lecturer, Payamnoor University, Iran.
社会兼职
Data Mining (UG)
Computer Vision (UG)
Computer Architecture (UG)
Programming languages (UG)
Database (UG)
荣誉及奖励
Best paper award IET Image processing (2020)
International Talented Young Scientist (2019)
Shanghai Jiao Tong University research award (2018)
Shanghai Jiao Tong University Fellowship (2015)
Euro-Mediterranean Centre on Climate Changes (CMCC) Fellowship (2014)
Salento University Fellowship (2014)
Jamia Hamdard University Fellowship (2008 - 2010)
Iran Embassy New Delhi Fellowship (2006)
研究领域
Machine learning, deep learning, computer vision, image processing, remote sensing image processing
近期论文
查看导师新发文章
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P. Shamsolmoali, M. Zareapoor, S. Das, E. Granger,J. Yang, Learning Generative Model with Orthogonal Regularization for Image-to-Image Translation,IEEE Transactions on Cybernetics. 10.1109/TCYB.2022.3166761, 2022.
P. Shamsolmoali, J. Chanussot, M. Zareapoor, J. Yang, Enhanced Single-shot Detector for Small Object Detection in Remote Sensing Images, 42nd International Geoscience and Remote Sensing Symposium, 2022.
P. Shamsolmoali, J. Chanussot, M. Zareapoor, H. Zhou, J. Yang, Multipatch Feature Pyramid Network for Object Detection in Optical Remote Sensing Imagery, IEEE Transactions on Geoscience and Remote Sensing,10.1109/TGRS.2021.3106442, 2021.
P. Shamsolmoali, M. Zareapoor, J. Chanussot, H. Zhou, J. Yang, Rotation Equivariant Feature Image Pyramid Network for Object Detection in Remote Sensing Imagery, IEEE Transactions on Geoscience and Remote Sensing, 10.1109/TGRS.2021.3112481, 2021.
P. Shamsolmoali, M. Zareapoor, E. Granger, H. Zhou, R. Wang, M. Emre Celebi, J. Yang, Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case Studies, Information Fusion, 72, 126-146, 2021.
P. Shamsolmoali, M. Zareapoor, R. Wang. H. Zhou, J. Yang, Road Segmentation for Remote Sensing Images using Adversarial Spatial Pyramid Networks, IEEE Transactions on Geoscience and Remote Sensing, 59, 6, 4673-4688, 2020.
M. Zareapoor, P. Shamsolmoali, J. Yang, Oversampling Adversarial Network for Class-Imbalanced Fault Diagnosis, Mechanical Systems and Signal Processing, 149,107175, 2020.
P. Shamsolmoali, M. Zareapoor, L. Shen, A. H. Sadka, J. Yang, Imbalanced Data Learning by Minority Class Augmentation using Capsule Adversarial Networks, Neurocomputing, 196, 345-359, 2020.
P. Shamsolmoali, M. Zareapoor, R. Wang. H. Zhou, J. Yang, A novel Deep Structure U-Net for Sea-Land Segmentation in Remote Sensing Images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12 (9), 3219-3232, 2019.
P. Shamsolmoali, M. Zareapoor, H. Zhou, J. Yang, AMIL: Adversarial Instance Learning for Human Pose Estimation, ACM Transactions on Multimedia, 6 (8), 3412-3428, 2019.
P. Shamsolmoali, X. Li, R. Wang, J. Yang, Single image resolution enhancement by efficient dilated densely connected residual network, Signal Processing: Image Communication, 79, 13-23, 2019.
P. Shamsolmoali, M. Zareapoor, R. Wang, DK Jain, J Yang, G-GANISR: Gradual Generative Adversarial Network for Image Super-Resolution, Neurocomputing, 366, 140-153, 2019.
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