Amir Hossein Oveis
Researcher
Amir Hossein Oveis received his B.Sc. degree from K. N. Toosi University of Technology in Tehran, Iran in 2011, his M.Sc. degree from Amir Kabir University of Technology in Tehran in 2013, and his Ph.D. degree from K. N. Toosi University of Technology in 2018, all in the field of Electrical Engineering and Telecommunication. As part of a research project, he was awarded a scholarship from the National Inter-University Consortium for Telecommunications (CNIT) in Italy and joined the Radar and Surveillance Systems (RaSS) Laboratory in Pisa, Italy in November 2019. He also held a Postdoctoral Researcher position with the Department of Information Engineering at the University of Pisa from 2021 to 2023. He is currently a Researcher at CNIT-RaSS, where his research focuses on Deep Learning, particularly Explainable Artificial Intelligence and Open Set Recognition, as well as Incremental Learning for Synthetic Aperture Radar (SAR) Target Recognition.
Publications
2023
LIME-Assisted Automatic Target Recognition with SAR Images: Toward Incremental Learning and Explainability Journal Article
In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp. 9175-9192, 2023.
Convolutional Neural Network for Joint Communication and Radar Signals Classification Conference
vol. 2023-May, 2023.
Incremental Learning in Synthetic Aperture Radar Images Using Openmax Algorithm Conference
vol. 2023-May, 2023.
2022
Extended Openmax Approach for the Classification of Radar Images with a Rejection Option Journal Article
In: IEEE Transactions on Aerospace and Electronic Systems, pp. 1-12, 2022, (cited By 0).
Proportional Similarity-Based Openmax Classifier for Open Set Recognition in SAR Images Journal Article
In: Remote Sensing, vol. 14, no 18, 2022, (cited By 0).
vol. 2022-July, 2022.
2021
Enhanced Azimuth Resolution in Synthetic Aperture Radar Using the MUSIC Algorithm Conference
2021, (cited By 0).
CNN for Radial Velocity and Range Components Estimation of Ground Moving Targets in SAR Conference
vol. 2021-May, 2021.
A Survey on the Applications of Convolutional Neural Networks for Synthetic Aperture Radar: Recent Advances Journal Article
In: IEEE Aerospace and Electronic Systems Magazine, 2021.
2020
A Computationally Efficient Approach for Velocity Estimation of Ground Moving Targets Conference
vol. 2020-September, 2020, (cited By 0).