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Bio
Omid Ghozatlou (Student Member, IEEE) received the M.Sc. degree in biomedical engineering in 2019 from the Faculty of Electrical and Computer Engineering, University College of Engineering, University of Tehran, Tehran, Iran. He is currently working toward the Ph.D. degree in the field of deep learning models for earth observation multispectral image processing in presence of adversarial samples with the politehnica University of Bucharest (UPB), Bucharest, Romania.
He is currently an Early Stage Researcher within the EU Marie Skłodowska-Curie Innovative Training Network, MENELAOS-NT, and a Ph.D. Researcher with the Research Center for Spatial Information of the Faculty of Electronics Engineering, Telecommunications, and Information Technology, UPB. He has been a Visiting Researcher with the Center for Sensorsystems, University of Siegen, Siegen, Germany. His current research interests include remote sensing image processing, physics-aware artificial intelligence, and deep active learning.
Research Interests
Papers共 11 篇Author StatisticsCo-AuthorSimilar Experts
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IEEE Geoscience and Remote Sensing Magazineno. 99 (2024): 2-26
Zenodo (CERN European Organization for Nuclear Research) (2023)
Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies XI (2023)
20TH INTERNATIONAL CONFERENCE ON CONTENT-BASED MULTIMEDIA INDEXING, CBMI 2023pp.146-152, (2023)
IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUMpp.5285-5288, (2023)
2022 IEEE 5th International Conference on Image Processing Applications and Systems (IPAS) (2022): 1-6
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