Rate My Professor Karim Seghouane

Seghouane has received fellowships from the Australian Research Council, the Japanese Society for the Promotion of Science, the Australian Academy of Science, and the French National Institute for Research in Digital Science and Technology. He serves as a Senior Area Editor for the IEEE Transactions on Image Processing. His key publications include 'Learning Robust and Sparse Principal Components With the α-Divergence' (IEEE Transactions on Image Processing, 2024), 'An α-Divergence Approach To Robust Canonical Correlation Analysis' (ICIP, 2024), 'Robust Deterministic DOA Estimation Using α-divergence in Unknown Noise Fields with Sparse Sensor Arrays' (ICASSP, 2025), 'A Guide to Image- and Video-Based Small Object Detection Using Deep Learning: Case Study of Maritime Surveillance' (IEEE Transactions on Intelligent Transportation Systems, 2025), and 'Sparse Canonical Correlation Analysis With Preserved Sparsity' (IEEE Transactions on Knowledge and Data Engineering, 2026). He supervises postgraduate students and contributes to advancements in neuroimaging, fMRI analysis, and robust statistical methods, influencing signal processing and data science fields.