Dr. Seyed Abolfazl Hosseini is a distinguished faculty member in the Department of Electrical Engineering at Islamic Azad University, Tehran, Iran, specializing in Communication Systems Engineering and Computer Science. He holds a Ph.D. and M.Sc. in Electrical Engineering (Communications Systems Engineering) from Tarbiat Modares University and K.N. Toosi University of Technology, respectively, and a B.Sc. in Control Engineering from Sharif University of Technology. Over his academic career, Dr. Hosseini has served in several leadership capacities, including Dean of the Electrical and Electronics Research Centre, Dean of the Engineering Faculty, and Director of the Department of Communications Engineering. His professional experience extends beyond academia, having served as CEO of Pars Kelend Co., where he managed projects in electronic surveillance, IoT, AI, and network services, and as an expert engineer at the Tehran Traffic Control Company, where he developed remote toll systems and air quality detection methods using image processing. His research primarily focuses on hyperspectral image analysis, digital signal and image processing, machine learning, cryptography, and MIMO communication systems. Dr. Hosseini has authored numerous high-impact publications in leading journals such as IEEE Access, Earth Science Informatics, and Remote Sensing Letters, contributing novel methods in feature reduction, watermarking, and energy-efficient communications. His technical expertise spans rational function approximation, fractal theory, and advanced machine learning algorithms applied to remote sensing and data compression. A dedicated educator and mentor, he has supervised many M.Sc. and Ph.D. candidates and actively participated in developing technical standards and research-driven industrial collaborations. Through his integrated contributions to academia, research, and technology innovation, Dr. Hosseini continues to advance modern communication and computational systems.11 Citations, 3 Documents, 2 h-index.
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Featured Publications
1. Hosseini, S. A.*, & Ghassemian, H. (2016). Rational function approximation for feature reduction in hyperspectral data. Remote Sensing Letters, 7(2), 101–110. Citations: 42.
2. Hosseini, S. A.*, & Ghassemian, H. (2015). Hyperspectral data feature extraction using rational function curve fitting. International Journal of Pattern Recognition and Artificial Intelligence. Citations: 23.
3. Hosseini, S. A.*, & Ghassemian, H. (2013). A new hyperspectral image classification approach using fractal dimension of spectral response curve. Proceedings of the Iranian Conference on Electrical Engineering (ICEE). Citations: 17.
4. Hosseini, A., & Ghassemian, H. (2012). Classification of hyperspectral and multispectral images by using fractal dimension of spectral response curve. 20th Iranian Conference on Electrical Engineering (ICEE), 1452–1457. Citations: 19.
5. Beitollahi, M., & Hosseini, S. A.* (2018). Using Savitsky–Golay smoothing filter in hyperspectral data compression by curve fitting. Proceedings of the Iranian Conference on Electrical Engineering (ICEE). Citations: 15.