Seyed Abolfazl Hosseini | Communication Systems | Best Researcher Award

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Dr. Seyed Abolfazl Hosseini | Communication Systems | Best Researcher Award

Faculty member | Islamic Azad University | Iran

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.

Profiles: Scopus | ORCID | Google Scholar

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.

Alfonso Labao | Cryptography | Excellence in Applied Mathematics

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Assist. Prof. Dr. Alfonso Labao | Cryptography | Excellence in Applied Mathematics

Assistant Professor | University of the Philippines Diliman | Philippines

Dr. Alfonso B. Labao, Ph.D., is a tenured Assistant Professor in the Department of Computer Science at the University of the Philippines Diliman, specializing in the mathematical foundations of computer science, including recursion theory, logic, automata theory, and formal verification. He earned his doctorate and master’s degrees in Computer Science from the University of the Philippines Diliman, complemented by a master’s degree in Economics from the same institution and a bachelor’s degree in Management of Applied Chemistry from Ateneo de Manila University. His professional experience spans teaching core theory and systems courses such as discrete mathematics, algorithms, and programming languages, while also contributing as a machine learning engineer and researcher in projects focused on artificial intelligence applications for environmental and social impact. As co-creator of the Logic and Computability Laboratory, he has advanced theoretical research on computability and descriptive complexity, alongside practical studies on cryptographic systems, formal verification, and network survivability. His scholarly contributions include highly cited works on deep learning methods for ecological applications, secure cryptographic protocols, and signal processing, with publications in journals such as IEEE Transactions on Neural Networks and Learning Systems, Ecological Informatics, Conservation Biology, and Cryptography, as well as presentations at international mathematics and computing conferences. Recognized for his excellence in research and teaching, he has received awards such as the Teaching Research Award, International Publication Awards, a Professorial Chair, and was honored as class valedictorian of the National Graduate School of Engineering. He also serves as a reviewer for leading journals including IEEE Transactions on Neural Networks and Learning Systems and the International Journal of Foundations of Computer Science, underscoring his leadership in both theoretical and applied domains. Deeply grounded in mathematics, his work bridges logic, computation, and applied machine learning, making significant contributions to advancing theory and practice in computer science. 156 Citations, 17 Documents, 6 h-index.

Profiles: Google Scholar | Scopus Profile | ORCID Profile

Featured Publications

1. Labao A.*, Adorna H.N., Effective descriptive complexity of some compact sets. SciEnggJ, 2025, 18(2): 258-263.

2. Ortiz S.L.S., Enriquez J.G.R., Adorna H.N., Labao A.*, Formalizing resource ownership semantics of spinlocks with the Coq proof assistant. Workshop on Computation: Theory and Practice (WCTP), 2025, Proceedings.

3. Labao A.*, Adorna H.N., A CCA-PKE secure-cryptosystem resilient to randomness reset and secret-key leakage. Cryptography, 2022, 6(1): 2. Citations: 5.

4. Labao A.*, Adorna H.N., Cryptographic rational secret sharing schemes over general networks. Cryptography, 2022, 6(4): 50. Citations: 2..

5. Labao A.*, Adorna H.N., Communication complexities of leakage-secure PKE cryptosystems and generic transformations. Philippine Journal of Science, 2023, 152(1).