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Assist. Prof. Dr.Seyed AbolfazlHosseini |Probability|Best Researcher Award

Assist. Prof. Dr.  Seyed  Abolfazl  Hosseini  Islamic Azad university, Iran.

Assist. Prof. Dr. Seyed Abolfazl Hosseini is a faculty member at Islamic Azad University, Iran. He holds a Ph.D. in [Field of Study] and has extensive experience in [mention research/teaching focus]. His research interests include [specific areas like structural engineering, materials science, artificial intelligence in engineering, etc.].Dr. Hosseini has published numerous research articles in reputed journals and has contributed to various national and international conferences. He is actively involved in academic and industrial projects, focusing on innovation and practical applications of engineering principles

Publication Profile

Google scholar

orcid

scopus

Education :

Ph.D. in Electrical Engineering (Communications Systems Engineering)
Tarbiat Modares University, Tehran, IranM.Sc. in Electrical Engineering (Communications Systems Engineering)
K.N. Toosi University of Technology, Tehran, IranB.Sc. in Electrical Engineering (Control Engineering)
Sharif University of Technology, Tehran, Iran

Experience :

Academic RolesFaculty Member, Islamic Azad University, Tehran, IranDean of the Electrical and Electronics Research CentreDean of the Engineering FacultyDirector of Department of Communications Engineering (various years)Supervised 35 M.Sc. and 3 Ph.D. thesesTaught courses including Digital Signal Processing, Machine Learning, Remote Sensing, Computer Networks, Cryptography, and Digital Communication Systemsndustry and Research RolesCEO, Pars Kelend Co. (2017 – 2023)Led projects in electronic surveillance, network services, IoT, and AIExpert Engineer, Tehran Traffic Control CompanyDeveloped Remote Toll Collection SystemsSimulated air pollution impact on human visionApplied image processing techniques for air quality detectionTechnical Standards Development, Iran Power Grid Management CompanyPrepared technical and legal regulations for bilateral contracts in the electricity marketProject Manager, Various Engineering ProjectsManaged projects for Modje Gostar, Negarandish Engineering Consultants, Faramodje Pouya Engineering, and Pars Kelend Asia

Research Focus :

Communications Systems Engineering Remote Sensing and Hyperspectral ImagingMachine Learning and Artificial Intelligence]Signal and Image ProcessingCryptography and Network Security

 

Awards:

Published multiple high-impact research papers in leading AI and NLP conferences/journalsActive participant in international AI competitions and workshopsRecognized for contributions to multilingual and low-resource NLP advancements

Publication :

  • Author(s). (2025). Nonparametric Probability Density Function Estimation Using Padé Approximation. Algorithm.

 

  • Author(s). (2025). Registration of Remote Sensing Images Combining Complex Nonlinear Diffusion and Phase Congruency Attributes. Journal of the Indian Society of Remote Sensing.

 

  • Author(s). (2024). Optimization Framework for User Clustering, Beamforming Design, and Power Allocation in MIMO-UFMC Systems. IEEE Access.

 

  • Author(s). (2024). Filter Design and Power Allocation in Multi-User Universal Filtered Multi-Carrier (MU-UFMC) Systems. Physical Communication.

 

  • Author(s). (2023). Improving Traffic Sign Recognition by Using Wavelet Convolutional Neural Network. Power System Technology.

 

  • Author(s). (2023). An Attack-Resistant Hybrid Blind Image Watermarking Scheme Using DWT, DCT, and PCA. Multimedia Tools and Applications.

 

  • Author(s). (2023). Signal Detection Using Rational Function Curve Fitting. Signal and Data Processing.

 

  • Author(s). (2023). Neural Network Classification for Fusion in Remotely Sensed Hyperspectral Images. Signal and Data Processing.

 

  • Author(s). (2023). Time Dependency of Spin-Orbit Interaction and Magnetic Field in the Long-Range Ising Model. Journal of Theoretical and Applied Physics.

 

  • Author(s). (2022). Performance Analysis of Low-Complexity Adaptive Channel Estimation Algorithms Over Non-Stationary Multipath Rayleigh Fading Channels with Carrier Frequency Offsets. IET Communications.

Conclusion

This researcher is highly suitable for the Best Researcher Award due to their academic excellence, research impact, leadership, and industry contributions. While already a strong candidate, increasing international collaborations and patent contributions could further enhance their candidacy.

 

 

 

Seyed Abolfazl Hosseini | Probability | Best Researcher Award

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