Post-doc researcher at Urmia University, Iran
Dr. Ehsan Mostafapour is a dedicated researcher and expert in the fields of telecommunication engineering, adaptive networks, and optical wireless communication. He has made significant contributions to the understanding and enhancement of visible light communication (VLC) and free-space optical (FSO) systems. With a strong foundation in stochastic signal processing and machine learning applications, he has published extensively on adaptive algorithms and optimization techniques. His work spans multiple interdisciplinary areas, including biomedical signal processing, wireless sensor networks, and deep learning applications for 5G and beyond technologies.
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Education
Dr. Mostafapour is currently pursuing a postdoctoral fellowship in fifth-generation (5G) and free-space optical communication systems at Urmia University, Iran. He obtained his Ph.D. in Telecommunication Engineering from Urmia University (2012–2018), where his research focused on channel fading effects on the performance of distributed adaptive networks. Prior to that, he earned his M.Sc. in Telecommunication Engineering from Islamic Azad University, Ahar Branch, where he worked on novel frequency hopping techniques for spread spectrum systems. He completed his B.Sc. in Electrical Engineering at Islamic Azad University, Urmia Branch.
Experience
Dr. Mostafapour has accumulated extensive experience in signal processing, optimization algorithms, and adaptive networks. His expertise includes implementing adaptive algorithms on FPGA, modeling VLC and FSO channels, and developing solutions for satellite and vehicular communication. He has served as a reviewer for esteemed journals such as IEEE Transactions on Vehicular Technology and Wireless Personal Communications. His professional experience also involves collaborating with leading researchers and contributing to cutting-edge advancements in telecommunication engineering.
Research Interests
Dr. Mostafapour’s research interests encompass a broad spectrum of fields, including:
Adaptive signal processing and neural networks
Free-space optical communication (FSO) and visible light communication (VLC)
Sparse adaptive algorithms for 5G/6G and beyond systems
Wireless sensor networks and localization techniques
Machine learning applications in telecommunication
Biomedical signal processing and machine vision
His work integrates theoretical modeling with practical implementations, addressing critical challenges in wireless and optical communication technologies.
Awards
Dr. Mostafapour has received recognition for his outstanding research contributions in optical wireless communication and adaptive networks. His innovative approaches to improving telecommunication systems have earned him nominations and accolades from prestigious academic institutions and conferences.
Selected Publications
Dr. Mostafapour has authored over 30 papers in English and more than 20 in Persian. Some of his notable publications include:
Performance analysis of mobile adaptive networks in VLC multiplicative SPAD channel noise conditions (Optics Communications, 2022) – Cited in various optical communication studies.
Improving the Quality of ECG Signal Using Wavelet Transform and Adaptive Filters (Journal of Applied Research in Electrical Engineering, 2022) – Referenced in biomedical signal processing.
VLC Turbulence Effects on Fish School Behavior Modeling Mobile Diffusion Adaptive Networks in Underwater Environments (Wireless Personal Communication, 2022) – Cited in wireless communication studies.
Complete Performance Analysis of Underwater VLC Diffusion Adaptive Networks (Journal of Communication Engineering, 2021) – Used in underwater optical networking research.
Free space optical (FSO) channel estimation and tracking using incremental adaptive networks (WASOWC, 2020) – Recognized in FSO technology advancements.
Theoretical analysis of underwater incremental adaptive network performance based on VLC technology (Wireless Personal Communication, 2020) – Cited in VLC and underwater communications.
Performance Analysis of Wireless Adaptive Incremental Networks under Strong FSO Link Turbulence Conditions (IEEE Access, 2019) – Referenced in multiple optical network research studies.
Conclusion
Dr. Ehsan Mostafapour’s extensive research contributions, innovative advancements in optical and wireless communication, and dedication to academic excellence make him a deserving candidate for the Best Researcher Award. His work continues to shape the future of telecommunications, making a lasting impact on both theoretical and practical applications