Mojtaba Hajiabadi | Electrical Engineering | Best Researcher Award

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Assist. Prof. Dr. Mojtaba Hajiabadi | Electrical Engineering | Best Researcher Award

Assist. Prof. Dr. MojtabaHajiabadi at University of Birjand, Iran

Dr. Mojtaba Hajiabadi is an Assistant Professor in the Communication Engineering Group at the University of Birjand, Iran. With expertise in 6G, wireless communications, adaptive filtering, and machine learning, he has significantly contributed to signal processing and telecommunications. He has served as a visiting researcher at KU Leuven, Belgium, and actively reviews for esteemed journals like IEEE Transactions on Signal Processing. His research includes developing advanced wireless systems, adaptive beamforming, and noise cancellation technologies. With numerous publications, patents, and projects, he remains a leading figure in next-generation communication technologies.

Publication Profile

Google Scholar

Academic Background🎓

Dr. Hajiabadi obtained his Ph.D. in Communication Engineering from Ferdowsi University of Mashhad in 2018, following an M.Sc. from the same institution in 2014 and a B.Sc. from the University of Birjand in 2012. His exceptional academic journey began at the National Organization for Development of Exceptional Talents (NODET). In 2019, he further enhanced his expertise as a Visiting Researcher at KU Leuven, Belgium, working on cutting-edge wireless technologies. His education has laid a strong foundation for his research in wireless communications, adaptive systems, and machine learning-based signal processing.

Professional Background💼

Dr. Hajiabadi has diverse academic and industrial experience, including research and teaching at KU Leuven, Ferdowsi University of Mashhad, and the University of Birjand. His professional roles extend to the Iranian Air Force, Telecommunication Infrastructure Company, and KavirTire Corporation. He has led projects on satellite signal processing, carrier synchronization, and military-grade noise cancellation. His hands-on work with software-defined radios (SDR) and real-world signal applications has made him a key contributor to modern telecommunication advancements, bridging theoretical research with practical implementations.

Awards and Honors🏆

Dr. Hajiabadi has been recognized for his outstanding contributions to communication engineering through multiple awards and distinctions. His work has been featured in leading IEEE journals and conferences, reflecting its high impact. He has received research funding for pioneering studies in adaptive filtering and 6G communications. His role as a reviewer for IEEE Transactions and other esteemed journals highlights his credibility in the research community. Additionally, his patents in noise cancellation circuits for military aircraft showcase his practical innovations in engineering.

Research Focus🔬

Dr. Hajiabadi specializes in 6G wireless communication, adaptive filters, beamforming, noise cancellation, and machine learning applications in signal processing. His research emphasizes optimizing wireless networks using intelligent systems, including channel estimation, equalizers, and interference suppression. His work extends to satellite communication, reconfigurable intelligent surfaces, and AI-driven adaptive systems, addressing real-world challenges in next-generation telecommunications. With a strong emphasis on both theoretical advancements and hardware implementation, his contributions shape the future of wireless connectivity and intelligent communication networks.

Publication Top Notes

🔹 Recursive Maximum Correntropy Learning Algorithm with Adaptive Kernel Size

      Year: 2017 🗓 | Cited by: 36 📑 | IEEE Transactions on Circuits and Systems II: Express Briefs

🔹 Adaptive Multitask Network Based on Maximum Correntropy Learning Algorithm

      Year: 2017 🗓 | Cited by: 19 📑 | International Journal of Adaptive Control and Signal Processing

🔹 Cooperative Spectrum Estimation Over Large‐Scale Cognitive Radio Networks

      Year: 2017 🗓 | Cited by: 15 📑 | IET Signal Processing

🔹 Distributed Adaptive LMF Algorithm for Sparse Parameter Estimation in Gaussian Mixture Noise

      Year: 2014 🗓 | Cited by: 14 📑 | 7th International Symposium on Telecommunications (IST’2014)

Conclusion

Dr. Mojtaba Hajiabadi is a distinguished researcher in communication engineering, specializing in 6G, wireless communication, adaptive filters, and AI-driven signal processing. With a Ph.D. from Ferdowsi University of Mashhad and research experience at KU Leuven, he has made significant contributions through high-impact publications in IEEE Transactions and other prestigious journals. His innovative work includes a patent on acoustic noise cancellation and collaborations on satellite signal detection and defense applications. As a dedicated educator and mentor, he shapes future researchers while actively reviewing for top academic journals. His international exposure, industry collaborations, and academic excellence make him a strong candidate for the Best Researcher Award.

 

Iqbal Singh | Supercapacitor | Best Researcher Award

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Mr. Iqbal Singh | Supercapacitor | Best Researcher Award

Mr. Iqbal Singh, Southern Illinois University Edwardsville, United States

Iqbal Singh is a dedicated researcher and engineer specializing in electrical and computer engineering. He is currently pursuing his Master of Science at Southern Illinois University Edwardsville (SIUE), focusing on computational modeling of supercapacitors. With a strong academic background, he holds a B.Tech in Electrical & Electronics Engineering from IK Gujral Punjab Technical University. His expertise spans power systems, digital VLSI design, and renewable energy simulations. As a research assistant, he has contributed to multiple IEEE and Elsevier publications. Passionate about innovation, he has also taught electrical engineering courses and actively volunteers in mentorship programs. ⚡📡

Publication Profile

Scopus

Education 🎓📚

Iqbal Singh is advancing his expertise in Electrical and Computer Engineering through an M.S. at SIUE (2023-2025). His research focuses on energy storage systems, particularly supercapacitors, using COMSOL Multiphysics for thermal and electrical simulations. He previously earned a B.Tech in Electrical & Electronics Engineering from IK Gujral Punjab Technical University, graduating with an 8.05/10 CGPA. His coursework covered Power System Analysis, Digital VLSI Design, Bioinstrumentation, and High-Frequency Design. Throughout his academic journey, he has engaged in various workshops, including Machine Learning, Cloud Computing, and Renewable Energy Simulation, solidifying his technical proficiency. ⚙️🔋

Experience 🏫🔍

Iqbal Singh is currently a Graduate Research Assistant at SIUE, where he conducts advanced simulations on supercapacitors and publishes in leading scientific journals. Previously, he served as a Lecturer in Electrical Engineering at Satyam Polytechnic & Pharmacy College (2021-2023), teaching Energy Conservation, Electrical Engineering Fundamentals, and Digital Electronics. His industry-relevant expertise extends to microcontrollers, PLC programming, circuit design, and MATLAB simulations. Additionally, he has led multiple research projects, including density-based traffic light control systems and thermal modeling of MoS₂ electrodes. His professional journey reflects a blend of academic rigor and practical implementation in energy storage and power systems. 🏗️🔌

Awards & Honors 🏆🎖️

Iqbal Singh has been recognized for his outstanding academic and research contributions. He was featured in GradNews 2025 by SIUE and secured 1st position twice in the B.Tech Merit List at IK Gujral Punjab Technical University. His research publications in IEEE, Elsevier, and SPIE have garnered international recognition. He has also been awarded for his exceptional work in computational modeling and optimization of supercapacitors. Through active participation in professional societies like IEEE and SPIE, he continues to enhance his technical knowledge and contribute to groundbreaking research in electrical engineering. 🌍📖

Research Focus 🔬⚡

Iqbal Singh’s research primarily revolves around supercapacitor optimization, energy storage systems, and computational modeling. His work includes analyzing thermal effects on MoS₂ electrodes in KOH electrolytes, utilizing convex optimization techniques for improving supercapacitor energy density, and investigating free-space optics transmission. His interdisciplinary approach integrates digital VLSI design, renewable energy simulations, and biomedical applications of hydrogels. His research, published in IEEE, Elsevier, and SPIE conferences, aims to enhance energy storage efficiency, bridging the gap between computational modeling and practical applications in electrical engineering. 🔋📡

Publication Top Notes

  • “A Review on Supercapacitors: Development Trends, Challenges, and Future Perspectives” (2025)

  • “Computational Modeling of Thermal Effects on MoS₂ Electrodes in KOH Electrolyte” (2024)

    • Presented at IEEE ICIITCEE 2024, Bangalore, India

  • “Convex Optimization Method for Modeling Energy Density of Supercapacitor” (2024)

  • “Maximizing Supercapacitor Performance: Boosting Energy Storage with Convex Optimization” (2024)

  • “Overview of Hydrogels and Hydrogels-Based Actuators for Biomedical Applications” (2022)

  • “A 160 Gbps Free-Space Optics Transmission Enabled by DP-256-QAM and DSP Algorithms” (2022)

Hassany akkou | Electrical systems | Best Researcher Award

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Mr. Hassany akkou | Electrical systems | Best Researcher Award

Mr. Hassany akkou, FP Taza, Sidi Mohammed Ben Abdallah University, Morroco.

Based on the information provided, here is an assessment of Mr. Hassan Yakkou’s suitability for the “Best Researcher Award”:

Publication profile

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Education and Training

 

Doctoral Student, FP Taza, Morocco (December 2021 – Present)

Research Topic: Integration of ICTE in the Teaching of Physical Sciences: Realities and Perspectives.

Conclusion: Mr. Yakkou’s current research is highly relevant in today’s educational landscape, focusing on the integration of technology in science teaching, which is crucial for modernizing educational methods and improving learning outcomes.

Specialized Master’s Degree in Teaching Physics, ENS Fez, Morocco (July 2020)

Conclusion: This degree complements Mr. Yakkou’s foundational knowledge with specialized skills in physics education, reflecting his commitment to advancing teaching practices in the field.

Bachelor’s Degree in Physics, Dhar el Mhraz Faculty of Science, Fez (July 2010)

Option: Signals and Systems

Conclusion: His undergraduate studies provided a strong grounding in physics and signal systems, laying the groundwork for his advanced research and specialization.

Diploma of General University Studies in Physics (July 2009)

Conclusion: This early academic achievement demonstrates Mr. Yakkou’s long-standing dedication to the field of physics and education.

Baccalaureate in Experimental Sciences (June 2005)

Conclusion: The baccalaureate level education represents Mr. Yakkou’s initial entry into the sciences, setting the stage for his subsequent academic and research endeavors.

Articles and Publications

Conclusion

Mr. Hassan Yakkou’s academic background, ongoing research, and publications reflect a strong commitment to advancing physics education and integrating modern technologies into teaching. His work addresses contemporary challenges in education and technology, making him a suitable candidate for the “Best Researcher Award.” His innovative approach and focus on improving student outcomes align well with the criteria for the award.