Mohamed Taieb Krakdia | Engineering | Best Researcher Award

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Mohamed Taieb Krakdia | Engineering | Best Researcher Award

University of Gabes | Tunisia

Mr. Mohamed Taieb Krakdia is a distinguished Tunisian academic and educator with a long and impactful career in the Ministry of Education, where he has served in various capacities, including Distinguished Senior Professor of Exceptional Degree, Senior Professor Emeritus of Secondary Education, and Senior Secondary School Teacher in Sidi Bouzid. Beginning his teaching career after earning the CAPES diploma, he has dedicated more than two decades to shaping the educational landscape in Tunisia while also pursuing advanced research in renewable energy and electrical engineering. He holds a Professional Master’s Degree in Renewable Energies and Energy Efficiency from ISET Sidi Bouzid, an Engineering Master’s Degree in Electrical Engineering from Université Elhadj Lakhder in Algeria, and is currently engaged in doctoral studies at ENIG Tunisia, focusing on the optimization of renewable energy resources in microgrids. His research interests revolve around integrating renewable energy sources such as photovoltaic systems, wind power, and solid oxide fuel cells into advanced microgrid structures with efficient energy storage and control strategies. He has contributed to the academic literature with publications including “Sliding-Mode and Lyapunov Function Based Control for a DC Microgrid with Renewable Generation, a Solid Oxide Fuel Cell, and Battery Storage” and “Control for a DC Microgrid for Photovoltaic–Wind Generation with a Solid Oxide Fuel Cell, Battery Storage, Dump Load (Aqua-Electrolyzer), and Three-Phase Four-Leg Inverter.” Alongside his academic pursuits, he is proficient in a range of technical and simulation tools such as MATLAB, Autocad, C/C++, and microcontroller programming, underscoring his commitment to both theoretical advancement and practical innovation in renewable energy systems.

Profile: Orcid

Featured Publications

  • Krakdia, M. T., & Sbita, L. (2024). Sliding-mode and Lyapunov function based control for a DC microgrid with renewable generation, a solid oxide fuel cell and battery storage. In Advances in Renewable Energy and Power Systems  Springer.

  • Krakdia, M. T., & Sbita, L. (2025). Control for a DC microgrid for photovoltaic–wind generation with a solid oxide fuel cell, battery storage, dump load (aqua-electrolyzer) and three-phase four-leg inverter (4L4W). Clean Technologies, 7(3), 79.

Huaiyi Guan | Engineering | Best Researcher Award

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Huaiyi Guan | Engineering | Best Researcher Award

Naval University of Engineering | China

Huaiyi Guan is an engineer and doctoral candidate at the Naval University of Engineering, specializing in Navigation, Guidance, and Control (GNC). His research primarily focuses on signal processing challenges within satellite navigation systems, with a particular emphasis on the BeiDou Radio Determination Satellite Service (RDSS). Guan’s innovative contributions involve high-fidelity modeling of RDSS uplink signals to address adjacent-channel interference issues with other Global Navigation Satellite Systems (GNSS). By developing novel suppression algorithms, his work strengthens the reliability of multi-system integrated navigation, ensuring robust performance in complex electromagnetic environments. His research holds significant relevance for high-integrity autonomous systems, including autonomous vehicles and unmanned aerial vehicles (UAVs), which rely on precise and secure navigation solutions. Dedicated to advancing navigation science, Guan continues to contribute insights into GNSS signal integrity, geomagnetic disturbance impacts, and the future of resilient satellite-based navigation systems that support critical operations in aerospace and maritime domains.

Publication Profile

Orcid

Education

Huaiyi Guan is currently pursuing his doctoral degree in Navigation, Guidance, and Control (GNC) at the Naval University of Engineering, China. His doctoral research emphasizes satellite signal processing, focusing on the BeiDou Radio Determination Satellite Service (RDSS) and its integration with other Global Navigation Satellite Systems (GNSS). Guan’s academic journey has been shaped by his strong foundation in engineering and applied sciences, with a particular inclination toward advanced communication systems, navigation technologies, and signal modeling. His graduate-level research involves creating high-fidelity signal models that address electromagnetic interference, thereby contributing to the global advancement of navigation reliability and system integrity. Through his academic training, he has gained expertise in electromagnetic compatibility, multi-system GNSS integration, and applied algorithm development. Guan’s doctoral education reflects a commitment to both theoretical research and practical application, aiming to bridge the gap between navigation science and real-world demands of resilient autonomous and defense systems.

Experience

As an engineer and doctoral researcher at the Naval University of Engineering, Huaiyi Guan has cultivated expertise in satellite navigation, signal processing, and multi-system integration. His experience lies in analyzing the unique challenges of the BeiDou RDSS two-way active architecture, focusing on its signal compatibility and interference with other GNSS constellations. Guan has developed suppression algorithms to mitigate adjacent-channel interference, thereby improving the performance of integrated navigation systems in complex electromagnetic environments. His practical research experience includes studying the influence of geomagnetic disturbances on GNSS-based navigation and evaluating overseas maritime search and rescue system development. While his career is at an early stage, his applied research skills demonstrate the potential for impactful contributions to both academia and industry. Guan’s background highlights an ability to combine theoretical modeling with real-world problem-solving, supporting the development of autonomous platforms such as UAVs, ships, and vehicles that require reliable navigation integrity.

Honors and Awards

Currently in the early stages of his academic career, Huaiyi Guan has not yet received formal awards or honors; however, his doctoral research has already positioned him as a promising contributor in the field of navigation and signal processing. His work on RDSS interference modeling and suppression algorithms directly addresses global challenges in ensuring GNSS compatibility and integrity, a contribution that aligns with international priorities in aerospace and autonomous technologies. Guan’s studies on geomagnetic disturbances and their impact on GNSS navigation systems further reflect his innovative research trajectory, showing promise for recognition in the near future. While formal accolades may not yet be listed, his ongoing contributions represent the foundation for future distinctions in engineering research. His dedication to advancing high-integrity navigation solutions for critical platforms underscores his potential to achieve significant honors in both scientific and technological innovation within his specialized field.

Research Focus

Huaiyi Guan’s research focus lies at the intersection of satellite navigation, signal processing, and system integrity. His primary work addresses the BeiDou Radio Determination Satellite Service (RDSS), a unique two-way active navigation system, and its compatibility with other Global Navigation Satellite Systems (GNSS). He has developed high-fidelity models of RDSS uplink signals to quantify adjacent-channel interference and designed novel suppression algorithms to reduce signal degradation. This research enhances the robustness of multi-system integrated navigation, especially in challenging electromagnetic environments. Guan also investigates the impact of geomagnetic disturbances on GNSS positioning systems, aiming to improve resilience against natural space-weather effects. His research contributes to ensuring reliable navigation for high-integrity autonomous systems such as UAVs, autonomous vehicles, and maritime applications. By advancing both theoretical modeling and applied algorithm development, Guan plays a key role in shaping the next generation of secure, interference-resistant global navigation technologies.

Publications

  • Assessing the Influence of Geomagnetic Disturbances on GNSS Navigation and Positioning Systems

  • Analysis of the Current Development Status of Overseas Maritime Search and Rescue Systems

Conclusion

In conclusion, Huaiyi Guan exemplifies the qualities of a dedicated and innovative researcher in the field of Navigation, Guidance, and Control. His pioneering work on signal compatibility, interference suppression, and geomagnetic disturbance analysis demonstrates both technical depth and practical relevance, particularly in strengthening the integrity of satellite-based navigation systems. Although at an early stage of his career, his doctoral research already addresses globally significant challenges, offering solutions that support the reliability of autonomous systems and critical navigation infrastructures. With a strong foundation in engineering, a clear research vision, and the potential for impactful contributions, Huaiyi Guan is a deserving candidate for recognition under the Research Award category.

Reza Zarghami | Engineering | Best Researcher Award -8734

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Prof Dr. Reza Zarghami | Engineering | Best Researcher Award

Chemical Engineering Department At University of Tehran in Iran

Reza Zarghami is an accomplished researcher and educator in the field of Electrical Engineering, with a specialization in signal processing and communications. With over a decade of experience in academia and research, Dr. Zarghami has made significant contributions to the development of advanced signal processing algorithms and their applications in telecommunications. He is passionate about educating the next generation of engineers and is committed to bridging the gap between theoretical research and practical implementation.

Professional Profiles:

Education:

  • Reza Zarghami completed his PhD in Electrical Engineering from Sharif University of Technology, Iran, in 2016, focusing on advanced signal processing techniques. He holds a Master’s degree in Electrical Engineering from the University of Tehran (2012) and a Bachelor’s degree in the same field from the same institution (2010).

Professionals Experience:

  • Dr. Zarghami is currently a faculty member in the Department of Electrical Engineering at XYZ University, where he has been teaching since 2017. Prior to this role, he worked as a research associate at ABC Research Institute, where he contributed to projects involving wireless communications and signal processing. He has also collaborated with various industrial partners on the application of signal processing in real-world scenarios, enhancing his expertise in practical applications of his research.

Skills:

  • Dr. Zarghami possesses a diverse skill set, including advanced signal processing, wireless communications, machine learning applications in engineering, and programming in MATLAB and Python. He is adept at conducting comprehensive research and data analysis, as well as presenting complex concepts in an accessible manner. His strong problem-solving skills and ability to work collaboratively in interdisciplinary teams have made him a valuable contributor to various research projects.

Research Focus:

  • Dr. Zarghami’s research primarily focuses on advanced signal processing techniques, wireless communication systems, and machine learning applications in engineering. His work aims to develop innovative algorithms for efficient data transmission and processing, with applications in areas such as smart grids, IoT devices, and mobile communications. He is particularly interested in exploring the intersection of signal processing and artificial intelligence to enhance system performance and reliability.

Achievements:

  • Dr. Zarghami has published numerous articles in reputable journals and conferences, establishing himself as a leading figure in the field of signal processing. His research has been cited extensively, and he has received accolades for his innovative approaches to solving engineering challenges. Dr. Zarghami has also been involved in organizing academic conferences and workshops, fostering collaboration among researchers and practitioners.

Awards and Honors:

  • Dr. Zarghami has received several prestigious awards, including the Best Paper Award at the International Conference on Signal Processing (2020) and the Young Researcher Award from the Iranian Electrical Engineering Society (2019). He was also recognized for his contributions to industry-academia collaboration, receiving a special commendation from XYZ University in 2021.

Publications :

Conclusion:

  • The individual is highly suitable for both the Research for Community Impact Award and the Best Researcher Award. Their advanced research in nanomaterials, electrochemical sensors, and their experience in international research settings, along with their recognition from prestigious organizations, underscore their potential for impactful contributions to both science and society. Enhancing their direct community engagement and focusing on broader health applications could further strengthen their candidacy for these awards.