Karim Dahech | Electrical Engineering | Research Excellence Award

Prof. Karim Dahech | Electrical Engineering
| Research Excellence Award

Higher Institute of Industrial Management of Sfax | Tunisia

Prof. Karim Dahech’s research focuses on advanced nonlinear control and observer design with strong applications in renewable energy systems and industrial process optimization. A major contribution lies in the development of sliding mode, terminal sliding mode, and backstepping-based control strategies to enhance robustness, stability, and performance of photovoltaic and wind energy conversion systems, particularly for maximum power point tracking under uncertainties and disturbances. His work integrates fuzzy logic, T–S fuzzy models, and nonlinear observers to address complex dynamics, improve energy efficiency, and ensure reliable operation of renewable energy systems. In parallel, he has contributed significantly to observer-based control and multi-model approaches for nonlinear and uncertain systems, enabling accurate state estimation and fault-tolerant control. These methods have been successfully applied to microgrids, grid-connected inverters, and wastewater treatment processes, demonstrating interdisciplinary impact across energy and environmental engineering. The research emphasizes practical implementation, including processor-in-the-loop validation and real-time applicability, bridging theory and industrial deployment. Overall, this body of work advances robust control methodologies for sustainable energy and complex nonlinear systems, with measurable scientific impact reflected by 274 total citations (191 since 2020), an h-index of 7 (6 since 2020), and an i10-index of 6 (5 since 2020).

Citation Metrics (Google Scholar)

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Featured Publications

Maximum Power Point Tracking of Photovoltaic Systems Based on Fast Terminal Sliding Mode Controller
International Journal of Renewable Energy Research, 2016 (24 citations)
Fuzzy Observer-Based Control for Maximum Power-Point Tracking of a Photovoltaic System
International Journal of Systems Science, 2018 (23 citations)
A Sliding Mode Observer for Uncertain Nonlinear Systems Based on Multiple-Model Approach
International Journal of Automation and Computing, 2017 (13 citations)

Alessandro Vizzarri | Electronics Engineering | Editorial Board Member

Prof. Alessandro Vizzarri | Electronics Engineering
| Editorial Board Member

University of Rome Tor Vergata | Italy

Prof. Alessandro Vizzarri is a distinguished researcher and academic in telecommunications engineering, intelligent networks, and artificial intelligence. He serves as an RTD/A Researcher at the University of Rome Tor Vergata, where he leads and contributes to advanced research in telecommunications networks, AI/ML systems, multimedia technologies, and next-generation communication infrastructures. He also teaches courses in Radiomobile Multimedia Networks, Telecommunications and Internet, and Artificial Intelligence.With extensive experience across academia, research institutes, and industry, Prof. Vizzarri’s work encompasses AI-driven network optimization, edge computing, satellite–terrestrial integration, 5G/LEO hybrid systems, and cybersecurity. He has held key technical and management roles in major national and European research initiatives, including projects funded by EUSPA, ESA, Horizon 2020/Horizon Europe, and the Italian Ministry of Enterprises. His contributions span diverse sectors such as autonomous mobility, railway signalling, satellite communications, immersive digital heritage, and smart city infrastructure.Beyond research, Prof. Vizzarri is actively involved in innovation management and technology transfer. He delivers training and seminars on AI/ML, digital transformation, intellectual property strategies, and research project development. His career includes substantial achievements in system architecture, platform design, multidisciplinary coordination, and the development of future-ready communication technologies.

 Profile:  Scopus 

Featured Publications

Yang Li | Electrical Engineering | Best Researcher Award

Assoc. Prof. Dr. Yang Li | Electrical Engineering
| Best Researcher Award

Director at Forensic Science Institute China People’s Police University, China.

Dr. Li Yang is an Associate Professor at the China People’s Police University, specializing in electrical fire investigation and forensic evidence analysis. With a Ph.D. in Safety Science and Engineering from Xi’an University of Science and Technology and extensive research on arc faults, short-circuit initiation, and pyrolysis gas analysis, he has become a leading voice in electrical fire forensics. He serves on the Committee on Electrical Fire Safety of the China Fire Association and has led multiple national and provincial projects. Recognized as a Distinguished Teacher of Hebei Province in 2022, his contributions have significantly enhanced fire evidence identification technologies. He has also played a pivotal role in national training programs and technical innovations for fire investigators.

🌍 Professional Profile:

Scopus

🏆 Suitability for the Best Researcher Award :

Dr. Li Yang is a strong candidate for the Best Researcher Award due to his pioneering work in electrical fire investigation. His research advances the forensic science field through the development of intelligent identification technologies and fault simulation devices. He has been instrumental in leading key national and provincial projects, authoring technical patents, and contributing to cutting-edge publications. His academic leadership, combined with practical innovation, addresses critical safety concerns in fire investigation. Recognition by both academic institutions and the Ministry of Public Security underscores his impact. His ability to integrate science, engineering, and real-world application makes him not only a productive researcher but a transformative force in safety science.

🎓 Education :

Li Yang holds a Doctor of Philosophy in Safety Science and Engineering from Xi’an University of Science and Technology (2018–2022). Prior to that, he earned a Master of Science in Materials Science (2008–2011) and a Bachelor of Science in Fire Investigation (2004–2008), both from the China People’s Police University. His interdisciplinary educational background has equipped him with a solid foundation in forensic materials, fire safety engineering, and investigative techniques. This strong academic progression supports his current research and teaching in the field of electrical fire forensics and contributes to the training of future safety professionals in law enforcement and public safety sectors.

🏢 Work Experience :

Dr. Li Yang has served in various academic positions at the China People’s Police University since 2014. Currently an Associate Professor in the Investigation College (since 2020), he previously held positions in the Department of Fire Engineering. Over the years, he has been deeply involved in curriculum development, investigator training, and research supervision. His expertise has also been sought by national bodies such as the Ministry of Public Security, where he serves as a fire-related case investigation expert. He has combined teaching excellence with project leadership across government-funded and institutional research. His dual role as educator and researcher enables him to bridge academic knowledge with field application effectively.

🏅 Awards and Honors :

Dr. Li Yang has received numerous accolades for his contributions. Notably, he was honored as a Distinguished Teacher of Hebei Province in 2022 and selected as a Fire Investigation Expert by the Criminal Investigation Bureau of the Ministry of Public Security in 2020. He is a Committee Member on Electrical Fire Safety with the China Fire Association. His research earned the Third Prize from the Ministry of Public Security Science and Technology Award in 2019. These awards reflect both his academic excellence and societal impact. Through these honors, Dr. Yang has been recognized for his research leadership, technological innovation, and dedication to advancing fire safety practices across China.

🔬 Research Focus :

Dr. Li Yang’s research centers on electrical fire forensics, particularly the mechanisms behind short-circuit faults, arc-related ignition, and trace identification. He applies cutting-edge tools such as STA-FTIR-GC/MS to analyze pyrolysis gases from common materials in electrical systems, aiming to establish the forensic links between device failure and fire cause. His studies also examine the behavior of molten droplets, overcurrent wire degradation, and fault inversion modeling under variable environmental conditions. He leads national R&D programs and technical research projects focusing on intelligent identification technologies and early-warning mechanisms. His goal is to enhance fire evidence analysis reliability and improve training and tools for first responders and forensic investigators in China.

📊 Publication Top Notes:

🔥 Lin Q‑W, Li X, Li Y, Deng J, Man P‑R, Jia Y‑Z. Comparative investigation on thermo‑oxidative degradation and fire characteristics of flame‑retardant and non‑flame‑retardant polyvinyl chloride wires. Thermal Science and Engineering Progress. 2025;57:103210. • 📄 Cited X times

Lin Q‑W, Li Y, Man P‑R, Jin Y, Lyu H, Wang H, Zhao Y, Su W, Deng J. Effects of applied voltages on the occurrence features of short circuits in building cables exposed to constant radiation heat. Journal of Building Engineering. 2024;98:111038. • 📄 Cited Y times

🧪 Lin Q‑W, Li Y, Deng J, F‑F He, P‑R Man. Thermo‑oxidative degradation behavior of poly(vinyl chloride) insulation for new and overloaded wires via TG‑FTIR. Journal of Applied Polymer Science. 2024;141(39):e55994. • 📄 Cited Z times

🧯 Li Z, Lin Q‑W, Li Y, et al. Effect of the current on the fire characteristics of overloaded polyvinyl chloride copper wires. Polymers. 2022;14(21):4766.* • 📄 Cited A times

🔥 Lin Q‑W, Li Y, Deng J. Formation mechanism and microstructural analysis of blistering marks on overcurrent copper wires. Fire Safety Journal. 2024;150(Pt A):104268. • 📄 Cited B times

Li Y, Sun Y, Gao Y, et al. Analysis of overload‑induced arc formation and bead characteristics in a residential electrical cable. Fire Safety Journal. 2022;131:103626. • 📄 Cited C times