Yucen Yuan | New energy | Research Excellence Award

Mr. Yucen Yuan | New energy | Research Excellence Award

Lanzhou Jiaotong University | China

Mr. Yucen Yuan is an early-career researcher affiliated with Lanzhou Jiaotong University, China, with a focused research profile in intelligent fault diagnosis and data-driven condition monitoring of renewable energy systems. His work lies at the intersection of machine learning, optimization algorithms, and mechanical fault detection, with particular emphasis on wind turbine bearing health assessment. Yuan has authored 2 peer-reviewed publications, accumulating 1 citation to date and 1 h-index, reflecting emerging scholarly visibility. His 2025 article in Engineering Research Express introduces an improved dung beetle optimizer–enhanced LSTM framework, demonstrating methodological innovation in time-series fault diagnosis. This contribution highlights his expertise in deep learning optimization, signal analysis, and industrial predictive maintenance. Yuan has engaged in collaborative research, contributing as part of a small co-author network, and his work supports the reliability and sustainability of wind energy infrastructure. The societal impact of his research aligns with global clean energy goals by advancing intelligent monitoring technologies that reduce equipment failure, maintenance costs, and operational risks in renewable power systems.

Citation Metrics (Scopus)

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Featured Publications

Bellel Nadir | Renewable Energy | Best Researcher Award

Prof. Bellel Nadir | Renewable Energy | Best Researcher Award

Dean | University of Constantine 1 | Algeria

Prof. Bellel Nadir is a multidisciplinary researcher specializing in sustainable materials, thermal–fluid systems, and energy-efficient engineering solutions. With a portfolio of 20 scientific publications, 126 citations and 7 h-index, his work advances bio-based construction materials and solar-driven thermal technologies. Notable contributions include the development of lightweight bio-concretes using agricultural waste and optimized CFD-based designs for solar concentrator systems. His research is strengthened by collaborations with more than 20 international co-authors, reflecting broad academic engagement. Bellel’s work supports global sustainability goals by promoting renewable-energy applications, valorizing biomass residues, and improving eco-friendly construction practices, thereby offering measurable environmental and societal benefits.

Citation Metrics (Scopus)

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Top 5 Featured Publications

Ali Yahia Cherif | Electrical Engineering | Best Researcher Award

Mr. Ali Yahia Cherif | Electrical Engineering | Best Researcher Award

Ali Yahia Cherif | Oum El Bouaghi University | Algeria

Dr. Ali Yahia-Cherif is a Principal Engineer and accomplished researcher in Electrical and Automatic Engineering at the University of Larbi Ben M’hidi, specializing in predictive control, renewable energy systems, and power electronics. He holds a Doctoral candidacy in Electrical and Automatic Engineering, a Master’s degree in Industrial Automation and Human Systems, and a Licence in Automatic Systems from the University of Mentouri Constantine, building a strong academic foundation in advanced control and automation. His professional career encompasses roles as project manager for solar energy, fire prevention, and security system networks, engineer of study and repair in electronic and security systems, university lecturer in programming and applied electrical sciences, and founder of the F.E.A.T. scientific electronics club. Dr. Yahia-Cherif’s research contributions focus on model predictive control, photovoltaic systems, and metaheuristic algorithms, with impactful publications in prestigious journals and international conferences such as Energy Procedia, IET Renewable Power Generation, and the European Journal of Electrical Engineering. His works include novel approaches to PV system optimization, cascaded predictive control, adaptive model predictive strategies, and matrix converter algorithms for wind energy systems. In addition to his academic output, he has demonstrated leadership in multidisciplinary projects, successfully integrating theory and practice in renewable energy applications, electronic system diagnostics, and predictive control innovations. He has also served as a reviewer for international journals and conferences, underscoring his recognition within the academic community. Through his diverse professional activities and scholarly achievements, Dr. Yahia-Cherif exemplifies excellence in advancing research and engineering practice in renewable energy and automatic control. 55 Citations, 9 Documents, 4 h-index.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

Meddour S., Rahem D., Yahia-Cherif A., Hachelfi W., Hichem L., A novel approach for PV system based on metaheuristic algorithm connected to the grid using FS-MPC controller. Energy Procedia, 2019, 162: 57–66. (32 citations)

Remache S.E.I., Yahia-Cherif A., Barra K., Optimal cascaded predictive control for photovoltaic systems: application based on predictive emulator. IET Renewable Power Generation, 2019, 13(15): 2740–2751. (29 citations)

Yahia-Cherif A., Remache S.E.I., Barra K., Wira P., Adaptive model predictive control for three-phase voltage source inverter using ADALINE estimator. Proc. 1st Global Power, Energy and Communication Conference (GPECOM), 2019: 164–169. (7 citations)

Yahia-Cherif A., Hicham L., Kamel B., Implementation of finite set model predictive current control for shunt active filter. Proc. 9th Int. Renewable Energy Congress (IREC), 2018: 1–6. (6 citations)

Meddour S., Rahem D., Wira P., Laib H., Yahia-Cherif A., Chtouki I., Design and implementation of an improved metaheuristic algorithm for maximum power point tracking based on a PV emulator and a double-stage grid-connected system. Eur. J. Electrical Engineering, 2022. (5 citations)

Reza Faraji | Electrical Engineering | Best Researcher Award

Dr. Reza Faraji | Electrical Engineering | Best Researcher Award

Reza Faraji | University of Science and Culture | Iran

Dr. Reza Faraji is a Ph.D. candidate in Electrical and Computer Engineering at Islamic Azad University, with additional academic affiliation at the University of Science and Culture, specializing in nanoelectronics and Quantum-dot Cellular Automata (QCA). He holds a Master’s degree in QCA Design, where his work centered on low-power, high-performance digital circuits. His professional experience spans research assistance and participation in industry-oriented projects, with a focus on energy-efficient architectures for future 6G-enabled IoT systems and semiconductor devices. Faraji’s research expertise encompasses nanoscale circuit design, reversible computing, QCA-based arithmetic logic unit (ALU) and full-adder design, and nanoscale device modeling, including HEMTs and MOSHEMTs. He has published influential work such as the development of a novel reversible multilayer full adder in QCA technology, a compact multilayer ALU achieving ultra-low power dissipation, and a multilayer reversible ALU (RALU) integrating Fredkin and HN gates for optimized area and power efficiency. He has also contributed to advanced modeling of AlN/β- and ε-Ga₂O₃ tri-gate MOSHEMTs for high-power and RF applications, providing theoretical insight into next-generation device performance. His contributions have been cited in multiple international journals, earning recognition for advancing low-power nanoelectronics bridging QCA computing and semiconductor technologies, making him a strong candidate for prestigious technology awards. He has 18 citations, 5 publications with an h-index of 3.

Profile: Scopus

Featured Publications

1. Faraji R., A novel reversible multilayer full adder circuit design in QCA technology. Facta Univ. Ser. Electron. Energ., 2024, 37(3), 437–453.

2. Faraji R., Design of a multilayer reversible ALU in QCA technology. J. Supercomput., 2024, 80(12), 17135–17158.

3. Khodabakhsh A.*, Faraji R., Tandem evaluation of AlN/β- and ε-Ga₂O₃ tri-gate MOSHEMTs. IEEE Trans. Electron Devices, 2025, 72(7), 3452–3460.