Lei Tian | Embedded systems | Best Researcher Award

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Assoc. Prof. Dr. Lei Tian | Embedded systems | Best Researcher Award

Laboratory Director | Xi’an University of Posts & Telecommunications | China

Assoc. Prof. Dr. Lei Tian is currently the Laboratory Director at Xi’an University of Posts & Telecommunications and has been engaged in the field of optoelectronic interconnection systems since 2006. He earned his PhD in Circuits and Systems from Xidian University in 2015 and completed postdoctoral research at the Institute of Modern Physics, Northwest University in 2019. His research focuses on photoelectric conversion efficiency, noise reduction modeling, and embedded systems, with an emphasis on new semiconductor materials. Under his leadership, the research group has published over 60 papers, including 15 SCI-indexed, 20 EI-indexed, and 10 core Chinese journal papers. Notable journal contributions include work in the International Journal of Hydrogen Energy, Diamond & Related Materials, and Physica Status Solidi B. He has authored a monograph (ISBN: 978-7-5641-9621-9) and a Ministry of Industry and Information Technology textbook. Dr. Tian has led and completed several key projects, including a current Key R&D project from the Natural Science Foundation of Shaanxi Province, as well as multiple local and provincial initiatives in collaboration with the Xi’an Science and Technology Bureau. He has also contributed to six State Grid projects and various industry-academia engagements. With a strong interdisciplinary background, he continues to drive innovation in optoelectronic system design and modeling. According to current metrics, Lei Tian has 34 published documents, a total of 61 citations, and an h-index of 4, reflecting his growing impact in the field of electronic and photonic system research.

Profile: Scopus

Featured Publications

1. Tian, L., & He, C. (2024). Z-scheme WSTe/MoSSe van der Waals heterojunction as a hydrogen evolution photocatalyst: First-principles predictions. 
Cited by: 1

 2. Tian, L., & He, C. (2024). First-principles exploration of hydrogen evolution ability in MoS₂/hBNC/MoSSe vdW trilayer heterojunction for water splitting.
Cited by: 3

Ali Yahia Cherif | Electrical Engineering | Best Researcher Award

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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

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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.