Reza Faraji | Electrical Engineering | Best Researcher Award

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Dr. Reza Faraji | Electrical Engineering | Best Researcher Award

PhD Candidate | University of Science and Culture | Iran

Dr. Reza Faraji is a dedicated PhD candidate in Electrical and Computer Engineering at Islamic Azad University (IAU), with a collaborative affiliation with the University of Science and Culture (USC). His primary area of research is nanoelectronics, with a specialization in Quantum-dot Cellular Automata (QCA) and reversible computing. He earned his Master’s degree in QCA design from USC, where his thesis focused on designing low-power, high-performance digital circuits. Reza’s academic foundation is reinforced by research assistant roles and engagement in advanced nano-circuit projects. His ongoing research includes the design of a Multilayer Reversible ALU (RALU) using Fredkin and HN gates optimized for 6G-enabled IoT systems, and device modeling of AlN/β- and ε-Ga₂O₃ Tri-Gate MOSHEMTs using DFT and TCAD simulations for mm-Wave applications on diamond substrates. These projects aim to advance low-power and high-efficiency architectures for next-generation communication and computation systems. He actively collaborates with Dr. Abdalhossein Rezai (USC) on QCA-based circuit design and with Dr. Amir Amini (IAU, West Tehran Branch) on nanoscale device modeling. Although he has no patents or books published yet, his work shows promise for industrial applications in IoT and semiconductor sectors. Currently, Reza has 5 published documents, 18 citations and an h-index of 3, reflecting the growing impact of his research in the scientific community. His key areas of expertise include QCA, reversible logic, ALU design, nanoscale HEMTs, and energy-efficient digital architectures for 6G and future nanoelectronic systems.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

1. Faraji-Dana, R., & Chow, Y. L. (2002). The current distribution and AC resistance of a microstrip structure. IEEE Transactions on Microwave Theory and Techniques, 38(9), 1268–1277. 
Cited by: 149

2. Mehdipour, A., Mohammadpour-Aghdam, K., & Faraji-Dana, R. (2007). Complete dispersion analysis of Vivaldi antenna for ultra wideband applications. Progress In Electromagnetics Research, 77, 85–96. 
Cited by: 134

3. Hosseininejad, S. E., Rouhi, K., Neshat, M., Faraji-Dana, R., & Abdolali, A. (2019). Reprogrammable graphene-based metasurface mirror with adaptive focal point for THz imaging. Scientific Reports, 9(1), 2868. 
Cited by: 107

4. Abbas-Azimi, M., Arazm, F., Rashed-Mohassel, J., & Faraji-Dana, R. (2007). Design and optimization of a new 1–18 GHz double ridged guide horn antenna. Journal of Electromagnetic Waves and Applications, 21(4), 501–516. 
Cited by: 76

5. Faraji-Dana, R., & Chow, Y. (1990). Edge condition of the field and AC resistance of a rectangular strip conductor. IEE Proceedings H – Microwaves, Antennas and Propagation, 137(2), 133–140. 
Cited by: 71

Ali Yahia Cherif | Electrical Engineering | Best Researcher Award

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

Phd Student | Oum Elbouaghi University | Algeria

Ali Yahia-Cherif is a seasoned Algerian electrical and automation engineer born in 1991, with extensive expertise in predictive control systems, renewable energy, and electronic system diagnostics. He holds a Master’s in Industrial Automation and a Bachelor’s in Automatic Control from the University of Mentouri Constantine, and has been pursuing a Ph.D. in Electrical and Automatic Engineering since 2014 at the University of Larbi Ben M’hidi, focusing on the development of experimental platforms for shunt active filter systems. His professional experience spans over a decade, including roles as a principal engineer and project manager in high and low-current installations—covering solar energy systems, surveillance, access control, and fire safety networks. He also worked as an engineer in security systems and has teaching experience in programming and electrical engineering at the university level. His leadership in the F.E.A.T scientific electronics club demonstrates his early commitment to innovation. Ali has authored over 12 scientific publications in reputable journals such as IET Renewable Power Generation, International Journal of Circuit Theory and Applications, and European Journal of Electrical Engineering, addressing advanced topics in predictive control, hybrid energy storage, and photovoltaic systems. He has presented his work at key international conferences including GPECOM, IREC, and ICEEAC.

Profile: Google Scholar 

Featured Publications

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

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

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

4. Yahia Cherif, A., Hicham, L., & Kamel, B. (2018). Implementation of finite set model predictive current control for shunt active filter. In 2018 9th International Renewable Energy Congress (IREC) (pp. 1–6). IEEE. 
Cited by: 6

5. Meddour, S., Rahem, D., Wira, P., Laib, H., Yahia Cherif, A., & Chtouki, I. (2022). Design and implementation of an improved metaheuristic algorithm for maximum power point tracking algorithm based on a PV emulator and a double-stage grid-connected system. European Journal of Electrical Engineering, 24(3), 423–430.
Cited by: 5

Ali Yahia Cherif | Electrical Engineering | Best Researcher Award

Published on by Technology Scientists

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.