Lei Tian | Embedded systems | Best Researcher Award

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

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