Prof. Xin Li | Best Academic Researcher Award

Prof. Xin Li | Best Academic Researcher Award

National University of Defense Technology | China

Professor Xin Li is a leading researcher at the National University of Defense Technology with a Doctor of Engineering degree and extensive expertise in perovskite photodetectors and optoelectronic functional materials. With over 50 peer-reviewed publications, including 6 ESI Hot and 7 Highly Cited papers, he has accumulated more than 3,600 citations and an h-index of 27, reflecting his significant impact in the field. He has completed 2 National Natural Science Foundation of China (NSFC) projects and is currently leading 6 ongoing projects, alongside 3 industry consultancy initiatives. Xin Li has authored 2 books, holds over 20 Chinese invention patents, and serves on the editorial boards of Nano-Micro Letters, Journal of Materials Informatics, Carbon Neutrality, and Laser & Optoelectronics Progress. His research focuses on interface engineering, charge transport modulation, morphology-property relationships, and multifunctional perovskite and MoSe2-based devices for energy conversion and detection applications. Recognized as a 2023 Clarivate Highly Cited Researcher and IAAM Fellow, he has delivered over 100 talks at international conferences such as ICMSN-2024 and Nano S&T-2024, and organized academic salons with more than 1,000 participants. His contributions have earned the Ci Yungui Science Award (Best Researcher) and the National Golden Shield 2022 Technical Challenge Prize, advancing large-area stable photovoltaic design and multifunctional optoelectronic integration.

Profile : Research Gate

Featured Publications

Li, X., Yan, J., Tafese Bezuneh, T., & Yu, W. W. (2025). Lead-free halide perovskite Cs2ZrX6 doped with Cr3+ for multifunctional X-ray and NIR imaging. Advanced Functional Materials.

Li, X., Aftab, S., Yewale, M. A., & Kus, M. (2025). From lab to market: Strategies for stabilizing and scaling perovskite solar cells via printing technologies. Journal of Materials Chemistry A.

Li, X., Dou, X.-A., Ye, Q., & Xie, Y. (2025). Threshold-governed inversion of plasma chronology at air–silicon interfaces under tight femtosecond focusing. Applied Physics Letters.

Li, X., Yan, J., Wang, L., & Yu, W. W. (2025). Efficient dual broadband VIS-NIR emission in Mo-doped double perovskites enabling detection and imaging applications. Nano-Micro Letters.

Li, X., Zhang, K., Yang, Y., Jia, Q., & Wang, G. (2025). A method for generating large-scale implicit lattice structures for direct manufacturing. Materials & Design.

Mr. Asif Khan | Best Researcher Award

Mr. Asif Khan | Best Researcher Award

University of Science and Technology Bannu KPK  | Pakistan

Dr. Asif Nawaz Khan is a Pakistani physicist and lecturer at the University of Science and Technology Bannu (USTB), specializing in computational materials science. He is currently pursuing a Ph.D. in Physics at USTB, after completing an M.Phil. from Gomal University and an M.Sc. from Kohat University. Since 2009, he has been actively involved in teaching, supervising BS and M.Phil students, and guiding research in computational simulations and solar cell device modeling. His research focuses on the design and analysis of lead-free perovskite materials (3D and 2D) and their structural, optical, thermoelectric, elastic, thermodynamic, and phonon properties, along with molecular dynamics studies. He employs advanced simulation tools including WIEN2k, Quantum Espresso, CASTEP, and SCAPS-1D, and applies machine learning techniques for material property prediction. Dr. Khan has co-authored multiple high-impact publications, currently holding an h-index of 3 with 38 citations, reflecting his contributions to clean energy materials and sustainable photovoltaics. His work advances the understanding and development of efficient, stable, and multifunctional energy materials. Overall, Dr. Khan is committed to advancing computational materials research and training the next generation of scientists in energy and optoelectronic applications.

Profile : Google Scholar  

Featured Publications

Khan, A., Khan, N. U., Nawaz, A., Ullah, K., & Manan, A. (2024). A DFT study to explore structural, electronic, optical and mechanical properties of lead-free Na₂MoXO₆ (X= Si, Ge, Sn) double perovskites for photovoltaic and optoelectronic applications. Computational and Theoretical Chemistry, 1240, 114834. https://doi.org/10.1016/j.comptc.2024.114834

Hosen, A., Mousa, A. A., Nemati-Kande, E., Khan, A. N., Abu-Jafar, M. S., … (2025). Systematic computational screening and design of double perovskites Q₂LiMH₆ (Q= K, Rb; M= Ga, In, Tl) for efficient hydrogen storage: A DFT and AIMD approach. Surfaces and Interfaces, 106608. https://doi.org/10.1016/j.surfin.2025.106608

Khan, A. N., Rabhi, S., Jehangir, M. A., Charif, R., Khan, N. U., Begagra, A., … (2025). Evaluating A₂SrGeI₆ (A= K and Rb) lead-free double perovskites: Structural, elastic, and optoelectronic insights for clean energy. Inorganic Chemistry Communications, 174, 113949. https://doi.org/10.1016/j.inoche.2025.113949

Khan, N. U., Ghani, U., Khan, A., Khan, A. N., Ullah, K., Ali, R., & Fadhali, M. M. (2025). Theoretical insight into stabilities and optoelectronic properties of RbZnX₃ (X=Cl, Br) halide perovskites for energy conversion applications. Optical and Quantum Electronics, 57(1), 109. https://doi.org/10.1007/s11082-025-04789-1

Rabhi, S., Khan, A. N., Chinoune, O., Charif, R., Bouri, N., Al-Qaisi, S., … (2025). Insight into NaSiCl₃: A lead-free perovskite for the next generation revealed by DFT and SCAPS-1D. Physical Chemistry Chemical Physics, 27(25), 13490–13507. https://doi.org/10.1039/D5CP02345A