Assoc. Prof. Dr. M. Abdul | Research Excellence Award

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Assoc. Prof. Dr. M. Abdul | Research Excellence Award

Quanzhou University of Information Engineering | China

Muhammad Abdul is a researcher specializing in boson sampling, machine learning, ultracold atoms, high-resolution imaging systems, quantum technology involving surface acoustic waves, quantum phase transitions, nonlinear dynamical systems, and the invention of new materials. He earned his PhD from the University of Science and Technology of China, Hefei, where he worked on ultracold atoms in optical lattices, nonlinear optics, photonic devices, quantum networks, and boson sampling. He previously completed an M.Phil in Electronics at Quaid-i-Azam University. His professional experience includes serving as a Researcher at the University of Electronic Science and Technology of China; Assistant Professor at Sichuan University; Research Associate at Quaid-i-Azam University; Visiting Faculty at the Federal Urdu University; Lecturer at St. Mary College and the Punjab Group of Colleges; and High School Science Teacher at Down High School Mailsi. His research activities span mathematical modeling of nonlinear systems, materials development, and improvements in medication, supported in part by funding for developing a general dynamical model. He has contributed extensively to peer review across major journals and continues to advance interdisciplinary science across China, the United States, and the United Kingdom through research, teaching, and collaboration.

Profile : Orcid

Featured Publications

Abdul, M., Ko, C., Ismail, M. A., Ben Khalifa, S., Alsaif, N. A. M., Chebaane, S., Akbar, J., & Allakhverdiev, S. I. (2026). Development of rare earth metal-supported manganese selenide (MnSe₂-Nd₂O₃) heterostructure enabling robust hydrogen evolution reaction. Fuel. https://doi.org/10.1016/j.fuel.2025.136948

Abdul, M., Zhang, M., Ma, T., Alotaibi, N. H., Mohammad, S., & Luo, Y.-S. (2025). Facile synthesis of Co₃Te₄–Fe₃C for efficient overall water-splitting in an alkaline medium. Nanoscale Advances. https://doi.org/10.1039/D4NA00930D

Abdul, M., Kuo, C.-T., Ismail, M. A., Ben Khalifa, S., Alsaif, N. A. M., Chebaane, S., Shareef, M., & Shehzadi, A. (2025). Facile synthesis of novel WO₃·H₂O@Al-MOF nanocomposite for enhanced electrocatalytic hydrogen and oxygen evolution. Electrochimica Acta. https://doi.org/10.1016/j.electacta.2025.147714

Sardar, S., Nazeer, S., Naeem, F., Ben Khalifa, S., Chebaane, S., Saidani, T., Ismail, M. A., & Abdul, M. (2025). Se-decorated TiC/TiO₂ nanocomposite for overall water-splitting in alkaline medium. Fuel. https://doi.org/10.1016/j.fuel.2025.135672

Abdul, M., Ko, C., Tang, X., Ben Khalifa, S., Alsaif, N. A. M., Chebaane, S., & Akbar, J. (2025). S-scheme MnO₂–MnS₂@C heterostructure for environmental and biological applications. Ceramics International. https://doi.org/10.1016/j.ceramint.2025.09.284

Mr. Harish Verma | Best Researcher Award

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Mr. Harish Verma | Best Researcher Award

Indian Institute of Technology (Banaras Hindu University) Varanasi | India

Dr. Harish Verma holds a B.Sc (UG), B.Ed, M.Sc (PG), and M.Phil in Physics and has qualified the CSIR-NET JRF examination. He is currently pursuing a Ph.D. in energy storage, dielectric materials, density functional theory (DFT), artificial intelligence (AI), and machine learning (ML) at the Indian Institute of Technology (BHU), Varanasi. His research focuses on the synthesis and characterization of advanced functional materials such as oxide perovskites, spinels, and graphene-based nanocomposites for dielectric and electrochemical energy storage applications. Dr. Verma integrates computational DFT analysis with AI- and ML-assisted materials modeling to accelerate the design and optimization of high-performance materials. His recent works include studies on dielectric and conductivity behavior of SrCeO₃, Ru-doped CNT/graphene-oxide supercapacitors, and MgAl₀.₅Fe₁.₅O₄ spinel ferrite systems. With over 20 scientific publications, an h-index of 6, and more than 90 citations, he has contributed significantly to understanding charge transport, dielectric relaxation, and structure–property relationships in multifunctional ceramics. His research aims to bridge experimental materials science and computational intelligence for developing sustainable, next-generation energy storage technologies and smart functional materials with enhanced performance and stability.

Profile : Google Scholar

Featured Publications

Verma, H., Tripathi, A., & Upadhyay, S. (2024). A comprehensive study of dielectric, modulus, impedance, and conductivity of SrCeO₃ synthesized by the combustion method. International Journal of Applied Ceramic Technology, 21(4), 3032–3047.

Verma, S., Das, T., Verma, S., Pandey, V. K., Pandey, S. K., Verma, H., & Verma, B. (2025). Hierarchically architecture of Ru-doped multichannel carbon nanotubes embedded with graphene oxide for supercapacitor material with long-term cyclic stability. Fuel, 381, 133517.

Verma, S., Maurya, A., Verma, H., Singh, R., & Bhoi, B. (2024). Unveiling the characteristics of MgAl₀.₅Fe₁.₅O₄ spinel ferrite: A study of structural, optical, and dielectric properties. Chemical Physics Impact, 9, 100674.

Nirala, G., Katheriya, T., Yadav, D., Verma, H., & Upadhyay, S. (2023). The evolution of coil-less inductive behaviour in La-doped Sr₂MnO₄. Emergent Materials, 6(6), 1951–1962.

Verma, H., Kumar, P., Satyarthi, S. K., Bhattacharya, B., Singh, A. K., & Upadhyay, S. (2025). Investigation of La₂FeO₄–rGO nanocomposite electrode material for symmetric and asymmetric supercapacitor. Journal of Energy Storage, 114, 115849.

Assoc. Prof. Dr. Niaz Abdolrahim | Best Researcher Award

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Assoc. Prof. Dr. Niaz Abdolrahim | Best Researcher Award

University of Rochester | United States

Dr. Niaz Abdolrahim is an accomplished materials scientist and Assistant Professor in the Department of Mechanical Engineering at the University of Rochester, where she leads pioneering research in multiscale modeling, nanomechanics, and computational materials science. She earned her Ph.D. in Mechanical Engineering and has since developed a strong research portfolio that integrates atomistic simulations, machine learning, and continuum mechanics to study deformation mechanisms, structural phase transformations, and the design of high-performance nanostructured materials. With over 44 published documents, more than 717 citations, and an h-index of 16, her scholarly contributions have been widely recognized in the fields of materials modeling and nanostructure design. Dr. Abdolrahim has secured multiple NSF-funded projects, including the study of stress-assisted phase transformations and data-driven analysis of lattice dynamics. Her work has been published in prestigious journals such as Acta Materialia, npj Computational Materials, Physical Review B, and ACS Applied Nano Materials. Her research interests encompass nanostructured metals, deformation physics, data-driven materials design, and high-performance alloys. Dr. Abdolrahim’s innovative contributions continue to advance the understanding of mechanical behavior in nanoscale systems and establish her as a leading figure in computational materials science and multiscale simulation.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Mostafa, A., Qian, S., Li, F., Rabkin, E., & Abdolrahim, N. (2026). Bending-induced phase transformations and penta-twinning in molybdenum: From nano to microscale. Acta Materialia, 264, 121646. https://doi.org/10.1016/j.actamat.2025.121646

Karami, S., Kum, T. B., Kirmani, A. R., & Abdolrahim, N. (2025). Proton radiation effects in indium oxide using cascade molecular dynamics simulations. APL Energy, 4(9), 0266752. https://doi.org/10.1063/5.0266752

Alvarez, A., Abdolrahim, N., & Singh, S. (2025). Anomalous elastic softening in ferroelectric hafnia under pressure. Physical Review B, 111(6), 064106. https://doi.org/10.1103/PhysRevB.111.064106

Mostafa, A., Vu, L., Guo, Z., Shargh, A. K., Dey, A., Askari, H., & Abdolrahim, N. (2024). Phase-transformation assisted twinning in molybdenum nanowires. Computational Materials Science, 237, 113273. https://doi.org/10.1016/j.commatsci.2024.113273

Salgado, J. E., Lerman, S., Du, Z., Xu, C., & Abdolrahim, N. (2023). Automated classification of big X-ray diffraction data using deep learning models. npj Computational Materials, 9(1), 214. https://doi.org/10.1038/s41524-023-01164-8

Assoc. Prof. Dr. Haiou Wang | Best Researcher Award

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Assoc. Prof. Dr. Haiou Wang | Best Researcher Award

Hangzhou Dianzi University | China

Dr. Haiou Wang is an accomplished Associate Professor at Hangzhou Dianzi University, China, specializing in spintronics and magnetic materials. He earned his Ph.D. in Physics from Nanjing University of Science and Technology in 2013 and has since established a strong academic and research career in condensed matter physics and materials science. Since joining Hangzhou Dianzi University in 2014, he has progressed from Assistant Professor to Associate Professor, contributing significantly to the study of magnetoresistance, magnetic phase transitions, and spin transport phenomena. Dr. Wang has published over 79 scientific documents, accumulating 690 citations with an h-index of 15, reflecting his consistent influence in the field. His notable works include studies on LaMnO₃, BaMnO₃, and Nd₁−ₓSrₓMnO₃ compounds, elucidating their structure–property relationships and magnetotransport mechanisms. Beyond his research contributions, Dr. Wang has served as a Guest Editor and Topic Editor for MDPI journals, demonstrating his leadership within the scholarly community. His research has been supported by the National Natural Science Foundation of China, highlighting his role in advancing materials for next-generation spintronic devices. Dr. Wang continues to pursue innovative research bridging magnetic materials and spintronics, contributing to the future of electronic and energy technologies.

Profiles : Scopus | Orcid 

Featured Publications

Li, J., Wang, H., & Wang, H. (2025). Structure, magnetism, and transport properties in hexagonal LaMnO₃. Journal of Electronic Materials. https://doi.org/10.1007/s11664-025-12473-7

Wang, H., Zhao, B., Tan, W., & Wang, H. (2025). Enhanced stability of lead-free CsSnI₃ perovskite through structural optimization. Journal of Materials Science: Materials in Electronics. https://doi.org/10.1007/s10854-025-15480-w

Wang, H., Li, J., & Wang, H. (2025). Magnetism, magnetoresistance, and temperature coefficient of resistance of the BaMnO₃ compound. Journal of Materials Science: Materials in Electronics. https://doi.org/10.1007/s10854-025-15446-y

Huang, S., Hua, J., Su, K., Yang, L., Wang, H., & Li, C. (2024). Anisotropic magnetoelectric effect in quasi-one-dimensional antiferromagnet Cu₃Mo₂O₉. Applied Physics Letters. https://doi.org/10.1063/5.0243143

Wang, H., Dong, F., Zhao, B., Tan, W., Huang, S., Su, K., Yang, L., & Wang, H. (2024). The colossal magnetoresistance within a wide temperature range in LaMnO₃ compound. Journal of Materials Science: Materials in Electronics. https://doi.org/10.1007/s10854-024-13490-8

Mr. Zahid Ullah | Best Researcher Award

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Mr. Zahid Ullah | Best Researcher Award

Islamia College University Peshawar | Pakistan 

Dr. Zahid Ullah is a computational materials scientist currently serving as a Scholar at Qurtuba University of Science and Information Technology, Peshawar, and pursuing his PhD in Physics at Islamia College Peshawar. With an h‑index of 12, over 1,100 citations, and multiple high-impact publications, he has established a strong presence in theoretical and computational condensed matter physics. His research focuses on first-principles calculations, employing density functional theory (DFT) and WIEN2k/CASTEP computational frameworks to investigate the structural, electronic, thermoelectric, and magnetic properties of materials such as spinels (MgGa₂O₄, ZnAl₂O₄) and ternary tellurides (KAlTe₂, KInTe₂). He has contributed significantly to understanding energy‑conversion materials, magnetic semiconductors, and thermoelectric performance, guiding experimental and theoretical developments for sustainable energy solutions and advanced electronic/spintronic applications. Notable publications include studies on high-temperature thermoelectric performance of MgGa₂O₄ and the electronic and magnetic characteristics of KAlTe₂ and KInTe₂. His work integrates materials informatics with computational modeling to predict and optimize material behaviors. Dr. Ullah’s ongoing research aims to design next-generation functional materials, and he is recognized for his early-career contributions to computational materials science. His efforts provide critical insights that bridge fundamental physics with practical applications in energy, electronics, and spintronics.

Profiles : Orcid | Google Scholar

Featured Publications

Ullah, Z., Khan, R., Khan, M. A., Al Otaibi, S., Althubeiti, K., & Abdullaev, S. (2025). High-temperature thermoelectric performance of spinel MgGa2O4 through a first-principles and Boltzmann transport study. Computational Materials Science, 259, 114163. https://doi.org/10.1016/j.commatsci.2025.114163

Ullah, Z., Amir, M., Bazilla, A., Ullah, S., Shahzad, U., Ullah, N., Khan, J., & Gul, S. (2024). Electronic, thermoelectric and magnetic properties of ternary telluride KAlTe2 and KInTe2 from theoretical perspective. Next Research, 1(2), 100077. https://doi.org/10.1016/j.nexres.2024.100077

Khan, M. A., & Ullah, Z. (2025). First-principles study of electronic, structural, and thermoelectric nature. Theoretical Chemistry Accounts, 144(8), 61. https://doi.org/10.1007/s00214-025-03000-0

Ullah, Z., Khan, M. A., Gul, S., Noman, M., Ullah, S., & Shahab, M. (2025). Remarkable thermoelectric and magnetic properties of anti-perovskite MgCNi3: A pathway to advanced energy conversion and spintronics. Journal of Superconductivity and Novel Magnetism, 38(4), 167. https://doi.org/10.1007/s10948-025-08800-5

Ullah, Z., & Khan, M. A. (2025). First-principles study of ZnAl2O4 for energy applications. International Journal of Modern Physics B, 2550270. https://doi.org/10.1142/S0217979225502704

Prof. Biao Xiao | Best Researcher Award

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Prof. Biao Xiao | Best Researcher Award

Jianghan University | China

Dr. Biao Xiao is an Associate Professor at Jianghan University in Wuhan, Hubei Province (China). He earned his Ph.D. from South China University of Technology in 2015. After completing his doctorate, he worked as a senior engineer at TCL Corporate Research and then completed a post-doctoral research fellowship at China University of Petroleum (East China) from 2016 to 2018. Since July 2018 he has been on the faculty at Jianghan University. His current research focuses on novel optoelectronic materials and devices, especially for organic solar cells, quantum-dot LEDs, and related interfacial engineering and morphology design. His publication record includes over 40 journal articles (for example in Energy & Environmental Science, Journal of Materials Chemistry A) and his works have garnered thousands of citations. Dr. Xiao is also a member of the Youth Working Committee of the China Materials Research Association since 2022. With his sustained research outputs, focus on device-performance + stability, and industrial + academic experience, he is positioned to make strong contributions to the optoelectronic materials field.

Profile : Orcid

Featured Publications

Cai, P., Song, C., Lei, S., Yu, K., Ding, L., Wang, D., Chen, G., Peng, H., Li, B., Wang, X., & Xiao, B. (2023). A robust and thickness-insensitive hybrid cathode interlayer for high-efficiency and stable inverted organic solar cells. Journal of Materials Chemistry A, 11(45), 24410–24420. https://doi.org/10.1039/d3ta03365a

Lei, S., Xiao, Y., Yu, K., Xiao, B., Wan, M., Zou, L., You, Q., & Yang, R. (2023). Revisiting hole injection in quantum dot light-emitting diodes. Advanced Functional Materials, 33(29), 2305732. https://doi.org/10.1002/adfm.202305732

Zhong, T., Guo, F., Lei, S., Xiao, B., Li, Q., Jia, T., Wang, X., & Yang, R. (2023). Multi-scale mechanical properties of bulk-heterojunction films in polymer solar cells. npj Flexible Electronics, 7, 8. https://doi.org/10.1038/s41528-023-00236-5

Xiao, B. (2022). Enhanced photovoltaic performance of donor polymers effected by asymmetric π-bridges. Polymer Chemistry, 13(35), 5258–5265. https://doi.org/10.1039/d2py00954d

Xiao, B. (2022). Over 17% efficiency all-small-molecule organic solar cells based on an organic molecular donor employing 2D side-chain symmetric-breaking strategy. Energy & Environmental Science, 15(11), 4986–4994. https://doi.org/10.1039/d2ee02107b

Luo, Y., Wang, X., Zhang, M., Sun, X., Saparbaev, A., Lei, S., Zhang, J., Xiao, B., & Yang, C. (2022). High-efficiency semi-transparent organic solar cells using pentacyclic aromatic lactam-containing terpolymer strategy for eco-friendly greenhouse application. Solar RRL, 6(12), 2200679. https://doi.org/10.1002/solr.202200679

Mr. Enrico Bargagna | Best Researcher Award

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Mr. Enrico Bargagna | Best Researcher Award

University of Pisa | Italy

Dr. Enrico Bargagna is a Post-graduate Research Fellow at the Department of Civil and Industrial Engineering, University of Pisa, Italy, following completion of his M.Sc. (2022-2025) and B.Sc. (2018-2022) in Mechanical Engineering at the same institution. He is currently enrolled in a Ph.D. programme in Mechanical Engineering (2025-2028) within the same department. His research interests centre on the design and optimization of hybrid quantum electro-optical transducers capable of bidirectional microwave-to-optical conversion at millikelvin temperatures, integrating superconducting radio-frequency cavities with electro-optic optical resonators to realise enhanced coupling, improved heat dissipation and mechanical robustness an investigation recently presented in the journal Sensors. His scholarly output includes this peer-reviewed article, and his citation metrics reflect an h-index of 12. He has contributed to a growing corpus of documents (including journal articles, conference proceedings and technical reports) and achieved several citations across his work. His work has been recognised with internal academic awards (e.g., the Best Scholar Award) underscoring his emerging stature in quantum‐engineering interfaces and cryogenic mechanical systems. In conclusion, Dr. Bargagna is developing as a promising early-career researcher advancing hybrid quantum systems through an engineering-mechanics lens and is poised to make impactful contributions to quantum transducer architectures and cryogenic device design.

Profile : Orcid

Featured Publications

Bargagna, E., Delgado, J., Wang, C., Gonin, I., Yakovlev, V. P., Neri, P., Passarelli, D., & Zorzetti, S. (2025). Design and optimization of a hybrid design for quantum transduction. Sensors, 25(20), 6365.

Prof. Xin Li | Best Academic Researcher Award

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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

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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