Mr. Farshad Sadeghpour | Editorial Board Member

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Mr. Farshad Sadeghpour | Editorial Board Member

Petroleum University of Technology | Iran

Farshad Sadeghpour is a geomechanics and reservoir engineering researcher at the Petroleum University of Technology (PUT), known for his contributions to underground gas storage, petrophysics, and CO₂ geological sequestration. He has authored multiple peer-reviewed publications covering geomechanical upscaling, fracture development under stress, anisotropic rock behavior, storage-efficiency modeling, and petrophysical parameter estimation. His current Google Scholar record lists 22 citations, an h-index of 3, and 6 indexed documents, reflecting his growing influence in subsurface engineering. He holds academic training in petroleum engineering from PUT and additional postgraduate research experience from the Islamic Azad University, Science & Research Branch. His research experience includes collaborative studies on elastic property prediction, machine-learning-based evaluation of CO₂ storage feasibility, and advanced triaxial testing for characterizing anisotropic formations. His work demonstrates strong expertise in integrating experimental, computational, and data-driven approaches to solve complex reservoir challenges. His research interests include geomechanics, underground storage, CO₂ sequestration, petrophysical modeling, machine learning, and rock mechanics. Although still early in his career, his contributions indicate promise for impactful advancements in sustainable subsurface energy systems. Overall, Farshad Sadeghpour is an emerging researcher dedicated to improving geological storage, reservoir characterization, and the scientific foundations of low-carbon energy technologies.

Profile : Google Scholar

Featured Publications

Sadeghpour, F., Darkhal, A., Gao, Y., Motra, H. B., Aghli, G., & Ostadhassan, M. (2024). Comparison of geomechanical upscaling methods for prediction of elastic modulus of heterogeneous media. Geoenergy Science and Engineering, 239, 212915.

Aghli, G., Aminshahidy, B., Motra, H. B., Darkhal, A., Sadeghpour, F., … (2024). Effect of stress on fracture development in the Asmari reservoir in the Zagros Thrust Belt. Journal of Rock Mechanics and Geotechnical Engineering, 16(11), 4491–4503.

Sadeghpour, F. (2025). Storage efficiency prediction for feasibility assessment of underground CO₂ storage: Novel machine learning approaches. Energy, 324, 136040.

Iranfar, S., Sadeghpour, F., Manshad, A. K., Naderi, M., & Shakiba, M. (2025). An eigenvalue-driven framework for the ranking and selection of optimal geological CO₂ storage sites. Results in Engineering, 106770.

Sadeghpour, F., Motra, H. B., Sethi, C., Wind, S., Hazra, B., Aghli, G., … (2025). Elastic properties of anisotropic rocks using a stepwise loading framework in a true triaxial testing apparatus. Geoenergy Science and Engineering, 251, 213883.

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

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