Dr. Meharu Fentahun Endalew | Best Researcher Award

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Dr. Meharu Fentahun Endalew | Best Researcher Award

Beijing Institute of Mathematical Sciences and Applications (BIMSA) | China

Mehari Fentahun Endalew is a researcher affiliated with Debre Tabor University, Ethiopia, and the Beijing Institute of Mathematical Sciences and Applications (BIMSA), with a verified institutional email at dtu.edu.et. His academic background and professional experience are centered on applied mathematics and mathematical modeling, with a strong emphasis on fluid mechanics. His research focuses on hydromagnetic (MHD) flows, Casson and second-grade fluids, nanofluids, porous media, heat and mass transfer, dual-phase-lag heat transfer models, fractional calculus, and convection phenomena. Endalew has authored 19 peer-reviewed documents that have received 237 citations across 149 citing documents, resulting in an h-index of 9. His scholarly output includes publications in journals such as Boundary Value Problems, Heat Transfer,Asian Research, Scientific Reports, International Journal of Fluid Mechanics Research, Journal of Applied and Computational Mechanics, Engineering Reports, Fractal and Fractional, and Partial Differential Equations in Applied Mathematics. His work demonstrates sustained contributions to analytical, numerical, and temporal analyses of complex transport phenomena, including melting heat transfer, radiative effects, magnetic field inclination, chemical reactions, and slip conditions in porous and microchannel flows. Through interdisciplinary mathematical modeling, he continues to advance the theoretical understanding of fluid flow and heat and mass transfer processes.

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Featured Publications

Mr. Maaz Ali Khan | Best Researcher Award

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Mr. Maaz Ali Khan | Best Researcher Award

University of Buner | Pakistan

Maaz Ali Khan is a researcher affiliated with the University of Buner, known for his contributions to thermoelasticity and wave propagation in advanced solid media. His work focuses on the behavior of elastic, thermal, and coupled waves in semiconductor materials and micropolar thermoelastic structures, especially under variable thermal conductivity, laser-induced thermal effects, and temperature-dependent properties. He has coauthored several peer-reviewed studies examining reflected elastic waves, Rayleigh wave behavior, and nonlocal micropolar thermoelastic responses, including investigations involving three-phase-lag models and global sensitivity analysis in rotating solids. His research appears in journals such as Acoustical Physics, Physica Scripta, Mechanics of Solids, and Case Studies in Thermal Engineering. Through his collaborative and interdisciplinary work, he continues to advance understanding of thermoelastic wave phenomena in complex materials systems.

Profile : Google Scholar

Featured Publications

Ullah, I., Khan, M. A., Abo-Dahab, S. M., Dar, A., Sial, M. R., Albalwi, M. D., & Jahangir, A. (2024). Study on impact of variable thermal conductivity or laser pulse on reflected elastic waves in a semiconductor medium. Acoustical Physics, 70(2), 278–287.
Saeed, T., Khan, M. A., Alzahrani, A. R. R., & Jahangir, A. (2024). Rayleigh wave through half space semiconductor solid with temperature dependent properties. Physica Scripta, 99(2), 025208.
Khan, M. A., Jahangir, A., Rahman, A., Mahmoud, E. E., & Almuzaini, M. (2025). Global Sensitivity Analysis of Wave Behavior in Rotating Solids with Laser-Induced Thermal and Stress Effects. Mechanics of Solids, 1–24.
Khan, M. A., Kouki, M., Jahangir, A., Riaz, U., & Rahman, A. (2025). Reflection of Coupled Transverse Waves in Nonlocal Micropolar Thermoelastic Media with Three-Phase-Lag Model. Case Studies in Thermal Engineering, 106926.

Dr. Mubbashar Nazeer | Editorial Board Member

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Dr. Mubbashar Nazeer | Editorial Board Member

Government College University Faisalabad | Pakistan

Dr. Mubbashar Nazeer is a prominent researcher in applied mathematics, specializing in fluid mechanics, bio-fluids, nanofluid dynamics, heat transfer, cavity flows, and finite element analysis. With an h-index of 23, over 90+ documents, and more than 1,800 citations, his research has made significant contributions to nonlinear rheology, multiphase flow modeling, magnetohydrodynamics, and thermal transport in complex fluids. His academic journey includes advanced training in applied mathematics and computational fluid dynamics, followed by extensive experience in numerical modeling, perturbation methods, and simulation-based analysis of non-Newtonian fluid flows. Dr. Nazeer’s research consistently addresses real-world engineering and physiological flow problems, emphasizing novel rheological models such as Eyring–Powell, Casson, Rabinowitsch, Ellis, Jeffrey, and Maxwell fluids. He has collaborated widely across international research groups and published influential work in high-impact journals such as International Communications in Heat and Mass Transfer, Case Studies in Thermal Engineering, Surfaces and Interfaces, and Numerical Methods for Partial Differential Equations. His contributions have earned recognition within the fluid mechanics community, including acknowledgments for outstanding research productivity and high-impact publications. Overall, Dr. Nazeer remains committed to advancing computational modeling and thermal–fluid sciences through innovative problem-solving and interdisciplinary collaboration.

Profile : Google Scholar

Featured Publications

Nayak, M. K., Shaw, S., Khan, M. I., Pandey, V. S., & Nazeer, M. (2020). Flow and thermal analysis on Darcy–Forchheimer flow of copper–water nanofluid due to a rotating disk: A static and dynamic approach. Journal of Materials Research and Technology, 9(4), 7387–7408.

Chu, Y. M., Nazeer, M., Khan, M. I., Hussain, F., Rafi, H., Qayyum, S., & Abdelmalek, Z. (2021). Combined impacts of heat source/sink, radiative heat flux, temperature-dependent thermal conductivity on forced convective Rabinowitsch fluid. International Communications in Heat and Mass Transfer, 120, 105011.

Nazeer, M., Khan, M. I., Rafiq, M. U., & Khan, N. B. (2020). Numerical and scale analysis of Eyring–Powell nanofluid towards a magnetized stretched Riga surface with entropy generation and internal resistance. International Communications in Heat and Mass Transfer, 119, 104968.

Nazir, M. W., Javed, T., Ali, N., & Nazeer, M. (2021). Effects of radiative heat flux and heat generation on magnetohydrodynamics natural convection flow of nanofluid inside a porous triangular cavity. Numerical Methods for Partial Differential Equations.

Mr. Abdul Majeed | Best Researcher Award

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Mr. Abdul Majeed | Best Researcher Award

University of Malakand | Pakistan

Dr. Abdul Majeed is a researcher at the Department of Physics, University of Malakand, specializing in quantum optics, quantum computation, mathematical physics, and plasmonics. His Google Scholar profile records an h-index of 3 with 30 citations across 11 documents. His research explores the coherent control of structured light, soliton dynamics, exceptional surfaces, tunneling effects, and Goos–Hänchen shifts in multi-level atomic and chiral media. He has co-authored several recent papers in leading journals such as Chaos, Solitons & Fractals, Applied Physics B, AIMS Mathematics, Scientific Reports, and Advanced Theory and Simulations, focusing on the theoretical modeling and manipulation of nonlinear optical and quantum phenomena. Dr. Majeed’s academic background includes studies in physics and applied mathematics, and he has experience in both research and teaching within higher education. His work demonstrates a strong grasp of light–matter interactions, plasmonic behavior, and quantum control mechanisms, contributing to the advancement of quantum photonics and optical communication technologies. Although major awards are not yet documented, his growing publication record and international collaborations highlight his emerging status as a promising physicist in theoretical and computational optics. In summary, Dr. Majeed’s contributions are expanding the understanding of quantum coherence and structured-light manipulation in complex media.

Profile : Google Scholar 

Featured Publications

Ullah, I., Majeed, A., & Ali, A., Khan, Z. A. (2025). Reflection and transmission solitons via high magneto optical medium. Chaos, Solitons & Fractals, 191, 115881.

Khan, Z. A., Majeed, A., Ullah, I., & Ali, A. (2025). Coherent generation of superluminal and subluminal propagation of structured light in five level atomic medium. Applied Physics B, 131(2), 30.

Ullah, I., Majeed, A., Dalam, M. E. E., Almazah, M. M. A., & Ali, A. (2025). Coherent manipulation of tunneling and super Gaussian based Goos–Hänchen shift in five level chiral atomic medium. Applied Physics A, 131(2), 89.

Emam, W., Majeed, A., Ali, Z., Ali, A., & Pamucar, D. (2025). Periodic dark and bright optical soliton dynamics in atomic medium governed by control fields of Milnor polynomial and super-Gaussian beam. International Journal of Theoretical Physics, 64(5), 141.

Majeed, A., Ullah, I., Alduais, F. S., Al Bossly, A., Bossly, R., & Ali, A. (2025). Investigation of rotary photon drag of generated structured light in a five level atomic medium. Advanced Theory and Simulations, 8(5), 2401307.

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. Nuriddin Safoev | Best Researcher Award

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Mr. Nuriddin Safoev | Best Researcher Award

Tashkent University of Information Technology | Uzbekistan

Nuriddin Safoev is a dedicated researcher in computer engineering and information security, currently working as an Assistant at the Department of Information Security, Tashkent University of Information Technology, Uzbekistan. He obtained his Master of Engineering in Computer Engineering from Kumoh National Institute of Technology, South Korea, and a Bachelor’s degree in Computer Engineering from the same university where he now teaches. His research primarily focuses on quantum-dot cellular automata (QCA), nanocomputing, hardware security, and cryptographic algorithms for trustworthy communication. Nuriddin Safoev has published more than 20 research papers, accumulating 265 citations and maintaining an h-index of 8 on Scopus. His recent contributions include efficient QCA-based nanoprocessor designs and encryption algorithms that enhance communication security and computational efficiency. His work has appeared in reputable journals such as Physica Scripta, China Communications, and the International Journal of System Assurance Engineering and Management. Safoev’s research aims to bridge the gap between secure computation and nanoscale technology, contributing to the advancement of next-generation communication and computing systems. His scholarly output and consistent research quality highlight his commitment to innovation and excellence in the fields of information security and computational nanotechnology.

Profiles : Google Scholar | Scopus | Orcid

Featured Publications

Khan, A., Safoev, N., Shaw, R. K., Maxmudova, D., Mardov, S., & Isakulova, N. (2025). Efficient two-pair-two-rail checker design using quantum dot cellular automata for nanoprocessors. Physica Scripta, 100(6), add6e2.

Das, R., Khan, A., Arya, R., Ilkhom, B., Bakhtiyor, A., Safoev, N., & Khudoykulov, Z. (2024). SSKA: Secure symmetric encryption exploiting Kuznyechik algorithm for trustworthy communication. International Journal of System Assurance Engineering and Management, 15(3), 1–12.

Khan, A., Safoev, N., & Arya, R. (2023). Modeling of Excess‐3 to BCD code converter for nano system using quantum‐dot cellular automata technology. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 36(3), e3055.

Safoev, N. (2021). Design of fault tolerant bifunctional parity generator and scalable code converters based on QCA technology. International Journal of Information Technology, 13(4), 1431–1441.

Safoev, N., & Jeon, J.-C. (2020). A novel controllable inverter and adder/subtractor in quantum-dot cellular automata using cell interaction based XOR gate. Microelectronic Engineering, 230, 111197.

Prof. Nicolas Lori | Best Researcher Award

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Prof. Nicolas Lori | Best Researcher Award

University of Azores | Portugal

Dr. Nicolas F. Lori is a distinguished physicist and computer scientist, presently serving as an Assistant Professor at the University of the Azores and a researcher at the Centre Algoritmi, University of Minho, Portugal. He earned a Ph.D. in Physics from Washington University in St. Louis in 2001 and a Ph.D. in Informatics from the University of Minho in 2020. With 44 research papers, over 2,495 citations, and an h-index of 13, his work spans theoretical physics, computer science, and neuroscience. Dr. Lori has made pioneering contributions to diffusion MRI, brain connectivity mapping, and theoretical models bridging physics and computation. His studies have appeared in top-tier journals such as PNAS, Radiology, and Annals of Physics. He has successfully led national research projects totaling over €1.5 million and supervised multiple graduate students. His current research interests include MRI data processing, quantum gravity, artificial intelligence, theoretical neuroscience, and computational modeling. A Fulbright Fellow and former Vice-President of Fulbrighters Portugal, Dr. Lori’s career demonstrates a strong commitment to advancing interdisciplinary research that integrates physics, computation, and cognitive science to understand the complexity of the brain and the universe.

Profiles : Google Scholar | Scopus | Orcid

Featured Publications

Lori, N. F., Akbudak, E., Shimony, J. S., Cull, T. S., Snyder, A. Z., Guillory, R. K., … & Conturo, T. E. (2002). Diffusion tensor fiber tracking of human brain connectivity: Acquisition methods, reliability analysis, and biological results. NMR in Biomedicine, 15(7–8), 459–477.

Seehaus, A., Roebroeck, A., Bastiani, M., Fonseca, L., Bratzke, H., Lori, N., … & Galuske, R. (2015). Histological validation of high-resolution DTI in human post mortem tissue. Frontiers in Neuroanatomy, 9, 98.

Sedeno, L., Piguet, O., Abrevaya, S., Desmaras, H., García-Cordero, I., Baez, S., … & Lori, N. F. (2017). Tackling variability: A multicenter study to provide a gold‐standard network approach for frontotemporal dementia. Human Brain Mapping, 38(8), 3804–3822.

Lori, N. F. (2023). Mass creation in superconductors by Physics-cells quantum gravity. Physica C: Superconductivity and Its Applications, 611, 135722.

Lori, N. F. (2025). Darwinian quantum gravity dynamics of small particles. Annals of Physics, 449, 169553.

Lori, N. F. (2025). Varying Newton gravitational “constant” cosmology. Annals of Physics, 451, 170012.

Assoc. Prof. Dr. Shuai Zheng | Best Researcher Award

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Assoc. Prof. Dr. Shuai Zheng | Best Researcher Award

Dalian Jiaotong University | China

Dr. Shuai Zheng is an accomplished researcher and Associate Professor at Dalian Jiaotong University, specializing in intelligent transportation infrastructure, geotechnical safety, and computational modeling. He earned his Ph.D. in Civil Engineering and has extensive experience in bridge and tunnel stability, BIM-based digital construction, and AI-driven reliability analysis. His research integrates theoretical modeling with data-driven engineering to improve the safety and resilience of transportation systems. Dr. Zheng has authored 22 peer-reviewed publications with 94 citations and an h-index of 6, demonstrating consistent scholarly impact. His key works include “Research and Application of Reliability Evaluation Model for Water Inrush Risk during Tunnel Construction” (Tunnelling and Underground Space Technology, 2026) and “ZSI-R Method for Evaluating Foundation Pit Stability in Karst Regions” (Geotechnical and Geological Engineering, 2025). He collaborates with over 50 co-authors worldwide, contributing to multidisciplinary studies in digital and sustainable construction. Dr. Zheng has received provincial-level Science and Technology Progress Awards (2020 & 2022) for his innovative contributions to digital infrastructure development. His research advances the understanding of smart, resilient, and sustainable engineering systems, positioning him as a promising leader in next-generation intelligent construction technologies.

Profiles : Orcid | Scopus

Featured Publications

Zhang, Q., Zheng, S., Zhao, J., Liu, X., Du, E., & Yang, Y. (2025). ZSI-R method for evaluating foundation pit stability in karst regions. Geotechnical and Geological Engineering. https://doi.org/10.1007/s10706-025-03358-x

Ma, C., Yang, Y., Wang, X., Zhang, Y., Wang, H., & Zheng, S. (2025). A new DEM calibration method for the adhesion and shear behavior of clay materials based on response surface methodology. Engineering Research Express. https://doi.org/10.1088/2631-8695/ae0411

Jia, B., Yang, Y., Wang, X., Li, L., Zhang, Y., & Zheng, S. (2025). Real-time prediction method of shield tunneling attitude under complex geological conditions. Engineering Research Express. https://doi.org/10.1088/2631-8695/ae0b30

Zhang, H., Dong, S., Li, S., & Zheng, S. (2025). Sensitivity analysis and optimization of urban roundabout road design parameters based on CFD. Eng, 6(7), 156. https://doi.org/10.3390/eng6070156

Jiang, T., Jiang, A., Zheng, S., Xu, M., & Nguyen-Xuan, H. (2021). Prediction of blast-induced ground vibration (BIGV) of metro construction using differential evolution algorithm-optimized Gaussian process (DE-GP). Shock and Vibration, Article 2847180. https://doi.org/10.1155/2021/2847180

Dr. Patrick Arnaud Wandji Zoumb | Best Researcher Award

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Dr. Patrick Arnaud Wandji Zoumb | Best Researcher Award

National Advanced School of Public Works | Cameroon

Dr. Patrick Arnaud Wandji Zoumb, Ph.D., is a distinguished researcher in civil and structural engineering, specializing in train–bridge interaction, structural dynamics, and machine learning applications for railway infrastructure. He earned his Ph.D. in Bridge and Tunnel Engineering from Southwest Jiaotong University, following a Master’s degree in Bridge and Tunnel Engineering from Wuhan University of Technology and a Bachelor’s in Public Works from the National Advanced School of Public Works. Dr. Zoumb currently serves as an Assistant at the National Advanced School of Public Works, where he contributes to teaching, research, and faculty development, focusing on railway design, structural design, fluid mechanics, and transportation infrastructure. His prior professional experience includes engineering roles in public works projects, providing expertise in bridge assessment, road safety, and infrastructure planning. With an h-index of 8, over 25 indexed publications, and more than 350 citations, his research is internationally recognized. His work integrates advanced computational methods such as Fourier regression, fuzzy random uncertainty, Kalman filters, and neural networks to investigate the dynamic behavior of train–bridge systems under wind, wave, and seismic loads. Dr. Zoumb is a recipient of the prestigious Arthur Wellington Prize (2023) awarded by the American Society of Civil Engineers (ASCE). His ongoing research continues to advance resilient, intelligent, and sustainable railway infrastructure systems.

Profiles : Orcid | Research Gate

Featured Publications

Zoumb, P. A. W., Bwemba, C., Mbessa, M., Moussus, T. W., & Kemta, L. P. (2025). Train-bridge interaction under correlated wind and rain using machine learning. Advances in Structural Engineering, 28(9).

Zoumb, P. A. W., Wang, M., & Kouame, A. R. (2025). Fourier series-based reliability analysis of train-bridge interaction under crosswind action using fuzzy random uncertainty. Structures, 81, 110148.

Li, X., & Zoumb, P. A. W. (2022). Extraction of the unknown hydrodynamic pressure from stochastic responses of the train-bridge system under wind and wave actions using iterative least square estimation and Kalman filter model. Journal of Wind Engineering and Industrial Aerodynamics, 231, 105202.

Zoumb, P. A. W., Li, X., & Wang, M. (2022). Effects of earthquake-induced hydrodynamic force on train–bridge interactions. Journal of Bridge Engineering.

Zoumb, P. A. W., & Li, X. (2022). Influence of earthquake-induced hydrodynamic pressure on train-bridge interactions based on back-propagation neural network. Advances in Structural Engineering.

Zoumb, P. A. W., et al. (2022). Fourier regression model predicting train-bridge interactions under wind and wave actions. Structure and Infrastructure Engineering.

Prof. Morteza Vahedpour | Best Researcher Award

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Prof. Morteza Vahedpour | Best Researcher Award

University of Zanjan | Iran

Dr. Morteza Vahedpour is a prominent Iranian physical chemist and computational researcher, serving as a faculty member in the Department of Chemistry at the University of Zanjan. He earned his Ph.D. in Physical Chemistry from Isfahan University of Technology, specializing in statistical thermodynamics and viscosity relaxation in molecular fluids, following his M.Sc. in computational physical chemistry from Shiraz University. With over 70 peer-reviewed publications, an h-index of 19, more than 1,000 citations, and over 80 research documents, Dr. Vahedpour is widely recognized for his contributions to computational and theoretical chemistry. His research spans reaction kinetics, atmospheric chemistry, acid rain formation mechanisms, DFT calculations, molecular modeling, and the computational design of drug delivery nanoparticles. He has co-authored influential studies on transition metal complexes, polycyclic aromatic hydrocarbons, and mechanistic pathways of key atmospheric reactions. Dr. Vahedpour’s work integrates theory with practical applications, offering insights into catalysis, environmental remediation, and sustainable chemical processes. His dedication to advancing fundamental and applied research continues to inspire young scientists and contributes to the global understanding of chemical reaction mechanisms, green chemistry innovations, and the development of computational methods for solving complex problems in modern chemistry.

Profile : Google Scholar

Featured Publications

Vahedpour, M., Rostamizadeh, K., & Bozorgi, S. (2012). Synthesis, characterization and evaluation of computationally designed nanoparticles of molecular imprinted polymers as drug delivery systems. International Journal of Pharmaceutics, 424(1–2), 67–75.

Monfared, H. H., Vahedpour, M., Yeganeh, M. M., Ghorbanloo, M., & Mayer, P. (2011). Concentration dependent tautomerism in green [Cu(HL1)(L2)] and brown [Cu(L1)(HL2)] with H2L1=(E)-N′-(2-hydroxy-3-methoxybenzylidene) benzoylhydrazone and HL2. Dalton Transactions, 40(6), 1286–1294.

Monfared, H. H., Alavi, S., Bikas, R., Vahedpour, M., & Mayer, P. (2010). Vanadiumoxo–aroylhydrazone complexes: Synthesis, structure and DFT calculations. Polyhedron, 29(18), 3355–3362.

Moghaddam, S. K., Rasoulifard, M., Vahedpour, M., & Eskandarian, M. (2014). Removal of tylosin from aqueous solution by UV/nano Ag/S2O8²− process: Influence of operational parameters and kinetic study. Korean Journal of Chemical Engineering, 31(9), 1577–1581.

Nayebzadeh, M., Vahedpour, M., & Rius-Bartra, J. M. (2020). Kinetics and oxidation mechanism of pyrene initiated by hydroxyl radical: A theoretical investigation. Chemical Physics, 528, 110522.

Vahedpour, M., & Zolfaghari, F. (2011). Mechanistic study on the atmospheric formation of acid rain based on the sulfur dioxide. Structural Chemistry, 22(6), 1331–1338.