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.

Dr. Zhisong Ou | Best Researcher Award

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Dr. Zhisong Ou | Best Researcher Award

Institute of Rock and Soil Mechanics, Chinese Academy of Sciences | China

Dr. Zhisong Ou is an Assistant Researcher at the Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, specializing in environmental geotechnical mechanics, multiphase flow dynamics, and thermo-hydro-mechanical-chemical (THMC) coupling processes. He earned his Ph.D. in geotechnical engineering and has gained extensive experience in computational modeling and experimental studies of flow and transport in porous media. Dr. Ou has authored 24 peer-reviewed publications, received 521 citations, and holds an h-index of 13, reflecting his impactful research contributions. His work focuses on advancing high-fidelity reacting immersed boundary methods, unified fluid–solid dynamics theories, and efficient one-field multiscale multiphysics models that enhance the understanding of coupled processes in geotechnical and environmental systems. As project leader for the National Natural Science Foundation of China Youth Fund and the CAS Special Research Assistant Project, he has led innovative research on contaminated site remediation, waste treatment, and sustainable infrastructure solutions. In addition, he serves on the Young Editorial Board of ICEST, contributing to the dissemination of knowledge in his field. Dr. Ou’s combination of theoretical insights, advanced modeling approaches, and problem-oriented research positions him as a rising research leader with strong potential to drive breakthroughs in environmental geotechnics and sustainable engineering.

Profile : Scopus

Featured Publications

Ou, Z., et al. (2025). Modeling and simulation of steam-enhanced extraction: Parameter effect of injected steam–air mixture on NAPL remediation at contaminated sites. Journal of Hazardous Materials.

Ou, Z., et al. (2025). A monolithic fluid–structure interaction approach for multiscale flows with deformable porous media. Physics of Fluids.

Ou, Z., et al. (2024). High-fidelity reacting immersed boundary method for interface-scale resolving simulations in porous media. Journal of Computational Physics.

Ou, Z., et al. (2023). Thermo-hydro-mechanical-chemical coupling analysis for waste containment barriers. Computers and Geotechnics.

Ou, Z., et al. (2022). Multiscale modeling of heat and mass transport in variably saturated soils under thermal gradients. International Journal of Heat and Mass Transfer.