Prof. Dr. Andras Bardossy | Spatial Statistics | Excellence in Research Award

Prof. Dr. Andras Bardossy | Spatial Statistics | Excellence in Research Award

University of Stuttgart | Germany

Prof. Dr. András Bardossy is a distinguished expert in hydrology with research contributions spanning stochastic hydrology, geostatistics, surface and subsurface hydrology, hydroclimatology, climate change, and fuzzy computations. His professional career includes leading academic and research roles in prominent international institutions, focusing on hydrology, geohydrology, and water management. He has conducted extensive research in precipitation modeling, GCM downscaling, regionalization of hydrological models and parameters, groundwater and soil moisture evaluation, infiltration modeling, and environmental decision-making under uncertainty. His work further covers groundwater pollution modeling, multivariate statistical modeling, sediment transport, water quality analysis, and geostatistical investigation of environmental systems. Prof. Bardossy has held honorary and invited professorships at several globally recognized universities and has supervised 56 PhD scholars, with a strong publication record comprising 231 scientific papers. His core expertise also includes spatial statistics and advanced data analysis techniques.

Baste, S., Klotz, D., Acuña Espinoza, E., Bardossy, A., & Loritz, R. (2025). Unveiling the limits of deep learning models in hydrological extrapolation tasks. Hydrology and Earth System Sciences, 29(21), 5871–5891.

Zhang, Q., Zhang, K., Bárdossy, A., Li, Y., & Wu, N. (2025). Improving representation of hydrological process heterogeneity in grid-Xin’anjiang model through a stepwise approach. Journal of Hydrology, 655, 132897.

El Hachem, A., Seidel, J., & Bárdossy, A. (2025). Probabilistic downscaling of EURO-CORDEX precipitation data for the assessment of future areal precipitation extremes for hourly to daily durations. Hydrology and Earth System Sciences.

Hörning, S., & Bárdossy, A. (2025). Simulation of conditional non-Gaussian random fields with directional asymmetry. Spatial Statistics, 65, 100872.

El Hachem, A., Seidel, J., O'Hara, T., Villalobos Herrera, R., Overeem, A., Uijlenhoet, R., Bárdossy, A., & de Vos, L. (2024). Technical note: A guide to using three open-source quality control algorithms for rainfall data from personal weather stations. Hydrology and Earth System Sciences.

Dr. Abdolreza Farhadian | Flow Assurance | Excellence in Research Award

Dr. Abdolreza Farhadian | Flow Assurance | Excellence in Research Award

Kazan Federal University | Russia

Dr. Abdolreza Farhadian is a leading researcher in the oil and gas field, specializing in the development of environmentally friendly and advanced classes of kinetic hydrate inhibitors, anti-agglomerants, and corrosion inhibitors. His work focuses on hybrid inhibition strategies to simultaneously manage hydrate formation and corrosion challenges while overcoming compatibility issues between conventional inhibitors. He is also actively engaged in designing innovative kinetic hydrate promoters to enhance natural gas storage and transportation, along with carbon dioxide sequestration via clathrate hydrates. His research further extends to the development of oil-soluble catalysts and surfactants for heavy oil aquathermolysis, contributing to improved recovery efficiency. Dr. Farhadian has held progressive research leadership roles at Kazan Federal University and currently leads a joint research laboratory in collaboration with Dalian University of Technology. He has been a key contributor to multiple major industrial and government-supported projects and has received international recognitions including Top 2% Scientist rankings and multiple advisory and editorial board appointments. His broader research interests encompass gas storage, flow assurance, CO₂ capture, hydrogen storage, corrosion inhibition, biomaterials synthesis, water desalination, and enhanced oil recovery.

Chen, Z., Farhadian, A., Sadeh, E., Chen, C., & Striolo, A. (2025). Counterion-dependent promotion of methane hydrate formation by anionic biosurfactants: A molecular perspective for efficient gas storage. Chemical Engineering Journal, 170846.

Zhang, Y., Qiang, Y., Zhang, W., Ramakrishna, S., Farhadian, A., & Jin, Y. (2025). Formation of a green protective layer by symmetric imidazolium-based ionic liquids for metal corrosion inhibition: Interfacial adsorption and mechanistic insights. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 723, 137299.

Chen, Z., Farhadian, A., Sadeh, E., & Chen, C. (2025). Micellization effects in surfactant-enhanced gas hydrate formation for efficient solidified methane storage. Energy, 332, 137088.

Sadeh, E., Liu, Y., Farhadian, A., Semenov, M. E., & Mohammadi, A. (2025). Impact of hydroxyl group in surfactant structure on methane hydrate formation, pelletization, and dissociation for advanced transportable methane pellets. Journal of Colloid and Interface Science, 690, 137306.

Liu, Y., Farhadian, A., Chen, C., Chen, Z., Chen, X., Yang, L., & Wang, H. (2025). Molecular dynamics insights into surfactant-regulated methane hydrate nucleation and growth: Comparative roles of sodium oleate and hydroxylated sodium oleate. Crystal Growth & Design, 25(12), 4426–4440.

Prof. Steven Dufour | Fluid Mechanics | Best Researcher Award

Prof. Steven Dufour | Fluid Mechanics | Best Researcher Award

Polytechnique Montreal | Canada

Prof. Steven Dufour is a distinguished faculty member at École Polytechnique de Montréal with extensive international academic experience, including visiting professorships in the United States, Saudi Arabia, and Brazil. He is an active member of IEEE, SIAM, and PMI, and has led numerous research projects in computational methods and fluid mechanics, supervising a large number of researchers across different levels. His projects span areas such as scientific machine learning, quantum computing, wireless power transfer, magnetohydrodynamics, turbulence modeling, superconductivity, artificial neural networks, numerical methods, and optimization for engineering systems. He has taught a wide range of mathematical and engineering courses, including finite element methods, deep learning mathematics, linear algebra, and scientific computing, and has coordinated major undergraduate programs. Prof. Dufour also plays a strong leadership role in university governance, contributing significantly to academic councils, program development, labor agreement negotiations, and institutional committees, demonstrating consistent commitment to advancing engineering education and research.

Khademi, A., & Dufour, S. (2025). Physics-informed neural networks with trainable sinusoidal activation functions for approximating the solutions of the Navier–Stokes equations. Computer Physics Communications.

Khademi, A., Salari, E., & Dufour, S. (2025). Simulation of 3D turbulent flows using a discretized generative model physics-informed neural networks. International Journal of Non-Linear Mechanics, 170, 104988.

Khademi, A., & Dufour, S. (2024). A novel discretized physics-informed neural network model applied to the Navier–Stokes equations. Physica Scripta, 99(7), 076016.

Arab, H., Wang, D., Wu, K., & Dufour, S. (2022). A full-wave discontinuous Galerkin time-domain finite element method for electromagnetic field mode analysis. IEEE Access, 10, 125243–125253.

Arab, H., Arabsalmanabadi, B., & Dufour, S. (2022). A novel time-domain numerical methodology for the electromagnetic analysis of an H-plane tee power divider. The Journal of Engineering, 2022(10), 1032–1036.

Prof. Vladimir Filinov | Quantum Thermodynamics | Best Researcher Award

Prof. Vladimir Filinov | Quantum Thermodynamics | Best Researcher Award

Joint Institute for High Temperatures of the Russian Academy of Sciences | Russia

Prof. Vladimir Filinov is a distinguished scientist at the Theoretical Department of the Institute for High Temperatures, Russian Academy of Sciences in Moscow, with a long-standing career in advanced theoretical and computational physics. His primary specialization focuses on computational methods of quantum statistical mechanics and wave propagation in random media, along with contributions to computer physics, Monte Carlo methods, perturbation theory of dense gases and plasmas, and solid-state systems. He has pioneered quantum complex-valued Monte Carlo techniques, path-integral approaches for stationary and non-stationary quantum problems, quantum molecular dynamics for the Wigner–Liouville equation, and the tomographic representation of quantum mechanics, with significant research on strongly correlated dusty, electromagnetic, and quark–gluon plasmas. His work has been widely recognized through notable awards, memberships in professional scientific societies, research grants, collaborative international programs, and visiting professorships across several universities worldwide. He has authored more than two hundred papers, numerous scientific communications, and several influential books and encyclopedia chapters, contributing extensively to the advancement of quantum statistical physics.

Filinov, V., Levashov, P., & Larkin, A. (2025). Wigner path integral representation of the density of states: Monte Carlo simulation of plasma media. Journal of Statistical Physics.

Filinov, V., Levashov, P., & Larkin, A. (2025). Density response and correlation functions in the Wigner path integral representation: Monte Carlo simulations. Physics Letters A: General Atomic and Solid State Physics.

Filinov, V. S., Levashov, P. R., & Larkin, A. S. (2025). Spectral density of the Wigner path integral operator correlation function representation: Monte Carlo simulation of the fermion dynamic structure factor. Molecular Physics.

Filinov, V. S., Levashov, P. R., & Larkin, A. S. (2024). Phase-space path-integral representation of the quantum density of states: Monte Carlo simulation of strongly correlated soft-sphere fermions. Physical Review E.

Filinov, V., Levashov, P., & Larkin, A. (2023). Density of states of a 2D system of soft-sphere fermions by path integral Monte Carlo simulations. Journal of Physics A: Mathematical and Theoretical.

Assoc. Prof. Dr. Adnan Ozsoy | Computational Methods | Best Researcher Award

Assoc. Prof. Dr. Adnan Ozsoy | Computational Methods | Best Researcher Award

Hacettepe University | Turkey

Dr. Adnan Ozsoy is a computer engineering academic specializing in blockchain, cryptocurrencies, distributed systems, parallel computing, HPC, GPGPU technologies, and big data problems. He has led and contributed to multiple prestigious funded research projects covering efficient parallelization on GPUs, lattice-based cryptographic protocols, and NTRU-based cryptosystems. His current research focuses on blockchain applications across sectors such as health, land registry, digital identity, secure distributed storage, scalable microservices, high-rate message handling, voltage scaling on GPUs, data compression, SDR-based real-time signal detection, and sequence alignment. He has supervised numerous Ph.D. and M.S. theses in blockchain technologies, parallel and embedded systems, cryptography, and secure distributed computing. At Hacettepe University, he teaches core and advanced subjects including data structures, algorithms, parallel programming, and blockchain, and has pioneered Turkey’s first undergraduate and graduate blockchain course. His professional engagements include consultancy at NETGSM on big data architecture, cloud and container technologies, microservices, scalability challenges, and academic R&D outcomes. His career is further supported by several major international and national awards, invitations for seminars and trainings, and industry collaborations in GPU computing and blockchain technologies.

Erdogan, H. T., & Ozsoy, A. (2025). CUDA-supported 5G multi-access edge computing modifications on 5G-air-simulator. EURASIP Journal on Wireless Communications and Networking, 2025(1), 29.

Ozsoy, A., Nazli, M., Cankur, O., & Sahin, C. (2025). CUSMART: Effective parallelization of string matching algorithms using GPGPU accelerators. Frontiers of Information Technology & Electronic Engineering, 26(6), 877–895.

Cihan, S., Yılmaz, N., Ozsoy, A., & Beyan, O. D. (2025). A systematic review of the blockchain application in healthcare research domain: Toward a unified conceptual model. Medical & Biological Engineering & Computing, 63(5), 1319–1342.

Zorlu, O., & Ozsoy, A. (2024). A blockchain-based secure framework for data management. IET Communications, 18(10), 628–653.

Fisne, A., Kalay, A., Yavuz, F., Cetintepe, C., & Ozsoy, A. (2023). Energy-efficient computing for machine learning based target detection. Concurrency and Computation: Practice and Experience, 35(24), e7582.

Assoc Prof Dr. Emmanuel Adeyefa | Theoretical Physics | Editorial Board Member

Assoc Prof Dr. Emmanuel Adeyefa | Theoretical Physics | Editorial Board Member

Federal University Oye Ekiti | Nigeria

Dr. Emmanuel Adeyefa is an experienced academic and administrator with extensive service in university departments, faculty committees, and accreditation panels. He has served in various leadership roles, including Acting Head of Department, Postgraduate Coordinator, Faculty Committee Chair, and Course Coordinator for several undergraduate and postgraduate mathematics courses. His teaching portfolio covers a wide range of advanced mathematical fields such as numerical analysis, fluid dynamics, analytical dynamics, real analysis, vector and tensor analysis, and mathematical methods. He has worked in multiple higher institutions, contributing to curriculum development, accreditation activities, academic leadership, and student disciplinary processes. He has actively participated in national and international conferences, presenting research in numerical methods, cryptography, differential equations, and applied mathematics. Dr. Adeyefa has supervised numerous undergraduate, MSc, and PhD research projects and serves as an external examiner in reputable universities. He is a member of several professional mathematical societies and contributes to scholarly publishing through peer review for multiple journals. His community service includes election duties and examining roles with national examination bodies. His research and academic activities span theoretical physics, high-energy physics, ordinary differential equations, numerical algorithms, and related mathematical applications.

Profiles: Scopus | Orcid | Google Scholar  

Featured Publications

Enoch, O. O., Adeyefa, E. O., & Alakofa, C. O. (2025). A three-step numerical method for solving second-order initial value problems using trigonometric–polynomial basis function. FUOYE Journal of Engineering and Technology, 10(1), 171–177.

Omole, E., Adeyefa, E. O., Apanpa, O., Ayodele, V. I., Amoyedo, M., & Emadifar, F. (2024). Unveiling the power of implicit six-point block scheme: Advancing numerical approximation of two-dimensional PDEs in physical systems. PLOS ONE, 19(5), 1–26.

Adeyefa, E. O., James, A. A., Olagunju, A. S., & Joseph, F. L. (2024). Development of a block method for solving multiple order ODEs. International Journal of Mathematics in Operational Research, 29(1), 51–65.

Omole, E. O., Adeyefa, E. O., Ayodele, V. I., Shokri, A., & Wang, Y. (2023). Ninth-order multistep collocation formulas for solving models of PDEs arising in fluid dynamics: Design and implementation strategies. Axioms, 12(9), 891.

Adeyefa, E. O., Omole, E. O., & Shokri, A. (2023). Numerical solution of second-order nonlinear partial differential equations originating from physical phenomena using Hermite-based block methods. Results in Physics, 46, 106270.

Dr. Chadha Henchiri | Conference | Editorial Board Member

Dr. Chadha Henchiri | Conference | Editorial Board Member

University of Sfax | Tunisia

Dr. Chadha Henchiri is a materials science researcher with strong expertise in magnetism, dielectrics, and MATLAB-based modulation of magnetic properties. He has hands-on experience in synthesizing nanopowders using high-energy ball milling, solid-state, sol-gel, and hydrothermal methods, and has designed high-temperature impedance spectroscopy holders for both bulk and film samples. His technical skills include handling VSM, XRD, XPS, SEM/TEM, TGA-DSC, pellet pressing, and quartz-tube vacuum sealing. He is proficient in structural and magnetic characterization, Rietveld refinement, impedance spectroscopy, and XPS analysis using professional software packages such as FULLPROF, MAUD, Origin, ZView, and CASA XPS. He has participated in multiple scientific events, received specialized training in research communication and scientific publishing, and supervised several postgraduate research projects in magnetism, perovskites, and spinel ferrites. Alongside his research activities, he also contributes as a teaching professional in physics and materials science.

Profile: Scopus 

Featured Publication

Ying Xia, Xin Yang, Lei Chang, Hua Zhou, Tao He, Chadha Henchiri,Fatma Argoubi, Ahmed Ben-Ismaïl, Hai-Shan Zhou, Guang-Nan Luo. (2025). Characteristics and mechanism of heat deposition in a helicon plasma source with a cusp magnetic field configuration using permanent magnets. Physics of Plasmas

Assoc Prof Dr. Muhammad Khuram Shahzad | Thin Films | Editorial Board Member

Assist Prof Dr. Muhammad Khuram Shahzad | Thin Films | Editorial Board Member

Khwaja Fareed University of Engineering and Information Technology | Pakistan

Dr. Muhammad Khuram Shahzad is an Assistant Professor at the Institute of Physics, KFUEIT, Pakistan, with extensive research experience in up-conversion nanomaterials for biological applications, hyperthermia, cancer treatment, sensors, thin films, nanotechnology, DFT, optogenetics, and high-energy physics. He has produced a strong research portfolio with numerous international publications, serves as a reviewer for several reputable journals, and has completed significant scientific projects supported by national and international funding bodies. His profile includes multiple awards and recognitions for outstanding research performance, along with active membership in global scientific societies such as SPIE, OSA, IEEE, and the Society for Applied Spectroscopy. He has participated in and presented at various international scientific schools, workshops, and conferences, and has contributed to simulation-based studies related to biological applications, penetration depth analysis, and signal optimization.

Profile: Scopus   

Featured Publications

Muhammad Khuram Shahzad a , Shoukat Hussain a , Abhinav Kumar b c , Arvind Yadav d , M.M. Rekha e , Vivek Kumar Pandey f , Vijayalaxmi Mishra g , Suman Saini h , Vineet Tirth i j , Mohamed Hussien k. (2025). Computational study of physical properties of perovskite Rb3Sb2H9 hydride material for hydrogen storage applications. Journal of Energy Storage

Waqar Azeem a , Shoukat Hussain b , Abhinav Kumar c d e , Dhouha Choukaier f , Jayanti Makasana g , M.M. Rekha h , G. Senthil Kumar i, Sankar Narayan Das j , Parveen Kumar k , Ankit D. Oza l, Muhammad Khuram Shahzad b. (2025).A novel computational chemistry approach of narrow bandgap perovskite Cs3Sb2H9 material for sustainable energy harvesting devices. Materials Chemistry and Physics

Assoc Prof Dr. Sobia Sadiq | General Relativity and Astrophysics | Editorial Board Member

Assoc Prof Dr. Sobia Sadiq | General Relativity and Astrophysics | Editorial Board Member

University of Education |  Pakistan

Dr. Sobia Sadiq has earned multiple academic distinctions, including top positions and prestigious merit scholarships, and has been awarded an HEC Indigenous Ph.D. Fellowship. She has contributed to academic administration by organizing national and international conferences on gravitation and cosmology. Her teaching career includes serving as a Visiting Assistant Professor and currently working as an Assistant Professor (TTS) in the Department of Mathematics, University of Education. She has completed advanced professional development programs and her research interests span cosmology, electromagnetic field theory, relativity, relativistic astrophysics, and mathematical techniques. She is proficient in MS Office, Mathematica, Maple, and LaTeX. Dr. Sadiq has delivered several invited talks at reputed national and international platforms and has actively participated in numerous workshops, seminars, and conferences related to mathematics, cosmology, and astrophysics.

Profile: Scopus | Google Scholar  

Featured Publications

Sadiq, S., & Abbas, E. (2025). Impact of curvature-matter coupling on charged spherical polytropes. International Journal of Geometric Methods in Modern Physics.

Javed, F., Waseem, A., Sadiq, S., & Mustafa, G. (2025). A comprehensive analysis of stable configurations of nonrotating BTZ-ModMax thin-shell wormholes. European Physical Journal C.

Ditta, A., Sadiq, S., Rasheed, A. S., Errehymy, A., Maurya, S. K., & Mustafa, G. (2025). Novel insights into wormhole solutions in extended teleparallel gravity inspired by non-commutative geometry. International Journal of Geometric Methods in Modern Physics.

Sadiq, S., Atif, A., Javed, F., & Saleem, R. (2024). Investigating novel wormhole models in extended teleparallel gravity through thin-shell composed with dark energies. Chinese Journal of Physics.

Saleem, R., Aslam, M. I., Sadiq, S., & Murtaza, M. T. (2024). Stability of charged anisotropic thin shell gravastars admitting conformal motion in f(R, T) gravity. Annals of Physics, 465, 169659.

Dr. Mohammad Monir Uddin | Applied Mathematics | Editorial Board Member

Dr. Mohammad Monir Uddin | Applied Mathematics | Editorial Board Member

North South University | Bangladesh

Dr. Mohammad Monir Uddin is a researcher in computational mathematics specializing in model order reduction, control theory, numerical linear algebra, and scientific computing, with additional focus on artificial intelligence and deep learning. His work spans the development of efficient algorithms for large-scale sparse descriptor systems, dynamical systems, and optimal control problems. He has contributed to multiple international research groups in Germany and Sweden and has led a range of funded projects in areas such as aircraft wing shape optimization, structure-preserving model reduction, piezo-mechanical systems, and large-scale dynamical system approximation. His research experience includes developing advanced iterative methods, projection techniques, and structure-preserving computational frameworks, while his supervisory work covers model reduction of complex dynamical, biological, and engineering systems. He has delivered numerous talks and poster presentations at international conferences, sharing contributions that advance reduced-order modeling, Krylov subspace methods, and computational techniques for constrained dynamical models, while also teaching and guiding research in applied mathematics and electroweak interaction topics.

Profile: Scopus | Orcid | Google Scholar  

Featured Publications

Hossen, N. S., Shahen, M., Al Amin, M., Uddin, M. M., Foyjonnesa, & Rahman, M. M. (2025). Wave modelling of 3+1 dimensional Wazwaz–Kaur–Boussinesq equation with the bilinear neural network method. Scientific Reports, 15(1), 33528.

Hossain, M. S., Khan, E. H., Uddin, M. M., & Omar, S. G. (2025). Structure-preserving model reduction approach for structured index-2 descriptor systems. Numerical Linear Algebra with Applications.

Uddin, M., Uddin, M. M., & Khan, M. A. H. (2025). SVD-Krylov–based structure-preserving techniques for approximation of a class of second-order index-1 descriptor systems. Journal of Applied Mathematics, 2025(1), 5976163.

Saiduzzaman, M., Islam, M. S., Hossain, M. S., Uddin, M. M., & Gani, M. O. (2024). Balanced truncation model reduction for laser heating wafer model in frequency restricted domain. Franklin Open, 9, 100191.

Hossain, M. T., Iqbal, K. I. B., Haque, A., Uddin, M. M., & Hossain, M. S. (2024). Efficient aerodynamic design using BézierGAN and model order reduction: A computational study. Results in Engineering, 23, 102571.