Assoc. Prof. Dr. Xuemin Yao | Nonlinear Dynamic Interactions | Research Excellence Award

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Assoc. Prof. Dr. Xuemin Yao | Nonlinear Dynamic Interactions | Research Excellence Award

Hebei Geo University | China

Assoc. Prof. Dr. Xuemin Yao is a researcher at the College of Information Engineering, Hebei GEO University, Shijiazhuang, China. Their work focuses on nonlinear dynamics, nonlinear partial differential equations, fluid mechanics, nonlinear molecular waves, and physical information neural networks. They have developed a strong research profile in the study of nonlinear wave mechanisms, state-transition behaviors, and controllable wave structures in fluid and plasma environments. Dr. Yao has published extensively in high-impact international journals, contributing significant findings on transformed nonlinear waves, breather molecules, and complex dynamic interactions in multi-dimensional nonlinear evolution equations. Their work advances theoretical understanding and practical modeling approaches in nonlinear science and fluid dynamics.

Yao, X., Wen, J., Li, Y., & Zhao, J. (2025). Mechanism investigations on certain unbounded/bounded breather molecules and transformed molecular waves for an extended (3+1)-dimensional Jimbo–Miwa equation in fluid mechanics. Wave Motion.

Yao, X., Zhao, J., & Liang, R. (2025). State-transition mechanisms for (2+1)-dimensional Sawada–Kotera equation with variable coefficients in plasma physics and fluid dynamics. Chaos, Solitons & Fractals.

Yao, X., & Wang, L. (2025). The dynamics of nonlinear molecular waves in a (3+1)-dimensional nonlinear evolution equation in fluid mediums. Nonlinear Dynamics.

Yao, X., Ma, J., & Meng, G. (2025). The state transition mechanism of nonlinear waves with external force control in the fluid or plasma. Applied Mathematics Letters.

Yao, X., Ma, J., & Meng, G. (2024). The phase transition of control parameters for the (3+1)-dimensional Konopelchenko–Dubrovsky–Kaup–Kupershmidt equation in plasma or ocean dynamics. Nonlinear Dynamics.

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

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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.

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

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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.

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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.

Dr. Adarsh Kumar Shukla | Computational Methods | Young Scientist Award

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Dr. Adarsh Kumar Shukla | Computational Methods | Young Scientist Award

Dr. Bhimrao Ambedkar Government Medical College | India

Dr. Adarsh Kumar Shukla is a motivated and results-driven professional with expertise in Environmental Toxicology, Clinical Bioinformatics, NGS Data Analysis, Pathway Analysis, Computer-Aided Drug Design, Structural Biology, Metabolomics, Computational Biology, and Computational Chemistry. Currently serving as Scientist-B at the Multidisciplinary Research Unit, Dr. Bhimrao Ramji Ambedkar Government Medical College, Kannauj, he has prior experience as a Scientist and Research Associate in Paediatric Cardiac Research at Sri Sathya Sai Sanjeevani Research Foundation, as well as academic and project coordination roles in biotechnology and medicinal plant research. He has coordinated national-level academic events and completed FDPs focused on healthcare innovation. Dr. Shukla has contributed significantly to Health-, Plant-, and Food-Informatics research, presented papers at several conferences, and holds a granted Indian patent for the development of crab-apple-based jelly sheets. His research interests encompass structural bioinformatics, human genomics, and nutritional biotechnology, with strong proficiency in in-silico tools, laboratory instrumentation, and data analysis. Skilled in programming languages such as R, Biopython, and Bioperl, he combines computational and experimental approaches to address complex biomedical challenges.sics.

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Featured Publications

Shukla, A. K., & Kukshal, P. (2025). Computational simulations aided prioritization of genomic targets for congenital heart disease (CHD) against developmental toxicity. Reproductive Toxicology, 108, 108940.

Shukla, A. K., & Kumar, A. (2025). A chemoinformatics study to prioritization of anticancer orally active lead compounds of pearl millet against adhesion G protein-coupled receptor. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 334, 125960.

Jha, R. K., Shukla, A. K., Kumari, A., & Kumar, A. (2025). Virtual screening of potential orally active anti-bacterial compounds of finger millet. Vegetos, 38(3), 1237–1248.

Jain, S., Shukla, A. K., Deepika, Panwar, S., Kumari, A., Yadav, A. K., & Kumar, A. (2024). Revolutionizing disease treatment through bioengineered probiotics and glucagon‐like peptide 1 (GLP‐1) based strategies: A path towards effective cures. Food Bioengineering, 2024, 1.

Panwar, S., Pal, S., Shukla, A. K., Kumar, A., & Sharma, P. K. (2024). Identification of micronutrient deficiency related miRNA and their targets in Triticum aestivum using bioinformatics approach. Ecological Genetics and Genomics, 31, 100236.

Prof. Xiangchao Shi | Computational Methods | Best Researcher Award

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Prof. Xiangchao Shi | Computational Methods | Best Researcher Award

Southwest Petroleum University  | China

Professor Shi Xiangchao, Assistant Dean at the School of Petroleum and Natural Gas Engineering, Southwest Petroleum University, specializes in drilling acceleration, intelligent drilling systems, and rock mechanics. His pioneering work integrates finite element analysis and rock mechanics to enhance the coupling performance of PDC bits and positive displacement motors (PDMs), improving drilling efficiency and stability in complex formations. He has contributed significantly to deep and ultra-deep shale gas drilling technologies through collaborations with CNPC, Sinopec, and international universities. His research establishes strong theoretical and computational foundations for intelligent, efficient, and safe petroleum drilling operations.

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Featured Publications

Liu, J., Xue, F., Dai, J., Yang, J., Wang, L., Shi, X., Dai, S., Hu, J., & Liu, C. (2025). Waveform features and automatic discrimination of deep and shallow microearthquakes in the Changning shale gas field, Southern Sichuan Basin, China. Journal of Applied Geophysics, 105850.

Dai, J., Liu, J., Yang, J., Xue, F., Wang, L., Shi, X., Dai, S., Hu, J., & Liu, C. (2025). Seismicity associated with hydraulic fracturing in Changning shale gas field, China: Constraints from source mechanisms, stress field and fluid overpressure thresholds. Journal of Rock Mechanics and Geotechnical Engineering.

Wang, Z., Shi, X., Jiao, Y., Chen, S., Wang, R., & Lv, Z. (2025). Integrated selection and design method for PDC bits and positive displacement motor. Petroleum.

Fan, C., Nie, S., Li, H., Pan, Q., Shi, X., Qin, S., Zhang, M., & Yang, Z. (2024). Geological characteristics and major factors controlling the high yield of tight oil in the Da’anzhai member of the western Gongshanmiao in the central Sichuan basin, China. Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 10(1), 67.

Wang, Z., Shi, X., Chen, S., Jiao, Y., Wang, R., & Lv, Z. (2024). Enhancement on PDC bit based on Archimedean spiral control method. Petroleum Science Bulletin.

Prof. Dr. Petko Petkov | Matrix Analysis | Best Researcher Award

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Prof. Dr. Petko Petkov | Matrix Analysis | Best Researcher Award

Bulgarian Academy of Sciences | Bulgaria

Dr. Petko Petkov is a distinguished Professor of Control Theory at the Department of Systems and Control, Technical University of Sofia, where he has served since 1995. He earned his M.S. and Ph.D. degrees in Control Engineering from the same university in 1971 and 1979, respectively. With an impressive academic career, he has coauthored over 160 scientific papers and several influential books, including Computational Methods for Linear Control Systems (1991), Perturbation Theory for Matrix Equations (2003), Robust Control Design with MATLAB (2005, 2013), Design of Embedded Robust Control Systems using MATLAB®/Simulink® (2018), Perturbation Methods in Matrix Analysis and Control (2020), and The Numerical Jordan Form (2024). A full member of the Bulgarian Academy of Sciences and a member of the AMS, Dr. Petkov’s research focuses on matrix computations, control theory and engineering, robust and robot control, UAV control, and numerical methods and software for control systems design, particularly emphasizing computational methods and matrix analysis.

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Featured Publications

PH Petkov (2025). Probabilistic perturbation bounds of matrix decompositions. Numerical Linear Algebra with Applications 32 (1), e2582

V Angelova, M Konstantinov, P Petkov (2024). Asymptotic and Probabilistic Perturbation Analysis of Controllable Subspaces. Computation

V Angelova, P Petkov (2024). Componentwise perturbation analysis of the Singular Value Decomposition of a matrix. Applied Sciences 14 (4), 1417

PH Petkov (2022). Componentwise perturbation analysis of the QR decomposition of a matrix. Mathematics 10 (24), 4687

PH Petkov, MM Konstantinov (2022). The numerical Jordan form. Linear Algebra and its Applications 638, 1-45

Thierry goudon | Theoretical Advances | Best Researcher Award

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Dr. Thierry goudon | Theoretical Advances | Best Researcher Award

univ. cote d’azur | France

Dr. Thierry Goudon is a renowned Senior Research Scientist at INRIA and a professor with a rich academic background in applied mathematics. Throughout his career, Goudon has contributed significantly to numerical analysis, kinetic theory, and fluid dynamics, working at leading French universities and research institutions.

👨‍🎓Profile

Google scholar

Scopus

🎓 Early Academic Pursuits

Dr. Goudon pursued a Magistère MATMECA in applied mathematics and mechanics at the University of Bordeaux 1 in the early 1990s, where he excelled by graduating ranked 1st. He went on to complete a PhD in applied mathematics in 1997, under the guidance of K. Hamdache. His early studies laid a strong foundation for his later groundbreaking work in modeling and scientific computing.

🧑‍💻 Professional Endeavors

Since 2007, Dr. Goudon has been a Senior Research Scientist at INRIA, specializing in complex systems like energy and environmental flows. He has headed multiple project teams, including COFFEE (COmplex Flows For Energy and Environment) and SIMPAF (SImulation and Models for Particles and Fluids), and served as a fellow at prestigious institutions like Ecole Centrale Marseille and ENS Paris. Goudon’s professional journey has been marked by his leadership roles in research, particularly in fluid dynamics, particle systems, and mathematical modeling.

🧑‍🔬 Contributions and Research Focus

Dr. Goudon’s research primarily focuses on kinetic and fluid dynamics, radiative transfer, and particle-fluid interactions. His pioneering work includes hydrodynamic limits for the Vlasov-Navier-Stokes equations, the development of kinetic schemes for Euler models, and biogeography models in microbiota research. His research has advanced mathematical modeling techniques for real-world problems in energy, environment, and cancer treatment.

🌍 Impact and Influence

Dr. Goudon’s influence extends beyond academia, with significant roles in various scientific committees and advisory boards. He contributed to the national AI report, chaired the scientific board at LJAD/Math. Dept. Univ. Côte d’Azur, and played key roles in evaluating research units across Europe, particularly in Portugal. His work has had a broad impact on the international scientific community, shaping research directions and funding policies.

📚 Academic Cites

Dr. Goudon has authored over 130 publications in prestigious journals, covering topics like reaction-diffusion equations, shock profiles, and radiative hydrodynamics. His work, including co-authored papers such as Hydrodynamic limits for Vlasov-Navier-Stokes equations and Analysis of large amplitude shock profiles, is frequently cited by researchers in the fields of numerical analysis, kinetic theory, and computational physics.

🛠️ Research Skills

Dr. Goudon has a profound expertise in numerical methods, particularly in kinetic schemes, fluid dynamics, and partial differential equations. He is skilled in the development of high-performance algorithms for complex simulations involving particles, fluids, and radiative transfer. His technical proficiency has also extended to the development of mathematical models for various applications, from cancer treatment to plasma physics.

🧑‍🏫 Teaching Experience

Goudon has a long history of teaching and mentoring students in applied mathematics. He has supervised doctoral students, led PhD programs in applied mathematics, and been a member of numerous academic juries and committees. His pedagogical focus has been on numerical analysis, scientific computing, and mathematical modeling.

🏅 Awards and Honors

Throughout his distinguished career, Goudon has received several accolades, including the R. Dautray Prize (SMAI–CEA) in 2008 for his work on radiative transfer. He has also been honored for his contributions to scientific computing, mathematics, and research leadership. His recognition within both French and international scientific communities underscores his exceptional impact on the field.

🏛️ Legacy and Future Contributions

Goudon’s legacy is marked by his groundbreaking research in mathematical modeling and numerical methods, which continues to influence scientific computing and applied mathematics. As a leader, his future contributions are poised to advance interdisciplinary research, with applications spanning energy, environment, and medicine. His ongoing projects promise to push the boundaries of simulation techniques and complex systems modeling.

  Publications Top Notes

Shock profiles for hydrodynamic models for fluid-particles flows in the flowing regime

  • Authors: Goudon, T., Lafitte, P., Mascia, C.
    Journal: Physica D: Nonlinear Phenomena
    Year: 2024

An explicit well-balanced scheme on staggered grids for barotropic Euler equations

  • Authors: Goudon, T., Minjeaud, S.
    Journal: ESAIM: Mathematical Modelling and Numerical Analysis
    Year: 2024

A Simple Testbed for Stability Analysis of Quantum Dissipative Systems

  • Authors: Goudon, T., Rota Nodari, S.
    Journal: Annales Henri Poincare
    Year: 2024

Shock Profiles for Fluid-Particles Flows

  • Authors: Goudon, T., Lafitte, P., Mascia, C.
    Journal: SEMA SIMAI Springer Series
    Year: 2024

A Model of Particles Interacting with Thermal Traps

  • Authors: Goudon, T.
    Journal: Journal of Statistical Physics
    Year: 2023