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.

Prof. Wang Yibo | Theoretical Advances | Research Excellence Award

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Prof. Wang Yibo | Theoretical Advances | Research Excellence Award

Northeast Electric Power University | China

Prof. Wang Yibo is a dedicated researcher and academic in the field of electrical engineering, currently serving as a full-time faculty member at the School of Electrical Engineering, Northeast Electric Power University. He has led and contributed to numerous national, provincial, and industry-funded research projects, including major programs under the National Natural Science Foundation and the National Key R&D initiative. His work has gained strong academic visibility, with significant citations in SCI and Scopus databases. He has also taken part in extensive consultancy and horizontal research collaborations while serving as a peer reviewer for leading international and domestic journals. His research focuses on power system optimization, power electronic equipment, flexible distribution network control, and power market studies. As an active member of IEEE, CIGRE, CES, CEES, and CPSS, he maintains strong professional engagement. His contributions include innovative technical developments, impactful project leadership, high-quality publications, patents, and meaningful advancements that support the progress of modern power systems.

Wang, Y., Liu, K., Liu, C., Liu, Y., Fan, J., & Liu, C. (2025). Probabilistic power flow calculation in active distribution networks based on hybrid distribution transformers. Electric Power Systems Research.

Zhou, J., Cai, G., Wang, Y., & Liu, C. (2025). Dual-timescale scheduling approach for power systems with energy-intensive loads: Wind power accommodation through forecast deviation decomposition and flexible resource coordination. Energy.

Wang, Y., Wang, Y., Liu, C., Du, Z., Liu, C., Cai, G., Liu, Y., & Liu, K. (2025). Source-side compensated hybrid distribution transformer based on direct AC/AC converter. Electric Power Systems Research.

Wang, Y., Liu, C., Zhang, X., Liu, K., Liu, C., & Cai, G. (2025). Model construction and power flow regulation analysis of direct AC/AC auto-coupling three-winding hybrid distribution transformer. IEEE Sensors Journal.

Guo, D., Wang, A., Liu, C., Zhang, P., Yan, G., Pei, Z., Cai, G., Wang, R., & Wang, Y. (2024). Novel bidirectional high-frequency isolated direct AC/AC converter with unipolar phase-shifted modulation strategy. IEEE Transactions on Power Electronics.

Dr. Huiting Cheng | Simulation and Modeling Calculations | Young Scientist Award

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Dr. Huiting Cheng | Simulation and Modeling Calculations | Young Scientist Award

Jinzhong University | China

Dr. Huiting Cheng specializes in agricultural engineering with strong expertise in bionic technology, straw utilization techniques, biological mechanical pulping processes, and biodegradable material development. Her work spans bionic equipment design and optimization, numerical simulation, engineering material forming processes, intelligent agricultural machinery, and multidisciplinary research. She has held key leadership roles in academic and research teams, guiding communication, coordinating project reporting, and supporting innovation initiatives. Dr. Cheng has contributed to university-level and provincial technology projects, assisted enterprise research, mentored students, and actively participated in academic exchanges. In industry–university collaboration, she has led technical teams in agricultural machinery R&D, carrying out mechanical design and experimental validation, contributing to patent development, promoting technology transformation, and supporting enterprise innovation and development efforts.

Cheng, H., Huang, W., Zeng, S., Li, G., Gong, Y., & Ren, D. (2025). Optimization of the thermoforming process for straw-based biodegradable materials through biological mechanical processing and simulation. Materials Today Communications.

Cheng, H., Gong, Y., Zhao, N., Zhang, L., Lv, D., & Ren, D. (2022). Simulation and experimental validation on the effect of twin-screw pulping technology upon straw pulping performance based on Tavares mathematical model. Processes.

Dr. Patrick Shriwise | Computer Aided Design | Best Researcher Award

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Dr. Patrick Shriwise | Computer Aided Design | Best Researcher Award

Argonne National Laboratory | United States

Dr. Patrick Shriwise is a computational scientist specializing in nuclear systems analysis, Monte Carlo particle transport, scientific computing, and software engineering. His work spans advanced simulations for fission and fusion systems, development of OpenMC capabilities, and research in computational geometry and CAD-based radiation transport. He has contributed to high-performance computing, multiphysics applications, visualization, and ray-tracing technologies across national laboratory and academic environments. He is an active member of multiple professional organizations, serves as a reviewer for scientific journals, and regularly contributes to teaching through guest lectures and Software Carpentry instruction. His technical expertise includes C/C++, Python, HPC frameworks, CAD/CAE modeling, cloud computing, and a wide range of nuclear engineering simulation tools.

Romano, P. K., Pasmann, S., Shriwise, P. C., & Swanson, C. P. S. (2025). Computing material volume fractions on a superimposed mesh as applied to Monte Carlo particle transport simulations. Fusion Engineering and Design, 220, 115364.

Romano, P. K., Myers, P. A., Johnson, S. R., Kols̆ek, A., & Shriwise, P. C. (2025). Point containment algorithms for constructive solid geometry with unbounded primitives. Computer-Aided Design, 178, 103803.

Romano, P., Tramm, J., & Shriwise, P. (2024). Language and design evolution of the OpenMC Monte Carlo particle transport code. EPJ Nuclear Sciences & Technologies, 10, 15.

Peterson, E. E., Romano, P. K., Shriwise, P. C., & Myers, P. A. (2024). Development and validation of fully open-source R2S shutdown dose rate capabilities in OpenMC. Nuclear Fusion, 64(5), 056011.

Novak, A. J., Shriwise, P., Romano, P. K., Rahaman, R., Merzari, E., & Gaston, D. (2023). Coupled Monte Carlo transport and conjugate heat transfer for wire-wrapped bundles within the MOOSE framework. Nuclear Science and Engineering, 197(10), 2561–2584.

Dr. Wei Dong | Experiential Optimization Subfield | Best Researcher Award

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Dr. Wei Dong | Experiential Optimization Subfield | Best Researcher Award

Northwest A&F University | China

Dr. Wei Dong is an Associate Professor and doctoral supervisor at Northwest A&F University, specializing in hydraulic machinery and hydrodynamics. He serves on multiple national committees related to turbines, pumps, and ocean energy equipment, and holds roles including senior visiting scholar at the National Key Laboratory of Hydropower Equipment and director of the Jiangsu Hydrodynamic Equipment Engineering Technology Research Center. He has led more than 20 national, provincial, and industry-funded research projects and has published over 60 research papers, including numerous SCI/EI-indexed works. His contributions also include patents, textbooks, and participation in the development of national standards. His research extends into machine learning applications in physics and experiential optimization.

Zhang, H., Dong, W., He, F., & Jiang, H. (2025). Multi-objective optimization on control strategies for variable-speed regulation in pump condition of pump-turbines. Sustainable Energy Technologies and Assessments.

Fan, X., Dong, W., Li, P., & He, F. (2025). Multiscale pressure fluctuation characteristics and vortex-enthalpy interaction in cavitating mixed-flow pump. Physics of Fluids.

Jiang, H., Dong, W., Li, S., & He, F. (2025). Optimization of centrifugal pump performance and excitation force based on machine learning and enhanced non-dominated sorting genetic algorithm III. Engineering Applications of Artificial Intelligence.

Li, Z., Dong, W., & Jiang, H. (2025). Multi-objective optimization of centrifugal pumps based on extreme learning machine with Adaptive Non-dominated Sorting Genetic Algorithms III. Physics of Fluids.

Dong, W., Jiang, H., Zhang, H., & Li, P. (2024). Analysis on axial force characteristics of variable valve and variable speed adjustment of centrifugal pump. Physics of Fluids.

Prof. Dr. Rodolfo Ariel Perez | Experimental Methods | Best Research Article Award

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Prof. Dr. Rodolfo Ariel Perez | Experimental Methods | Best Research Article Award

National Atomic Energy Commission | Argentina

Prof. Dr. Rodolfo Ariel Perez is a researcher at CNEA and an Independent Researcher within CONICET, as well as an Adjunct Professor at UNSAM. He works at the Centro Atómico Constituyentes in the Materials Division, specializing in diffusion processes and materials science. He holds degrees in Physics and has completed advanced postgraduate training in metallurgy, materials technology, thin film techniques, ceramics, and diffusion studies across several international institutions in Europe, Asia, and South America. He has supervised numerous undergraduate, master’s, and doctoral theses in the field of materials science, particularly diffusion phenomena in metals, alloys, and nuclear-related materials. His academic activity includes more than sixty conference presentations in major scientific events. He has also served as a jury member for theses, participated in academic committees, and contributed to scientific advisory boards. He is proficient in English, Portuguese, and French, and his experimental expertise includes techniques such as Laser Induced Breakdown Spectroscopy.

Featured Publications

Perez, R. A., & Gomez Sanchez, Y. P. (2025). How to address self-absorption in LIBS using millisecond time-width detectors. Spectrochimica Acta Part B: Atomic Spectroscopy.

Gaviola, P. A., Sallese, M., Suarez Anzorena, M., Ararat Ibarguen, C. E., Bertolo, A. A., Iribarren, M., Perez, R., Morel, E., Torga, J., Kreiner, A. J., & del Grosso, M. F. (2021). Development of a simple method based on LIBS for evaluation of neutron production targets made of hydrogen isotopes. Measurement: Journal of the International Measurement Confederation.

Ararat-Ibarguen, C. E., Lucia, A., Corvalan, C., Di Lalla, N., Iribarren, M. J., Rinaldi, C. A., & Pérez, R. (2020). Laser induced breakdown spectroscopy application to reaction-diffusion studies in nuclear materials. Spectrochimica Acta Part B: Atomic Spectroscopy.

Perez, R. A., Ararat-Ibarguen, C., & Iribarren, M. (2020). H diffusion in excel measured by LIBS. Journal of Nuclear Materials.

Dr. Bapun Barik | Materials for Energy | Best Researcher Award

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Dr. Bapun Barik | Materials for Energy | Best Researcher Award

Econain Co. Ltd | South Korea

Dr. Bapun Barik is a scientist and innovator specializing in advanced materials for environment and energy technologies. His expertise includes designing, synthesizing, and characterizing organic, inorganic, and polymeric composite materials for applications such as fuel cells, electrocatalysis, water purification, heterogeneous catalysis, heavy metal adsorption, photocatalysis, and sensor development. He has led projects on PEMFC electrolytes, regenerative fuel cell components, and membrane electrode assembly, contributing to patent filings and publications. He also collaborates on catalyst development, electrolyte optimization, and stack fabrication for hydrogen energy systems. Dr. Barik is skilled in advanced instrumentation, electrochemical analysis, and technical software tools, with strong leadership experience in managing research teams, confidential projects, proposal writing, and mentoring students.

Barik, B., Kasbe, A., Oh, S. J., & Moon, S. H. (2025). A two-way synergistic approach to boost proton transfer and chemical durability in polymer electrolyte membrane fuel cells. Chemical Engineering Journal, 520, 165796.

Lilly, K., Agrawal, A., Barik, B., Gugulothu, S. B., Rath, S. N., Oh, S. J., & Joshi, A. (2025). Toward next-generation therapies for intrauterine adhesions: A perspective on granular hydrogel systems. Journal of Materials Chemistry B.

Barik, B., & Rout, L. (2025). Graphene–metal oxide-based hybrid materials for fuel cell applications. In Graphene–Metal Oxide Composites: Synthesis, Properties, and Applications (Chapter 17).

Rout, V., Barik, B., Panda, D. K., Subudhi, S., Mohapatra, A., Sharma, R. K., & Dash, P. (2024). Grafting of CuCo alloy nanoparticles on g-C3N4 sheet: An efficient strategy for solar-driven photocatalytic degradation of ibuprofen and H₂ gas evolution by water splitting. Industrial & Engineering Chemistry Research, 63(18), 8054–8075.

Priyadarsini, P., Barik, D., & Barik, B. (2024). Plastic pollution and associated emerging contaminant across Indian subcontinent river catchments: A grave concern of anthropogenic epoch. In River Basin Ecohydrology in the Indian Sub-Continent (pp. 169–181).

Dr. Safaa Hriez | Spatio-Temporal Analysis | Research Excellence Award

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Dr. Safaa Hriez | Spatio-Temporal Analysis | Research Excellence Award

Al Hussein Technical University | Jordan

Dr. SAFAA HRIEZ is an experienced academic professional working as an Assistant Professor with expertise in Security, Secure Coding, Computing Research, Networking, Forensics, Data Structures, Algorithms, Object-Oriented Programming, Database Systems, Operating Systems, and Deep Learning. She has delivered both theoretical and practical courses across multiple universities and training programs, consistently achieving high student evaluations. Her teaching experience spans on-campus and online platforms including Zoom and Microsoft Teams, and she has contributed to various institutional committees such as ABET, Scientific Research and Conferences, Graduation Projects, Practical Training, and Library Committees. She is proficient in multiple programming languages including Python, C, C++, C#, Java, MATLAB, PHP, Android, HTML, CSS, JavaScript, Visual Basic, Oracle, and MySQL, with hands-on experience in Linux and Windows operating systems. Her data science profile includes working with TensorFlow, Scikit-learn, Pandas, Matplotlib, and Numpy, alongside practical knowledge of machine learning fundamentals, linear and logistic regression, clustering, ensemble methods, probabilistic models, neural networks, CNNs, and RNNs for real-world applications. She is also certified in AI and possesses strong digital security expertise with tools such as FTK, Autopsy, Wireshark, Metasploit, and Immunity Debugger, covering offensive and defensive security techniques, network forensics, database security, memory corruption, web application attacks, and automation of security tasks. Her technical strengths also extend to data analysis techniques, including spatio-temporal analysis.

Hriez, S., & Hmidan, M. (2025). Energy-saving potentials in high-temperature data centers: A spatio-temporal analysis. Results in Engineering, 108–138.

Hriez, S. (2025). Face swap detection: A systematic literature review. IEEE Access.

Hriez, S., & Hmidan, M. (2025). Temperature forecasting for high-temperature data centers: Enhancing energy efficiency through predictive modeling. In 2025 12th International Conference on Information Technology (ICIT).

Hriez, S., Almajali, S., Elgala, H., Ayyash, M., & Salameh, H. B. (2021). A novel trust-aware and energy-aware clustering method that uses stochastic fractal search in IoT-enabled wireless sensor networks. IEEE Systems Journal.

Al Gharaibeh, R. S., Ali, M. Z., Daoud, M. I., Alazrai, R., AbdelNabi, H., Hriez, S., & Suganthan, P. N. (2021). Real parameter constrained optimization using enhanced quality-based cultural algorithm with novel influence and selection schemes. Information Sciences.

Dr. Laura Xiomara Gutierrez Guerrero | Hadronic Physics | Women Researcher Award

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Dr. Laura Xiomara Gutierrez Guerrero | Hadronic Physics | Women Researcher Award

Mesoamerican Centre for Theoretical Physics | Mexico

Dr. Laura Xiomara Gutiérrez Guerrero is currently an Investigadora por México at the Mesoamerican Centre for Theoretical Physics (MCTP) in Tuxtla Gutiérrez, Chiapas. Her work has been distinguished through multiple recognitions at both the National System of Researchers in Mexico and the State System of Researchers in Chiapas, along with active participation in editorial committees, academic coordination programs, and scientific events. She has supervised numerous research theses in the areas of QCD, hadronic physics, and particle phenomenology, guiding students from multiple universities across Mexico and Central America. Her research collaborations include scientific visits to national and international institutes, and her academic leadership extends to organizing and coordinating physics education programs and scientific Olympiads. Additionally, she has been an active referee and evaluator for scientific journals, research programs, academic competitions, and national scientific project evaluations. Her core research areas focus on high-energy physics and hadronic physics.

García-Muñoz, J. D., Alfaro, A., Gutiérrez-Guerrero, L. X., & Raya, A. (2025). Dynamical mass generation in QED: Miransky scaling and Schrödinger-like infinite well and barrier potentials supporting a bound state. Few-Body Systems.

Ramírez-Garrido, M. A., Hernández-Pinto, R. J., Higuera-Angulo, I. M., & Gutiérrez-Guerrero, L. X. (2025). Screening masses for scalar and pseudoscalar mesons and their diquark partners: Insights from the contact interaction model. Physical Review D.

Paredes-Torres, G., Gutiérrez-Guerrero, L. X., Bashir, A., & Miramontes, Á. S. (2024). First radial excitations of mesons and diquarks in a contact interaction. Physical Review D.

Alfaro, J. A., Gutiérrez-Guerrero, L. X., Albino, L., & Raya, A. (2024). Perturbative analysis of the three gluon vertex in different gauges at one-loop. Few-Body Systems.

Hernández-Pinto, R. J., Gutiérrez-Guerrero, L. X., Bedolla, M. A., & Bashir, A. (2024). Electric, magnetic, and quadrupole form factors and charge radii of vector mesons: From light to heavy sectors in a contact interaction. Physical Review D.

Dr. Gehad Metwally | Sustainable Materials | Best Researcher Award

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Dr. Gehad Metwally | Sustainable Materials | Best Researcher Award

Obour Higher Institute for Engineering and Technology | Egypt

Dr. Gehad Ahmed Metwally is a civil engineering researcher focused on developing environmentally friendly and sustainable construction solutions that reduce carbon dioxide emissions. His work explores the use of bacteria in concrete to create self-healing bio-concrete, investigates the behavior and mechanical properties of fresh and hardened concrete using various materials, and examines the incorporation of natural and waste materials to minimize cement usage for lower CO₂ emissions. He also studies geopolymer concrete using fly ash, ground-granulated slag, and metakaolin combined with fibres such as steel and glass to achieve more resilient built environments. In his research role, he is responsible for data collection, reviewing recent literature, planning research, designing experimental mixtures, and performing tests to achieve optimal results, in addition to contributing to academic supervision. He has teaching experience in multiple civil engineering subjects and is skilled in SAP2000, ETABS, SAFE, AutoCAD, quantity surveying, and ICDL. His research contributions have been recognized with an appreciation certificate from the Dean of the Faculty of Engineering for publications in Q1 and Q2 scientific journals.

Metwally, G. A. M., Elemam, W. E., Mahdy, M., & Ghannam, M. (2025). Metakaolin-based ultra-high-performance geopolymer concrete: Role of basalt, glass, granite, and marble waste powders. Innovative Infrastructure Solutions, 10(11), 527.

Metwally, G. A. M., Elemam, W. E., Mahdy, M., & Ghannam, M. (2025). A comprehensive review of metakaolin-based ultra-high-performance geopolymer concrete enhanced with waste material additives. Journal of Building Engineering, 103, 112019.

Metwally, G. A. M., Mahdy, M., & Abd El-Raheem, A. E.-R. H. (2020). Performance of bio concrete by using Bacillus pasteurii bacteria. Civil Engineering Journal, 6(8), 1443–1456.