Victor Belyaev| Renewable Energy | Best Researcher Award

Mr. Victor Belyaev| Renewable Energy | Best Researcher Award

Mining Univercity | Russia

Victor Belyaev is an accomplished academic and researcher whose career reflects a lifetime of dedication to mathematics, mechanics, and theoretical cybernetics, he received his education at Saint Petersburg State University where he specialized in the Faculty of Mathematics and Mechanics within the Department of Theoretical Cybernetics, his deep theoretical foundation led him to a long and distinguished professional journey at Saint Petersburg Mining University where he served as Associate Professor in the Department of Computer Science and Computer Technology and later advanced to the role of Associate Professor in the Department of Digital Modeling, throughout his career he contributed to the academic development of generations of students by integrating mathematical rigor with practical computing knowledge, his work has consistently bridged theoretical principles with applied digital solutions, enabling the growth of computational approaches in engineering, modeling, and cybernetic systems, his teaching philosophy has been grounded in clarity, precision, and adaptability, qualities that have made him a respected mentor within the university community, his research interests align with digital modeling, systems design, computational frameworks, and the practical applications of theoretical computer science, drawing from his solid background in mathematics and mechanics he has guided students and colleagues in exploring the intersections between computational logic, mathematical optimization, and real-world problem solving, his expertise spans advanced computer technologies, cybernetic structures, algorithmic methods, and digital simulations that form the backbone of modern computing education, beyond his teaching and research he has also contributed to academic administration and curriculum development, ensuring that programs remain relevant to evolving technological landscapes, his long tenure at the university highlights not only professional excellence but also a remarkable ability to adapt to the transformations in computing from traditional systems to modern digital infrastructures, his legacy is characterized by intellectual commitment, academic mentorship, and impactful research contributions, positioning him as a highly respected figure in the academic landscape of computer science, digital modeling, and theoretical cybernetics.

Profile: Orcid

Featured Publications:

Nevskaya, M., Belyaev, V., Aleshichev, S., Vinogradova, V., & Shagidulina, D. (2025). Data systematization and preliminary analysis of accidental oil and petroleum product spills in the Russian Arctic and Far North. Resources, 14(9), 147.

Nevskaya, M. A., Belyaev, V. V., Pasternak, S. N., Vinogradova, V. V., & Shagidulina, D. I. (2024). Accidental oil spills in the Arctic: An assessment of potential soil damage. Север и рынок: формирование экономического порядка, 3(85), 101–112.

Romanchikov, A. Y., Baltyzhakova, T. I., & Belyaev, V. V. (2024). Evaluation of public land transport accessibility in St. Petersburg, Russia, using a geospatial approach. Geodesy and Cartography, 100(3), 43–51.

Nevskaya, M. A., Raikhlin, S. M., Vinogradova, V. V., Belyaev, V. V., & Khaikin, M. M. (2023). A study of factors affecting national energy efficiency. Energies, 16(13), 5170.

Kozhubaev, Y., Belyaev, V., Murashov, Y., & Prokofev, O. (2023). Controlling of unmanned underwater vehicles using the dynamic planning of symmetric trajectory based on machine learning for marine resources exploration. Symmetry, 15(9), 1783.

Kozhubaev, Y., Belyaev, V., Korobitcyna, M., Zhiligotov, R., & Yiming, Y. (2023). Design of smart input devices. E3S Web of Conferences, 389, 05041.

Musta, L. G., Zhurov, G. N., & Belyaev, V. V. (2019). Modeling of a solar radiation flow on an inclined arbitrarily oriented surface. Journal of Physics: Conference Series, 1333(3), 032054.

Kovyazin, V., Belyaev, V., Pasko, O., & Romanchikov, A. (2014). Taxation indices of forest stand as the basis for cadastral valuation of forestlands. IOP Conference Series: Earth and Environmental Science, 21(1), 012026.

Romanchikov, A., Kovyazin, V., & Belyaev, V. (2014). Use of forest inventory data as a new method for cadastral valuation of forestlands in North-West Russia. Forestry Studies, 61(1), 39–47.

Haoting Li | Geoenergy | Best Researcher Award

Dr. Haoting Li | Geoenergy | Best Researcher Award

Dr,Shenyang University of Chemical Technology, China

Dr. Haoting Li is a Lecturer at Shenyang University of Chemical Technology, specializing in petroleum engineering, multiphase flow, and porous media research. He earned his Doctor of Engineering from Northeast Petroleum University in 2022 and was a visiting student researcher at the Korea Advanced Institute of Science and Technology. His research focuses on particle-fluid interactions, solid-liquid behavior, and advanced heat transfer mechanisms. Dr. Li has published extensively in top-tier journals, contributing to the fields of energy engineering, fluid mechanics, and sustainable technologies. He has led multiple research projects funded by Liaoning Province and has received prestigious awards, including the Outstanding Paper Award for Young Scholars and the China Petroleum Science Top Ten Paper Award. With a strong background in computational fluid dynamics and experimental analysis, he continues to make significant advancements in petroleum engineering and environmental technologies.

Profile

scopus

Education 🎓

Doctor of Engineering (2019-2022) – Northeast Petroleum University, specializing in Oil and Gas Engineering. Visiting Student Researcher (2021-2022) – Korea Advanced Institute of Science and Technology, focusing on Civil and Environmental Engineering. Master of Engineering (2016-2019) – Northeast Petroleum University, majoring in Oil and Gas Storage and Transportation. Bachelor of Engineering (2012-2016) – Northeast Petroleum University, with a specialization in Oil and Gas Storage and Transportation. Dr. Li’s academic journey reflects a strong foundation in petroleum and energy engineering. His doctoral research emphasized particle multiphase flow in porous media, while his international exposure at KAIST broadened his expertise in advanced fluid mechanics and environmental engineering applications. His research contributions integrate theoretical analysis and computational simulations for enhancing energy efficiency in petroleum processes.

Professional Experience 💼

Lecturer (2023 – Present) – Shenyang University of Chemical Technology, School of Mechanical and Power Engineering. Conducts research on particle multiphase flow, heat transfer, and porous media applications. Guides students in advanced computational simulations using CFD-DEM methodologies. Research Engineer (2021-2022) – Korea Advanced Institute of Science and Technology. Investigated solid-liquid interactions in environmental and petroleum applications. Developed novel simulation models for multiphase fluid flow and energy efficiency. Researcher (2019-2022) – Northeast Petroleum University. Focused on complex fluid flow behavior in petroleum reservoirs. Published high-impact papers in fluid mechanics and energy engineering.

Awards and Honors 🏅

Outstanding Paper Award of Young Scholar Chen Xuejun (2021) 🏆 – Recognized by the Multiphase Flow Special Committee of the Chinese Society of Engineering Thermophysics for exceptional research in multiphase flow modeling. China Petroleum Science Top Ten Paper Award (2020) 🏅 – Awarded by the China Petroleum and Chemical Industry Federation for significant contributions to petroleum science. Liaoning Province Research Grants (2023 & 2025) 💰 – Principal investigator for funded projects on particle multiphase flow and green energy applications. Best Research Presentation Award 🎤 – Recognized at international conferences for pioneering research in porous media and petroleum engineering.

Research Focus 🔬

Particle Multiphase Flow in Petroleum Engineering – Investigating the migration and interaction of solid particles in porous reservoirs. Solid-Liquid Interaction – Developing CFD-DEM models to analyze fluid-driven particle movement. Complex Fluid Flow & Heat Transfer – Studying fluid dynamics and heat exchange in porous media for energy efficiency. New Energy and Environmental Technologies – Exploring green extraction methods and renewable energy applications in petroleum engineering.

Publications

Simulation on detachment and migration behaviors of mineral particles induced by fluid flow in porous media based on CFD-DEM – Geoenergy Science and Engineering, 2025

Mechanism analysis and energy-saving strengthening process of separating alcohol-containing azeotrope by green mixed solvent extraction distillation – Journal of Molecular Liquids, 2025

Prediction of hydrodynamics in a liquid–solid fluidized bed using the densimetric Froude number-based drag model – Chemical Engineering Science, 2025

CFD-DEM simulation of aggregation and growth behaviors of fluid-flow-driven migrating particles in porous media – Geoenergy Science and Engineering, 2023

Flow behaviors of ellipsoidal suspended particles in porous reservoir rocks using CFD-DEM combined with multi-element particle model – Granular Matter, 2022

Simulation on flow behavior of particles and its effect on heat transfer in porous media – Journal of Petroleum Science and Engineering, 2021

Conclusion

Haoting Li is an exceptional candidate for the Best Researcher Award, given his strong academic credentials, high-impact research, and recognition in petroleum engineering and multiphase flow studies. His work advances critical energy solutions, and with continued expansion into leadership roles, industrial collaboration, and renewable energy research, he can establish himself as a global thought leader.