Volodymyr Hovorukha | Engineering | Best Researcher Award

Mr. Volodymyr Hovorukha | Engineering | Best Researcher Award

M.S. Poliakov Institute of Geotechnical Mechanics of the National Academy of Sciences of Ukraine | Ukraine

Mr. Volodymyr Hovorukha is a prominent Ukrainian scientist whose pioneering contributions have shaped the fields of railway engineering, transport mechanics, and structural dynamics. As a Senior Researcher at the M.S. Poliakov Institute of Geotechnical Mechanics of the National Academy of Sciences of Ukraine, he has made outstanding advancements in understanding the interaction between rail tracks and moving transport systems, the mechanics of deformation, and the reliability of rail infrastructure. His scientific achievements encompass the development of over ten mathematical models addressing dynamic rail–vehicle interaction, wear processes, and derailment safety, particularly under the influence of friction modifiers. He has authored more than 240 scientific papers, including publications indexed in international databases such as Scopus, and four monographs registered with ISBN. Mr. Volodymyr Hovorukha holds 32 patents, three of which have been officially recognized as international discoveries in railway transport. His innovative research has led to the creation of modernized track structures, high-speed rail fastening systems, and reinforced concrete components for both surface and underground transport systems. Under his scientific leadership, over 200 projects have been successfully developed and implemented, significantly contributing to the modernization of Ukraine’s rail infrastructure. His findings on the deformation mechanics of track elements and materials have become the foundation for optimizing the durability and safety of rail systems. An active member of ASME International and the International Academy of Scientific Discoveries and Inventions, Mr. Volodymyr Hovorukha’s research continues to influence railway engineering innovation and infrastructure development globally.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

  1. Hovorukha, V., Hovorukha, A., Sobko, T., & Semyditna, L. (2025). Reliability improvement of track infrastructure in open-pit rail transport. Geo-Technical Mechanics, (173), 38–48. https://doi.org/10.15407/geotm2025.173.038

  2. Hovorukha, V. V., & Hovorukha, A. V. (2023). Improvement of the service life of mining and industrial equipment by using friction modifiers. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (4), 74–82. https://doi.org/10.33271/nvngu/2023-4/074

  3. Hovorukha, V., Hovorukha, A., & Makarov, Y. (2022). Research on the dynamic processes of vehicles and an arbitrary configuration rail track, influencing the side wear of the rail head and wheel flange contact surfaces at different values of friction coefficient between them. IOP Conference Series: Earth and Environmental Science, 970(1), 012029. https://doi.org/10.1088/1755-1315/970/1/012029

  4. Hovorukha, V., Hovorukha, A., Sobko, T., & Semyditna, L. (2022). Method for studying spatial vibrations of a vehicle during its movement along the rail track on separate supports with elastic-dissipative and inertial properties. Geo-Technical Mechanics, (167), 52–60.

  5. Hovorukha, V., Hovorukha, A., Makarov, Y., Sobko, T., & Semyditna, L. (2023, November 14–16). Investigation of residual deformations in joint zones of track sections under curved track operation conditions. In Proceedings of the XXI International Conference of Young Scientists: Geotechnical Problems of Mineral Deposit Development (pp. 145–150). Dnipro, Ukraine.

Dehua Wu | Engineering | Best Researcher Award

Assoc. Prof. Dr. Dehua Wu | Engineering | Best Researcher Award

Fuzhou University | China

Dr. Dehua Wu is a highly respected Associate Professor in the Department of Transportation Engineering at the College of Civil Engineering, Fuzhou University. Known for his leadership in intelligent transportation systems research, he has made significant advancements in autonomous driving integration, connected vehicle applications, and traffic safety improvement. His career reflects a dedication to bridging advanced transportation technologies with practical engineering solutions that address real-world challenges. With a strong reputation in both academia and industry, he is frequently invited to contribute his expertise to research collaborations, governmental advisory boards, and infrastructure development projects.

Professional Profile

Scopus

Education

Dr. Wu’s academic achievements form a solid foundation for his expertise in transportation systems. He earned his Ph.D. in Transportation Planning & Management from Tongji University, where he developed analytical frameworks for improving traffic efficiency and safety. He also holds a master’s degree in Road & Railway Engineering and a bachelor’s degree in Highway & Urban Road Engineering from Chang’an University, where he built a deep understanding of road design principles, traffic modeling, and urban mobility planning. His educational background has equipped him with the skills to integrate engineering theory with cutting-edge technology in transportation innovation.

Experience

In his role as Associate Professor at Fuzhou University, Dr. Wu leads research teams, mentors postgraduate students, and designs advanced courses in transportation engineering. His international experience as a Visiting Scholar at the University of Alberta broadened his research scope, allowing him to incorporate global perspectives into local infrastructure solutions. Before entering academia, he served as a Senior Engineer at the Fujian Transport Planning Bureau, where he played a key role in formulating strategies for road safety auditing, transportation policy, and network optimization. His professional portfolio includes consulting work on large-scale safety risk assessments, expressway development, and urban traffic impact studies, demonstrating his ability to apply research to practical, high-stakes projects.

Research Interest

Dr. Wu’s research spans Intelligent Transportation Systems, autonomous and connected vehicle integration, and advanced traffic safety evaluation. His work addresses congestion management, accident black spot analysis, and the development of data-driven traffic control models. He has conducted in-depth studies on traffic flow dynamics in tunnel and expressway systems under intelligent connected conditions, offering innovative solutions for speed limit control, hazard detection, and infrastructure resilience. Additionally, his research extends to transportation planning and facility design, with a focus on creating adaptable, future-ready systems that enhance mobility, safety, and sustainability.

Awards

Dr. Wu’s research leadership and his ability to translate complex engineering concepts into actionable transportation solutions have earned him professional recognition and respect. His projects, funded by prestigious scientific foundations and transportation technology programs, have directly influenced transportation safety protocols, traffic management systems, and smart vehicle integration strategies. His sustained record of impactful research positions him as an exemplary candidate for the Best Researcher Award, reflecting a career defined by innovation, practical relevance, and societal benefit.

Publications

Title: Hybrid Characteristics of Heterogeneous Traffic Flow in Intelligent Network
Journal: Journal of Southwest Jiaotong University
Published on: 2022

Title: Hybrid Characteristics of Heterogeneous Traffic Flow Under Different Aggregating Lane-Change Strategies in Intelligent Network
Journal: Journal of Southwest Jiaotong University
Published on: 2023

Title: Adaptive Variable Speed Limit Optimization Control Model for Highways
Journal: Journal of Fuzhou University (Natural Science Edition)
Published on: 2017

Title: Evolution Patterns of Heterogeneous Traffic Flow at Ramp Bottlenecks on Expressways
Journal: Journal of Guizhou University (Natural Science Edition)
Published on: 2020

Title: Fuzzy Control and Simulation of Congested Traffic Flow in Merge Bottleneck Areas Based on Chaos Theory
Journal: Journal of Guizhou University (Natural Science Edition)
Published on: 2017

Title: Quantitative Algorithm for Traffic Sign Information Based on Information Transfer Principle
Journal: Journal of Guizhou University (Natural Science Edition)
Published on: 2017

Conclusion

Dr. Dehua Wu’s career exemplifies the integration of research excellence, engineering innovation, and applied problem-solving. His contributions to intelligent transportation systems, safety management, and infrastructure optimization have influenced policy, shaped industry practices, and advanced the scientific understanding of traffic behavior. With a proven ability to deliver high-impact research and practical solutions, he stands as a leading figure in his field and an outstanding nominee for the Best Researcher Award.