Volodymyr Hovorukha | Engineering | Best Researcher Award

Published on by Forensic Scientist

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.

Danladi Abdu | Engineering | Best Researcher Award

Published on by Forensic Scientist

Mr. Danladi Abdu | Engineering | Best Researcher Award

Federal University of Transportation | Nigeria

Mr. Danladi Abdu is a distinguished civil engineering researcher whose work integrates artificial intelligence, data science, and structural engineering to advance the safety and performance of transportation infrastructures. His research focuses on the intelligent assessment and predictive modeling of structural behavior in railway and bridge systems using machine learning algorithms. Through his influential publications in reputable journals such as Structures and the Journal of Railway Science and Technology, Mr. Danladi Abdu has contributed significantly to the development of AI-based approaches for monitoring bridge pier settlements and predicting fire-induced steel beam deformations. His scholarly work bridges the gap between traditional structural analysis and modern computational intelligence, offering innovative methodologies for structural health monitoring and predictive maintenance. Mr. Danladi Abdu’s research interests encompass smart infrastructure systems, railway bridge engineering, machine learning applications in civil engineering, and sustainable design innovations. Recognized for his academic excellence and innovative mindset, he has received multiple awards, including the Class of 2023 Outstanding International Graduate Student Award from Central South University and the Aier Cup Innovation and Entrepreneurship Competition Award. His contributions highlight a strong commitment to applying advanced technologies for solving complex engineering challenges, fostering safer, more efficient, and sustainable infrastructure systems. With an expanding research portfolio and a growing impact in structural and transportation engineering, Mr. Danladi Abdu continues to drive forward-thinking solutions that merge artificial intelligence with civil engineering principles to enhance infrastructure reliability and sustainability in a rapidly evolving technological landscape.

Profile: ORCID

Featured Publications

  • Abdu, D. M., Shedamang, S., Jimoh, J., & Idris, A. (2025). Prediction of fire-induced steel beam deformation using machine learning algorithms. Journal of Railway Science and Technology. https://doi.org/10.1016/j.jrst.2025.10.001

  • Abdu, D. M., Guo, W., & Wang, Y. (2023). Assessment of railway bridge pier settlement based on train acceleration response using machine learning algorithms. Structures. https://doi.org/10.1016/j.istruc.2023.03.167

Xinxin Wang | Engineering | Best Researcher Award

Published on by Forensic Scientist

Mr. Xinxin Wang | Engineering | Best Researcher Award

North China Electric Power University | China

Xinxin Wang is a driven and innovative PhD candidate at North China Electric Power University, whose work bridges advanced theoretical research with practical engineering solutions. With a strong foundation in machinery and power engineering, he has developed expertise in the design, analysis, and optimization of underground tunneling equipment, particularly Tunnel Boring Machines (TBMs). His career reflects a deep commitment to solving complex challenges in rock mechanics and engineering, supported by collaborative efforts with leading experts in China and abroad. His predictive models and design methods have significantly advanced tunneling efficiency, making him a promising leader in his field.

Professional Profile

Scopus

ORCID

Education

Xinxin Wang earned a Master’s degree in Machinery and Engineering from Inner Mongolia University of Science and Technology, followed by doctoral studies in Power Machinery and Engineering at North China Electric Power University. Selected for the prestigious National “Excellent Engineer Program,” he broadened his academic exposure through a joint doctoral program as a visiting scholar at the University of Pisa, Italy. This international engagement allowed him to integrate advanced European engineering practices with domestic innovation, enriching his academic and professional capabilities in tunneling technology and rock-breaking mechanics.

Experience

Xinxin Wang has actively participated in multiple national-level research projects, including those funded by the National Natural Science Foundation of China and the National High Technology Research and Development Program. His contributions extend to the development of proprietary software for calculating rock-breaking forces in TBM disc cutters and the creation of new cutterhead designs capable of handling varied geological conditions. He works closely with industry and academic partners to ensure his research outcomes are implemented in real-world projects, thus enhancing the efficiency, reliability, and cost-effectiveness of large-scale underground excavation.

Research Interest

His research focuses on intelligent control systems and energy efficiency analysis for advanced underground construction equipment, particularly TBMs. He is deeply engaged in studying the collaborative rock-breaking mechanism of disc cutters, developing predictive models for cutter forces and cutterhead torque, and designing innovative solutions to optimize performance in diverse geological settings. Additionally, his expertise spans rock mechanics, structural analysis, and the integration of advanced computational modeling techniques into engineering practice.

Awards

Xinxin Wang has received recognition for his scholarly achievements through competitive doctoral scholarships and honors for academic excellence. His innovative contributions to TBM rock-breaking mechanics, cutterhead design, and excavation efficiency have been widely acknowledged in professional circles. These recognitions underscore his potential to make sustained and transformative contributions to the tunneling and underground engineering sector, making him a strong candidate for the Best Researcher Award.

Publications

Title: Investigation into the Rock-Breaking Forces of TBM Disc Cutters with Diverse Edge Shapes
Journal: Rock Mechanics and Rock Engineering
Published on: 2025

Title: Study on the Rock-Breaking Forces of TBM Disc Cutters with Uneven Wear
Journal: Chinese Journal of Theoretical and Applied Mechanics
Published on: 2025

Title: Study on Fatigue Characteristics of High-Pressure Vessel with Multiple Cracks in Stages
Journal: Mechanical Design and Manufacturing
Published on: 2024

Title: Allowable Limit of Crack Defect Zone Evaluation under Expected Life of Ultra-high Pressure Vessel Head
Journal: Thermal Processing Technology
Published on: 2024

Conclusion

By combining theoretical innovation with real-world engineering solutions, Xinxin Wang has made impactful contributions to the science and technology of tunnel boring and underground excavation. His research has not only improved operational efficiency but has also reduced construction costs and enhanced safety in challenging environments. With proven academic excellence, international collaboration experience, and a strong record of published work, he exemplifies the qualities of a dedicated and forward-thinking researcher worthy of the Best Researcher Award.