Abdulmalik Adamu | Vehicle Aerodynamics | Excellence in Research

Mr. Abdulmalik Adamu | Vehicle Aerodynamics | Excellence in Research 

Central south university | China

Mr. Abdulmalik Adamu is a dedicated and highly motivated Masters student in Transportation Engineering at Central South University (CSU), China, with a strong academic foundation in both mechanical engineering and transportation equipment and control engineering. Holding dual bachelor’s degrees from Ahmadu Bello University, Nigeria, and CSU, China, he has consistently demonstrated exceptional academic performance, achieving a CGPA of 4.56/5.00 in mechanical engineering and 3.7/4.00 in transportation equipment and control engineering. His academic journey reflects a deep commitment to understanding vehicle operation and railway systems, culminating in a current MSc thesis focused on “Flow Control for Drag Reduction on Bogie Regions of a High-Speed Train,” which addresses critical aerodynamic challenges in modern rail transport. Abdulmalik has gained practical experience through internships and apprenticeships, including his tenure at Dangote Cement Industry, Nigeria, and Onuche and Sons Welding and Fabrication, where he developed hands-on skills in mechanical systems, fabrication, and operational management. At CSU, he is actively involved in research at the Key Laboratory of Traffic Safety on Track under the Ministry of Education, contributing to several high-impact publications. Notably, he has published work on the aerodynamic performance of high-speed trains, with additional papers accepted for numerical investigations of inter-carriage gap configurations and the influence of windshield design and train length on train aerodynamics. These contributions demonstrate his proficiency in numerical simulations, computer-aided design, and analytical problem-solving. In addition to technical expertise, Abdulmalik possesses strong communication and presentation skills, complemented by practical experience in welding, fabrication, and research development. His engagement in international training programs and conferences, such as the COTA International Conference of Transportation Professionals and the Fifth International Conference on Railway Technology in France, highlights his commitment to continuous learning and global collaboration. Fluent in English, Hausa, and Igala, with limited working proficiency in Chinese, he combines cultural adaptability with professional versatility. Driven by curiosity and a desire to contribute to innovative solutions in transportation, Abdulmalik is passionate about programming, numerical simulations, and technological innovation. He thrives on challenges and consistently seeks opportunities to enhance his skills and knowledge, making him a promising researcher and engineer in the field of transportation systems and high-speed railway technologies. His dedication, integrity, and innovative mindset position him to make meaningful contributions to both academic research and practical engineering solutions globally.

Profile: Orcid

Featured Publications

Adamu, A., Zhang, J., Melaku, T. G., & Tebeje, G. D. (2026). Impact of incoming flow on wake asymmetry of a simplified vehicle: The Reynolds number effect. Journal of Wind Engineering and Industrial Aerodynamics. Advance online publication. https://doi.org/10.1016/j.jweia.2025.106291

Zhang, J., Melaku, T. G., & Adamu, A. (2025). A numerical investigation on the effect of length on wake flow asymmetry of a simplified heavy vehicle. Physics of Fluids. Advance online publication. https://doi.org/10.1063/5.0269804

Adamu, A., Zhang, J., & Tajudeen, H. (2025). Aerodynamic drag reduction of a high-speed train with cavities on bogie regions. Physics of Fluids. Advance online publication. https://doi.org/10.1063/5.0271382

Adamu, A., He, K., Krajnović, S., & Zhang, J. (2024). An investigation of superstructure length on bi-stable ship wake flow. Ocean Engineering, 277, 119083. https://doi.org/10.1016/j.oceaneng.2024.119083

Zhang, J., Adamu, A., Gidado, F., Tang, M., Ozer, O., & Chen, X. (2023). Flow control for aerodynamic drag reduction of a high-speed train with diversion slots on bogie regions. Physics of Fluids, 35(11), 117251. https://doi.org/10.1063/5.0172533

Zhang, J., Gidado, F., Adamu, A., He, K., Krajnović, S., & Gao, G. (2023). Assessment of URANS, SAS, and IDDES on the bi-stable wake flow of a generic ship. Ocean Engineering, 271, 115625. https://doi.org/10.1016/j.oceaneng.2023.115625

 

Xiaolong Zhang | Intelliget Vehicle | Best Researcher Award

Assoc Prof Dr. Xiaolong Zhang | Intelliget Vehicle | Best Researcher Award

Fuzhou University | China

Author Profile

Scopus

👨‍🏫 Summary

Dr. Xiaolong Zhang is an Associate Professor at the School of Mechanical Engineering and Automation, Fuzhou University, China. His expertise lies in artificial intelligence, robotics, and vehicle dynamics. He has authored over 20 academic papers and holds 26 patents, showcasing his strong contributions to intelligent systems and control technologies.

🎓 Education

He received his Ph.D. in Mechanical Engineering from Huazhong University of Science and Technology, Wuhan, in 2021, focusing on advanced control and robotic systems.

💼 Professional Experience

Dr. Zhang has led and contributed to 8 research projects and 3 industry consultancy assignments. He is actively collaborating with Geely Auto on smart tire technologies, bridging the gap between academia and industry.

📈 Academic Citations & Publications

He has 20 publications in reputed SCI and Scopus-indexed journals, with a citation index of 12. He also holds one editorial appointment, reflecting his recognition in the academic community.

🛠️ Technical Skills

His core competencies include robot dynamic systems, motion planning, reinforcement learning, vehicle control algorithms, and AI-based autonomous navigation.

👨‍🏫 Teaching Experience

Dr. Zhang teaches undergraduate and graduate courses in robotics, control theory, and intelligent vehicle systems, and supervises student research in related domains.

🔬 Research Interests

His main interests revolve around artificial intelligence, robotics, autonomous vehicles, and reinforcement learning, with a strong focus on real-time dynamic control and decision-making systems.

🚗 Key Contributions

He proposed a novel continuous lane-changing decision and planning method using hierarchical reinforcement learning (HRL). The approach separates high-level decision-making and low-level motion planning, using a coupled training strategy to ensure smooth speed and steering control, improving the convergence and performance of HRL in autonomous driving.

🤝 Memberships & Affiliations

He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and the Chinese Mechanical Engineering Society (CMES).

📖Publications

A cascaded strategy-based hierarchical reinforcement learning algorithm for lane change decision-making
  • Year: 2025