Cai Xuan | Engineering and Technology | Research Excellence Award

Published on by Popular Engineer

Mr. Cai Xuan | Engineering and Technology | Research Excellence Award

Beihang University | China

Cai Xuan is a doctoral researcher in transportation engineering with a strong background in mechanical engineering and a research focus on autonomous driving safety, intelligent testing, and AI-driven decision making. He is currently pursuing a PhD at Beihang University after completing his master’s and bachelor’s degrees in Mechanical Engineering at Hunan University. His research experience spans adversarial reinforcement learning, large language model–based scenario generation, energy management for hybrid vehicles, and safety-critical testing frameworks for autonomous vehicles. He has served as lead or co-author on multiple peer-reviewed publications in high-impact journals and top-tier conferences, including IEEE Transactions on Intelligent Vehicles, Energy, Automotive Innovation, and IEEE Intelligent Vehicles Symposium. His scholarly output has resulted in 7 published papers, an h-index of 3, and over 16citations, reflecting growing academic influence in intelligent transportation systems. His work has demonstrated significant improvements in robustness, vulnerability discovery, and real-time performance of autonomous and electrified vehicle systems. He is the recipient of multiple academic scholarships and competitive research awards at both undergraduate and graduate levels. Overall, his research contributes practical and theoretical advances toward safer, more reliable, and intelligent mobility systems.

Citation Metrics (scopus)

3500
2500
600
200
0

Citations
16

Document
7
h-index
3

Citations

Documents

h-index


View Scopus Profile

Featured Publications


Koma: Knowledge-driven Multi-agent Framework for Autonomous Driving with Large Language Models
K. Jiang, X. Cai, Z. Cui, A. Li, Y. Ren, H. Yu, H. Yang, D. Fu, L. Wen, P. Cai.
IEEE Transactions on Intelligent Vehicles, 2024.


Adversarial Stress Test for Autonomous Vehicle via Series Reinforcement Learning Tasks with Reward Shaping
X. Cai, X. Bai, Z. Cui, P. Hang, H. Yu, Y. Ren.
IEEE Transactions on Intelligent Vehicles, 2024. (Citations: 15)


Text2Scenario: Text-driven Scenario Generation for Autonomous Driving Test
X. Cai, X. Bai, Z. Cui, D. Xie, D. Fu, H. Yu, Y. Ren.
Automotive Innovation, 2026, 1–26. (Citations: 14)

Biomimetic Multi-UAV Swarm Exploration with U2U Communications Under Resource Constraints
Y. Huang, H. Wang, X. Bai, X. Cai, H. Yu, Y. Ren.
IEEE Transactions on Vehicular Technology, 2025. (Citations: 5)

Jalil Jamali | Mechanical Engineering | Best Researcher Award

Published on by Popular Engineer

Dr. Jalil Jamali | Mechanical Engineering | Best Researcher Award

Islamic Azad University | Iran

Dr. Jalil Jamali is an Assistant Professor of Mechanical Engineering at Islamic Azad University. His teaching spans undergraduate (Mechanics of Materials, Statics, Dynamics, Vibrations), master’s (Theory of Plates & Shells, Elasticity, Elastodynamics, Advanced Mathematics I, Vehicle Dynamics) and doctoral-level (Advanced Mathematics II) courses. His research interests centre on Vibrations, Dynamics, Ultrasonic Non-Destructive Testing (NDT), and Functionally Graded Materials (FGM). Over the years, he has authored multiple papers in these areas. Through his publications, he contributes to advancing methods in dynamic analysis and NDT for graded materials. He also guides students and cultivates a rigorous learning environment through both theoretical and applied courses. His experience as educator and researcher enables bridging fundamentals (mechanics and mathematics) with advanced topics (elasticity, dynamics, FGM, NDT), positioning him as a versatile scholar. His work continues to attract citations, reflecting growing recognition in his field.

Profile : Google Scholar

Featured Publications

Shoghl, S. N., Jamali, J., & Moraveji, M. K. (2016). Electrical conductivity, viscosity, and density of different nanofluids: An experimental study. Experimental Thermal and Fluid Science, 74, 339–346.

Behzad, M., Alvandi, M., Mba, D., & Jamali, J. (2013). A finite element-based algorithm for rubbing induced vibration prediction in rotors. Journal of Sound and Vibration, 332(21), 5523–5542.

Mousavi, S. F., Hashemabadi, S. H., & Jamali, J. (2020). Calculation of geometric flow profile correction factor for ultrasonic flow meter using semi-3D simulation technique. Ultrasonics, 106, 106165.

Rajabi, M., Ahmadian, M. T., & Jamali, J. (2015). Acoustic scattering from submerged laminated composite cylindrical shells. Composite Structures, 128, 395–405.

Goharkhah, M., Ashjaee, M., & Jamali, J. (2016). Experimental investigation on heat transfer and hydrodynamic behavior of magnetite nanofluid flow in a channel with recognition of the best models for transport properties. Experimental Thermal and Fluid Science, 68, 582–592.