Tongji University - Pakistan
Author Profile
ORCID
Summary
Kamran Aziz is a dedicated Ph.d. scholar in transportation engineering at Tongji university, with prior degrees in civil and transportation engineering from Pakistan. his career spans teaching, research, and advanced machine learning applications in traffic systems. his academic and professional journey reflects a commitment to sustainable infrastructure, public safety, and innovation in intelligent transportation technologies.
Early academic pursuits
Kamran Aziz began his academic journey in civil engineering, earning a bachelor's degree from the university of engineering and technology, peshawar, pakistan, in 2011. with a solid foundation in engineering principles, he pursued a master's degree in transportation engineering at nust, islamabad, where he researched truck loading patterns and their impact on pavement design. his strong academic performance and passion for sustainable transport led him to Traffic Safety further research and international collaboration.
Professional endeavors
His academic path is complemented by hands-on teaching experience. kamran worked as a senior lecturer at my university in islamabad from 2021 to 2023 and earlier served as a junior lecturer at gandhara institute of science and technology. his time as a research assistant at nust Traffic Safety strengthened his foundation in empirical analysis and practical implementation of transportation research.
Contributions and research focus
Currently pursuing a ph.d. in transportation engineering at tongji university, shanghai, kamran focuses on road traffic injury severity assessment using dynamic ensemble learning, combining data science and machine learning with Traffic Safety transport systems. his research integrates modern technologies into traffic safety and infrastructure design, contributing to the evolving field of intelligent transportation systems.
Impact and influence
Kamran’s research contributes to traffic accident prediction, safety optimization, and pavement performance modeling. his work is relevant to policy development, infrastructure planning, and public safety improvements. with growing urban Traffic Safety transport challenges, his research aligns with global sustainable mobility goals and smart city planning, making a strong impact in both academic and governmental sectors.
Academic cites
His ongoing doctoral research is expected to contribute to top-tier journals in transportation engineering, machine learning applications, and road safety. his master's thesis and earlier studies provide foundational insights into Traffic Safety infrastructure sustainability and transport policy in South Asia.
Legacy and future contributions
Kamran Aziz is well-positioned to become a leader in sustainable transportation engineering. his interdisciplinary expertise, blending civil engineering, traffic safety, and data-driven approaches, aims to influence future urban transport systems globally. as a researcher and educator, he seeks to connect academic research with real-world transportation challenges, promoting safe, Traffic Safety efficient, and technology-enhanced mobility.
Notable Publications
- Title: A Novel Bayesian Optimized-Combined Kernel & Tree Boost Approach for Road Traffic Crash Severity Analysis
Authors: Aziz, Kamran; Chen, Feng; Khattak, Afaq
Journal: International Journal of Civil Engineering
Year: 2025
- Title: An interpretable dynamic ensemble selection multiclass imbalance approach with ensemble imbalance learning for predicting road crash injury severity
Authors: Aziz, Kamran; Chen, Feng; Ahmad, Mahmood; Khan, Muhammad Salman; Sabri Sabri, Mohanad Muayad; Almujibah, Hamad
Journal: Scientific Reports
Year: 2025
- Title: Explainable AutoML models for predicting the strength of high-performance concrete using Optuna, SHAP and ensemble learning
Authors: Khan, Muhammad Salman; Peng, Tianbo; Khan, Muhammad Adeel; Khan, Asad; Ahmad, Mahmood; Aziz, Kamran; Sabri, Mohanad Muayad Sabri; Abd EL-Gawaad, N. S.
Journal: Frontiers in Materials
Year: 2025
- Title: Improvements aiming at a safer living environment by analyzing crash severity through the use of boosting-based ensemble learning techniques
Authors: Aziz, Kamran; Chen, Feng; Khattak, Afaq
Journal: International Journal of Crashworthiness
Year: 2025
- Title: Road Traffic Crash Severity Analysis: A Bayesian-Optimized Dynamic Ensemble Selection Guided by Instance Hardness and Region of Competence Strategy
Authors: Kamran Aziz; Feng Chen; Inamullah Khan; Shabir Hussain Khahro; Muhammad Abdul Malik; Zubair Ahmed Memon; Afaq Khattak
Journal: IEEE Access
Year: 2024
Conclusion
With a clear vision and diverse experience, kamran aziz is contributing to global efforts in traffic safety and transport efficiency. his work addresses urgent urban mobility issues through technology and research, positioning him as a valuable asset to academic institutions, policy bodies, and smart infrastructure projects in the years to come.