Research assistant, Gorgan university, Iran
Profile
Orcid
Ehsan Kohanpour is an accomplished civil engineering professional and researcher. He completed his Bachelor’s degree at Iran Technical and Vocational University in 2018, graduating at the top of his class. Pursuing his passion for advanced studies, he earned his Master’s degree from Golestan University (2021-2024), where he served as a dedicated research assistant. His research journey is marked by a keen focus on transportation safety, smart cities, and the intersection of machine learning with autonomous vehicle technology.
Education 🎓
Ehsan Kohanpour holds a Bachelor’s degree in Civil Engineering from the Iran Technical and Vocational University (2018), where he graduated with top honors. He continued to excel in academia by earning a Master’s degree from Golestan University, completing his studies in 2024 with distinguished recognition in his cohort.
Experience 🛠️
Throughout his academic tenure, Kohanpour has gained substantial experience as a research assistant at Golestan University. His contributions in traffic safety and intelligent transportation systems have solidified his expertise. His work has been pivotal in projects related to autonomous vehicles and sustainable transportation solutions, blending practical engineering knowledge with cutting-edge technology and analytics.
Research Interests 🔬
Kohanpour’s research is rooted in the exploration of modern transportation systems. His interests include autonomous vehicles, traffic safety, machine learning, road safety analysis, and the design of smart, sustainable cities. He is dedicated to advancing knowledge in intelligent transport automation and integrating machine learning to improve traffic engineering and overall public safety.
Honors and Awards 🏅
- Top Graduate (2018): Recognized as the highest-ranked graduate in Civil Engineering at Iran Technical and Vocational University.
- Top Graduate (2023): Distinguished as the leading student at Golestan University’s Faculty of Engineering, reflecting his academic dedication and research excellence.
Publications Top Notes 📝
- Analyzing Autonomous Vehicle Collision Types to Support Sustainable Transportation Systems: A Machine Learning and Association Rules Approach
Published in Sustainability, 13 November 2024.
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