Vuban Chowdhury Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
University of Arkansas at Fayetteville
unknown
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Biography and Research Information
OverviewAI-generated summary
Vuban Chowdhury's research focuses on the adoption of low-carbon transportation and electric vehicle preferences. Recent publications investigate the drivers for low-carbon transportation adoption in California's heavy-duty and off-road sectors, analyzing behavioral catalysts for green transitions. Chowdhury has also explored electric vehicle usage patterns in multi-vehicle households within the United States, employing machine learning techniques to understand vehicle choice and preferences. Additionally, their work includes the development of real-time helmet violation detection systems using YOLOv5 and ensemble learning, as well as noise prediction models in urban environments using regression and artificial neural networks. Chowdhury collaborates with researchers including Suman Mitra and Sarah Hernandez at the University of Arkansas at Fayetteville. Their work has resulted in 8 publications and 34 citations, with an h-index of 3.
Metrics
- h-index: 3
- Publications: 8
- Citations: 34
Selected Publications
- Electric Vehicle Usage Patterns in Multi-Vehicle Households in the US: A Machine Learning Study (2024) DOI
- Unraveling Electric Vehicle Preference: A Machine Learning Analysis of Vehicle Choice in Multi-Vehicle Households in the United States (2024) DOI
- Sustainable Shift: Analyzing Drivers for Low-Carbon Transportation Adoption in California’s Heavy-Duty and Off-Road Sectors (2024) DOI
- Decoding Green Transition: Unraveling Behavioral Catalysts in the Adoption of Low-Carbon Transportation for Heavy-Duty Vehicles and Off-Road Equipment in California (2023) DOI
- Unraveling Electric Vehicle Preference: A Machine Learning Analysis of Vehicle Choice in Multi-Vehicle Households in the United States (2023) DOI
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