Saipraneeth Devunuri
I'm a PhD student in Transportation Engineering at the University of Illinois, Urbana-Champaign currently working on applying Large Language Models and Computer Vision to transportation data. My research focuses on making transportation data more accessible and developing innovative solutions using artificial intelligence.
I work closely with Professor Lewis Lehe on several projects including TransitGPT, a framework that allows users to query transit data using natural language, and developing methods for automated parking lot detection from satellite imagery. I'm particularly interested in how AI can be used to democratize access to transportation data and improve urban planning decisions.
My work spans multiple domains including natural language processing, computer vision, and transportation engineering. I've published research on topics ranging from ridesplitting effects in Chicago to developing benchmarks for crack detection in infrastructure. I'm passionate about creating practical tools that can help transportation planners and researchers work more efficiently with complex datasets.
Publications
An unsupervised learning framework for detecting adaptive cruise control operated vehicles in a vehicle trajectory data
Mohammadreza Khajeh-Hosseini, Alireza Talebpour, Saipraneeth Devunuri, Samer H. Hamdar
Expert systems with applications 2022
