Graduate Research Assistant
Fresno State Transportation Institute
Fresno, CA, United States
Ritvik Gaur is a dynamic Product Manager, Software Engineer, and AI researcher, specializing in AI, machine learning, and data analytics, with a passion for driving sustainable solutions in transportation and beyond. Currently, Ritvik is completing his master’s degree, expected in December 2024, while serving as a Graduate Research Fellow at the Fresno State Transportation Institute. In this role, he leads cutting-edge research projects focused on reducing environmental impacts, analyzing transportation patterns, and developing real-world tools to improve decision-making.
Before joining the institute, Ritvik worked with TCS, where he honed his expertise in cloud technologies, Python, Java, and C/C++. He also led AI projects, significantly enhancing system performance and operational efficiency. His technical acumen is matched by his strategic thinking, evident in his work on product lifecycle management, market research, and customer adoption strategies, driving innovation across various sectors.
Ritvik’s research projects, such as predicting traffic trends using AI/ML models and estimating the carbon footprints of vehicles, showcase his ability to harness technology for meaningful impact. His work has the potential to influence environmental policy, offering solutions to reduce emissions and promoting sustainable transportation choices.
With experience spanning AI, software development, transportation research, and sustainability, Ritvik Gaur is shaping the future of innovation at the intersection of technology and environmental stewardship.
Disclosure information not submitted.
A Real-Life-Data-Based Temporal Analysis of Transit Accessibility in Fresno City
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
A Real-Life-Data-Based Tool for Analyzing Transportation Barriers and Inequities in School Access
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
A Real-Life-Data-Based Tool for Analyzing Transportation Inequities in Access to Healthcare
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
A Real-Life-Data-Based Transit Accessibility and Equity Analysis: A Case Study on the Fresno City
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
AI Model and Data Analytics for Estimating Environmental Footprint Parameters for Automobiles in US
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
Exploring 14 Years of Fresno Traffic Patterns: A Data-Driven Study Utilizing Machine Learning Models
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
Transformative Location Service Platforms: Comparing Geospatial Data, APIs, Features and Application
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT