Engineer In Training, ITS/TSMO
Nashville Department of Transportation & Multimodal Infrastructure (NDOT)
Nashville, Tennessee, United States
Jewel Rana Palit is an accomplished Engineer in Training (EIT) and Remote Drone Pilot based in Nashville, Tennessee. He serves as the lead engineer of the Traffic Management Center (TMC) and Transportation Systems Management and Operations (TSMO) at the Nashville Department of Transportation (NDOT), specializing in Intelligent Transportation Systems (ITS) and traffic operations. With over three years of experience, he has led complex projects focusing on artificial intelligence, autonomous vehicles, and data science.
At NDOT, Palit enhances traffic management and safety through proactive strategies. His notable projects include the $65 million I-24 Smart Corridor Project and significant contributions to the $75 million Vision Zero initiative aimed at reducing traffic-related fatalities.
Palit earned a Master of Science in Civil Engineering from the University of Tennessee at Chattanooga, graduating with a perfect GPA, and a Bachelor’s degree from Chittagong University of Engineering & Technology in Bangladesh. His research in machine learning applications for traffic safety has been published and presented at industry conferences.
He holds certifications as an Engineer-in-Training and a Remote Drone Pilot from the FAA and passed the Civil Engineering PE: Transportation Exam in 2024. Palit is skilled in various traffic analysis tools and programming languages, including Python, Synchro, and VISSIM.
Additionally, Palit is committed to social responsibility, contributing to local charities and participating in professional organizations like the American Society of Civil Engineers (ASCE) and the Institute of Transportation Engineers (ITE), thus advancing safer and more sustainable urban infrastructure.
Disclosure information not submitted.
A Multi-Graph Convolutional Approach for Short-Term Turning Movement Prediction at Intersections
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
Crash Patterns in Level 2 & 4 Autonomous Vehicles: Exploratory & Clustering Analysis
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT