Swapnil Samant

TTI Research Scientist
Program Manager

Education

• M.S., Computer Science, University of Texas at El Paso, 2010
• B.S., Computer Engineering, Mumbai University, 2001

Short Biography

Swapnil Samant is a seasoned software applications developer with a career spanning over two decades, specializing in the development of both web-based and desktop software solutions. Currently serving as a Research Scientist at the Texas A&M Transportation Institute (TTI), Mr. Samant has played a key role in the creation of innovative technologies for transportation and data analysis. He has developed systems that tracks wait times and crossing times for US-bound commercial vehicles at various ports of entry along the US-Mexico border, providing both real-time data and historical reporting. In addition to his work in transportation, Mr. Samant has applied his expertise in software reverse engineering (SRE), cybersecurity, software-defined radio (SDR), and unmanned aerial vehicles (UAVs), integrating these advanced technologies into practical, cutting-edge applications.

Mr. Samant’s proficiency in SRE allows him to deconstruct complex software systems, identify vulnerabilities, and optimize their performance. His expertise in SRE is particularly valuable in cybersecurity, where he ensures that the software systems he develops are secure and resilient to potential digital threats. This ability has been crucial in the design of reliable, secure transportation software applications, where safeguarding sensitive data and ensuring system integrity are of utmost importance. Additionally, Mr. Samant has leveraged SDR technology in the identification and tracking of UAVs through their radio transmission. By using SDR to intercept and analyze radio signals emitted by UAVs, he has developed systems capable of detecting and identifying drone activity in real-time. This innovative application of SDR enhances the ability to monitor airspace and ensure security, especially in environments where UAVs may pose a risk to transportation infrastructure or sensitive sites.

Moreover, Mr. Samant’s work with UAVs extends beyond identification, as he has developed autonomous systems for monitoring traffic flow, assessing infrastructure conditions, and gathering critical environmental data. By integrating UAVs with artificial intelligence and machine learning, he enhances the ability to analyze large datasets collected through aerial sensors, enabling better decision-making in transportation planning and management. Mr. Samant’s multidisciplinary skills in UAV technology, SDR for UAV detection, and software reverse engineering allow him to deliver innovative solutions that address complex challenges in transportation, security, and data systems. His contributions at TTI continue to drive forward the development of next-generation technologies in these fields.