Research & Implementation - San Antonio

Texas A&M Transportation Institute
3500 NW Loop 410
Suite 315
San Antonio, TX 78229
[email protected]

Mr. Tharindu Atapattu is a Research Assistant at the Texas A&M Transportation Institute (TTI), specializing in the collection, processing, and analysis of diverse data types to address real-world transportation challenges. Also, his role involves leveraging his expertise in Python programming, data processing, machine learning, and advanced statistical methods. He has contributed to multiple research projects, focusing on the collection, processing, and analysis of traffic, roadway, demographic, and other various types of data.

Mr. Atapattu holds a Bachelor of Science in Physical Sciences and a Master of Science in Applied Electronics from the University of Colombo in Sri Lanka. He furthered his academic journey at the Department of Electrical and Computer Engineering at the University of Texas at San Antonio (UTSA), where he earned a Master of Science in Computer Engineering. He is proficient in Python, machine learning, deep learning, and data analytics, and is skilled in utilizing numerous data science tools. His ability to analyze data, develop predictive models, and identify key features for making predictions has been instrumental in his research and professional projects. His current work at TTI includes the count deactivation process for stations in various districts and counties in Texas. This task involves the analysis of multiple factors such as road type, road segment lengths, vehicle count, railroad, bridges, and special facilities associated with the given stations.

Prior to his current position at TTI, Mr. Atapattu served as a Graduate Research Assistant at UTSA, where he developed multiple high-accuracy machine learning models for disease prediction and disease-severity assessment from Electronic Health Records (EHR). Additionally, he has explored the use of machine learning models to analyze and evaluate characteristics of biomedical materials, person-identification from multiple biometric data, and the impact of the General Data Protection Regulation (GDPR) on biometric data collection, processing, and algorithms. He has also worked as a Graduate Teaching Assistant for various courses in the Department of Electrical and Computer Engineering at UTSA, and as a demonstrator in Physics and Electronics laboratories in the Department of Physics at the University of Colombo.