Thilanka Munasinghe

Thilanka Munasinghe

Thilanka Munasinghe is a lecturer at ITWS with a focus on teaching areas related to Data Science, Data Analytics and Informatics. Prior to joining RPI, Thilanka was the CodeLab instructor at the West Virginia University’s LaunchLab, where he was instrumental in providing technical expertise and mentorship to student entrepreneurs of early-stage student-initiated start-ups. Thilanka has also contributed to large scale open source software projects such as MIT App Inventor. Thilanka received his BSc in Aerospace Engineering and MSc in Mechanical Engineering from West Virginia University, and has conducted research on microgravity systems and genetic algorithms. Thilanka’s current research interests are on data-driven analytics using big data to address societal challenges in a diverse set of areas such as multi-disciplinary engineering applications, energy systems, urbanization, social networks, and health issues that impact society, by building novel early warning systems and internet of things applications.

 

 

  • Sensing and Mapping for Better Roads: Initial Plan for Using Federated Learning and Implementing a Digital Twin to Identify the Road Conditions in a Developing Country – Sri Lanka, Thilanka Munasinghe, H.R Pasindu, ACM SIGKDD 2021 International Conference on Knowledge Discovery & Data Mining Workshop: Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resiliency Planning, August 15th, 2021.
  • Socioeconomic and Geographic Variations that Impact the Spread of Malaria, AAAI Symposium on AI for Social Good, Thilanka Munasinghe, Aayush Maheshwarkar, Karan Bhanot, August 2020.
  • IoT Application Development Using MIT App Inventor to Collect and Analyze Sensor Data, IEEE BigData Conference, Thilanka Munasinghe, Evan. W. Patton, Oshani Seneviratne, December 2019.
  • Scraping Unstructured Data to Explore the Relationship between Rainfall Anomalies and Vector-Borne Disease Outbreaks, Ethan Joseph, Thilanka Munasinghe, Heidi Tubbs, Baskar Bishnoi, Assaf Anyamba, 3rd IEEE Workshop on Machine Learning for Big Data Analytics in Remote Sensing, IEEE BigData2021 Conference, 15-18 December 2021.
  • Data-driven Analysis of Remote Work in China During the COVID-19 Pandemic, Yufei Wu, Thilanka Munasinghe, Lydia Manikonda, Oshani Seneviratne. HICSS 2022 (Hawaii International Conference on System Science).
  • Hidden Workforce: Analysis on Recognizing Unpaid Domestic Work Through Social Determinants, James Hicks, Thilanka Munasinghe. IEEE BigData 2021 Conference, 15-18 December 2021.
  • Chronic Respiratory Disease Risk: Modeling Potential and Limitations, Alex He, Thilanka Munasinghe. IEEE BigData 2021 Conference, 15-18 December 2021.
  • A Flexible Genetic Algorithm System for Multi UAV Surveillance: Algorithm and Flight Testing, Journal of Unmanned Systems. Marjorie Darrah, Jay Wilhelm, Thilanka Munasinghe, Mitch Wathen, Steve Yokum, Eric Sorton, Volume 03, Issue 01, pages: 49-62, January 2015.
  • Using Genetic Algorithms for Tasking Teams of Raven UAVs, Journal of Intelligent and Robotics Systems, Marjorie Darrah, Edgar Fuller, Thilanka Munasinghe, Kristin Duling, Mridul Gautam, Mitchell Wathen, Volume 70, Issue 1-4, pages: 361-371. April 2013.
  • Engaging Students in Data Literacy: Lessons Learned from Data Intensive Classrooms, Thilanka Munasinghe, Amy Svirsky, Data Literacy Workshop, 13th ACM WebScience Conference, June 21st- 25th, 2021.