Thilanka
Munasinghe

I have publisehd both journal and conference papers based on the research projects that I worked on.

journal Publications:

• 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
• Study on Variation in Mobility and Travel Behaviour during the Covid-19 Pandemic: Case study in Western Province, Sri Lanka, Transportation Research Record Journal , K.D.P. Damsara, G.L. Dimantha I. De Silva, Thilanka Munasinghe. (Submitted).

Conference Publications

• Landslide Likelihood Prediction Using Machine Learning Algorithms , Vasundhara Acharya, Anindita Ghosh, Inwon Kang, Thilanka Munasinghe, Binita KC. NASA Technical Report Server (NTRS) and IEEE BigData 2022 Conference, December, 2022.
• Analysis of Global Literacy and Annual Wages by Nation , Ronna Min, Thilanka Munasinghe. , 3rd IEEE International Conference on Big Data Analytics and Practice (IBDAP), September 2022.
• Analysis of Grain and Seed Oil Production in Ukraine Prior to Recent Russian Invasion , Nay Zaw Aung Win, Thilanka Munasinghe. , 3rd IEEE International Conference on Big Data Analytics and Practice (IBDAP), September 2022.
• 2021 Monthly Rice Production in Chinese Coastal Provinces , Ajeet Parmar, Thilanka Munasinghe, Heidi Tubbs, Assaf Anyamba. , 3rd IEEE International Conference on Big Data Analytics and Practice (IBDAP), September 2022.
• Predicting Crimean-Congo Hemorrhagic Fever Outbreaks via Multivariate Time-Series Classification of Climate Data , Jonathan Harris, Thilanka Munasinghe, Heidi Tubbs, Assaf Anyamba. , 6th ACM International Conference on Medical and Health Informatics (ICMHI 2022), May 2022.
• 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.
• 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, 3^rd IEEE Workshop on Machine Learning for Big Data Analytics in Remote Sensing, IEEE BigData2021 Conference, 15-18 December 2021.
• Analysis of Preprocessing Techniques, Keras Tuner and Transfer Learning on Cloud Street Image Data, Sharmad Joshi, Shlok Shah, Jessie Ann Owens, Thilanka Munasinghe. 3^rd IEEE Workshop on Machine Learning for Big Data Analytics in Remote Sensing, IEEE BigData2021 Conference, 15-18 December 2021 (Short paper).
• 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 15^th, 2021.
• Engaging Students in Data Literacy: Lessons Learned from Data Intensive Classrooms, Thilanka Munasinghe, Amy Svirsky, Data Literacy Workshop, 13^th ACM WebScience Conference, June 21^st- 25^th.
• Diabetes Tracker: An Information Systems to Assist and Track Nutritional Information, Vipula Rawte, Hongyi Huang, Michael Morrison, Janine Wu, Travis Peterson, Thilanka Munasinghe, Digital Capabilities Workshop, 13^th. ACM WebScience Conference, June 21^st- 25^th
• Development of a Rapid Prototyping COVID-19 Geographic Information System and the Influence of Testing Centers on Data Visualization, 5th International Conference on Medical and Health Informatics (ICMHI 2021) Samantha Katcher, Josephine Lyons, Mia Price, Thilanka Munasinghe, May 2021.
• Personality Trait Analysis in Psychoactive Drug Abusers, 5th International Conference on Medical and Health Informatics (ICMHI 2021), Madison Chamberlain, Thilanka Munasinghe, May 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.
• Dengue Spread Information System (DSIS), 4th International Conference on Medical and Health Informatics (ICMHI2020), Bhanot, Karan, Dominic Schroeder, Isaac Llewellyn, Nicholas Luczak, Thilanka Munasinghe, August 2020.
• A Two-Step Framework for Parkinson’s Disease Classification: using Multiple One-Way ANOVA on Speech Features and Decision Trees, AAAI Symposium on AI for Social Good, Gaurang Prasad, Thilanka Munasinghe, Oshani Seneviratne,August 2020.
• Investigating the Relationship Between High-Latitude Dust and Precipitation, 2^nd IEEE Workshop on Machine Learning for Big Data Analytics in Remote Sensing, IEEE BigData2020 Conference, Ariane Maharaj, Thilanka Munasinghe, December 2020.
• Dynamic and Kinematic Characteristics of Bubble Flow Motion in Paramagnetic Liquid Under Microgravity Conditions. International Conference on Fluid Flow Dynamics (ICFD), Sendai, Japan, Thilanka Munasinghe, November 2009.
• Investigating Bubble Expansion in Pool Boiling Under Influence of Magnetic Field in Microgravity Conditions. World Scientific and Engineering Academy and Society, (WSEAS), Moscow, Russia, Thilanka Munasinghe, Sanket Joshi, August 2009.
• Studying the Characteristics of Bubble Motion in Pool Boiling in Microgravity Conditions Under the Influence of a Magnetic Field. Recent Advances on Space Technology (RAST), IEEE – AIAA Joint Conference, Istanbul, Turkey. Thilanka Munasinghe, June 2009.
• Investigating Bubble Behavior in Pool Boiling in Microgravity Conditions, World Congress on Engineering (WCE), International Association of Engineers (IAENG), Imperial College, London, UK, Thilanka Munasinghe, July 2008.

Short Papers and Posters

• Image Classification to identify Transverse Cirrus Band Clouds using Convolutional Neural Networks, Gregory Saini, Thilanka Munasinghe, IEEE BigData2021 Conference, (Short paper & Poster).
• Binary Classification Edge Cases in Cyclones Using AlexNet and ResNet Neural Networks, Brendan Donnelly, Thilanka Munasinghe, IEEE BigData2021 Conference, (Short paper & Poster)
• Covid Vaccine Risk Stratification, Lucas Standaert, Dongyoung Jang, Catherine Tate, Sean Lossef, Wilson Wong, Thilanka Munasinghe. Workshop on Big Data Analytics for COVID-19 (BDA COVID-2021), IEEE BigData2021 Conference, (Short paper & Poster).
• Clean Water: How the AI community can contribute to accessing water sources in developing countries, AAAI Symposium on AI for Social Good, Karthik Dusi, Thilanka Munasinghe, August 2020.
• Exploring Various Applicable Techniques to Detect Smoke on the Satellite Images, IEEE BigData Conference, Chu-Lin Huan, Thilanka Munasinghe, December 2020. (Short Paper & Poster).
• Exploratory Data Analysis to Understand Social Determinants Important to Global Neonatal Mortality Rate, IEEE BigData Conference, Joshua Chuah, Thilanka Munasinghe, December 2020. (Short Paper & Poster).
• 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. (Short Paper & Poster).
• Identifying the Relationship between Precipitation and Zika Outbreaks in Argentina, IEEE BigData Conference, Lilian Ngweta, Karan Bhanot, Ariane Maharaj, Ian Bogle, Thilanka Munasinghe, December 2019. (Short Paper & Poster).

WORKING-IN PROGRESS PAPERS CURRENTLY AT RENSSELAER POLYTECHNIC INSTITUTE (RPI):

• Effect of Dependent Factors on Global Child Mortality, Mukesh Mohanty, Chirag Sahni, Shlok Shah, Himanshu Dey, Deepanshu Dey, Devanshoo Jain, Thilanka Munasinghe.
• Robust Classification of “Cloud Streets” for Meteorological Advancement using Deep Learning, Jiarui Jiang, Thilanka Munasinghe.
• Identifying Desirable NYC Schools, Dominic Schroeder, Thilanka Munasinghe.
• COVID-19 and Water Quality: Public Beaches and Lakes Water Quality Data Assessment During the Pandemic, Dominic Schroeder, Thilanka Munasinghe.
• COVID-19 Vaccination Cases Information System. Liangbin Zhu, Kai Liang, Kehan Shen, Sijiang Chen, Shuang Qiu, Weiyi Xia, Thilanka Munasinghe.

Poster Presentations:

• Efficient Path Planning Algorithms for Autonomous Underwater Vehicles, Google Research Labs Conference, June 2014.
• Transformation Mapping of Bubbles’ 2-D Circular Shape to an Elliptical Shape Under Influence of a Magnetic Field in Pool Boiling in Microgravity Conditions, Thilanka Munasinghe, 5th MIT Conference on Computational Fluid and Solid Mechanics, Massachusetts Institute of Technology (MIT), Cambridge, MA, Thilanka Munasinghe, June 2009. (Abstract & Poster).
• Laminar to Turbulent Transition in Fluid Flow in Boiling, AIAA Young Professional and Student Education Conference, John Hopkins University, Baltimore, Maryland, November 2008.
• Pool Boling in Microgravity Environment; AIAA Student Conference, University of Maryland, College Park, April 2008.
• Pool Boiling: Heat Transfer Application; Research Day at WV-Capitol, Charleston, West Virginia, January 2008.

I enjoy teaching. Currently, I teach data-intensive courses such as Data Science, Data Analytics, and Informatics at Rensselaer Polytechnic Institute (RPI). Before joining RPI, I had many opportunities to teach at WVU, where I taught Introduction to Engineering courses and Mobile App development courses and tutoring math, physics, and MatLab learning sessions at Engineering Learning Center at WVU. Also, I was the Java, C++, and android programming instructor at WVU Launch Lab.

Click on the images below to learn more about courses that I teach at RPI (Data Science, Data Analytics and Informatics) and see some of the sample lessons I have conducted for Mathematics and Mobile App Development using MIT App Inventor at WVU and other general teaching-related tutorials.