University of Utah, US
Ph.D., Computer Science
Aug 2023 - Present
I am currently pursuing a Ph.D. in Computer Science at the Kahlert School of Computing of University of Utah, with a research focus on Human-Centered Computing and Smart Hospital Technologies. I graduated with first-class honors in B.Sc. Engineering from the University of Moratuwa. Previously, I gained valuable experience as a Software Engineer at Sysco LABS Technologies (Pvt.) Ltd.
Aug 2023 - Present
Sep 2017 - Aug 2022
May 2014 - Aug 2016
Jan 2008 - Dec 2013
University of Utah Aug. 2023 - Present
Advisor: Dr. Jason Wiese
University of Moratuwa Apr. 2021 - Jun. 2022
Advisors: Prof. Indika Perera (University of Moratuwa, LK), Lakmal Meegahapola (EPFL, CH) and Prof. Daniel Gatica-Perez (EPFL, CH)
Sysco LABS Technologies (Pvt.) Ltd. May 2022 - Aug 2023
Sysco LABS Technologies (Pvt.) Ltd. Oct. 2020 - Mar. 2021
W. Bangamuarachchi*, A. Chamantha*, L. Meegahapola*, S. Ruiz-Correa, I. Perera, D. Gatica-Perez; Sensing Eating Events in Context: A Smartphone-Only Approach; IEEE Access, vol. 10, 2022. [Link]
W. Bangamuarachchi*, A. Chamantha*, L. Meegahapola*, H. Kim, S. Ruiz-Correa, I. Perera, D. Gatica-Perez; Inferring Mood-While-Eating with Smartphone Sensing and Community-Based Model Personalization; ACM Trans. Comput. Healthcare 6, 3, Article 35 (July 2025). [Link]
W. Bangamuarachchi*, J. Dawson, J. Wiese; Hospital Administrator Perspectives on Integrating Novel Interactive Technology in the Hospital; ACM Trans. Comput. Healthcare [Under Review]
Investigated and showed that passive smartphone sensing features such as accelerometer, location, app usage, screen usage and battery usage can be used to detect eating and non-eating events in real life situations with a F1-score of 85.2%.
Conducted research on inferring mood-while-eating using smartphone sensing and self-reports. Showed that reasonable F1-scores of the range 75\%-81\% can be achieved for the three-class mood inference task (positive, neutral, negative) by using a novel user-level-community personalization technique.
Designed, developed and deployed a mobile application and ML models (General and personalized models) to detect eating events real-time by using users' behavior and context with the help of sensing features such as accelerometer, location, screen usage and battery usage. Collected real-world data from 12 participants during the pandemic period and observed the model performance.
Designed and developed an android mobile application to be used as research data collection app with the features such as: customize app to suit different project requirements, collect different types of data, view and download data and can be used offline and online.
Designed and developed a python library for CDR data analysis for call, message and antenna datasets. Functionalities: Data cleaning, data modeling and visualization.
Department of Computer Science and Engineering, University of Moratuwa, LK 2018 - 2022
Department of Computer Science and Engineering, University of Moratuwa, LK 2018 - 2022
Programming competition organized by IEEE, competed against 2500+ teams 2021
Programming competition organized by University of Moratuwa, LK, competed against 250+ teams 2021
Programming competition organized by IEEE, competed against 3000+ teams 2020
Programming competition organized by University of Moratuwa, LK, competed against 250+ team 2020
72 hours Hackathon organized by the Students’ Union of Faculty of IT, University of Moratuwa, LK, competed against 450+ teams 2020
Programming competition organized by Google 2020
Hackathon organized by IEEE Women in Engineering, LK 2019
Awarded to appreciate non-academic related outstanding performance of the undergraduates of University of Moratuwa, LK 2019
Programming competition organized by IEEE, competed against 3000+ teams 2019
Programming competition organized by University of Moratuwa, LK, competed against 250+ teams 2019
Programming competition organized by IEEE, competed against 3000+ team 2018
Programming competition organized by IEEE, competed against 3000+ team 2018
Physical Science Stream. Department of Examinations of the Ministry of Education, LK. Z-Score 2.2617 2016
Department of Examinations of the Ministry of Education, LK. 470,000+ candidates 2013