Lakmal Buddika Meegahapola
Fields of expertise
Ubiquitous & Mobile Computing
Applied Machine Learning
Applied Machine Learning
Biography
I'm a 1st year Ph.D. Student at École polytechnique fédérale de Lausanne (EPFL) and a Research Assistant in Social Computing Group at Idiap Research Institute advised by Prof. Daniel Gatica-Perez. I'm interested and experienced in using Data Science and Analytics, Machine Learning for research in areas such as Ubiquitous & Mobile Computing.
Before moving to Switzerland, I worked as a Research Engineer at Ubiquitous & Mobile Computing Group at SMU-CMU Living Analytics Research Centre, School of Information Systems, Singapore Management University, Singapore advised by Prof. Archan Misra.
I got my BSc in Engineering (Computer Science and Engineering) with a 1st class from the University of Moratuwa, Sri Lanka.
Before moving to Switzerland, I worked as a Research Engineer at Ubiquitous & Mobile Computing Group at SMU-CMU Living Analytics Research Centre, School of Information Systems, Singapore Management University, Singapore advised by Prof. Archan Misra.
I got my BSc in Engineering (Computer Science and Engineering) with a 1st class from the University of Moratuwa, Sri Lanka.
Current work
I am currently part of the large-scale EU Project "WeNet - The Internet of Us". My work revolves around using diversity-aware machine learning for rich mobile sensing data.
Education
PhD
Mobile Computing
EPFL, Switzerland
2019-2023
BSc Engineering (Hons)
Computer Science & Engineering
University of Moratuwa, Sri Lanka
2014-2017
Publications
Selected publications
| Thivya Kandappu, Abhinav Mehrotra, Archan Misra, Mirco Musolesi, Shih-Fen Cheng, Lakmal Buddika Meegahapola ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR) 2020 |
PokeME: Applying Context-Driven Notifications to Increase Worker Engagement in Mobile Crowd-sourcing |
| V.G. Mallawaarachchi, L. Meegahapola, R.M. Alwis, E.H. Nimalarathna, D. Meedeniya, S. Jayarathne ACM Computing Surveys (CSUR) |
Change Detection and Notification of Webpages: A Survey |
| L. Meegahapola, N. Athaide, K. Jayarajah, S. Xiang, A. Misra IEEE Intelligent Transportation Systems Conference (ITSC) 2019 |
Inferring Accurate Bus Trajectories from Noisy Estimated Arrival Time Records |
| L. Meegahapola, T. Kandappu, K. Jayarajah, L. Akoglu, S. Xiang, A. Misra ACM International Conference on Mobile Systems, Applications, and Services (MobiSys) 2019 |
BuSCOPE: Fusing Individual & Aggregated Mobility Behavior for ``Live'' Smart City Services |
| K. Jayarajah, V. Subbaraju, N. Athaide, L. Meegahapola , A. Tan, and A. Misra SPIE Defence + Commercial Sensing 2018 |
Can Multimodal Sensing Detect and Localize Transient Events? |
| L.B. Meegahapola, R.M. Alwis, E.H. Nimalarathna, V.G. Mallawaarachchi, D. Meedeniya, S. Jayarathne ACM International Conference on Software and Computer Applications (ICSCA) 2018 |
Random Forest Classifier based Scheduler Optimization for Search Engine Web Crawlers |
| L.B. Meegahapola, I. Perera IEEE International Conference of Advances in ICT for Emerging Regions (ICTer) 2017 |
Enhanced in-store shopping experience through smart phone based mixed reality application |
| M. Vidanapathirana, L.B. Meegahapola, I. Perera IEEE Future Technologies Conference (FTC) 2017 |
Cognitive Analysis of 360 Surround Photos |