CV

Education

• B.Sc.(Hons) in Computer Science and Engineering, University of Moratuwa, 2013
• M.Sc. in Computer Science and Engineering, University of Moratuwa, 2019

Work experience

• 2018-Present: Senior Researcher
• 2016-2018: Researcher
  • LIRNEasia
  • Duties included: Developing spatio-temporal forecasting model for dengue propagation, Maintaining Spark/Hadoop cluster
• 2015-2016: Senior Software Engineer
• 2013-2015: Software Engineer
  • WSO2 Inc
  • Duties included: Design and development of Complex Event Processor for WSO2 middleware stack

Programming Languages and Technologies

• Programming Langugages
  • Java, Scala, C, C++, Eiffel, Scheme
  • R, SQL
  • PHP, Javascript, Groovy
• Familiarity of codebase (for platform integratiion tasks)
  • Apache Spark, Storm, Hadoop, Hive, Cassandra
• Experience in using
  • Apache Thrift, Zookeeper, Pig
  • Hazelcast
• Other technologies
  • SOAP/REST web services
  • OSGi, Eclipse plugin development
  • JSP, Struts, Hibernate, Grails, CakePHP

Publications

Impact of Human Mobility on Spread of Dengue in Sri Lanka

Fernando, L., Perera, A. S., Lokanathan, S., Ghouse, A., & Tissera, H. (2017). Impact of Human Mobility on Spread of Dengue in Sri Lanka. In Book of Abstracts (Oral) of 5th International Conference on Scientific Analysis of Mobile Phone datasets (NetMob) (pp. 75–77). Milan, Italy

Predictive model for the dengue incidences in Sri Lanka using mobile network big data

Dharmawardana, K. G. S., Lokuge, J. N., Dassanayake, P. S. B., Sirisena, M. L., Fernando, M. L., Perera, A. S., & Lokanathan, S. (2017, December). Predictive model for the dengue incidences in Sri Lanka using mobile network big data. In Industrial and Information Systems (ICIIS), 2017 IEEE International Conference on (pp. 1-6). IEEE

Predicting population-level socio-economic characteristics using Call Detail Records (CDRs) in Sri Lanka

Fernando, L., Surendra, A., Lokanathan, S., & Gomez, T. (2018, June). Predicting population-level socio-economic characteristics using Call Detail Records (CDRs) in Sri Lanka. In Proceedings of the Fourth International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets (p. 1). ACM.

Research Projects

Spatio-temporal forecasting of dengue outbreaks

Predicting population level socio-economic characteristics using call detail records (CDRs)

Privacy-preserving CDRs from mobile phone subscriber profiles

Predicting migration from the ego network of a mobile phone subscriber

Teaching

Supervisor - Final Year Undergraduate Projects

Teaching Assistant - Undergradute Courses

Visiting Lecturer - Undergraduate Courses

Guest Lecturer - Graduate Courses