I am a PhD candidate at the School of Computing and Information Systems, The University of Melbourne, where I am part of the Interaction Design Lab. I have previously worked as a Full-Stack Software Engineer, primarily focused on data engineering and analytics.
I am currently working at Amazon (AWS) as an Applied Scientist Intern. I also work as a tutor at the School of Computing and Information Systems and previously as the Manager of Usability Lab at the Interaction Design Lab, where I supported a wide range of HCI research projects.
Work as a tutor at School of Computing & Information Systems, Melbourne School of Engineering.
Usability Lab is a research facility at the Interaction Design Lab, School of Computing & Information Systems. I support a wide range of HCI research projects under my role.
Worked in the data and analytics team. Principal engineer of customer profiling project, a solution to gather customer insights from over 2000 restaurants. Also engaged with a real time ETL built using Apache Storm, a data warehouse for reports and data archival project.
Department of Computer Science and Engineering, Faculty of Engineering.
Integrated a data cleaning tool to WSO2 Machine Learner by creating data transformations in Apache Spark to enhance the data preprocessing capabilities of the platform.
Built an R extension for WSO2 Machine Learner to generate and execute machine learning algorithms in R. Created an application to monitor Jenkins build failures using WSO2 Complex Event Processor.
First Class. Specialized in Computer Science and Engineering
D. Hettiachchi, Z. Sarsenbayeva, F. Allison, N. van Berkel, T. Dingler, G. Marini, V. Kostakos, J. Goncalves (2020). "Hi! I am the Crowd Tasker" Crowdsourcing through Digital Voice Assistants. In Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems 2020 (CHI’20). [doi] [pdf]
D. Hettiachchi, N. van Berkel, S. Hosio, M. B. Lopez, V. Kostakos, J. Goncalves (2020). Augmenting Automated Kinship Verification with Targeted Human Input. In Proceedings of the Pacific Asia Conference on Information Systems 2020 (PACIS’20). [doi] [pdf]
D. Hettiachchi, N. van Berkel, S. Hosio, V. Kostakos, J. Goncalves (2019). Effect of Cognitive Abilities on Crowdsourcing Task Performance. Human-Computer Interaction (INTERACT’19). Lecture Notes in Computer Science, vol 11746. Springer, Cham. [doi] [pdf]
D. Hettiachchi, J. Goncalves (2019). Towards Effective Crowd-Powered Online Content Moderation. In Proceedings of the 31st Australian Conference on Computer-Human Interaction (OzCHI '19). ACM. [doi] [pdf]
D. Hettiachchi, N. van Berkel, T. Dingler, F. Allison, V. Kostakos, J. Goncalves (2019). Enabling Creative Crowd Work through Smart Speakers. In International Workshop on Designing Crowd-powered Creativity Support Systems (CHI’19 Workshop), 1-5. [doi] [pdf]
Z. Sarsenbayeva, N. van Berkel, D. Hettiachchi, W. Jiang, T. Dingler, E. Velloso, V. Kostakos, J. Goncalves (2019). Measuring the Effects of Stress on Mobile Interaction. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 3(1), 24:1-24:18. [doi] [pdf]
N. van Berkel, J. Goncalves , D. Hettiachchi, S. Wijenayake, R. M. Kelly, V. Kostakos (2019). Crowdsourcing Perceptions of Fair Predictors for Machine Learning: A Recidivism Case Study. Proceedings of the ACM on Human-Computer Interaction, 3 (CSCW), 28:1-28:21.[doi] [pdf]
Z. Sarsenbayeva, N. van Berkel, W. Jiang, D. Hettiachchi, V. Kostakos, J. Goncalves (2019). Effect of Ambient Light on Mobile Interaction. Human-Computer Interaction (INTERACT’19). Lecture Notes in Computer Science, vol 11748. Springer, Cham. [doi] [pdf]
Eranjith, H. M. D., Fernando, I. D., Fernando, G. K. S., Soysa, W. C. M., Jayasena, V. S. D. (2016). A visualization and analysis platform for performance tuning. In 2016 Moratuwa Engineering Research Conference (MERCon) (pp. 72–77). [doi] [pdf]