Scholar
Danushka Liyanage
Google Scholar ID: vSGvrDQAAAAJ
Postdoctoral Research Fellow, University of Sydney
Citations & Impact
Citations
58
H-index
3
i10-index
3
Publications
7
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- Invited to serve as a program committee member for FSE 2026; invited as an external reviewer to POPL 2025; publications include 'A Benchmark for Databases with Varying Value Lengths' (TPCTC - 2025), 'Assessing Reliability of Statistical Maximum Coverage Estimators in Fuzzing' (ICSME - 2025), and more.
Research Experience
- Over four years of industry experience as a Data Scientist, leading and contributing to projects in predictive modelling, optimisation, and time series forecasting across the telecommunications, retail, and apparel sectors. Adept at translating complex data into actionable business insights and building predictive and classification models using both conventional and machine learning approaches. Professional experience includes leading teams, mentoring analysts, and delivering enterprise-grade solutions that combine statistical rigor with practical impact.
Education
- Bachelor of Science degree from the University of Colombo, Sri Lanka, specialising in Industrial Statistics with first-class honours. In 2016, awarded the gold medal for the best student in Industrial Statistics.
Background
- Postdoctoral Research Fellow at the University of Sydney, specialising in automated software testing and database benchmarking. My research focuses on quantitative decision-making for automated software testing techniques and the development of rigorous benchmarking methodologies for modern data management systems. During my doctoral studies, I introduced statistical tools for evaluating and predicting the performance of automated software testing techniques.
Miscellany
- Contact: danushka.liyanage@sydney.edu.au
