Dr Dakshi Kapugama Geeganage
Faculty of Science,
School of Information Systems
Biography
Dakshi joined QUT in 2017. From 2017 - 2021, she worked as a sessional academic while reading for her PhD in Data Science discipline.After submitting the thesis, in November 2021, Dakshi joined to School of Information Systems' Business Process Management (BPM) research group as a Research Fellow in Process Science.
Education :
2022: Doctor of Philosophy- Data Science, Queensland University of Technology, Brisbane, Australia.
2014: Master of Science in Artificial Intelligence, University of Moratuwa, Sri Lanka.
2010: Bachelor of Science (Special) Honors in Information Technology with a first-class, Sri Lanka Institute of Information Technology, Sri Lanka.
Research :
Dakshi mainly involves in text mining, topic modelling, natural language understanding and process mining.
Personal details
Positions
- Research Fellow in Process Science
Faculty of Science,
School of Information Systems
Qualifications
- PhD Data Science (Queensland University of Technology)
- MSc in Artificial Intelligence (University of Moratuwa)
Professional memberships and associations
Fellow of Higher education Academy (FHEA)
Experience
Jul 2017 - Oct 2021 : Sessional Academic, Queensland University of Technology, Brisbane
Jul 2019 - Oct 2021 : Sessional Lecturer, Federation University, Brisbane
Apr 2017- Jun 2017 : Senior Lecturer, Sri Lanka Institute of Information Technology, Sri Lanka
Jan 2011- Apr 2017 : Lecturer, Sri Lanka Institute of Information Technology, Sri Lanka
Selected publications
QUT ePrints
For more publications by Dakshi, explore their research in QUT ePrints (our digital repository).