DrMadhushi Bandara
Senior Lecturer
School of Computer Science
BIO
Dr. Madhushi Bandara is a Senior Lecturer in the School of Computer Science at University of Technology Sydney, Australia, driving teaching and innovation across artificial intelligence (AI) and software systems sectors. She joined UTS in 2020 as a postdoctoral researcher after completing her PhD at UNSW in AI systems engineering and resumed the continuing academic role in 2022. Madhushi is the Course Coordinator for Master of Technology Management (UTS Online) & Master of Technology Innovation (CinLearn) programs.
Madhushi is the Co-Director of UTS DigiSAS lab, and leads the data management research stream contributing to Research & Innovation in Data-intensive Digital Ecosystems. She is a core member of Biomedical Data Science Laboratory in the UTS Australian Artificial Intelligence Institute and the convenor for Future Generation Enterprise Architecture Community of Practice (FGEA CoP) that provids a platform to EA practitioners, researchers and thought leaders from government, higher education and industry to exchange innovative ideas and best practices for architecting and building human-centric AI, data and digital ecosystems.
Madhushi has established a national reputation as an expert in knowledge representation and complex system modelling using technologies such as machine learning and knowledge graphs. She has made significant theoretical and practical contributions to the field, by bringing the advancements in state-of-art AI/ML technologies to information systems in critical sectors such as healthcare and finance through harmonising contextual domain knowledge, data science and management practices, software engineering best practices and organisation business architecture. The synergy of her research and industry needs today enable her to attract industry partners and build long-term partnerships. She has worked with industry partners including Telstra, Cancer Australia, Capsifi, LIRNEasia, Landcom NSW and Cognitivo Consulting to design and deliver knowledge representation and data analytics solutions.
DEGREES
- PhDUniversity of New South Wales, Sydney, Australia4 Aug 2016 - 25 Jun 2020
- BSc (Hons), EngineeringUniversity of Moratuwa, Sri Lanka16 Jun 2010 - 1 May 2015
PROFILE TYPE
- Academic
AVAILABILITY
- Collaborative projects
- Industry Projects
- Mentoring (short-term)
- Masters Research or PhD student supervision