Dr. Subuddhi Asara Senaratne, FHEA

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Personal profile

Research Biography

Dr. Asara Senaratne is a Lecturer with the College of Science and Engineering at Flinders University, where she specializes in anomaly detection, data visualization, and knowledge representation within the realm of Computer Science.

Her research interests predominantly focus on applying Artificial Intelligence (AI), Machine Learning (ML), and Data Science techniques to enhance data quality and knowledge discovery. This includes exploring innovative methods for anomaly detection in graphs, advancing industrial automation, and improving human-computer interactions. Currently, her research is centered on developing robust models for anomaly detection in diverse domains, including health data, the semantic web, cyberspace, and industrial and machine-generated data, thereby generating valuable insights for decision-making.

Previously, Asara worked as a Research Fellow at the Industrial AI Research Centre, University of South Australia, where she contributed to the FEnEx CRC project that aimed to develop open specifications for interoperable analytics, facilitating the digital transformation of industries, contributing to Industry 4.0.

Asara completed her PhD in Computer Science at the Australian National University (ANU), where her thesis titled "Anomaly Detection in Graphs for Knowledge Discovery and Data Quality Enhancement" garnered her the People’s Choice award at both the Visualize Your Thesis 2022 and the 3 Minute Thesis 2022 competitions. Her doctoral research involved pioneering methods for detecting anomalies in graph data to improve data integrity and uncover hidden patterns.

Her academic journey also includes a Master of Business Administration from Cardiff Metropolitan University and a B.Sc.(Hons) in Information Technology and Management from the University of Moratuwa, Sri Lanka. She was the valedictorian and received the gold medal for the highest overall GPA in her graduating class.

She has published numerous research papers in esteemed conferences and journals, with notable works including "Rule-Based Knowledge Discovery via Anomaly Detection in Tabular Data" and "SEKA: Seeking Knowledge Graph Anomalies." She is actively involved in the academic community, serving as a publicity chair and organizing committee member for the Australasian Data Science and Machine Learning (AusDM) conference.

Her professional memberships include being a Fellow of the Higher Education Academy and a professional member of the British Computer Society. Asara is committed to leveraging her expertise to drive forward the fields of AI, ML, and Data Science, with a particular emphasis on their application to real-world problems and industrial solutions.

Career Highlights

  • Research Fellow - Level B (July 2023 - June 2024)

Industrial AI Research Centre, University of South Australia, Mawson Lakes.

  • Academic Tutor and Teaching Fellow (July 2020 - May 2023)

College of Engineering, Computing and Cybernetics, Australian National University, Canberra.

  • Software Engineer (Dec 2016 - Oct 2019)

99X Technology, Colombo 03, Sri Lanka.

  • Visiting Lecturer in Computer Science (Jan 2013 - Oct 2019)

Esoft Metro Campus, Colombo 05, Sri Lanka

Education/Academic qualification

Doctor of Philosophy, Computer Science and Engineering, Australian National University


BSc. (Hons) Information Technology and Management (IT Faculty Batch Top in 2018), University of Moratuwa


Master of Business Administration, Cardiff Metropolitan University


Higher Education Qualification, British Computer Society


Research Areas

  • Knowledge discovery, AI and data mining

Supervisory Interests

  • Machine Learning
  • Artificial intelligence
  • Data Science
  • Semantic Web
  • Knowledge Graphs
  • Graph Data
  • Anomaly Detection
  • Data mining and knowledge discovery


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