Skip to main navigation Skip to search Skip to main content
20182026

Research activity per year

Personal profile

Research Biography

Dr. Asara Senaratne is a Lecturer at 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.

Her professional memberships include being a Fellow of the Higher Education Academy (FHEA) and a Professional Member of the British Computer Society (MBCS). 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

20192024

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

20142018

Master of Business Administration, Cardiff Metropolitan University

20142016

Higher Education Qualification, British Computer Society

20112013

Supervision

  • Registered

Research Areas

  • Knowledge discovery, AI and data mining
  • Healthy start to life
  • Digital health

Supervisory Interests

  • Machine Learning
  • Artificial intelligence
  • Data Science
  • Semantic Web
  • Knowledge Graphs
  • Graph Data
  • Anomaly Detection
  • Data mining and knowledge discovery
  • Digital health
  • Digital health interventions
  • Health behaviour change
  • Industry 4.0
  • Data Engineering

Keywords

  • QA76 Computer software

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 4 - Quality Education
    SDG 4 Quality Education
  3. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  4. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Fingerprint

Dive into the research topics where Asara Senaratne is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles
  • ETCOD: Embedding-Based Anomaly Detection and LLM-Driven Validation Framework for Knowledge Graphs

    Nguyen, T. T. N., Senaratne, A. & Seneviratne, L., 2026, Data Science and Machine Learning: 23rd Australasian Conference, AusDM 2025 Brisbane, QLD, Australia, November 26–28, 2025 Proceedings. Nguyen, Q. V., Li, Y., Nayak, R., Kwan, P., Zhao, Y. & Boo, Y. L. (eds.). Singapore: Springer Nature Singapore, p. 454-469 16 p. (Communications in Computer and Information Science; vol. 2765 CCIS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Taxonomy of Anomaly Types in Knowledge Graphs

    Senaratne, A., Christen, P., Omran, P. & Williams, G., 2026, The Semantic Web: ESWC 2025 Satellite Events, Proceedings. Curry, E., McCrae, J., Presutti, V., Alam, M., Colpaert, P., Xavier Parreira, J., Collarana, D., Sabou, M., Harth, A. & Lisena, P. (eds.). Cham, Switzerland: Spinger, Vol. 15832. p. 151-155 5 p. (Lecture Notes in Computer Science; vol. 15832 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • COPE: Chronic Observation and Progression Events Ontology

    Senaratne, A., Seneviratne, O., Lim, H. Z. & Seneviratne, L., 2 Nov 2025, In: CEUR Workshop Proceedings. 4065, p. 72-86 15 p.

    Research output: Contribution to journalConference articlepeer-review

    Open Access
    File
    1 Citation (Scopus)
  • Data Atomization: A Framework for On-Demand Association and Access Control of Sensitive Data

    Seneviratne, L. & Senaratne, A., 26 Aug 2025, In: 2025 IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC). p. 2275-2280 6 p.

    Research output: Contribution to journalConference articlepeer-review

    2 Citations (Scopus)
  • Anomaly Detection and Classification in Knowledge Graphs

    Senaratne, A., Christen, P., Omran, P. & Williams, G., 6 Dec 2024, (Submitted) Arxiv, p. 1-37, 37 p.

    Research output: Working paper/PreprintPreprint

    File
    1 Downloads (Pure)