Find Academic Supervisors

• Cognitive Science
• Quantum Theory in Information Modeling
• Learning Analytics
• +6 more

Kirsty Kitto is an Associate Professor at the University of Technology Sydney in the Learning Design and Technology Unit. With a background in theoretical physics and computer science, her research focuses on developing quantum-inspired models of contextuality to understand complex human behavior in educational systems. She explores the intersection of Artificial Intelligence (AI) , Learning Analytics , and Educational Theory , seeking to bridge the divide between big data and pedagogical frameworks. Current Appointments : Associate Professor (2020-present), Senior Lecturer (2017-2020) Past Academic Roles : Senior Research Fellow (QUT), Senior Lecturer (QUT), Associate Lecturer (Flinders University) Her funded research includes projects on: Quantum models in cognitive systems (ARC Fellowship DP1094974) AI literacy in digital workplaces (IEEE Transactions study) Contextual learning analytics (DVC Education and Students Division) Skills passports for lifelong learning (UMAP 2024 paper) Kitto's recent work examines human-AI interaction in writing assessment, data storytelling for teacher-centered analytics, and causal modeling to strengthen educational theory-data connections. She actively supervises Masters and PhD students and contributes to policy debates through government submissions on generative AI in education. Her methodology combines mathematical formalism with sociotechnical analysis to address educational complexity.

• Database Management
• Spatial-Textual Data Processing
• Heterogeneous Data Usability
• +6 more

Professor Zhifeng Bao is a faculty member at RMIT University's School of Computing Technologies. His research focuses on enhancing data usability across heterogeneous domains, including structured, unstructured, and spatial-temporal data. His work spans database management, keyword search optimization, social network analysis, and spatio-textual data processing. He coordinates the course COSC1169: Intranet and Internet Data Engineering and supervises PhD/Masters students in projects such as trajectory data processing, data asset valuation, and edge computing optimization. Research interests emphasize improving data accessibility and efficiency through methodologies like query relaxation, visual analytics, and provenance tracking. His recent projects include cost-effective edge node placement, traffic accident risk prediction, and differentially private federated learning. Teaching and supervision activities highlight a commitment to bridging theory and practical data engineering challenges.

• Geoinformatics
• Intelligence Informatics
• Geospatial Data Mining
• +7 more

Ickjai Lee is an Associate Professor at the School of IT, James Cook University, specializing in geoinformatics and intelligence informatics. He leads the Information Technology department and has held roles including Senior Lecturer and Lecturer since 2003. He obtained his PhD in 2002 from the University of Newcastle, Australia. Research Interests: Geospatial data mining, trajectory analysis, Voronoi tessellations, mobile AR, and IoT applications. Projects: Includes VR healthcare trials, AI-driven vehicle damage assessment, and environmental monitoring systems. His work focuses on applying machine learning and geospatial techniques to solve real-world problems in health, environmental, and urban domains. Notable achievements include best paper awards at international conferences and faculty citations for teaching excellence. He collaborates on interdisciplinary projects, such as using AR for marine growth monitoring and developing tools for crime pattern analysis. His research also involves large-scale ecoacoustic data analysis and VR-based education platforms. Lee has supervised numerous PhD students exploring topics like differential privacy in biokinetics, spatio-temporal anomaly detection, and VR in cultural heritage preservation.

Wen HuaView profile

Research Fellow

• Data Science
• Machine Learning
• Data Mining
• +5 more

Dr. Wen Hua is an Honorary Senior Research Fellow at the University of Queensland's School of Electrical Engineering & Computer Science. His research focuses on Data Science, Machine Learning, and Knowledge Graphs, with significant contributions to privacy-preserving techniques, neural network architectures, and trajectory analysis. He has co-authored over 80 peer-reviewed publications, including influential works on entity linking, meta-learning, and spatiotemporal data privacy. His work bridges theoretical advancements with practical applications in areas like recommendation systems, sentiment analysis, and information resilience. Key research interests include: Machine Learning and Deep Learning Privacy-Preserving Data Publishing Knowledge Graph Construction Text Mining and Natural Language Processing Spatiotemporal Trajectory Analysis Information Retrieval Systems Recent publications highlight trends in: Neural architectures for meta-learning and transformer-based systems Efficient algorithms for relation extraction and entity disambiguation Temporal and spatial data anonymization techniques Integration of knowledge graphs with text corpus analysis

Jane HunterView profile

Professor

• Semantic Web
• Data Integration
• eScience
• +3 more

Jane Hunter is an Honorary Professor in the School of Electrical Engineering and Computer Science at the University of Queensland. Her research focuses on semantic web technologies, data integration, and eScience, with significant contributions to ontology development, digital libraries, and environmental informatics. She leads projects such as OzTrack for animal tracking data and the 3D Water Atlas for groundwater visualization. Her work emphasizes interdisciplinary collaboration, leveraging semantic web principles to enhance data interoperability and decision-making in fields ranging from environmental science to healthcare. Her research interests include semantic annotation systems for cultural heritage, citizen science data management, and evidence-based policy frameworks using global indicators. Notable contributions include developing the Open Annotation Collaboration model and pioneering tools like MatSeek for materials scientists. She has collaborated internationally on initiatives such as the Health-e-Waterways project and the SKELETOME skeletal dysplasia knowledge platform. Jane has authored over 150 publications across journals like Hydrogeology Journal , Journal of Biomedical Informatics , and Ecological Informatics , reflecting her expertise in applying computational methods to complex scientific challenges. Her work bridges technical innovation with societal impact, addressing issues from biodiversity tracking to urban sustainability.

• Literature
• Biography
• Australian Studies
• +3 more

Karen Lamb is a Senior Lecturer affiliated with the School of Arts and Humanities at Australian Catholic University, within the Faculty of Education and Arts. Her work bridges literary studies and health geography, focusing on biographical narrative analysis and physical activity's health impacts. She has contributed to both literary criticism (e.g., biographies of Australian authors like Thea Astley) and public health research examining environmental factors influencing health outcomes. Research Interests include: Autobiographical writing techniques, Australian literary history, spatial analysis of public health, and methodological challenges in health research. Her interdisciplinary approach connects textual analysis with epidemiological studies. Key publications span 2005–2021, addressing topics from Peter Carey's narrative strategies to global positioning systems' equity implications in health studies. Her work demonstrates strong engagement with Australian cultural identity and evidence-based public health policy.