Rate My Professor Agnes Haryanto

Dr. Agnes Haryanto serves as a Research Fellow in the Embodied Visualisation Group at the Faculty of Information Technology, Department of Human Centred Computing, Monash University, Australia. She obtained her PhD from Monash University in 2019, with her thesis titled "Finding Best Paths in Spatio-Textual Queries," focusing on spatial and graph databases, particularly efficient spatial keyword indices for path queries on road networks. With more than five years of experience in tertiary education and research, Dr. Haryanto has delivered lectures in several advanced information technology courses, including FIT3003 Business Intelligence and Data Warehousing, FIT3176 Advanced Database Design, FIT5136 Software Engineering, FIT5137 Advanced Database Technology, and FIT5195 Business Intelligence and Data Warehousing.

Dr. Haryanto's research interests span Big Data Management, Data Engineering, Geospatial Databases, and Health Informatics. Her current work involves designing and evaluating live streaming clinical analytics and reporting dashboards to support quality improvement and hospital accreditation in Australian digital hospitals. She is the Chief Investigator for the project "A digital health intervention to provide individualised feedback on pathology requesting practices of Emergency Department clinicians," funded by the Australian Department of Health, Disability and Ageing, spanning April 2023 to June 2026. Her contributions align with UN Sustainable Development Goals such as Good Health and Well-being (SDG 3), Reduced Inequalities (SDG 10), and Partnerships for the Goals (SDG 17). Notable publications include "Creating a data warehouse to support monitoring of NSQHS blood management standard from EMR data" (2024, BMC Medical Informatics and Decision Making, with Cheng-Zarate et al.), "An exploratory study of electronic medical record implementation and recordkeeping culture: the case of hospitals in Indonesia" (2025, BMC Health Services Research, with Hossain et al.), "A blueprint for large language model-augmented telehealth for HIV mitigation in Indonesia: A scoping review of a novel therapeutic modality" (2025, Health Informatics Journal, with Busch et al.), "IG-Tree: an efficient spatial keyword index for planning best path queries on road networks" (2019, World Wide Web-Internet and Web Information Systems, with Islam et al.), and "Group reverse kNN query optimisation" (2015, Journal of Computational Science, with Taniar et al.). Her scholarly work has been cited over 100 times according to Google Scholar. Additionally, she has engaged in media outreach, including the article "From Data to Action" in 2025.