
Creates a safe and inclusive space.
Patient, kind, and always approachable.
Brings passion and energy to teaching.
Inspires students to love their studies.
Brings passion and energy to teaching.
Dr. Pari Delir Haghighi is a Senior Lecturer in the Department of Human Centred Computing within the Faculty of Information Technology at Monash University. She earned her Doctor of Philosophy in Computing from Monash University in 2010 and her Bachelor of Computer Science (Honours) in 2004. Following the completion of her PhD, she was awarded a competitive Early Career Development Fellowship (ECDF) at Monash University. Pari Delir Haghighi has over 14 years of experience developing intelligent, context-aware mobile solutions for real-world problems, particularly in healthcare. She has worked closely with medical professionals and experts to design and develop innovative, personalised, and context-aware solutions for the real-time management and monitoring of chronic conditions and diseases. She introduced the first ontology for emergency management in mass gatherings (DO4MG), published in the Australian National Data Services library, and a new framework for developing and evaluating ontologies.
Her research interests include ubiquitous computing, context-aware computing, mobile health, mobile and intelligent decision support systems, and mobile and social sensing. She has received the 2020 Teaching Excellence Award Citation for Outstanding Contribution to Student Learning, the 2014 Teaching Excellence Award for Honours Supervision, and the Early Career Development Fellowship. Key publications include "Development of a patient decision aid in relation to imaging for rotator cuff tendinopathy: a mixed-methods study" (2025), "HYDRA: A Hyper Agent for Dynamic Compositional Visual Reasoning" (2025), "Social media mining in health research" (2025), "AR-Facilitated Safety Inspection and Fall Hazard Detection on Construction Sites" (2024), and "A Social Support-Enabled Mobile Health (mHealth) Application for Adolescent Depressive Symptomatology: Is it Usable and Feasible?" (2024). As Chief Investigator, she leads projects such as Real-time EH&S Intervention to Improve Site Safety (2023–2025), AI-powered Monitoring and Prediction to Improve Site Safety (2022–2025), and Context aware interventions for eating disorder prevention and improved body image (2022–2025). She serves as Chief Examiner and Lecturer for units including FIT5046 Mobile and distributed computing systems and was Organiser for the International Conference on Advances in Mobile Computing and Multimedia (2017, 2018, 2019).
Photo by Brett Jordan on Unsplash
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