Visualise your thesis
The Visualise Your Thesis TM (VYT) is an international competition for graduate researchers developed by The University of Melbourne. The competition is not running in 2026.
Thank you to all graduate researcher who participated in previous years.
For questions, contact the Researcher Education and Development team.
Looking for another way to showcase your research communication skills? Join the Reel Research competition - a new opportunity to create engaging short-form digital content and compete for prizes. Learn more and register through The Engaged Researcher program.
2025 Grand Final results
The Deakin University Three Minute Thesis (3MT) and Visualise Your Thesis (VYT) Grand Final was held on 12 August in Melbourne CBD. It provided an entertaining afternoon that showcased our brilliant research students competing to be the best at research communication.
Watch all the 2025 VYT presentations on our Deakin Research YouTube channel.
Deakin 2025 VYT winners
Winner
Bill Lam, Faculty Health, School of Exercise and Nutrition Sciences
'From Evidence to Practice: Developing an Online Healthy and Sustainable Nutrition Program for Young Adults'
Bill's winning VYT presentation progressed through to the international round of the competition.
Runner-up
Echo Zhou, Faculty Science Engineering and Built Environment, School of Information Technology
'AI for Missing Data Recovery'
People's choice
Madison Bone, Faculty Science Engineering and Built Environment, School of Life and Environmental Sciences
'Flystrike: A pain in your rear?'
Deakin 2025 VYT cohort
Finalists
- Kee Anitha Gireesh - Ionic-Polymeric Mixtures as a Functional Binders for Solid-State Silicon Anodes
- Sinali Weerasekara Kodithuwakkuralalage - Food at school; more than a meal, it’s their future
- Echo Zhou - AI for Missing Data Recovery
- Bill Lam - From Evidence to Practice: Developing an Online Healthy and Sustainable Nutrition Program for Young Adults
- Maddy Bone - Flystrike: A pain in your rear?
- Amanda Goonathilaka - Integration of Analytical Methods for Comprehensive Analysis of Australian Waste Biomass
Entrants
- Pavani Sandeepani Halpelage - Lost Motivation? Let’s Reignite It in the Science Classroom
- Norbert Henseler - Long-term privacy with Verifiable Credentials
- Tahsin Alamgir Kheya - Pride in Precision, Prejudice, in Prediction: Bias and Stereotyping in Recommendation Systems
- Israt Parveen - Drain to Gain: Turning dirty water into golden drops
- Claire Elizabeth Emson - Development of Air-Liquid Interface Culture Systems to Investigate Influenza Pathogenesis
- Gayani Jayasuriya Patabandige - Data Democratization through Self-service Analytics
- Liam James Ball - How do we teach sustainability in engineering and why does it matter?
- Aayushma Pant - Hyperspectral Anomaly Detection
Finalists
- Kee Anitha Gireesh - Ionic-Polymeric Mixtures as a Functional Binders for Solid-State Silicon Anodes
- Sinali Weerasekara Kodithuwakkuralalage - Food at school; more than a meal, it’s their future
- Echo Zhou - AI for Missing Data Recovery
- Bill Lam - From Evidence to Practice: Developing an Online Healthy and Sustainable Nutrition Program for Young Adults
- Maddy Bone - Flystrike: A pain in your rear?
- Amanda Goonathilaka - Integration of Analytical Methods for Comprehensive Analysis of Australian Waste Biomass
Entrants
- Pavani Sandeepani Halpelage - Lost Motivation? Let’s Reignite It in the Science Classroom
- Norbert Henseler - Long-term privacy with Verifiable Credentials
- Tahsin Alamgir Kheya - Pride in Precision, Prejudice, in Prediction: Bias and Stereotyping in Recommendation Systems
- Israt Parveen - Drain to Gain: Turning dirty water into golden drops
- Claire Elizabeth Emson - Development of Air-Liquid Interface Culture Systems to Investigate Influenza Pathogenesis
- Gayani Jayasuriya Patabandige - Data Democratization through Self-service Analytics
- Liam James Ball - How do we teach sustainability in engineering and why does it matter?
- Aayushma Pant - Hyperspectral Anomaly Detection