Publications
K Livingstone, J Rawstorn, L Alston, S Partridge, A Bastian, K Dullaghan, S McNaughton, G Hendrie, L Blekkenhorst, R Maddison, Y Zhang, S Barnett, J Mathers, S Godrich
(2024), Vol. 24, pp. 146-, BMC Public Health, England, C1
Katherine Livingstone, Jonathan Rawstorn, Stephanie Partridge, Yuxin Zhang, Eric O, Stephanie Godrich, Sarah McNaughton, Gilly Hendrie, Kate Dullaghan, Gavin Abbott, Lauren Blekkenhorst, Ralph Maddison, Scott Barnett, John Mathers, Laura Alston
(2024), Vol. 14, pp. 1-9, BMJ Open, London, Eng., C1
EEG datasets for seizure detection and prediction- A review
S Wong, A Simmons, J Rivera-Villicana, S Barnett, S Sivathamboo, P Perucca, Z Ge, P Kwan, L Kuhlmann, R Vasa, K Mouzakis, T O'Brien
(2023), Epilepsia Open, United States, C1
Toward a Unified mHealth Platform: A Survey of Current User Challenges and Expectations
B Philip, M Abdelrazek, S Barnett, A Bonti, J Grundy
(2023), Vol. 11, pp. 19876-19891, IEEE Access, Piscataway, N.J., C1
Digital behaviour change interventions to increase vegetable intake in adults: a systematic review
K Livingstone, J Rawstorn, S Partridge, S Godrich, S McNaughton, G Hendrie, L Blekkenhorst, R Maddison, Y Zhang, S Barnett, J Mathers, M Packard, L Alston
(2023), Vol. 20, International Journal of Behavioral Nutrition and Physical Activity, C1
K Huckvale, L Hoon, E Stech, J Newby, W Zheng, J Han, R Vasa, S Gupta, S Barnett, M Senadeera, S Cameron, S Kurniawan, A Agarwal, J Kupper, J Asbury, D Willie, A Grant, H Cutler, B Parkinson, A Ahumada-Canale, J Beames, R Logothetis, M Bautista, J Rosenberg, A Shvetcov, T Quinn, A MacKinnon, S Rana, T Tran, S Rosenbaum, K Mouzakis, A Werner-Seidler, A Whitton, S Venkatesh, H Christensen
(2023), Vol. 13, BMJ Open, C1
Sheng Wong, Anj Simmons, Jessica Villicana, Scott Barnett
(2023), Vol. 23, pp. 1-15, Sensors, Basel, Switzerland, C1
EEG based automated seizure detection - A survey of medical professionals
S Wong, A Simmons, J Rivera-Villicana, S Barnett, S Sivathamboo, P Perucca, P Kwan, L Kuhlmann, R Vasa, T O'Brien
(2023), Vol. 149, pp. 1-10, Epilepsy and Behavior, Amsterdam, The Netherlands, C1
Decentralized Federated Learning Strategy with Image Classification using ResNet Architecture
H Du, S Thudumu, S Singh, S Barnett, I Logothetis, R Vasa, K Mouzakis
(2023), pp. 706-707, CCNC 2023 : Proceedings 20th IEEE Consumer Communications and Networking Conference 2023, Las Vegas, Nev., E1
mHealthSwarm: A Unified Platform for mHealth Applications
Ben Philip, Yasmeen Alshehhi, Mohamed Abdelrazek, Scott Barnett, Alessio Bonti, John Grundy
(2023), Vol. 1, ENASE 2023 : Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering 2023, Prague, Czech Republic, E1
Cell2Doc: ML Pipeline for Generating Documentation in Computational Notebooks
T Mondal, S Barnett, A Lal, J Vedurada
(2023), pp. 384-396, ASE 2023 : Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering 2023, Kirchberg, Luxembourg, E1
MLGuard: Defend Your Machine Learning Model!
S Wong, S Barnett, J Rivera-Villicana, A Simmons, H Abdelkader, J Schneider, R Vasa
(2023), pp. 10-13, SE4SafeML 2023 : Proceedings of the 1st International Workshop on Dependability and Trustworthiness of Safety-Critical Systems with Machine Learned Components, Co-located with: ESEC/FSE 2023, San Francisco, California, E1
Data Collection Mechanisms in Health and Wellness Apps: Review and Analysis
Ben Philip, Mohamed Abdelrazek, Alessio Bonti, Scott Barnett, John Grundy
(2022), Vol. 10, pp. 1-13, JMIR mHealth and uHealth, Toronto, Ont., C1
MLSmellHound: A Context-Aware Code Analysis Tool
Jai Kannan, Jai Kannan, Scott Barnett, Scott Barnett, Luis Cruz, Luis Cruz, Anj Simmons, Anj Simmons, Akash Agarwal, Akash Agarwal
(2022), pp. 66-70, ICSE-NIER 2022 : Proceedings of the 44th 2022 ACM/IEEE International Conference on Software Engineering : New ideas and emerging results, Pittsburgh, Pennsylvania, E1
Towards Better mHealth Apps: Understanding Current Challenges and User Expectations
B Philip, M Abdelrazek, S Barnett, A Bonti, J Grundy
(2022), pp. 33-37, Proceedings - 9th IEEE/ACM International Conference on Mobile Software Engineering and Systems, MOBILESoft 2022, E1
I Logothetis, S Barnett, L Hoon, S Thudumu, J Mathew, C Luckhoff, G O'Reilly, D Collard, R Vasa, K Mouzakis, M Fitzgerald
(2022), pp. 431-432, e-Science 2022 : Proceedings of the 2022 IEEE 18th International Conference on e-Science, Salt Lake City, Utah, E1
A Framework for Evaluating MRC Approaches with Unanswerable Questions
H Du, S Thudumu, S Singh, S Barnett, I Logothetis, R Vasa, K Mouzakis
(2022), pp. 435-436, eScience 2022 : Proceedings of the 18th International Conference on e-Science and Grid Computing, Salt Lake City, Utah, E1
Subspace based Anomaly Detection Framework for Point Clouds
J Van Zyl, H Du, S Thudumu, I Logothetis, S Barnett, R Vasa, K Mouzakis
(2022), pp. 316-325, e-Science 2022 : Proceedings of the 2022 IEEE 18th International Conference on e-Science, Salt Lake City, Utah, E1
Emotions in Computer Vision Service QA
A Cummaudo, U Graetsch, M Curumsing, R Vasa, S Barnett, J Grundy
(2021), pp. 13-18, SEmotion 2021 : Proceedings of the IEEE/ACM 6th International Workshop on Emotion Awareness in Software Engineering, Madrid, Spain, E1
Towards a taxonomy for annotation of data science experiment repositories
S Sivasothy, S Barnett, N Fernando, R Vasa, R Sinha, A Simmons
(2021), pp. 76-80, SCAM 2021 : Proceedings of the IEEE 21st International Working Conference on Source Code Analysis and Manipulation, Luxembourg, E1
Interpreting cloud computer vision pain-points: a mining study of stack overflow
A Cummaudo, R Vasa, S Barnett, J Grundy, M Abdelrazek
(2020), pp. 1584-1596, ICSE 2020 : Proceedings of the 2020 ACM/IEEE 42nd International Conference on Software Engineering, Seoul, South Korea, E1
Threshy: Supporting Safe Usage of Intelligent Web Services
Alex Cummaudo, Scott Barnett, Rajesh Vasa, John Grundy
(2020), pp. 1645-1649, ESEC/FSE 2020 : Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Online, E1
A Cummaudo, S Barnett, R Vasa, J Grundy, M Abdelrazek
(2020), pp. 269-280, ESEC/FSE 2020 : Proceedings of the 28th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Online from United States of America, E1
A Simmons, S Barnett, J Rivera-Villicana, A Bajaj, R Vasa
(2020), pp. 1-11, ESEM '20: Proceedings of the 14th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, Bari, Italy, E1
Supporting multi-view development for mobile applications
Scott Barnett, I Avazpour, Rajesh Vasa, John Grundy
(2019), Vol. 51, pp. 88-96, Journal of computer languages, Amsterdam, The Netherlands, C1
S Barnett, K Huckvale, H Christensen, S Venkatesh, K Mouzakis, R Vasa
(2019), Vol. 21, Journal of Medical Internet Research, Canada, C1
Bootstrapping mobile app development
S Barnett, R Vasa, J Grundy
(2015), Vol. 2, pp. 657-660, ICSE 2015 : Proceedings of the 37th International Conference on Software Engineering, Firenze, Italy, E1-1
A multi-view framework for generating mobile apps
S Barnett, I Avazpour, R Vasa, J Grundy
(2015), pp. 305-306, VL/HCC 2015: Proceedings of the IEEE Visual Languages and Human-Centric Computing 2015 Symposium, Atlanta, Ga., E1-1
A Conceptual Model for Architecting Mobile Applications
S Barnett, R Vasa, A Tang
(2015), pp. 105-114, Proceedings - 12th Working IEEE/IFIP Conference on Software Architecture, WICSA 2015, Montreal, CANADA, E1-1
Funded Projects at Deakin
Australian Competitive Grants
ARC Research Hub for Digital Enhanced Living
Prof Kon Mouzakis, Prof Svetha Venkatesh, Prof Anthony Maeder, Prof Alison Hutchinson, Prof Michael Berk, Prof Ralph Maddison, Prof Abbas Kouzani, Prof Rajesh Vasa, Prof Helen Christensen, Prof Patricia Williams, Prof John Yearwood, Prof Susan Gordon, Prof David Powers, A/Prof Niranjan Bidargaddi, A/Prof Santu Rana, Prof Truyen Tran, Prof Sunil Gupta, Dr Wei Luo, A/Prof Mohamed Abdelrazek, Dr Felix Tan, Prof Henning Langberg, A/Prof Lars Kayser, Prof Finn Kensing, Prof Freimut Bodendorf, Prof James Warren, Dr Roopak Sinha, Prof A Smeaton, Mr Fonda Voukelatos, Mr John Fouyaxis, Prof John Grundy, Dr Kit Huckvale, Dr Leonard Hoon, David Varley, Nicole Cockayne, Dr Tanya Petrovich, Matthew Macfarlane, Dr Anju Kissoon Curumsing, Prof Deborah Parker, Dr Tom McClean, Dr Scott Barnett, Ms Sharon Grocott, Prof Jean-Guy Schneider, Prof Nilmini Wickramasinghe, A/Prof Carsten Rudolph, Dr Jessica Rivera Villicana, Mr Fernando Escorcia, Dr Gnana Bharathy
ARC Industrial Transformation Research Hubs
- 2024: $1,661
- 2023: $18,750
- 2021: $388,477
- 2020: $385,381
- 2019: $399,716
- 2018: $449,083
- 2017: $601,698
Other Public Sector Funding
Phase 2 - Sensor Based Triggering Device (SBTD)
Dr Scott Barnett, Prof Rajesh Vasa, Prof Kon Mouzakis
Department of Industry, Innovation and Science
- 2021: $49,537
BIG - Planogram Compliance.
Dr Srikanth Thudumu, Mr Hung Du, Dr Scott Barnett, Dr Rena Logothetis, Prof Rajesh Vasa, Prof Kon Mouzakis
Innovation Connections
- 2023: $49,965
BIG - Planogram Compliance Phase 2
Dr Srikanth Thudumu, Mr Hung Du, Dr Scott Barnett, Dr Rena Logothetis, Prof Rajesh Vasa, Prof Kon Mouzakis
Innovation Connections
- 2023: $49,657
Industry and Other Funding
ARC Research Hub for Digital Enhanced Living
Prof Kon Mouzakis, Prof Svetha Venkatesh, Prof Anthony Maeder, Prof Alison Hutchinson, Prof Michael Berk, Prof Ralph Maddison, Prof Abbas Kouzani, Prof Rajesh Vasa, Prof Helen Christensen, Prof Patricia Williams, Prof John Yearwood, Prof Susan Gordon, Prof David Powers, A/Prof Niranjan Bidargaddi, A/Prof Santu Rana, Prof Truyen Tran, Prof Sunil Gupta, Dr Wei Luo, A/Prof Mohamed Abdelrazek, Dr Felix Tan, Prof Henning Langberg, A/Prof Lars Kayser, Prof Finn Kensing, Prof Freimut Bodendorf, Prof James Warren, Dr Roopak Sinha, Prof A Smeaton, Mr Fonda Voukelatos, Mr John Fouyaxis, Prof John Grundy, Dr Kit Huckvale, Dr Leonard Hoon, David Varley, Nicole Cockayne, Dr Tanya Petrovich, Matthew Macfarlane, Dr Anju Kissoon Curumsing, Prof Deborah Parker, Dr Tom McClean, Dr Scott Barnett, Ms Sharon Grocott, Prof Jean-Guy Schneider, Prof Nilmini Wickramasinghe, A/Prof Carsten Rudolph, Dr Jessica Rivera Villicana, Mr Fernando Escorcia, Dr Gnana Bharathy
goAct, Aged Care & Housing Group Inc, Unisono Pty Ltd, Uniting AgeWell, NeoProducts Pty Ltd, Health Metrics, Black Dog Institute, Interrelate Limited, Dementia Australia (Alzheimer's Australia) Vic Inc, Cancer Council Victoria Grant - Research, Uniting NSW.ACT
- 2022: $793,130
- 2020: $553,025
- 2019: $378,745
Ultraviolet visualiser
Prof Kon Mouzakis, Prof Rajesh Vasa, Dr Scott Barnett, Dr Leonard Hoon
Cancer Council Victoria - Contract Research
- 2017: $20,000
Knowledge Graph Methodology Review and Assessment.
Dr Anj Simmons, Dr Rena Logothetis, Dr Scott Barnett, Prof Rajesh Vasa, Prof Kon Mouzakis
Surround Australia Pty Ltd
- 2021: $101,258
Phase 2 - Sensor Based Triggering Device (SBTD)
Dr Scott Barnett, Prof Rajesh Vasa, Prof Kon Mouzakis
M-View Live Video Pty Ltd
- 2021: $49,537
ESA: Support Matomo Integration
Dr Scott Barnett, Prof Rajesh Vasa, Prof Kon Mouzakis, Mr Stefanus Kurniawan
Education Services Australia Limited
- 2021: $47,140
Surround Phase 2 - Learning
Dr Scott Barnett, Dr Rena Logothetis, Mr Sankhya Singh, Mr Stefanus Kurniawan, Prof Rajesh Vasa
Surround Australia Pty Ltd
- 2022: $70,000
- 2021: $29,807
BIG - Planogram Compliance.
Dr Srikanth Thudumu, Mr Hung Du, Dr Scott Barnett, Dr Rena Logothetis, Prof Rajesh Vasa, Prof Kon Mouzakis
Brand Influence Group Pty Ltd
- 2023: $29,966
- 2022: $20,000
BIG - Planogram Compliance Phase 2
Dr Srikanth Thudumu, Mr Hung Du, Dr Scott Barnett, Dr Rena Logothetis, Prof Rajesh Vasa, Prof Kon Mouzakis
Brand Influence Group Pty Ltd
- 2023: $49,657
Telstra Fine Tuning For Answer Extraction
Dr Scott Barnett, Mr Zac Brannelly, Mr Stefanus Kurniawan, Mr David Willie
Telstra Corporation
- 2024: $37,000
- 2023: $37,000
Telstra - Evaluating Generative AI for Text-to-SQL
Dr Scott Barnett, Mr Zac Brannelly, Mr Sheng Fung Wong, Mr Stefanus Kurniawan
Telstra Corporation
- 2024: $74,500
Supervisions
Shangeetha Sivasothy
Thesis entitled: Context-Aware Information Search for Supporting Exploratory Programming
Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins
Ben Joseph Philip
Thesis entitled: Towards A Unified Platform for micro-mHealth Services
Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins
Andrew Simmons
Thesis entitled: Computational Pipelines for Spatio-Temporal Analysis of Team Invasion Games
Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins