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Professor Jeffrey Soar

Professor Jeffrey Soar
Name Jeffrey Soar
Position Professor and Chair in Human-Centred Technology
Section School of Business
Office A521-B
Location Springfield Campus
Phone +61 7 3470 4831
Extension 4831
Email
Qualifications BA(Hons) Monash , GDipEd HawthorneInstEd , GDipCommDataProc RMIT , MEd La Trobe , PhD NSWUT
Languages French (non accredited translator)

Prof Soar came to academia from industry where he held the most senior executive/CIO/IT Director roles for NZ Police, NZ Ministry of Health, NSW Health and Dept Veterans Affairs. In a period of consulting his clients included federal Dept Health, Qld Health, NSW Health, Fiji Ministry of Health, Solomon Islands Government, Al Ahli Hospital Qatar and others. His research has been focused on ICT including AI for health and independent living. He has more recently returned to his original field of study, Agricultural Science, and is working on ICT enabled alternative proteins.


Fields of Research (FoR)

  • Public Health and Health Services not elsewhere classified ( 111799 )
  • Information Systems not elsewhere classified ( 080699 )
  • Information Systems not elsewhere classified ( 460999 )
  • Information Systems ( 460900 )

Research interests
Professor Soar has over 200 publications and other papers, posters, abstracts and commissioned reports to governments; he has given over 40 sponsored and invited key-note addresses at national and international events; and has attracted support from 7 ARC grants, 4 Advance Qld and over 30 other grants to support his research.
His research interests include:
- Future Food/AI-enabled vegan protein production
- smart homes and intelligent assistive technologies
- AI-enabled care and other services.

Professional memberships
Fellow of the Australian Computer Society
Fellow of the Australasian College of Health Informatics

USQ Research affiliations

  • Institute for Resilient Regions (IRR)
  • Centre for Health, Informatics and Economic Research (CHIER)

Currently teaching courses/programs
Undergraduate and coursework:
Business Analysis; Systems Analysis & Design; Agile Methods.

Post-graduate research supervision, current topics include:
• vegan choice decision-making
• consumer food safety practice awareness
• blockchain in Agriculture
• gaps in AT provision for seniors
• Virtual Reality for falls reduction amongst seniors
• AI-enhanced clinical decision-making
• trust factors in AI in banking
• primary-secondary information integration
• AI air quality prediction
• AI for renewable energy management
• AI UV Prediction
• AI-enabled student enrolment
• AI recommender system

Teaching experience(Tertiary)
20 Years

Teaching experience(Other)
5 Years

Administrative responsibilities
Personal Chair Human-Centred Technology

Research most recent
recent papers can be found at:
https://eprints.usq.edu.au/view/uniqueauthor/


Research most notable
Professor Soar's most notable research outcomes include:
- establishing the Queensland Smart Home Initiative, and
- building the SAIL (Smart Ageing & Independent Living) research consortium.


Publications in ePrints

Wu, Robert M. X. and Zhang, Zhongwu and Yan, Wanjun and Fan, Jianfeng and Gou, Jinwen and Liu, Bao and Gide, Ergun and Soar, JeffreyORCID: https://orcid.org/0000-0002-4964-7556 and Shen, Bo and Fazal-e-Hasan, Syed and Liu, Zengquan and Zhang, Peng and Wang, Peilin and Cui, Xinxin and Peng, Zhanfei and Wang, Ya (2022) A comparative analysis of the principal component analysis and entropy weight methods to establish the indexing measurement. PLoS One, 17 (1):e0262261. pp. 1-26.

Prasad, Salvin S. and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 and Downs, NathanORCID: https://orcid.org/0000-0002-3191-6404 and Igoe, Damien and Parisi, Alfio V.ORCID: https://orcid.org/0000-0001-8430-8907 and Soar, JeffreyORCID: https://orcid.org/0000-0002-4964-7556 (2022) Cloud Affected Solar UV Predictions with Three-Phase Wavelet Hybrid Convolutional Long Short-Term Memory Network Multi-Step Forecast System. IEEE Access. pp. 1-18.

Zhong, Yuankun and Li, Xiaoquan and Jiang, Juju and Liang, Siting and Yang, Zhiwen and Soar, JeffreyORCID: https://orcid.org/0000-0002-4964-7556 (2022) Inhibition of Four Inert Powders on the Minimum Ignition Energy of Sucrose Dust. Processes, 10 (2):405. pp. 1-12.

Jui, S. Janifer Jabin and Ahmed, A. A. Masrur and Bose, Aditi and Raj, NawinORCID: https://orcid.org/0000-0002-8364-2644 and Sharma, Ekta and Soar, JeffreyORCID: https://orcid.org/0000-0002-4964-7556 and Chowdhury, Md Wasique Islam (2022) Spatiotemporal Hybrid Random Forest Model for Tea Yield Prediction Using Satellite-Derived Variables. Remote Sensing, 14 (3):805. pp. 1-18.

Jiang, Juju and Li, Xiaoquan and Liang, Siting and Zhong, Yuankun and Yang, Lei and Hao, Peng and Soar, JeffreyORCID: https://orcid.org/0000-0002-4964-7556 (2022) Study of Parameters and Theory of Sucrose Dust Explosion. Energies, 15 (4):1439. pp. 1-13.

View full listing in ePrints