A centre of excellent researchers actively pursuing digital transformation for human society. Digital technology is the engine for innovation and human development. Consequently, there is a great need to better understand and more effectively implement digital transformation initiatives. Our goal is to make a positive impact in this direction. Our key research areas include smart applications and innovation, e-learning and digital health.
Centre for Digital Transformation
Themes, projects and researchers
Smart Application and Innovation
We build and maintain partnerships with all levels of government, public and private companies to co-design and co-develop smart applications that drive innovation for growth.
|
Year |
Project Team |
Research Project |
Funding Support and collaborator |
PhD candidates |
|
2019-2022 |
Jun Shen |
Research on the Edge Computing Execution Framework and Optimization Mechanism for Deep Learning Application |
NSFC 2019-2022 (61872079), CNY 640,000 awarded Southeast University, NISCO |
Fucun Li, Jianqing Wu, Fei Xie |
|
2018-2019 |
Jun Shen, Geng Sun |
Tackling e-Learning and Bioinformatics Applications with Surrogate-Assisted Evolutionary Computation |
UGPN, USD20,000 University of Surrey |
Huaming Chen |
|
2018 |
Jun Shen |
Cost-effective PHPPI prediction, |
UOW EIS Strategic Investments Grant for DP 2019 development, $10,000 Monash University, CSIRO |
Huaming Chen |
|
2016-2019 |
Jun Shen |
Research on the Resource Optimization Mechanism for Large-Scale Graph Processing in Cloud Environment, |
NSFC 2016-2019 (61572129), CNY 750,000 Southeast University |
Fei Xie |
|
2018 |
Jun Shen, Tingru Cui, Ping Yu |
Multi-National Research Collaboration on Data Driven Innovative Transformation |
UIC near miss, $5000 Southeast University, Zhejiang University, OSU |
|
|
2017-2020 |
Jun Shen, Tingru Cui |
Strategic IT and business alignment in Saudi Arab public sector |
Saudi Arab Government PhD scholarship |
Abdulaziz Suliman A AlGhazi |
|
2014-2017 |
Jun Shen |
Adoption of cloud computing in SMW |
Oman government PhD scholarship |
Salim Alismaili |
|
2018-2021 |
Jun Shen |
Machine learning based steel production quality control |
IPTA/RTS scholarship NISCO |
Fucun Li |
|
2017-2020 |
Jun Shen, Lei Wang |
Human pathogen protein interactions prediction |
CSC scholarship Monash University, CSIRO |
Huaming Chen |
|
2017-2021 |
Jun Shen, Luping Zhou |
Mobility as a service |
CSC scholarship, CSIRO internship, Sydney Trains internship |
Jianqing Wu |
|
2017-2021 |
Jun Shen, Jun Yan |
Data duplication in federated cloud |
|
Fei Xie |
e-Learning |
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2018-2020 |
Jun Shen, Tingru Cui, Geng Sun |
Taking Advantage of Invaluable Fragmented Time with Smart Micro Learning on Open Education Resources |
ARC DP $362,666 University of Queensland, MIT |
Jiayin Lin, Timothy Jackson, Seyedeh Arefe Pourazarsa, Mahesh Kayastha |
|
2019-2022 |
Jun Shen, Geng Sun |
Research on AI supported Adaptive Micro Learning |
NSFC, CNY 460,000 Southwest University |
Jiayin Lin |
|
2018-2019 |
Jun Shen, Geng Sun |
Tackling e-Learning and Bioinformatics Applications with Surrogate-Assisted Evolutionary Computation |
UGPN, USD20,000 University of Surrey |
Huaming Chen |
|
2018 |
Jun Shen, Tingru Cui, Ping Yu |
Multi-National Research Collaboration on Data Driven Innovative Transformation |
UIC near miss $5000 |
|
|
2015 |
Jun Shen, Tingru Cui |
Adaptive cloud based mobile learning for the Massive Open Online Course |
Strategic Partner Research, $16,838 Xinyue Co., CSIRO |
Geng Sun |
|
2017 |
Tingru Cui, Jun Shen |
Adaptive and Effective Open Online Courses for Mobile and Team Learners |
EIS Seed Grant $11,073 University of Queensland, MIT |
Geng Sun |
|
2015-2018 |
Jun Shen, Tingru Cui |
Micro Learning and a Service |
IPTA/RTS scholarship CSIRO |
Geng Sun |
Digital HealthWe’re passionate in connecting and empowering health and aged care via digital R&D. |
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|
2019-2020 |
Ping Yu, Lorna Moxham, Annette Braunack-Mayer, David Hailey, Bo Du etc. |
Age friendly Illawarra, What does it look like? A scoping study
|
UOW Global Challenge Seed Fund $14,944 |
Ting Song |
|
2019-2020 |
Ping Yu, Bruce Ashford, etc. |
Operatory theatrics: A day in the life of an operating theatre |
IHMRI Health Analytics Initiative $29,743 |
|
|
2019-2020 |
Kate Curtis, Ping Yu, etc. |
Implementation evaluation of an early activation hip fracture care bundle to improve outcomes of frail older persons (eHIP) |
IHMRI Health Analytics Initiative $29,995 |
|
|
2018-2020 |
Natalie Smith, Ping Yu, Tingru Cui, etc. |
Pilot trial: Can a mobile health coaching program improve fitness for surgery in patients with obesity? |
IHMRI Translational Research Grant $24,000 |
Ting Song, Nadeesha Thilakarathne |
|
2017-2018 |
Ping Yu, Wilf Yeo, David Reid, Siyu Qian, etc. |
Alcohol-related morbidity within a hospital setting – mapping the patient journey |
IHMRI Industry Partnership Grant $19,680 |
|
|
2016-2021 |
Xiaoqi Feng, Thomas Astell-burt, ..., Ping Yu |
Greener cities healthier lives: Measuring the wider social benefits. |
Horticulture Innovation Australia Limited. $881,654 |
Eme John |
|
2016-2017 |
Ping Yu, Wilf Yeo, David Reid, Siyu Qian, etc. |
Disclose the “Invisible” alcohol-related morbidity in Emergency Department presentations to Wollongong Hospital |
UOW Global Challenge Seed Funding + Illawarra & Shoalhaven Local Health District $30,000 |
|
|
2015-2016 |
Ping Yu, Esther Munyisia, David Hailey |
A preliminary model for the implementation of electronic health records in Drug & Alcohol Services |
EIS Faculty Industry Linkage Grant + Illawarra & Shoalhaven Local Health District $15,000 |
|
|
2015-2016 |
Ping Yu |
ARC Near-miss grant. |
EIS Faculty $12,000 |
|
|
2017-2021 |
Ping Yu, Tingru Cui, Siyu Qian |
To develop and evaluate a success model of mobile health interventions for consumer self-management of hypertension |
UOW Matching Scholarship |
Ting Song |
|
2019-2022 |
Ping Yu, Jun Shen |
Developing machine learning algorithms in predicting weight gain or loss |
Saudi Arab Government PhD scholarship |
Mohammad Alkhalaf |
|
2019-2022 |
Ping Yu, Tingru Cui, David Hailey |
Understanding and predicting patient acceptance and use of an inpatient portal in a tertiary hospital in Saudi Arabia |
Saudi Arab Government PhD scholarship |
Bader Alshoumr |
|
2012-2019 |
Ping Yu, David Hailey, Tingru Cui |
Developing methods to assess data collection process for public health information systems |
|
Hong Chen |
|
2015-2019 |
Yasmin Probst, Ping Yu, Allison Martin |
Exploring current data management within clinical research settings |
UOW PhD scholarship |
Lauren Houston |
|
2019-2021 |
Ping Yu, Guoxin Su, Chao Deng, Siyu Qian |
Modelling the journey of patients with alcohol use disorder in Illawarra and Shoalhaven Local Health District |
|
Jingxiang Zhang |
|
2019-2021 |
Ping Yu, Lei Wang |
An ontology for risk profiling of older people in residential aged care |
|
Mengyang Yin |
|
2018-2020 |
Ping Yu, Jun Shen |
Evaluating the quality of dementia websites |
|
Yunshu Zhu |
|
2019-2024 |
Ping Yu |
Machine learning use Electronic Medical Data for disease prediction |
Sri Lanka Sponsorship + UOW Matching Scholarship |
Nadeesha Thilakarathne |