STAFF PROFILE
Kate Wang
Position:
Lecturer
College / Portfolio:
STEM College
School / Department:
STEM|Health and Biomedical Sciences
Phone:
+61399257907
Email:
kate.wang@rmit.edu.au
Campus:
Bundoora West
Contact me about:
Research supervision
Employment history
- 2020-present, Lecturer, School of Health and Biomedical Sciences, RMIT University, Australia
- 2017-present, Pharmacist, Alfred Health, Australia
- 2016-2019, Pharmacist, Chemist Warehouse, Australia
- 2016-2020, Teaching associate, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Australia
- 2015, Research assistant, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Australia
- 2014, Pharmacy intern, Amcal Pharmacy, Australia
Key teaching interests
- Pharmacy
Key research interests
- Primary health
- Pharmacy practice
- Digital health
- Geriatrics
- Pharmacoepidemiology
- PhD (Pharmacy Practice), 2020, Monash University, Australia
- BPharm Hons Class I (Pharmacy), 2014, University of Queensland, Australia
- Pharmacist (General Registration), Australian Health Practitioner Regulation Agency
Professional service
- 2021-present, National Representative (Victorian Early Career Pharmacist Working Group), Pharmaceutical Society of Australia
- 2021-present, Leader (Early Career Pharmacist Community of Special Interest Group), Pharmaceutical Society of Australia
Professional memberships
- Pharmaceutical Society of Australia
- Australian Association of Gerontology
- Australasian Pharmaceutical Science Association
- International Society for Pharmacoepidemiology
- Australasian Society of Clinical and Experimental Pharmacologists and Toxicologists
- Tawhid, N.,Siuly, S.,Wang, K.,Wang, H. (2023). Automatic and Efficient Framework for Identifying Multiple Neurological Disorders from EEG Signals In: IEEE Transactions on Technology and Society, , 1 - 11
- Chen, Y.,Han, S.,Chen, G.,Yin, J.,Wang, K.,Cao, J. (2023). A deep reinforcement learning-based wireless body area network offloading optimization strategy for healthcare services In: Health Information Science and Systems, 11, 1 - 12
- Pang, X.,Ge, Y.,Wang, K.,Traina, A.,Wang, H. (2023). Patient assignment optimization in cloud healthcare systems: a distributed genetic algorithm In: Health Information Science and Systems, 11, 1 - 12
- Liyanage, V.,Tao, M.,Park, J.,Wang, K.,Azimi, S. (2023). Malignant and non-malignant oral lesions classification and diagnosis with deep neural networks In: Journal of Dentistry, 137, 1 - 6
- Alvi, A.,Siuly, S.,Wang, H.,Wang, K.,Whittaker, F. (2022). A deep learning based framework for diagnosis of mild cognitive impairment In: Knowledge-Based Systems, 248, 1 - 9
- Tawhid, N.,Siuly, S.,Wang, K.,Wang, H. (2022). Textural feature based intelligent approach for neurological abnormality detection from brain signal data In: PLoS ONE, 17, 1 - 20
- Tawhid, N.,Siuly, S.,Wang, K.,Wang, H. (2022). Brain Data Mining Framework Involving Entropy Topography and Deep Learning In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13459 LNCS, 161 - 168
- Pang, X.,Ge, Y.,Wang, K. (2022). Genetic Algorithm for Patient Assignment Optimization in Cloud Healthcare System In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13705 LNCS, 197 - 208
- Lee, J.,Park, J.,Wang, H.,Feng, B.,Wang, K. (2022). Assessing the Utilisation of TELedentistry from Perspectives of Early Career Dental Practitioners - Development of the UTEL Questionnaire In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13705 LNCS, 189 - 196
- Lee, J.,Park, J.,Wang, K.,Feng, B.,Tennant, M.,Kruger, E. (2022). The Use of Telehealth in Australia During the Coronavirus (COVID-19) Pandemic for Medical Practitioners: A retrospective epidemiological analysis In: Asia Pacific Journal of Health Management, 17, 1 - 10
Optimising clinical outcomes
Medication optimisation and safety
Digital health or e-health
4 PhD Current Supervisions and 1 Masters by Research Current Supervisions
- Do Beliefs, Experiences and Literacy Influence Medicines Use?. Funded by: Australia-Korea Foundation Grant from (2022 to 2024)