STAFF PROFILE
Dr. Minh Dinh
Position:
Program Manager, Artificial Intelligence
College / Portfolio:
STEM College VN
School / Department:
VNM|School of Science,Engineering & Tech
Phone:
+842836224420
Email:
minh.dinh4@rmit.edu.vn
Campus:
Saigon South Campus
Contact me about:
Research supervision
- La, N.,Nguyen, C.,Dinh, M. (2021). Transformed Newtons method with a fixed-point iteration for highly nonlinear problems in structural mechanics In: Proceedings of the International Conference on Computational Methods 2021, Ho Chi Minh City, Vietnam, 04/07/2021 - 08/07/2021
- Nguyen, T.,Dinh, M. (2021). Applying Machine Learning to predict Hand-Foot-Mouth disease outbreaks in Vietnam In: Journal of Health Informatics in Developing Countries, 15, 1 - 14
- Dinh, M.,Dang, K. (2021). A Complete Text-Processing Pipeline for Business Performance Tracking In: Proceedings of the 32nd Australasian Conference on Information Systems (ACIS 2021), Sydney, Australia, 6-10 December 2021
- Phung, T.,Dinh, M.,Dang, D.,Van, H.,Thwaites, C. (2020). A Machine Learning-based Approach to Vietnamese Handwritten Medical Record Recognition In: Proceedings of the 31st Australasian Conference on Information Systems (ACIS 2020), Wellington, New Zealand, 1 - 4 December 2020
- Dinh, M.,Vo, C.,Abramson, D. (2020). Tracking scientific simulation using online time-series modelling In: Proceedings of the 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID 2020), Melbourne, Australia, 11-14 May 2020
- Dinh, M.,Nguyen, Q. (2020). Measurements of errors in large-scale computational simulations at runtime In: Proceedings of the 2020 RIVF International Conference on Computing and Communication Technologies, Ho Chi Minh, Vietnam, 14-15 October 2020
- Vo, C.,Dinh, M.,Dimla, E. (2020). Predicting Phase-field Behavior of Brittle Fracture Model based on LSTM Time Series Forecasting Model In: Proceedings of the 2020 RIVF International Conference on Computing and Communication Technologies, Ho Chi Minh City, Vietnam, 14-15 October 2020
- Dwyer, R.,Campbell, H.,Pillans, R.,Watts, M.,Lyon, B.,Guru, S.,Dinh, M.,Possingham, H.,Franklin, C. (2019). Using individual-based movement information to identify spatial conservation priorities for mobile species In: Conservation Biology, 33, 1426 - 1437
- Endrei, M.,Jin, C.,Dinh, M.,Abramson, D.,Poxon, H.,DeRose, L.,de Supinski, B. (2019). Statistical and machine learning models for optimizing energy in parallel applications In: International Journal of High Performance Computing Applications, 33, 1079 - 1097
- Endrei, M.,Jin, C.,Dinh, M.,Abramson, D.,Poxon, H.,DeRose, L.,de Supinski, B. (2018). A Bottleneck-centric Tuning Policy for Optimizing Energy in Parallel Programs In: Proceedings of the International Conference on Parallel Computing (ParCo2017), Bologna, Italy, 12-15 September 2017
1 PhD Current Supervisions