STAFF PROFILE
Dr Tu Le
Position:
Lecturer in Mechatronics
College / Portfolio:
STEM College
School / Department:
STEM|School of Engineering
Phone:
+61399252216
Email:
tu.le@rmit.edu.au
Campus:
City Campus
Contact me about:
Research supervision
- Greaves, T.,Schaffarczyk McHale, K.,Burkart-Radke, R.,Harper, J.,Le, T. (2021). Machine learning approaches to understand and predict rate constants for organic processes in mixtures containing ionic liquids In: Physical Chemistry Chemical Physics, 23, 2742 - 2752
- Halgamuge, M.,Bojovschi, A.,Fisher, P.,Le, T.,Adeloju, S.,Murphy, S. (2021). Internet of Things and autonomous control for vertical cultivation walls towards smart food growing: A review In: Urban Forestry and Urban Greening, 61, 1 - 17
- Kadaoluwa Pathirannahalage, S.,Meftahi, N.,Elbourne, A.,Weiss, A.,McConville, C.,Padua, A.,Winkler, D.,Costa Gomes, M.,Greaves, T.,Le, T.,Besford, Q.,Christofferson, A. (2021). Systematic Comparison of the Structural and Dynamic Properties of Commonly Used Water Models for Molecular Dynamics Simulations In: Journal of Chemical Information and Modeling, 61, 4521 - 4536
- Le, T.,Penna, M.,Winkler, D.,Yarovsky, I. (2019). Quantitative design rules for protein-resistant surface coatings using machine learning In: Scientific Reports, 9, 1 - 12
- Yalcin, D.,Le, T.,Drummond, C.,Greaves, T. (2019). Machine Learning Approaches for Further Developing the Understanding of the Property Trends Observed in Protic Ionic Liquid Containing Solvents In: Journal of Physical Chemistry B, 123, 4085 - 4097
- Bojovschi, A.,Quoc, T.,Trung, H.,Quang, D.,Le, T. (2019). Environmental effects on HV dielectric materials and related sensing technologies In: Applied Sciences (Switzerland), 9, 1 - 15
- Le, T.,Tran, N. (2019). Using Machine Learning To Predict the Self-Assembled Nanostructures of Monoolein and Phytantriol as a Function of Temperature and Fatty Acid Additives for Effective Lipid-Based Delivery Systems In: ACS Applied Nano Materials, 2, 1637 - 1647
- Le, T.,Zhai, J.,Chiu, W.,Tran, P.,Tran, N. (2019). Janus Particles: Recent Advances in the Biomedical Applications In: International Journal of Nanomedicine, 14, 6749 - 6777
- Sarkar, S.,Tran, N.,Rashid, M.,Le, T.,Yarovsky, I.,Conn, C.,Drummond, C. (2019). Toward Cell Membrane Biomimetic Lipidic Cubic Phases: A High-Throughput Exploration of Lipid Compositional Space In: ACS Applied Bio Materials, 2, 182 - 195
- Thu, V.,Tien, B.,Nga, D.,Thanh, L.,Sinh, L.,Le, T.,Lam, T. (2018). Reduced graphene oxide-polyaniline film as enhanced sensing interface for the detection of loop-mediated-isothermal-amplification products by open circuit potential measurement In: RSC Advances, 8, 25361 - 25367
Materials science, machine learning, artificial neural networks, computational chemistry,
2 PhD Current Supervisions and 1 Masters by Research Current Supervisions
- Autonomous platform for remote aerosol-based threat neutralisation and soldier countermeasure therapeutics. Funded by: Defence Science Institute (DSI) Grant for Scholarships from (2018 to 2022)