and renewable energy generation. Furthermore, this project will develop an AI-assisted optimization framework for real-time management of EV charging (G2V) and discharging (V2G). Game-theory-based pricing mechanisms and AI-assisted Mixed-Integer Linear Programming (MILP) will be combined to balance user incentives, battery degradation costs, and computational efficiency. The framework will be validated using real-world EV charging, building load, and solar generation data from Malaysia’s commercial and industrial sectors, in collaboration with EV and Solar industry partners.
For enquiries, please contact Dr Tan Wen Shan
For more information about this project, please visit our GEMS website.
How to Apply
When you apply for admission into your preferred degree program you will be able to select your scholarship type. No separate application is required.
By clicking on a course, you will be directed to further information, including details on ‘How to Apply’.
However, before applying for a GEMS, it is recommended that you first contact the main supervisor for this GEMS research topic. Please provide details of your academic background and achievements to the supervisor so that they can assess your suitability for the GEMS research topic you are interested in.
Main Supervisor (Malaysia): Dr Tan Wen Shan
Associate Supervisor (Malaysia): Assoc Prof Vishnu Monn
Associate Supervisor (Australia): Dr Hao Wang
Associate Supervisor (Indonesia): Assoc Prof Risqi Saputra
Funding Notes
- Applicants must possess a minimum academic qualification of First Class Honours (H1) or its equivalence (H1E) recognised by Monash Malaysia.
- Scholarships are awarded on a competitive basis.
