STAFF PROFILE
Associate Professor Mahdi Jalili
Position:
Professor
College / Portfolio:
STEM College
School / Department:
STEM|School of Engineering
Phone:
+61399251223
Email:
mahdi.jalili@rmit.edu.au
Campus:
City Campus
Contact me about:
Research supervision
- Al Khafaf, N.,Wang, J.,Jalili, M.,Sokolowski, P. (2023). A Deep Learning Approach for Detecting Distributed Generation in Residential Customers In: Sustainable Energy, Grids and Networks, 33, 1 - 27
- Asgharian Rezaei, A.,Munoz, J.,Jalili, M.,Khayyam, H. (2023). A machine learning-based approach for vital node identification in complex networks In: Expert Systems with Applications, 214, 1 - 14
- Al Khafaf, N.,Song, H.,McGrath, B.,Jalili, M. (2023). Identification of low voltage distribution transformer–customer connectivity based on unsupervised learning In: Energy Reports, 9, 72 - 79
- Moradi Amani, A.,SAJJADI, S.,Somaweera, W.,Jalili, M.,Yu, X. (2023). Data-driven model predictive control of community batteries for voltage regulation in power grids subject to EV charging In: Energy Reports, 9, 236 - 244
- Song, H.,Al Khafaf, N.,Kamoona, A.,SAJJADI, S.,Moradi Amani, A.,Jalili, M.,Yu, X.,McTaggart, P. (2023). Multitasking recurrent neural network for photovoltaic power generation prediction In: Energy Reports, 9, 369 - 376
- Mola, M.,Moradi Amani, A.,Jalili, M.,Khayyam, H. (2023). Data-Driven Predictive Control of CVT System for Improving Energy Efficiency of Autonomous Vehicles In: IEEE Transactions on Vehicular Technology, 72, 1501 - 1514
- Moradi Amani, A.,Sajjadi, S.,Al Khafaf, N.,Song, H.,Jalili, M.,Yu, X.,Meegahapola, L.,McTaggart, P. (2023). Technology balancing for reliable EV uptake in distribution grids: An Australian case study In: Renewable Energy, 206, 939 - 948
- Chen, Z.,Moradi Amani, A.,Yu, X.,Jalili, M. (2023). Control and Optimisation of Power Grids Using Smart Meter Data: A Review In: Sensors, 23, 1 - 26
- Moradi Amani, A.,SAJJADI, S.,Bazmohamadi, N.,Jalili, M. (2023). Smart Control of EV Charging in Power Distribution Grids In: Electric Transportation Systems in Smart Power Grids, Taylor & Francis, United States
- Sumanasena, V.,Gunasekara, L.,Kahawala, S.,Mills, N.,De Silva, D.,Jalili, M.,Sierla, S.,Jennings, A. (2023). Artificial Intelligence for Electric Vehicle Infrastructure: Demand Profiling, Data Augmentation, Demand Forecasting, Demand Explainability and Charge Optimisation In: Energies, 16, 1 - 18
Note: Supervision projects since 2004
11 PhD Completions21 PhD Current Supervisions and 2 Masters by Research Current Supervisions
Complex networks, Dynamical systems, Dynamical networks, Control systems, Graph theory, Social networks analysis and mining, Machine learning applications
- Spatio-temporal analysis of charging requirements for Victoria's Electric Bus Fleet. Funded by: IMOVE CRC from (2023 to 2025)
- Supporting the Electrification of Victoria’s Future Fleet (VHESIF Pool 2). Funded by: Victorian Higher Education State Investment Fund (VHESIF) - Pool 2 from (2021 to 2025)
- ICECRP Clean Energy Living Lab (Integrated Circular Economy Hub - VHESIF Pool 1). Funded by: Victorian Higher Education State Investment Fund (VHESIF) - Pool 1 from (2021 to 2025)
- Develop a software prototype for a Multi-Objective Optimisation Tool. Funded by: Desert Knowledge Australia Contract from (2021 to 2022)
- Project 69: C4NET Demand Response Initiative - Optimisation of behind the meter DER generation assets within network constraints: A roadmap to successful DR program. Funded by: Centre for New Energy Technologies (C4NET) from (2021 to 2024)