STAFF PROFILE
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
- Fayyazi, M.,Abdoos, M.,Phan, D.,Golafrouz, M.,Jalili, M.,Nakhaie Jazar, R.,Langari, R.,Khayyam, H. (2023). Real-time self-adaptive Q-learning controller for energy management of conventional autonomous vehicles In: Expert Systems with Applications, 222, 1 - 14
- Moradi Amani, A.,Csereklyei, Z.,Dwyer, S.,Bai, F.,Dargaville, R.,De Jong, P.,Hargroves, C.,Jalili, M.,Lu, J.,Meegahapola, L.,Nagrath, K.,SAJJADI, S. (2023). My V2X EV: Informing strategic electric vehicle integration In: RACE for 2030 (CRC) Melbourne, Asutralia
- Niknam, G.,Molaei, S.,Zare, H.,Pan, S.,Jalili, M.,Zhu, T.,Clifton, D. (2023). DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks In: Neural Networks, 165, 596 - 610
- Alsharif, H.,Jalili, M.,Hasan, K. (2023). An adaptive charge control strategy for participation of neighbourhood battery energy storage systems in frequency stability In: Journal of Energy Storage, 67, 1 - 15
- Mehmood, A.,Raja, M.,Jalili, M. (2023). Optimization of integrated load dispatch in multi-fueled renewable rich power systems using fractal firefly algorithm In: Energy, 278, 1 - 18
- Alsharif, A.,Jalili, M.,Hasan, K. (2023). Fast frequency response services in low inertia power systems—A review In: Energy Reports, 9, 228 - 237
- Hoque, M.,Khorasany, M.,Azim, M.,Razzaghi, R.,Jalili, M. (2023). Dynamic Operating Envelope-Based Local Energy Market for Prosumers with Electric Vehicles In: IEEE Transactions on Smart Grid, , 1 - 13
- Song, H.,Gu, M.,Liu, C.,Moradi Amani, A.,Jalili, M.,Meegahapola, L.,Yu, X.,Dickeson, G. (2023). Multi-objective battery energy storage optimization for virtual power plant applications In: Applied Energy, 352, 1 - 12
- Babalhavaeji, A.,Radmanesh, M.,Jalili, M.,Gonzalez, S. (2023). Photovoltaic generation forecasting using convolutional and recurrent neural networks In: Energy Reports, 9, 119 - 123
- Kamoona, A.,Song, H.,Keshavarzian, K.,Levy, K.,Jalili, M.,Wilkinson, R.,Yu, X.,McGrath, B.,Meegahapola, L. (2023). Machine learning based energy demand prediction In: Energy Reports, 9, 171 - 176
Note: Supervision projects since 2004
14 PhD Completions and 1 Masters by Research Completions21 PhD Current Supervisions and 1 Masters by Research Current Supervisions
Complex networks, Dynamical systems, Dynamical networks, Control systems, Graph theory, Social networks analysis and mining, Machine learning applications
- International collaboration network on renewable- and EV-grid integration. Funded by: DCCEEW International Clean Innovation Researcher Networks Grant from (2023 to 2027)
- Spatio-temporal analysis of charging requirements for Victoria's Electric Bus Fleet. Funded by: IMOVE CRC from (2023 to 2025)
- Enhanced System Planning Project. Funded by: IMOVE CRC from (2023 to 2025)
- AI for Clean Energy and Sustainability (externally led by Monash University). Funded by: CSIRO - Next Generation Graduates Programs from (2023 to 2026)
- 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)