Recruitment
We recruit year-round for postdocs, MASc and PhD students, visiting students and undergraduate students. Please see our Opportunities page for more information.
Tobi Michael Alabi
Tobi is a visiting PhD student in the Department of Chemical and Biological Engineering at UBC. He is presently working on his PhD project which is a multidisciplinary research between the department of Building Environment and Energy Engineering (BEEE) in The Hong Kong Polytechnic University and the Department of Mechanical and Energy Engineering (MEE) in Shenzhen Univ. of Science and Technology (SUStech). His research focuses on the application of optimzation methods, advanced machine learning techniques (including deep reinforcement learning), data-driven control mechanism, building energy model, and energy systems modeling for the development of robust algorithm for zero-carbon multi-energy systems' planning and operation. His research output has been published in some notable SCI journals in the energy field which can be accessed on his google scholar profile.
📚 Program/Degree
GROUP ALUMNI (2022) |
PhD
(Visiting)
| Started 2022
📝 Research
Deep reinforcement learning algorithms for real-time energy scheduling
💻 GitHub
DAIS Lab Publications
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Journal Paper
A review on the integrated optimization techniques and machine learning approaches for modeling, prediction, and decision making on integrated energy systems
Renewable Energy. 2022 [PDF] -
Journal Paper
Automated deep reinforcement learning for real-time scheduling strategy of multi-energy system integrated with post-carbon and direct-air carbon captured system
Applied Energy. 2023 [PDF]
DAIS Lab Member? Submit a pull request or join the @daisubc organization on GitHub to update your profile - Tobi Michael Alabi.md.