معرفی
Dylan Rubini is a Postdoctoral Research Fellow in Computational Engineering at the University of Oxford, affiliated with St Anne’s College. He holds a DPhil (PhD) from the University of Oxford and an MEng in Engineering Science from Oriel College. His research focuses on developing multiphysics numerical tools accelerated by machine learning to enable decarbonization of high-temperature industrial processes.
**Education**
- MEng in Engineering Science, Oriel College, University of Oxford (2016)
- DPhil in Engineering Science, St Hugh's College, University of Oxford (2024)
**Research Interests**
Dylan specializes in multiphysics modeling, computational fluid dynamics, and AI-driven acceleration of reactive flow simulations. His work aims to design turbomachinery concepts for sustainable industrial heating and chemical processing. Key areas include:
- Data-driven modeling frameworks (e.g., ChemZIP)
- Aerochemical coupling in novel turbomachines
- Decarbonization of hard-to-abate processes
**Awards & Recognition**
- EPSRC IAA Doctoral Impact Award
- Best Paper Award (ASME Journal of Turbomachinery, 2023)
- Best Paper Award (Journal of the Global Power and Propulsion Society, 2024)
- IMechE Project Award
**Labs & Collaborations**
Dylan is part of the Oxford Thermofluids Institute and collaborates with institutions like the University of Cambridge and industry partners such as Mitsubishi Heavy Industries and Coolbrook Oy.
