Mr. Arpan Das
Details
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Department: Research & Innovation
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Campus: Bundoora East Australia
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arpan.das@rmit.edu.au
About
Dr. Arpan Das is a Postdoctoral Research Fellow at the Sir Lawrence Wackett Defence and Aerospace Centre at RMIT University. He specializes in the development of AI-driven technologies and scientific machine learning for sovereign aerospace and energy systems. His research focuses on noise-resilient algorithms and real-time digital twin frameworks that enable advanced decision support for autonomous platforms and critical infrastructure.
Dr. Das currently leads and contributes to several national-priority initiatives, including the A$741,730 ARC NIFTI-SMART project and the A$10M AEA Innovate Smart Wind Turbine project. His work is instrumental in advancing Australia’s sovereign industrial capability, providing data-driven solutions for structural health monitoring and predictive maintenance in collaboration with industry partners and the Defence Science and Technology Group (DSTG).
Research fields
- 4012 Fluid mechanics and thermal engineering
- 4001 Aerospace engineering
- 401201 Aerodynamics (excl. hypersonic aerodynamics)
- 460501 Data engineering and data science
- 4017 Mechanical engineering
- 401702 Dynamics, vibration and vibration control
- 401206 Fluid-structure interaction and aeroacoustics
Degrees
- Ph.D, Aerospace Engineering and Technology
- RMIT University
- Australia
- 2018 – 2023
- Masters Degree by Research, Mechanical and Industrial Eng and Techn.
- Indian Institute of Technology Madras
- India
- 2017
Research interests
• Data-driven Modeling & Numerical Methods
• Reduced Order Modeling
• Data-driven Control & Nonlinear System Identificat
• Machine Learning for System Optimization and Pre
• Noise-Resilient Algorithms
• Physics Informed Machine Learning
• Data-driven Model Discovery
• Uncertainty Quantification & Predictive Analytics
