Assaad Masri 교수 연구 프로필
시드니 대학교 · 항공우주기계메카트로닉스공학부
소개
시드니 대학교 항공우주기계메카트로닉스공학부 소속 Assaad Masri 교수의 등록된 연구 분야는 Automotive combustion and fuel engineering, Energy generation, conversion and storage (excl. chemical and electrical), Turbulent flows, Multiphysics flows (incl. multiphase and reacting flows), Experimental methods in fluid flow, heat and mass transfer, Computational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics), Fundamental and theoretical fluid dynamics, Fluid mechanics and thermal engineering, Mechanical engineering입니다.
연구 키워드
같은 학과의 다른 연구실
- Agisilaos Kourmatzis 교수 연구실
Energy generation, conversion and storage (excl. chemical and electrical), Experimental methods in fluid flow, heat and mass transfer, Multiphysics flows (incl. multiphase and reacting flows), Turbulent flows, Biomedical fluid mechanics, Computational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics), Fundamental and theoretical fluid dynamics, Fluid mechanics and thermal engineering, Mechanical engineering
- Ahalya Prabhakar 교수 연구실
Control engineering, mechatronics and robotics, Intelligent robotics, Field robotics, Assistive robots and technology
- Ahmad Jabbarzadeh Khoei 교수 연구실
Numerical modelling and mechanical characterisation, Non-Newtonian fluid flows (incl. rheology), Microelectromechanical systems (MEMS), Tribology, Computational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics), Solid mechanics, Microfluidics and nanofluidics, Macromolecular and materials chemistry
- Ashley Roach 교수 연구실
Materials engineering, Metals and alloy materials, Physical properties of materials, Electrochemical energy storage and conversion, Composite and hybrid materials, Ceramics, Numerical modelling and mechanical characterisation, Additive manufacturing, Solid mechanics, Mechanical engineering, Nanoscale characterisation, Nanomaterials
- Bingran Wang 교수 연구실
Aerospace engineering, Optimisation, Artificial intelligence
- Donald Dansereau 교수 연구실
Image processing, Computer vision and multimedia computation, Computational imaging, Computer vision, Classical and physical optics, Deep learning, Circuits and systems, Artificial intelligence, Ophthalmology and optometry, Control engineering, mechatronics and robotics