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Dr. W. Schuyler Hinman

PhD, PEng

Positions

Assistant Professor

Schulich School of Engineering, Department of Mechanical and Manufacturing Engineering

Contact information

Web presence

Preferred method of communication

Email

Background

Credentials

PhD, University of Calgary, 2017

Biography

Dr. Schuyler Hinman works in the area of computational fluid dynamics (CFD) for the study and advancement of next-generation aerospace and green technologies. Schuyler completed his PhD at the University of Calgary in 2017 before taking a position as a senior engineer at Atlantis Research labs working in their aerospace and green technology divisions. In July, 2021, Schuyler returned to the U of C as an assistant professor to continue his work in academia.

Research

Areas of Research

Aerodynamics & propulsion

A few research projects include the development of a solid-propellant air-breathing rocket engine, as well as using flow field estimation techniques which utilizes sensors, which can be applied to bluff body flows and vehicle aerodynamics.

Some core focuses of labs and groups involved with Aerodynamics and Propulsion include aerospace vehicle development and flight testing, bluff body aerodynamics, flow control, and turbulence.

Robotics & UAV

The various areas of expertise and research projects includes robotic machining, control and deployment of robots and UAVs within confined spaces, human collaborative robots for space explorations, and radio frequency (RF) links for UAV applications.

Some core focuses of facilities involved with Robotics and UAV include the study of diverse methodologies such as AI or machining for applications to robots or unmanned aerial vehicles.

Numerical methods & computing

This includes Mathematics and Statistics, Computer Science, Electrical and Software Engineering, Physics and Astronomy, and Mechanical and Manufacturing Engineering. The research includes numerical optimization for aerospace applications such as wing profile design or traffic control, and addressing problems in visual computing using scientific computing, high performance computing, and data science. It also involves pattern recognition and probabilistic decision making.

Many of the facilities focus directly on Numerical Methods and Computing, or heavily utilize it in their research projects.