MAE PhD Defense – Opeoluwa Owoyele
EB3 3235TITLE: Accelerating the Simulation of Chemically Reacting Turbulent Flows via Machine Learning Techniques ADVISOR: Dr. Tarek Echekki DATE & TIME: Wednesday, December 20, 2017 at 9 AM LOCATION: EB3...
TITLE: Accelerating the Simulation of Chemically Reacting Turbulent Flows via Machine Learning Techniques ADVISOR: Dr. Tarek Echekki DATE & TIME: Wednesday, December 20, 2017 at 9 AM LOCATION: EB3...
Abstract: Light and sound can be combined in interesting ways for many applications in biomedical imaging and non-destructive evaluation. In this talk we will explore...
TITLE: Integration of Metal Forming Process and Real Time Lubricant Formulation Utilizing Hydrodynamic Cavitation ADVISOR: Dr. Gracious Ngaile DATE & TIME: Friday, January 12, 2018 at 10AM LOCATION: EB3...
Abstract: Nonwovens are ubiquitous in both industrial and commercial applications due to their characteristic high surface area, high porosity, damage tolerance, low cost, and the...
Abstract: To support the design of high-speed air vehicles, a number of scientific challenges must be addressed in the prediction and control of supersonic and...
Abstract: Communications, Navigation, and Surveillance (CNS) systems within the National Airspace System (NAS) have had a marked evolution over the last 25 years. The status...