Dr. Kamau is an Assistant professor at The City University of New York (CUNY), College of Staten Island (CSI), Department of Engineering and Environmental Science. His research interests lie in the areas related to high-performance computational fluid dynamics (CFD), immersed boundary methods, high fidelity fluid-structure interaction (FSI) modeling and simulation, multi-phase flows, compressible flows and multi-disciplinary physics-based computational methods.
He is currently working on the code development for modeling and simulation of particulate flows, bio-inspired systems, multiphase flows and fluid structure interaction for compressible/incompressible viscous flows.
Dr. Kamau completed his PhD in mechanical engineering at the University of North Texas in 2022 and was a postdoctoral research associate 2022-2023. He earned his master in National Taiwan University of Science and Technology, Taipei, Taiwan in 2015 and undergraduate degrees at University of Nairobi University, Kenya in 2012 He has collaborated actively with many national and international institutes and played a key role in several international conferences/workshops.
Degrees
PhD, Mechanical engineering; University of North Texas, Denton, Texas
MSc, Mechanical Engineering; National Taiwan University of Science and Technology, Taipei, Taiwan
BSc, Mechanical and Manufacturing Engineering; University of Nairobi, Nairobi, Kenya
Dip, Business information technology; Strathmore University, Nairobi, Kenya
[1] Kingora K, Sadat-Hosseini H. A novel interpolation-free sharp-interface immersed boundary
method. Journal of Computational Physics. 2022 March; 453
[2] Kingora K, Burks W, Sadat H. Flow and mass transfer characteristics for interacting side-byside
cylinders. Physics of Fluids. 2022 February 01; 34(2)
[3] Kingora K, Sadat H. Flow and scalar transfer characteristics for a circular colony of vegetation.
Physics of Fluids. 2022 August 01; 34(8)
[4] Kingora K, Raza M, Sadat H. Flow and passive scalar transfer characteristics around a row of interacting tandem cylinders. Journal of Hydrodynamics. 2022 August 01; 34(4)
Computational fluid dynamics; Immersed boundary methods
- High-Fidelity Computational Fluid Dynamics Modeling and Simulation
- Immersed boundary methods (IBMs)
- Fluid-Structure Interaction (FSI)
- Multi-Phase Flows
- Particulate Flows
- Renewable Energy Systems (offshore wind turbines)
- Bio-inspired Propulsion/Control Systems
- Naval Hydrodynamics
- Multi-Disciplinary Physics-Based Computational Methods
- High-Performance Computing
- Verification and Validation
- Uncertainty Quantification
Courses Teaching
- ENS 316/PHY 316: Dynamics
- ENS 410: Heat Transfer
- ENS 310: Thermodynamics
- ENS 450: Fluid Mechanics
