Muhannad Hendy

Utilizing machine and deep learning techniques to devise predictive models for thermo-fluid phenomena. These models do not only serve in the validation of other analytical techniques, but also predict transient values of physical quantities of interest with minimal pre-processing. My tasks also include data preparation and creating the ML preprocessing pipeline from scratch. Tools and techniques used: * DNN and RNN * TensorFlow, Keras, Scikit-Learn, and Python

Taught mechanical engineering courses to second and third year students at East China University of Technology (ECUT) in a collaborative program between AIT and ECUT. Taught courses: Fluid Mechanics, Fundamentals of Control Engineering, Hydraulic Control, and Mechanics of Materials.

Taught Fluid Mechanics and Physics courses to undergraduate engineering students.

Did CFD analysis, primarily in the area of automobiles development, supporting R&D teams in some of the major auto manufacturers. Job responsibilities included: * Meshing, setting up CFD calculations (using in-house software), post processing, and analysis. * Gained some knowledge in the area of port design for SI engines, and spray characterization using the ETAB spray model. * Had an in-depth knowledge of exhaust systems 3D thermal analysis while developing and using a proprietary software.

Located in the company’s yard, I was in charge of maintaining some of the mechanical equipments used for cased-hole logging and slickline services, including BOPs and slickline units.

Aerodynamics; Computational Fluid Dynamics (CFD); Drag and Aeroheating Reduction