A teacher holds a pivotal role in shaping the classroom environment and teaching approach to foster students' acquisition of the essential skill sets needed for the future. While course content taught at universities is readily available in the digital realm, universities distinguish themselves by cultivating a learning environment geared towards nurturing the metacognitive skills necessary for tackling intricate real-world challenges.
I believe in an active classroom with clear and quantifiable objectives to promote hands-on experiences and peer-to-peer learning.
Teaching experience
Lead instructor for Boundary Layer Lab at FAU Erlangen-Nürnberg, Germany, 2023-2025
Integrated Turbulent boundary layer into Senior level and master level Fluid mechanics Boundary layer lab to teach students in distinguishing the difference between laminar boundary layer and turbulent boundary layer using the experimental measurements; to obtain functioning understanding of Hot Wire Anemometry and its calibration using King’s law; and evaluating experimental Reynolds number at a fixed distance from the leading edge and evaluate the skin friction coefficient for both laminar and turbulent boundary layers and how do they compare and underlying limitations of experimental data.
Lead Instructor for LED based Particle Image Velocimetry at FAU Erlangen-Nürnberg, Germany, 2023-2025
Introduced state-of-art flow measuring technique, Particle Image Velocimetry (PIV) to graduate level students through LED based Educational PIV developed by Dantec Dynamics. Students learned and estimated the volume flow rate of steady and pulsed jet using PIV technique.
Lead instructor for ME 200 at UIUC, Spring 2022
Designed and taught ME 200 Thermodynamics curriculum to over 109 undergrad students with diverse educational and demographical backgrounds at the University of Illinois at Urbana-Champaign (UIUC). The course curriculum is designed to facilitate the students with the materials required to learn the fundamental laws of thermodynamics and the limitations of energy conversion and generation devices. The principles are applied in thermodynamic analyses directed towards understanding the performances of engineering systems. Methods and problems cover socially responsible economic generation and utilization of energy in central power generation plants, solar systems, refrigeration devices, and automobile, jet and gas-turbine engines. Students worked in neighborhoods to promote individual accountability with incorporated peer-to-peer learning.
Co-instructor of Engineering Research and Design, HighSchool Student training program
Designed and taught engineering research and design concepts to 11th and 12th-grade kids. A 6-week program is designed to include career advise for their college applications, teaching the thermodynamic laws and fundamentals of wind energy with a hands-on project to create a wind turbine and evaluate its power production at various wind speeds. This summer program was organized virtually during COVID-19 pandemic.
Mentoring
Direct Numerical Simulation of Irregular Rough Surfaces and their Effects on Turbulent Open Channel Flows by Rafal Al-Abadi, masters student at FAU Erlangen Nuremberg
Scan of experimentally measured rough surface
Flow on roughness surface simulated with high-order spectral code, Nek5000
As part of her master’s thesis, she worked on using high-order spectral code, Nek5000 to study turbulent flows over irregular rough surfaces. Her work explored how surface roughness affects flow behavior and developed new ways to model realistic rough surfaces.
CO2 sequestration integration with wind turbines
Mentored masters student on her thesis to integrate wind turbines with Direct Air Capture (DAC) for an effective Carbondioxide sequestration to have energy resilience. In this project, the LES simulation is carried out by incorporating scalar transport equations to NREL's SOWFA code.
Health - global pandemic, COVID- 19
Mentored junior PhD student for experimental and numerical validation of a novel filter, HyCu95 (Patent submitted), part of cluster of the projects related to the development of COVID-19 pandemic mitigation technologies in Castillo Research lab. (Journal article published in Nature scientific reports, COVID-19 edition) Read more
Health - Low-order modeling integration to NN, Brain Tumors
Mentoreda junior Ph.D. student on the application of low-order modeling, POD, on the brain MRI images for optimistic detection of brain tumor integrated with artificial neural networks.