☞ Research on kite systems for energy harvesting.
☞ Thesis: ”Airborne Wind Energy Systems: Flight Data Analysis Using System Identification and Machine Learning, and Control of Launching.”
☞ Thesis: ”Optimal Aircraft Evasion Trajectory: Analysis and Simulation of the Target-Attacker and the Target-Attacker-Defender Problems.”
📚 Graduate course work: Nonlinear control • PLC • Experimental Methods in Aerospace Engineering • Aero Elasticity • Continuum Mechanics • Heat Transfer • Advanced Numerical Analysis • PDE.
☞ Graduation project: “Micro-Flapping Air Vehicle”
☞ Working on several projects related to FOWT, renewable energy, and CFD using machine learning methods.
☞ Working on several projects related to renewable energy using machine learning methods.
☞ Working with the company team on dynamic modelling and control of a rigid vetical take off landing aircraft and simulation of the power cycle aimimng to maximize the generated electricity.
☞ Assisted in teaching courses on: Introduction to Embedded systems • PLC • Quality control • Dynamics of rigid bodies • Mechanical Mechanisms • Stress Analysis • Properties of materials.
☞ Trained on systems of the commercial passenger jet Airbus 320. Attended workshops on: “Turbofan Engine Overhaul”. Tested and validated oxygen cylinders, landing gears, and escape slides.
☞ Developed a circit using an Mbed microcontroller to interface with different sensors: pressure, temperature, accelerometer, gyroscope, GPS sensors, and wireless module XBEE. Also, organized Can-Sat Training Program (CTP2).
For a long time, I have been using a lot of computer tools, engineering programs, and programming languages. When I face a problem, I could learn some tools quickly and solve the problem or generate some results.
The important thing is that I could learn in a fast way and get the job done ;)
Rushdi, M. A., Yoshida, S., Watanabe, K., & Ohya, Y. (2021). Machine learning approaches for thermal updraft prediction in wind solar tower systems. Renewable Energy, 177, 1001-1013.
Rushdi, M. A., Dief, T. N., Yoshida, S., & Schmehl, R. (2020). Towing test data set of the kyushu university kite system. Data, 5(3), 69.
Rushdi, M. A., Dief, T. N., Halawa, A. M., & Yoshida, S. (2020). System identification of a 6 m2 kite power system in fixed-tether length operation. International Review of Aerospace Engineering, 13(4), 150-158.
Rushdi, M. A., Rushdi, A. A., Dief, T. N., Halawa, A. M., Yoshida, S., & Schmehl, R. (2020). Power prediction of airborne wind energy systems using multivariate machine learning. Energies, 13(9), 2367.
Dief, T. N., Fechner, U., Schmehl, R., Yoshida, S., & Rushdi, M. A. (2020). Adaptive flight path control of airborne wind energy systems. Energies, 13(3), 667.
Rushdi, M., Hussein, A., Dief, T. N., Yoshida, S., & Schmehl, R. (2020). Simulation of the transition phase for an optimally-controlled tethered vtol rigid aircraft for airbornewind energy generation. In AIAA Scitech 2020 Forum (p. 1243).
Dief, T. N., Rushdi, M. A., Halawa, A., & Yoshida, S. (2020). Hardware-in-the-Loop (HIL) and Experimental Findings for the 7 kW Pumping Kite Power System. In AIAA Scitech 2020 Forum (p. 1244).
Rushdi, M., Yoshida, S., & Dief, T. N. (2018). Simulation of a Tether of a Kite Power System Using a Lumped Mass Model.
You can download a PDF copy of my CV here.