Shayan Ahmed

writes the final thesis.

Angestellt, Master Thesis, Technical University of Munich
München, Germany

Fähigkeiten und Kenntnisse

MatLab
MS Office
Troubleshooting
Altium
Circuit Studio
ANSYS
Lab View
Visual C / C++
Python
Microsoft Power BI
Firmware
Laboratory
CANalyzer
Vector CANoe

Werdegang

Berufserfahrung von Shayan Ahmed

  • Current 3 years and 6 months, since Jan 2023

    Master Thesis

    Technical University of Munich

  • 9 months, Jun 2022 - Feb 2023

    Working Student

    Sono Motors GmbH

    - Testing and validation of the overall system, including electric, electronic, software (CAN communication) & mechanical integration. - Design, simulate and validate circuits for electronic control modules and connected subsystems such as sensors and actuators on Arcadia Schematic Software.

  • 1 year and 2 months, Feb 2021 - Mar 2022

    Working Student

    Infineon Technologies

    -Testing, modeling, and characterization of 24 GHz, 60 GHz, and 77GHz mm Wavelength Radar Sensors on MATLAB. - Simulations on Altium Software, hardware design enhancements on Micrium Software/ MS Visio/ Origin Lab, and firmware changes on Infineon Toolbox. - Lab tests through using DC power supplies, oscilloscope, and multi-meters to optimize the Hardware.

Ausbildung von Shayan Ahmed

  • Current 5 years and 10 months, since Sep 2020

    Power engineering

    Technical University Munich

    Power Electronics, Sustainable Mobility, Power Transmission, Advanced Control, System Design for IoT, Energy Storage, Low Power Automotive Drives (DC, BLDC, asynchronous motors)

  • 4 years and 4 months, Jan 2013 - Apr 2017

    Electrical Engineering

    Mehran University of Engineering and Technology, Jamshoro

    Major Courses: Power Electronics, Computers & Programming, Electronic Devices & Circuits, Electrical Machines, Electrical Power System Protection, Electrical Power Transmission Thesis - Design and Fabrication of Microcontroller-based Occupancy Sensor in Buildings. - The prototype is used to automate the switching of various electronics appliances by using passive infrared and ultrasonic sensors. Simulations were done on Arduino Microcontroller Tool Kit.

Sprachen

  • English

    C1 (Fließend)

  • German

    A1-A2 (Grundkenntnisse)

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