mays qahtan
Research Interestsembedded systems Eng. and programming
| Gender | FEMALE |
|---|---|
| Place of Work | Technical Engineering College for Computer and AI / Mosul |
| Department | Department of Cybersecurity Engineering Techniques |
| Position | assistant lecturer |
| Qualification | MSc |
| Speciality | embedded sys. Eng. |
| mays.q.sedeeq@ntu.edu.iq | |
| Phone | 07709484676 |
| Address | andalus\313\21\19, ninavah, mosul, iraq |
Eng. Maus Qahtan Sedeeq is a lecturer and researcher specializing in Embedded Systems Engineering. She obtained her Bachelor’s degree in Computer Engineering from Mosul University, and later pursued her Master’s degree in Embedded Systems from UniMAP . Her academic and research interests focus on microcontroller-based design, IoT applications, real-time systems, and intelligent automation.
Throughout her career, she has supervised several undergraduate projects involving Arduino-based smart systems, wireless sensor networks, and FPGA implementations. She has also delivered multiple workshops and seminars on modern embedded design techniques and hardware-software integration.
Supervision
, اوس احمد فؤاد ,سعود عزيز حمدون , جعفر فاضل , صالح محمد, جواهر منذر
Year: 2024Academic Degree: Bachelor
Supervisor Type: Supervisor
Supervisor State: Ungraduated
The Smart White Cane is designed to assist visually impaired individuals in navigating their environment safely. It uses an Arduino microcontroller integrated with multiple proximity sensors to detect obstacles. The system provides real-time feedback through vibrations or audio alerts, helping the user avoid collisions. This project demonstrates a low-cost, efficient, and portable assistive technology solution.
Academic Qualification
MSc
Jan 6, 2014 - Oct 20, 2016Master of Science in Computer Engineering (Embedded Systems – FPGA Specialization)
Universiti Malaysia Perlis (UniMAP) – Malaysia
Year of Graduation: 2016
Specialized in Embedded Systems Design and FPGA-based Architectures.
Research focused on hardware implementation and system optimization using FPGA technology.
Thesis Title: “Design and Implementation of an Embedded System using FPGA for Real-Time Applications.”
Tools & Technologies: Xilinx Vivado, Quartus Prime, VHDL, Verilog, MATLAB/Simulink, ARM Cortex-M
Working Experience
Embedded Systems, FPGA, VHDL, Digital System Design, Hardware Implementation, Microcontrollers, Computer Engineering, MATLAB, , Quartus Prime, Real-Time Systems, System-on-Chip (SoC), [lecturer]
Oct 1, 2019 - PresentOver 8 years of experience in computer engineering and embedded system design. Worked as a lecturer assistant and researcher, focusing on FPGA implementation, digital system design, and microcontroller-based projects