Profile Image
Assistant Lecturer

mays qahtan

Research Interests

Gender FEMALE
Place of Work Technical Engineering College for Computer and AI / Mosul
Position assistant lecturer
Qualification MSc
Speciality embedded sys. Eng.
Email mays.q.sedeeq@ntu.edu.iq
Phone 07709484676
Address andalus\313\21\19, ninavah, mosul, iraq

Supervision

, اوس احمد فؤاد ,سعود عزيز حمدون , جعفر فاضل , صالح محمد, جواهر منذر
Year: 2024

Academic 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.

working experience

Academic Qualification

MSc
Jan 6, 2014 - Oct 20, 2016

Master 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 - Present

Over 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