Where there's current, there's creation—and I's the one drawing the path
$ whoami
Muhammad Maab
$ cat specialty.txt
Electrical Engineering | Embedded Systems | Medical AI
$ ls projects/
StrokeDetection FPGA_ImageConv BikeMonitoring MazeRobot
Currently working on
Medical AI Systems
I'm a passionate Electrical Engineering undergraduate with expertise in embedded systems, medical AI, and computer vision. My work focuses on creating innovative solutions that bridge hardware and artificial intelligence for healthcare applications.
Computer Vision & Deep Learning
FPGA, Microcontrollers
Hardware Prototyping
Automation
Scienta Vision System, Islamabad
Mar 2019 – Jun 2021
Electrical and Electronics Engineering
COMSATS University Islamabad, Pakistan
Aug 2021 – Aug 2025
Deep Learning-Based Stroke Detection for CT Scans
Research Advisor: Dr. Ghufran Shafiq
EME (NUST)
July 2023 – August 2023
Contributed to the design and fabrication of a PCB for a mine detector, enhancing detection accuracy and field safety through innovative embedded systems solutions.
EVSIM
October 2024 – November 2024
Designed and implemented a MATLAB/Simulink-based simulation for Electric Vehicles (Car, Bike, Rickshaw) and delivered an interactive app for calculating EV performance under diverse conditions.
A final-year research project leveraging ResNet for 3D classification and segmentation of strokes. Collaborated with PIMS and IDC for real clinical data.
Designed a parallel-processing hardware system for real-time image convolution using Verilog on Nexys 2 FPGA board. Demonstrated application of embedded hardware in computer vision.
Developed a smart keyless bike system featuring real-time fuel monitoring and safety checks. Combined mobile app integration (MIT App Inventor and Blynk) with embedded systems.
Developed comprehensive MATLAB/Simulink models for electric vehicles (cars, bikes, rickshaws) during my internship at EVSIM. Created interactive simulations for performance analysis under various conditions.