Core Skills
- Public Speaking
- Interpersonal Skills
- Communication
- Matlab Simulink
- Microsoft Office: Word, Excel, PowerPoint
- canva
- C++
- Python
- Team Leadership
- Engineering Management
Academic Awards / Achievements
- Third Design Award, Design Intensive Workshop, Aug 2017
Experience
Leadership / Meta-curricular
- Treasurer, HU Student Government, Jan 2016 - Jan 2017
Internship / Volunteer Work
- Intern, Maple Software, July 2017 - April 2018
- Intern, Integrated Dynamics , June 2017 - July 2017
Final Year Project
Project Title
Automatic Scratch Detection on Vehicle Assembly Line
Description
Precise detection of surface flaws, especially scratches and dents, is a difficult task for human vision. Our capstone design project is on the development of a low-cost system that uses vision algorithms to accurately identify scratches on a vehicle assembly line. The system can account for defects with random shapes, low contrast or that are obscured by the natural texture of the surface, whereas a robotic arm allows for movement of the camera system. A multi-imaging setup allows for predicting the exact source of the scratch. This work is being done in partnership with a local car manufacturing company and will help them add automated tools to their assembly line. This is a joint project with Muhammad Ashir Wahid and Syed Muhammad Hasan Naqvi.