Syed Imran Moazzam Shah

I am a PhD with skills in Image processing, computer vision and deep learning.

EDUCATION

PhD Mechatronics Engineering (2015-2023)

CGPA 3.5/4.0 Coursework + 30 Credit Hour Research Qualified 

College of Electrical and Mechanical Engineering (CEME), National University of Sciences and Technology (NUST) 

Thesis Title : Efficient Classification of Weeds in Crops for Autonomous Spray Application

This thesis focusses on efficient classification of weeds in tobacco, sesame and sugar beet crops from drone images using deep learning. I have proposed two methodologies which help in selective spraying in agricultural crops. I have published 5 research papers and 2 labeled aerial datasets, which are the outcome of this thesis and support further research.

MS Mechatronics Engineering (2011-2013)

CGPA 3.5/4.0 

College of Electrical and Mechanical Engineering (CEME), National University of Sciences and Technology (NUST) 

Thesis Title : Filler Material Estimation for Potholes Using 3D Pavement Images

The thesis focusses on material estimation to repair roads using images from kinect sensor using computer vision techniques. The outcome of this thesis is 2 published research papers.

BSc Electronics Engineering (2006-2010)

CGPA 3.2/4.0 

Wah Engineering College (WEC), University of Wah (UW) 

Final Year Project : Car Driving Assistant using Image Processing with MATLAB & Simulink

The project enabled us to produce a system which helps the car driver in his driving by recognizing sign boards, head on vehicle collision detection and unwanted lane change detection using image processing techniques.