I first talk about the problem afterwards and their multiple solutions and then the reason why do we need that solution or to solve that problem. In the broader picture, my teaching style is outcome-based learning. I love to discuss multiple aspects of a single problem
I did my graduation in Electrical Engineering (Gold Medalist) in Power major, Currently, I am working towards my Masters in Univesity of Regina. I am studying Electronics Systems Engineering. My research interests include machine learning, Image processing, Deep learning, Audio Video analysis
Sep. 2014-Aug 2018 Bachelor of ELECTRICAL ENGINEERING, University of Engineering and
Technology, Lahore Pakistan
Program Description: This bachelor program was the integration of software and hardware related subjects, their associated practical problems, analysis and design. In addition, we were taught problem-solving skills for developing and analyzing efficient circuitry.
GPA: 3.561/4.0 (3 - Gold Medals)
Programming language (C, Java, Assembly, MATLAB), Image Processing, Machine Learning,
(Confident, articulate, and Empathic listener), (Speaking in public, to groups, or via electronic
media), Thrive in a team environment and work well with others, enjoy working as a team member
as well as independently
1.Anomaly Behavioral Detection (Senior Design Project)
Analyzing anomaly behaviors using Computer vision tool box and supervised learning. Anomaly behavioral selection is based on Social force model (SFM) and Particle swarm optimization (PSO). Its primary concerns are security surveillance of populated area and pre- determination of unusual activity with defining newly adopted behavior. For brief details please click here.
2. Voice Recognition Using Supervised Learning
I recently worked on supervised machine learning for gunshot detection. By training Support Vector Machine for classification purpose using some basic audio features like Energy, Zero crossing rate, Volume Spectral roll-off etc. It classifies the input sound and tells either it is a gunshot or not. It was designed specifically for surveillance purpose. For brief details please click here.
3. Autonomous Fire Fighting Robot
Sensor based Autonomous Fire Fighting Robot was totally autonomous in detection, eliminating fire and making safety precautions. It was aimed in a view of Emergency for the places where it was difficult for a person to reach in person to eliminate the threat.
|at their home||at your home||By webcam|