Muhammad Ghufran Janjua

Project: Self-driving Electric Ships The aim of this project is to build autonomous electric cargo ships comprising of many environmentally friendly and intelligently controlled small vessels, using Artificial Intelligence (AI). Sensor Fusion, Signal Processing, Machine learning, and Deep Learning techniques can be utilized and applied to the data obtained from a variety of sensors i.e, RADAR, LIDAR, and camera, etc attached to the ship, to achieve this goal.

Conduct Digital Signal Processing Lab, help students to implement Digital Signal Processing algortihms using MATLAB

- Data collection, analysis, visualization and validation using python - Development, Implementation, validation and parameter tuning of Machine Learning (regression, classification) models using 'scikit-learn' - Tool development for analysis and validation of 'soccer' and 'bull-riding' data using 'matplotlib'

- Conduct literature review, summarize research papers and implement them on MATLAB

Machine Learning, Deep Learning, Computer Vision, Digital Signal Processing

Computer Programming, Algorithms and Data Structures, Object-Oriented programming, Calculus, Linear Algebra, Probability methods in Engineering, Signals and Systems, Digital Signal Processing