IEEE ProfileAbout Me
Basharat Hussain, an accomplished professional, holds an M.S. degree in Computer Science with distinction from the International Islamic University, Islamabad, Pakistan. Currently pursuing a Ph.D. in Computer Science at COMSATS University, Islamabad, his research focuses on using deep and federated learning for intelligent transportation. With over 25 years of experience in IT, he excels in software development and academia alike. He has contributed to software projects for multinational corporations, displaying expertise in programming languages like C++, C#, Java, Python, ect. Currently a permanent faculty member at FAST University, Islamabad, he is committed to advancing knowledge in computer science, particularly in AI.
Research interests
1. Federated Learning in Intelligent Transportastion
- Researching in Vertical Federated Learning, I focus on using machine learning to address Intelligent Transportation issues. By exploring this intersection, I aim to develop effective solutions to enhance the model effectiveness, security and privacy. My goal is to contribute to the field by conducting innovative research in this area
2. Deep Learning in Urban Traffic Prediction
- Fascinated by Spatio-Temporal Neural Networks, particularly in utilizing Graph Convolution Networks. Exploring the dynamics of transportation systems, I aim to uncover patterns and relationships crucial for understanding emergent properties and developing effective solutions in Urban Traffic Predcition