Ph.D. Proposal Oral Exam - Abdulrahman Alamoudi
Title: Machine Learning for Traffic Prediction and Communication Efficient Data Analytic in Wireless Networks
Dr. Fekri, Advisor
Dr. Sivakumar, Chair
Abstract: The objective of the proposed research is to design predictive models by learning the mobile users behaviors in wireless networks and design efficient task-aware models at the wireless-network edge for Internet of Things (IoT). The integrated framework aims to reduce the data costs and network operation costs of mobile users and network operators, respectively, and enhance the communication traffic by minimizing the latency. We propose to tap into machine learning (ML) and probabilistic graphical models to capture the dependency relationships between observed and unobserved variables, and develop efficient computation algorithms that exploit the graph structure.
- Workflow Status:Published
- Created By:Daniela Staiculescu
- Modified By:Daniela Staiculescu