University Events

Description: Topic: Machine Learning Optimization for Dynamic Spectrum Awareness

Location: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A

Zoom Link: https://umassd.zoom.us/j/99705551586
Meeting ID: 997 0555 1586 Passcode: 604747

Abstract:
This dissertation proposes a machine learning-based approach focused on improving dynamic spectrum awareness in wireless communications. The approach is comprised of four main components: network optimization with genetic algorithm convolutional neural networks (GACNN), which focuses on optimizing neural network architectures for specific tasks to reduce the complexity and cost of the network optimization process; unsupervised prototype learning, which uses hierarchical clustering and a prototype-based learning objective to estimate signal-to-noise ratio (SNR) regions and perform modulation classification to improve the identification of new spectrum users; deep neural network explainable AI (DNN XAI), which will develop methods to increase the transparency and interpretability of machine learning models in deep neural networks to ensure compliance with spectrum regulatory standards; and lastly, incremental learning class representation drift, which will evaluate the performance of incremental learning methods in baseband modulation classification to establish a continuous learning process that adapts to dynamic environments. By addressing gaps in current spectrum management techniques, these components aim to improve spectrum utilization, increase machine learning-based communication interpretability, and provide an informed model for future spectrum management strategies.

Advisor(s):
Dr. Ruolin Zhou, Associate Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth

Committee Members: Dr. Lance Fiondella, Associate Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth; Dr. Alfa Heryudono, Associate Professor, Department of Mathematics, UMASS Dartmouth; Dr. Eugene Chabot, Engineer, Naval Undersea Warfare Center (NUWC)

NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.

*For further information, please contact Dr. Ruolin Zhou via email at ruolin.zhou@umassd.edu.