I am a Ph.D. student in the Wireless Innovation Laboratory (WILab) at Worcester Polytechnic Institute (WPI), where I am advised by Prof. Alexander Wyglinski. My research focuses on developing forecasting models to predict traffic demands in communication networks and leveraging these predictions to improve routing decisions. I expect to graduate in May 2026.

Before joining WPI, I earned my B.S. and M.S. degrees in Electrical and Computer Engineering from Louisiana State University (LSU) in 2020 and 2022, respectively. My master’s degree thesis focused on using neural networks for receiver error correction in a satellite communication system. My thesis can be downloaded here.

Outside of research, I enjoy training for half marathons and rock climbing, both indoors and outdoors.

Publications

Conference Papers

• M. Cash and A. Wyglinski, “Improving Internet Traffic Matrix Prediction via Time Series Clustering”, Accecpted to Internantional Conference on Machine Learning Applications 2025
• M. Cash, J. Murphy and A. Wyglinski, “WIP: Federated Learning for Routing in Swarm Based Distributed Multi-Hop Networks,” 2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Boston, MA, USA, 2023, pp. 316-319, doi: 10.1109/WoWMoM57956.2023.00049. IEEEXplore

Talks

• M. Cash and A. Wyglinkski, “Supervised Learning vs. Reinforcement Learning: A Comparative Analysis For Designing Intelligent FutureG Network”, Delivered at IEEE Future World Networks Forum 2023. slides.

Resume

The lastest version of my resume is here.