MIT EECS | Lincoln Laboratory Undergraduate Research and Innovation Scholar
Managing and Controlling Networks Under Uncertainties and Imperfect State Knowledge
- Artificial Intelligence and Machine Learning
Vincent W. S. Chan
Today’ s communication networks face large amounts of traffic and congestion from increased usage of video applications and big data analytics. The dynamic nature of these sessions means that the network state changes constantly. My SuperUROP project will explore how to design, develop, and analyze innovative network management and control systems in scenarios with imperfect state knowledge. I will start by using a variety of analytical and algorithmic solutions to model a communication network. Then I will leverage tools from various disciplines — such as machine learning, optimization, and control theory — to design suitable network-management protocols. Finally, I can evaluate my protocols through simulating network-protocol conditions.
I am participating in SuperUROP to gain hands-on research experience and prepare for further education in computer science. What excites me most is the ability to take knowledge from my classes and apply it to a real-world problem in an area of my interest. I want to learn how to take technical concepts from my research and present them in an understandable, engaging manner.