Michal Shlapentokh-Rothman

Michal  Shlapentokh-Rothman
MIT EECS | Lincoln Laboratory Undergraduate Research and Innovation Scholar
Advisor: Una-May O'Reilly
Department: EECS
Areas of Research: Computer Systems
Years: 2018-2019
Research Project Title:

Using Evolutionary Algorithms to Co-Optimize Network Access

abstract:Cybersecurity is a growing threat that can have profound impacts on people’s lives. My project uses evolutionary algorithms to create robust network system configurations that are better able to withstand attacks. The end goal is create a deployable configuration that can be transferred to existing systems and help network administrators best determine how to set up their network.

After taking Intro to Artificial Intelligence (6.034), and Computer Systems Engineering (6.033), I became interested in both machine learning and security. Through participating in SuperUROP, I am excited to learn more about research in both fields and how machine learning can help make more secure systems. Additionally, I am looking forward to gaining experience in working on a long-term research project.