I.
Adaptive Topologies
Investigating self-organizing maps in resource-constrained environments. A study in efficiency vs. accuracy.
NSF Grant #8291Research Areas
Current focal points of the laboratory
II.
Algorithmic Ethics
Frameworks for auditing bias in large language models used in the public sector.
OngoingIII.
Human-In-The-Loop Systems
Designing interfaces that improve trust calibration between operators and autonomous agents. A collaborative effort with MIT Robotics.
MIT CollaborationSelected Works
The Paradox of Automation
2024Published in Journal of AI Research
Ramirez, E. & Chen, S.
Gradient Descent Strategies
2023Presented at NeurIPS
Rodriguez, M. & Ramirez, E.
Perceptual Binding in Synthetic Vision
2022Published in Cognitive Science
Ramirez, E.
Pedagogy
Fall Semester
CS 401: Machine Learning
A rigorous introduction to supervised learning. Emphasis on mathematical foundations.
Syllabus PDF
Spring Semester
CS 305: Computing Ethics
Examining the social impact of technology through philosophical frameworks.
Archived