Adaptive Topology
Self-organizing maps in resource-constrained environments.
NSF Funded
Current Work
Research Focus
Algorithmic Accountability
Frameworks for auditing bias in large language models.
In ProgressHuman-in-the-Loop Systems
Improving trust calibration between operators and agents.
MIT Collaboration
Contributions
Selected Works
The Paradox of Automation: Cognitive Load in Semi-Autonomous Driving
Pacheco, E., & Chen, S.
A comprehensive study examining the cognitive demands placed on operators in semi-autonomous systems, with particular focus on the attention paradox inherent in partial automation.
2024 · Journal of AI Research
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Gradient Descent Strategies in Non-Convex Optimization
Rodriguez, M., Pacheco, E., & Smith, J.
2023 · NeurIPS
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Perceptual Binding in Synthetic Vision Systems
Pacheco, E.
2022 · Cog.Sci
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Education
Teaching
Fall 2024
Active Course
CS 401: Introduction to Machine Learning
Supervised and unsupervised learning techniques. Weekly lectures covering fundamentals of statistical learning, neural networks, and practical implementation.
Spring 2024
Archived
CS 305: Ethics in Computing
Social impact and philosophical frameworks.
View Archives