Department of Cognitive Science

Bridging the gap between artificial intelligence and human perception.

My research focuses on neural architectures, ethical AI implementation, and the socio-technical impacts of automated decision-making.

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Professor Eleanor Gonzalez

Current Research

Neural Networks

Adaptive Neural Topologies

Investigating self-organizing maps in resource-constrained environments.

NSF Funded
AI Ethics

Algorithmic Accountability

Frameworks for auditing bias in large language models utilized in public sectors.

In Progress
HCI

Human-In-The-Loop Systems

Designing interfaces that improve trust calibration between operators and autonomous agents.

Collab: MIT

Selected Publications

2024 • Journal of AI Research PDF

The Paradox of Automation: Cognitive Load in Semi-Autonomous Driving

Gonzalez, E., & Chen, S.

Citations: 42 IF: 4.5
2023 • NeurIPS PDF

Gradient Descent Strategies in Non-Convex Optimization

Rodriguez, M., Gonzalez, E., & Smith, J.

Acceptance Rate: 21%
2022 • Cognitive Science PDF

Perceptual Binding in Synthetic Vision Systems

Gonzalez, E.

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Teaching

"Education is not the filling of a pail, but the lighting of a fire." My teaching philosophy centers on problem-based learning and ethical inquiry.

Fall 2024

CS 401: Intro to Machine Learning

A comprehensive introduction to supervised and unsupervised learning techniques.

  • Syllabus
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Student Portal
Spring 2024 (Archived)

CS 305: Ethics in Computing

Examining the social impact of technology through case studies and philosophical frameworks.

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