Professor of Computer Science
About
Get to know the academic background, teaching approach, and professional experience behind Dr. Carter’s work with students.
Dr. Amelia Carter teaches and researches artificial intelligence, data science, and human-centered technology. Her work helps students connect technical skills with real-world impact through project-based learning and academic mentorship.
Academic Background
Artificial Intelligence
Data Science
Human-Computer Interaction
Teaching Philosophy
“Technology education should help students become thoughtful problem-solvers, not just skilled tool users.”
Experience
12+ years of university teaching, research supervision, and academic program development.
Student Support
Provides guidance for research projects, capstone work, academic planning, and career-focused learning paths.
Expertise
Areas of Expertise
Dr. Carter’s work focuses on the connection between emerging technology, data-driven systems, and human-centered digital experiences.
Artificial Intelligence
Explores how intelligent systems can support decision-making, automation, education, and ethical technology development.
Machine Learning
Applied AI
AI Ethics
Data Science
Focuses on turning complex data into meaningful insights through analysis, visualization, modeling, and research-based interpretation.
Data Analytics
Predictive Models
Research Methods
Human-Computer Interaction
Studies how people interact with digital systems and how technology can be designed to be more useful, accessible, and human-centered.
UX Research
Interaction Design
Digital Behavior
Educational Technology
Researches how digital tools can improve learning experiences, support student progress, and create more adaptive education systems.
Learning Platforms
Student Engagement
Digital Learning
Expertise
Publications & Research
Explore selected publications, research projects, and academic work by Dr. Carter.
Journal Article
Designing Ethical AI Systems for Student Learning Analytics
This paper explores how AI-supported education tools can provide useful student insights while protecting transparency, fairness.
View PublicationConference Paper
Human-Centered Approaches to AI Interface Design
A study on how interface design principles can improve trust, usability, and explainability in AI-powered digital products.
View PublicationResearch Project
Using Data Visualization to Support Academic Advising
A research initiative focused on helping advisors understand student progress through clearer, more actionable data dashboards.
View PublicationOffice / Contact
Office & Contact Information
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Proessors
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Programs
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