We design, pilot, and evaluate AI-driven chatbots and secure cyberinfrastructure that support research, teaching, and operational decision-making. Our work emphasizes reproducibility, ethics, and robust security.
Laboratory projects focus on conversational agents for education, secure model deployment, data governance, and visualization dashboards for institutional research.
Pilot deployment of an AI-driven conversational agent to collect student feedback, support instruction, and generate analytic insights for faculty. Designed for ethical deployment with human oversight and anti-misuse safeguards.
Practical approaches for model registry, reproducible pipelines, and secure serving that preserves privacy while enabling auditability and reproducible R&D.
Interactive dashboards to visualize engagement metrics, sentiment analysis, and course-level trends for faculty and administrators.
Assessment protocols and rubrics to validate chatbot behavior, minimize bias, and ensure pedagogical alignment.
We use encrypted repositories, least-privilege access, and metadata standards so data can be shared safely with collaborators while preserving student privacy.
Guided-assistance flows that scaffold student learning instead of giving direct answers, combined with guardrails against misuse.
These sample visualizations illustrate the type of trends we produce from chatbot interactions and engagement logs.
Interpretation: rising usage over the pilot period with peaks after targeted faculty prompts.
Interpretation: sentiment distribution from conversational surveys (positive/neutral/negative).
Design chatbot flows, IRB planning, faculty onboarding.
Deploy to selected courses, collect conversational & LMS metrics.
NLP sentiment analysis, dashboarding, and final recommendations.
Summaries of pilot findings, reproducible notebooks, and model evaluation notes.
Code examples, conversation flows, and anonymized datasets for re-use under appropriate agreements.