Teaching and Mentoring
All courses below are in the Department of Computer Science at North Carolina A&T State University unless noted.
Instructor
Artificial Intelligence and Machine Learning (COMP 365)InstructorSpring 2025
- Sole instructor for 55 undergraduate students; delivered all lectures and supervised one graduate teaching assistant.
- Redesigned the course around hands-on labs in which students build and evaluate working AI systems, shifting the emphasis from code completion toward critical evaluation of model outputs.
- Designed the lecture sequence, recitations, labs, homework sets, and quizzes. These materials were adopted in later offerings.
Artificial Intelligence and Machine Learning (COMP 365)Supervising InstructorFall 2025
- Oversaw the course's delivery, materials, and assessment in the semester after my own offering.
- Mentored and supervised the incoming instructor through their first semester teaching the course.
Lead Teaching Assistant
Generative AI and Large Language Models (COMP 485)Co-designed the course curriculum and instructional materials; lead recitations and hands-on lab sessions and grade homework and quizzes.Fall 2026
Security of Emergent Networks (COMP 826)Led recitations and hands-on lab sessions and graded homework and quizzes.Spring 2023, Spring 2026
Artificial Intelligence and Machine Learning (COMP 365)Led recitations and hands-on lab sessions; wrote and graded quizzes and homework sets.Fall 2023 – Fall 2024
Curriculum Development
- ABET-aligned course improvement (COMP 365). Through the course assessment and continuous-improvement process tied to ABET-aligned learning outcomes, identified where students needed more practice moving from concepts to practical application, then developed two new instructional modules with hands-on labs and refined them the following semester based on student performance.
- New course design (COMP 485). Contributed to the curriculum, syllabus, topic sequence, instructional materials, and hands-on labs for Generative AI and Large Language Models, first offered in Fall 2026.
- NSF CyberTraining (#2416992). Developed labs on retrieval-augmented generation, prompt engineering, and AI model evaluation for COMP 365, and LLM-focused materials for COMP 485.
- NSF SaTC EDU. Helped develop hands-on educational activities in cybersecurity, artificial intelligence, and emerging computing topics.
Mentoring
Kennedy MarshM.S. in Computer ScienceFall 2024 – Fall 2025
- Mentored Kennedy through her master's thesis, "RAG-Enhanced LLMs for Network Traffic Analysis," which she successfully defended in September 2025.
- Co-author on our IEEE ICNC 2026 paper, ReGAIN: Retrieval-Grounded AI Framework for Network Traffic Analysis.
Guest Lectures
Transformers and Retrieval-Augmented Generation2026
Prompt Engineering in Action: Applications of Generative AI2023
From the Internet of Things to Fog ComputingDistributed Systems course, Azad University2018
Cloud ComputingDistributed Systems course, Azad University2017