I have completed my Ph.D. in Computer Science and now work at the University of Florida College of
Education with the Anita Zucker Center for Excellence in Early Childhood Studies. My research blends
machine learning, learning sciences, LLMs, and interaction design to transform multimodal learning
data into insights that educators, coaches, and families can use.
I develop audio-, video-, and text-based data mining frameworks embedded in web applications, with a
focus on early childhood learning, caregiver and classroom interactions, and responsible analytics
that support practitioners in real settings.
Current Appointment
University of Florida, College of Education, Anita Zucker Center for Excellence in Early
Childhood Studies.
Focus Areas
LLM-enabled learning analytics for programming and early childhood education.
Audio, video, text, and sensing-data mining for classroom and caregiver interactions.
Responsible AI tools that surface actionable insights for educators and coaches.
Previously
Ph.D. researcher at Utah State University's Data Science and Applications Lab, Research
Associate at Pakistan's National Center of Artificial Intelligence, and Project Engineer at
USPCAS-E.
Research
Human-centered AI that supports real learning progress
Multimodal Learning Analytics
Designing audio-, video-, text-, and sensing-data pipelines to map learning and coaching
interactions and deliver timely support in education settings.
Classroom sensing
Caregiver interactions
Adaptive feedback
LLMs for Education
Embedding LLMs in web applications that generate learning materials, interpret student work,
and help practitioners turn complex signals into usable guidance.
Programming exercises
Human evaluation
Web applications
Responsible & Funded Research
Building collaborative research programs through proposals, publications, and AI tools that
support existing sensing-technology grants and community partnerships.
Grant collaboration
Model interpretability
Ethical deployment
Projects
Tools and studies shaping equitable learning experiences
CodeClimberAI Exercise Generator
Full-stack intelligent tutoring system delivering 11,700 curated Python exercises across
five modalities with keystroke analytics, OAuth authentication, and a MySQL-backed
progress history.
A novel framework that diagnoses and mitigates individual fairness violations in
probabilistic classifiers, offering interpretable dashboards for decision makers.
Interpretable keystroke features and ensemble strategies that achieve 80% accuracy in
predicting CS1 student performance while providing actionable feedback for instructors.
Machine learning workflows in Google Earth Engine that fuse multispectral imagery and
feature-oriented PCA to map industrial rock deposits for sustainable mining.
A reverse chronological snapshot of my scholarship. For the full record, download my CV or visit my
Google Scholar profile.
Latest
Student-perceived cognitive load of LLM-generated programming exercises
Muhammad Fawad Akbar Khan, Ludia Eka Feri, Ha Nguyen,
Hamid Karimi · 2025 IEEE 12th International Conference on Data Science and
Advanced Analytics (DSAA)
PaperRepository
Measures how CS1 students experience LLM-generated exercises using keystroke
telemetry, code metrics, and survey data, providing actionable guidance for
balancing difficulty and scaffolded AI feedback.
Human Evaluation of GPT for Scalable Python Programming Exercise Generation
M.F.A. Khan, M. Ramsdell, H. Nguyen, H. Karimi · IEEE
International Conference on Data Science and Advanced Analytics (DSAA) 2024 ·
Oct 2024 · pp. 1–10
Paper
Benchmarks GPT-4 Turbo for curriculum-aligned Python exercise generation, producing
11,700 CS1 problems and studying student and instructor feedback on quality and effort
to scale intelligent tutoring systems.
Assessing the Promise and Pitfalls of ChatGPT for Automated Code Generation
M.F.A. Khan, M. Ramsdell, E. Falor, H. Karimi · 17th
International Conference on Educational Data Mining (EDM) 2024 · Jul 2024 ·
pp. 83–95
PaperCode & data
Contrasts ChatGPT and human developers across 131 programming prompts using 14 code
quality metrics, highlighting strengths in data analysis tasks and revealing gaps in
visual reasoning scenarios.
AI in Education
Student-perceived cognitive load of LLM-generated programming exercises
Muhammad Fawad Akbar Khan, Ludia Eka Feri, Ha Nguyen,
Hamid Karimi · DSAA 2025
PaperRepository
Human Evaluation of GPT for Scalable Python Programming Exercise Generation
M.F.A. Khan, M. Ramsdell, H. Nguyen, H. Karimi · IEEE
DSAA 2024 · Oct 2024
Paper
Assessing the Promise and Pitfalls of ChatGPT for Automated Code Generation
M.F.A. Khan, M. Ramsdell, E. Falor, H. Karimi · EDM 2024
· Jul 2024
PaperCode & data
Deciphering Student Coding Behavior: Interpretable Keystroke Features and Ensemble
Strategies for Grade Prediction
M.F.A. Khan, J. Edwards, P. Bodily, H. Karimi · IEEE
International Conference on Machine Learning and Applications (ICMLA) 2022
PaperCode
Enhancing the Performance of Automated Grade Prediction in MOOC Using Graph Representation
Learning
S. Farokhi, A. Yaramal, J. Huang, M.F.A. Khan, X. Qi, H. Karimi
· IEEE International Conference on Big Data (BigData) 2023
Paper
AI in Fairness
A New Framework to Assess the Individual Fairness of Probabilistic Classifiers
M.F.A. Khan, H. Karimi · IEEE International Conference
on Machine Learning and Applications (ICMLA) 2022
PaperProject
Introduces PCIndFair, a diagnostic toolkit that spotlights individuals at risk of unfair
outcomes and guides mitigation strategies.
Enhancing Individual Fairness Through Propensity Score Matching
H. Karimi, M.F.A. Khan, H. Liu, T. Derr, H. Liu · IEEE
International Conference on Data Science and Advanced Analytics (DSAA) 2022
Paper
Aligns causal inference techniques with machine learning pipelines to reduce individual
unfairness in predictive systems.
Remote Sensing
Lithological Mapping of Kohat Basin in Pakistan Using Multispectral Remote Sensing Data
F. Elahi, K. Muhammad, S.D. Din, M.F.A. Khan, S. Bashir, M.
Hanif · Applied Sciences 12(23), 12147 (2022)
Article
A Fusion of Feature-oriented Principal Components of Multispectral Data to Map Granite
S.U. Din, K. Muhammad, M.F.A. Khan, S. Bashir, M. Sajid, A.
Khan · Applied Sciences 11(23), 11486 (2021)
Article
Mapping Alochemical Limestone Formations in Hazara, Pakistan Using Google Cloud Architecture
M.F.A. Khan, K. Muhammad, S. Bashir, S. Uddin, M. Hanif ·
ISPRS International Journal of Geo-Information 10(2), 58 (2021)
Article
Other
An Analysis of the Dynamics of Ties on Twitter
K. Kheiri, M.F.A. Khan, T. Derr, H. Karimi · IEEE
International Conference on Big Data (BigData) 2023
Paper
Longitudinal study of 120K Twitter users exploring how structural, content, and behavioral
signals forecast tie dissolution at scale.
Research, Teaching & Service
Building supportive learning experiences
University of Florida · Anita Zucker Center
2026 — Present
Develop audio-, video-, and text-based data mining frameworks embedded in LLM-powered
web applications for early childhood learning and coaching.
Build an externally funded research program through proposals, publications, and
collaborations with Center faculty, staff, students, and community partners.
Support sensing-technology grants by designing, deploying, and evaluating AI tools that
turn classroom and caregiver interactions into practitioner-ready insights.
Utah State University · Graduate TA
2021 — 2026
Facilitated labs and recitations for introductory programming and analytics courses,
supporting 100+ students each semester.
Designed interactive modules and data-driven feedback loops inside Canvas and custom
learning tools.
Coordinated grading, mentoring, and onboarding for undergraduate research assistants.
Mentorship & Outreach
Mentor undergraduate researchers on keystroke analytics, fairness in AI, and data
storytelling projects.
Organize workshops on ethical AI practices and data literacy for local educators and
community partners.
Volunteer judge and coach for regional hackathons and STEM education events.
Industry & Research Leadership
Led ML projects at Pakistan's National Center of AI focused on geospatial intelligence and
industrial analytics.
Developed predictive maintenance pipelines for aircraft hydraulics and wind energy assets
at USPCAS-E.
My Life
Moments beyond research
A peek at the places, people, and events that keep me inspired outside the lab.
Enojoying a sunset with friends after classes.Celebrating commencement with classmates who turned late-night study sessions
into lasting friendships.Undergraduate graduation, a proud moment shared with faculty who championed my research curiosity early
on.Welcoming new Aggies at international banquet with the International Student Council.Cheerful walks with classmates after classes.Film club adventures in Salt Lake City—capturing stories on and off camera.Presenting research at ICMLA 2022 and discussing ideas.Premiere night with the film club—our favorite way to learn from directors we admire.Brainstorming sessiong at the Filmmaking ClubFilmmaking Club Marketing, recruiting storytellers at the USU club fair—inspiring students to explore filmmakingScript-writing and scene planning sessions with the Filmmaking gang.
together.Geeking out over space tech during a NASA outreach event—dreaming about AI beyond Earth.A snow-day selfie every day needs a little adventure with good company.Late nights at the lab, immersed in remote sensing data that sparked my research journey.
Contact
Let’s collaborate
I’m always open to new research collaborations, invited talks, and partnerships that align
AI innovation with meaningful learning outcomes.