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Publications

* equal contributor
† denotes undergraduate student researcher mentored by Dr. Jamell Dacon
‡ denotes graduate student researcher mentored by Dr. Jamell Dacon

NOTE: Publications are listed in reverse chronological order, with the most recent publications appearing first. (Highly Refereed Conference Papers i.e., acceptance based on peer review of full paper presented as oral/spot light talks or poster presentation)

Conferences

DeBoris Leonard‡*, Ricky Gole‡* and Jamell Dacon. “Prescriptive Persistence: Quantifying the Breakdown in Human-AI Pedagogical Co-Regulation in ELL Writing Feedback”. In the Proceedings of the 13th ACM Conference on Learning at Scale (L@S) 2026. (acceptance rate 22.0%)

Ricky Gole ‡and Jamell Dacon. “The Semantic Gap in Behavioral Embeddings: Why Linear Methods Fail for Educational RAG in Mathematics”. In the Proceedings of 19th International Conference on Educational Data Mining (EDM) 2026. (acceptance rate 23.0%)

Jamell Dacon, Ricky Gole‡, Anuva Nuzhat†, Holy Agyei†, Obaloluwa Wojuade†, Mikayla Brown†. “BIO-DQNA: Meta-Learning and Contrastive Reinforcement Learning for Personalized Comorbidity Management in Type 1 Diabetes and Hypertension”. In Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. (acceptance rate 19.0%)

Mikayla Brown†, et al. “Towards Data-Driven Diabetes Care: Identifying Key Biomarkers and Risk Factors for Type 2 Diabetes through AI Models”. Society of Epidemiologic Research 2025 Mid-Year Meeting (SER), 2025. (Non-archival) (acceptance rate unknown)

Chelsea Minard†, et al. “Exploring Socioeconomic and Demographic Factors in Coronary Artery Disease: Using AI and Knowledge Graphs to Identify Healthcare Inequities”. Society of Epidemiologic Research 2025 Mid-Year Meeting (SER), 2025. (Non-archival) (acceptance rate unknown)

Chukwuemeka Obasi†, et al. “Improving Hypertension Prediction and Management through AI: A Focus on Socioeconomic, Environmental, and Demographic Influences”. Society of Epidemiologic Research 2025 Mid-Year Meeting (SER), 2025. (Non-archival) (acceptance rate unknown)

Journals

Under Review

Workshops/ Bridge Programs

Jamell Dacon, et al. “Optimizing Insulin Dosing for Type 1 Diabetes with Thyroid Dysfunction Using Q-Learning: A Personalized Approach to Chronic Disease Management”. In the Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026. (Best Paper Runner-up Award) (acceptance rate 26.0%)

Jamell Dacon, et al. “Manifold-Informed Cohort Discovery (MICD): A Framework for Uncovering Latent Risk Signals in Imbalanced Healthcare Data”. In the Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026. (acceptance rate 26.0%)

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