Cohn, C., Rayala, S., Srivastava, N., Fonteles, J. H., Jain, S., Luo, X., Mereddy, D., et al. (2026). A Theory of Adaptive Scaffolding for LLM-Based Pedagogical Agents. AAAI Conference on Artificial Intelligence.
Fonteles, J. H., Cohn, C., Ayalon, E., Zhou, M., Ashwin, T. S., Davalos, E., Li, Z., Rayala, S., Mereddy, D., et al. (2026). Analyzing Embodied Learning in Classroom Settings: A Human-in-the-Loop AI Approach for Multimodal Learning Analytics. Learning and Instruction.
Mereddy, D., Beedareddy, J. (2024). Enabling Next-Generation Smart Homes through BERT-Based Personalized Food Recommendations (RecipeBERT). IEEE WI-IAT.
Fonteles, J. H., Cohn, C., Mereddy, D., Ashwin, T. S., Biswas, G. (2025). Exploring Agentic Multimodal Late Fusion with LLMs for Embodied Learning.
Mereddy, D., Quinones-Grueiro, M., Ashwin, T. S., et al. (2025). Trainee Action Recognition through Interaction Analysis in CCATT Mixed-Reality Training. Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC).
Etherton, K., Biswas, G., Quinones-Grueiro, M., Mereddy, D., et al. (2025). Application of Computer Vision to Detect Training Interactions in USAF Medical Environments. Military Health System Research Symposium (MHSRS).
Mereddy, D. (2023). Vision-Based Automatic Groceries Tracking System – Smart Homes. IEEE WI-IAT.
Mereddy, D. (2022). Travel Itinerary Creation Based on Data Mining Techniques. International Journal of Data Mining & Management Systems (IJDMS).
Mereddy, D., et al. (2015). Smart Dual Axis Solar Tracking System. IEEE ICESA.
Mereddy, D. Cascaded Low-Rank Adaptation for Multimodal Fusion in Sequential Activity Recognition. Preprint.
Presented “The Real Smart Home” at Data Science Conference (DSC), 2022.
Speaker, Ai4 Conference Panel: Advanced NLP Use Cases, 2023.
Presented project at CNI Spring Meeting, 2018.
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