Faculty Profiles

Mruthyunjaya, S., Dutta, A. K., & Islam, K. S. (2026). Introducing AI-Driven IoT Energy Management Framework. In IEEE Smart World Congress 2025. IEEE. https://doi.org/10.1109/SWC65939.2025.00305

Islam, K. S., & Dutta, A. K. (2026). Hybrid ML-RL Approach for Smart Grid Stability Prediction and Optimized Control Strategy. In IEEE Smart World Congress. https://doi.org/10.1109/SWC65939.2025.00304

Dutta, A. K., Islam, K. S., & Valles Molina, D. (2026). Edge-AI Framework for Air Quality Index (AQI) Forecasting with Quantized Deep Learning Models. In 2026 IEEE 16th Annual Computing and Communication Workshop and Conference (CCWC). IEEE. https://doi.org/10.1109/CCWC67433.2026.11393866

Islam, K. S., Dutta, A. K., Anwar, A. S., & Menezes De Carvalho, M. (2026). Reasoning under Uncertainty in Multi-Agent Reinforcement Learning (MARL) with Upper Confidence Bound (UCB) Technique. In IEEE Annual Computing and Communication Workshop and Conference (CCWC). https://doi.org/10.1109/CCWC67433.2026.11393838

Somvanshi, S., Islam, Md. M., Rafe, A., Tusti, A. G., Chakraborty, A., Baitullah, A., … Das, S. (2026). Bridging the Black Box: A Survey on Mechanistic Interpretability in AI. ACM Computing Surveys. https://doi.org/https://doi.org/10.1145/3787104

Barua, S., Das, S., & Dutta, A. (2026). A multimodal data framework for motorcyclist injury severity on rural undivided roads. Scientific Reports. https://doi.org/10.1038/s41598-026-40755-5

Khan, S., & Dutta, A. K. (2026). Adaptive Thermal Comfort Modeling Using Machine Learning: a Generalizable, Low-Sensor Approach for Diverse Climates and Buildings. In IEEE Smart World Congress 2025. https://doi.org/10.1109/SWC65939.2025.00303

Dutta, A. K., Mruthyunjaya, S., Islam, K. S., & Saddington, J. (2026). Mentalic Net: Development of RAG-based Conversational AI and Evaluation Framework for Mental Health Support. In IEEE International Symposium on Emerging Metaverse (ISEMV).

Dutta, A. K., Mruthyunjaya, S., & Li, C. (2026). Interpretable/Explainable Predictive Modeling with Perioperative Dataset. In The 59th Hawaii International Conference on System Sciences (HICSS). https://doi.org/https://hdl.handle.net/10125/111809

Chettri, G., Dutta, A. K., & Das, S. (2026). CognitiveSky: Scalable Sentiment and Narrative Analysis for Decentralized Social Media. In The 59th Hawaii International Conference on System Sciences (HICSS). https://doi.org/https://hdl.handle.net/10125/111760

B, S., Dutta, A. K., Rahman, T., & Khan, Md. S. U. (n.d.). Grain Boundary Segmentation in Additively Manufactured Stainless Steel 316L Using Transformer-Based Vision Model. In IEEE SouthEast Con 2026.

P, S., Dutta, A. K., & Das, S. (n.d.). Characterizing and Predicting Wildfire Evacuation Behavior: A Dual-Stage ML Approach. In IEEE SouthEast Con 2026.

Rashid, A., Dutta, A. K., & Chen, Y. (n.d.). Prediction and Optimization of S11 (Reflection Coefficient) in Log-Periodic Toothed Antennas on Flexible Kapton Substrate Using Machine Learning. In IEEE SouthEast Con 2026.

Roy, A., & Dutta, A. K. (n.d.). Post-Earthquake Structural Damage Classification from Ground-Level Imagery Using Transfer-Learning Convolutional Neural Networks. In IEEE SouthEast Con 2026.

Ahmed, A., Dutta, A., & Rangelov, B. (n.d.). Unsupervised Telemetry Anomaly Detection for CubeSats Across OPSS-SAT and SatNOGS Data. In IEEE SouthEast Con 2026.

M, S., & Dutta, A. K. (n.d.). Framework for the Design and Evaluation of Patient-Friendly AI-Generated Medical Reports. In IEEE SouthEast Con 2026.

Mimi, M. S., Das, S., & Dutta, A. K. (2026). Non-spatial AI Modeling to Estimate Traffic Volume Measures on Local Roadways. International Journal of Urban Sciences. https://doi.org/10.1080/12265934.2025.2612094

Somvanshi, S., Islam, M. M., Chettri, G., Chakraborty, R., Mimi, M. S., Shuvo, S. A., … Das, S. (2025). From Tiny Machine Learning to Tiny Deep Learning: A Survey. ACM Computing Surveys. https://doi.org/10.1145/3776588

Barua, S., Dutta, A. K., & Das, S. (2025). Modeling Distracted Driving: Analyzing Driver Gaze, Vehicle Positioning, and Psychological Response for Enhanced Traffic Safety,. In 2025 IEEE Conference on Artificial Intelligence  (IEEE CAI).

Somvanshi, S., Chakraborty, R., Dutta, A. K., & Das, S. (2025). Crash Severity Analysis of Child Bicyclists Using Arm-Net and Mambanet. In 2025 IEEE Conference on Artificial Intelligence (IEEE CAI).

Kaya, E. B., Aslan, S., Valles Molina, D., Dutta, A. K., & Iscan, S. (2025). Motor Fault Diagnosis Across Variable Power Using Deep Learning. IEEE. https://doi.org/10.1109/CITS65975.2025.11099471

Kayastha, R., Kisi, K. P., & Dutta, A. K. (2025). Plantar Pressure Distribution During Stooping by Novice Roofers: Effects of Slope ANgles Across Foot Zones and Machine Learning-Based Classification.