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/10.1145/3787104

P, S., Dutta, A. K., & Das, S. (2026). Characterizing and Predicting Wildfire Evacuation Behavior: A Dual-Stage ML Approach. In IEEE SouthEast Con 2026. https://doi.org/10.1109/SoutheastCon63549.2026.11476300

Rashid, A., Dutta, A. K., & Chen, Y. (2026). Prediction and Optimization of S11 (Reflection Coefficient) in Log-Periodic Toothed Antennas on Flexible Kapton Substrate Using Machine Learning. In IEEE SouthEast Con 2026. https://doi.org/10.1109/SoutheastCon63549.2026.11475983

Roy, A., & Dutta, A. K. (2026). Post-Earthquake Structural Damage Classification from Ground-Level Imagery Using Transfer-Learning Convolutional Neural Networks. In IEEE SouthEast Con 2026. https://doi.org/10.1109/SoutheastCon63549.2026.11476095

Ahmed, A., Dutta, A., & Rangelov, B. (2026). Unsupervised Telemetry Anomaly Detection for CubeSats Across OPSS-SAT and SatNOGS Data. In IEEE SouthEast Con 2026. https://doi.org/10.1109/SoutheastCon63549.2026.11476507

M, S., & Dutta, A. K. (2026). Framework for the Design and Evaluation of Patient-Friendly AI-Generated Medical Reports. In IEEE SouthEast Con 2026. https://doi.org/10.1109/SoutheastCon63549.2026.11476042

Mimi, M. S., Islam, M. M., Das, S., Dutta, A. K., & Dadashova, B. (2026). Semantic modelling of pedestrian behaviours at shared-use path crossings: insights from BERT-based architectures and structural topic modelling. Transportmetrica A: Transport Science, 1–53. https://doi.org/10.1080/23249935.2026.2649647

Barua, S., Dutta, A. K., & Das, S. (2026). A multimodal data framework for motorcyclist injury severity on rural undivided roads. Scientific Reports, 16(1). 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

Bristi, S. D., Dutta, A. K., Rahman, T., & Uddin Khan, M. S. (2026). Grain Boundary Segmentation in Additively Manufactured Stainless Steel 316L Using Transformer-Based Vision Model. In SoutheastCon 2026 (pp. 1–8). IEEE. https://doi.org/10.1109/southeastcon63549.2026.11476503

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

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).

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.

Somvanshi, S., Chakraborty, R., Das, S., & Dutta, A. K. (2025). Crash Severity Analysis of Child Bicyclists Using Arm-Net and Mambanet. In 2025 IEEE Conference on Artificial Intelligence (CAI) (pp. 821–824). IEEE. https://doi.org/10.1109/cai64502.2025.00146