Faculty Profiles

Colleges and Departments

Dr. Anandi K Dutta

  • Assistant Professor at Ingram School of Engineering, College of Science & Engineering

Scholarly and Creative Works

2026

  • Islam, K. S., & Dutta, A. K. (n.d.). Hybrid ML-RL Approach for Smart Grid Stability Prediction and Optimized Control Strategy. In IEEE Smart World Congress.
  • Dutta, A. K., Mruthyunjaya, S., Islam, K. S., & Saddington, J. (n.d.). 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.
  • R, M. M., & Dutta, A. K. (n.d.). Residual Reinforcement Learning for Robust Reaching Task in a Digital Twin of UR5 Manipulator. In IEEE SouthEast Con 2026.
  • Ahmed, A., Dutta, A., & Rangelov, B. (n.d.). A Deep Learning Approach for Telemetry Anomaly Detection on CubeSat Platforms. 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.
  • 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
  • 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

2025

  • Dutta, A. K., Islam, K. S., & Valles Molina, D. (n.d.). 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.
  • Islam, K. S., Dutta, A. K., Anwar, A. S., & Menezes De Carvalho, M. (n.d.). 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).
  • 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.
  • Mruthyunjaya, S., Dutta, A. K., & Islam, K. S. (n.d.). Introducing AI-Driven IoT Energy Management Framework. In IEEE Smart World Congress 2025. IEEE. Retrieved from https://ieee-swc-2025.github.io/program/
  • Khan, S., & Dutta, A. K. (n.d.). Adaptive Thermal Comfort Modeling Using Machine Learning: a Generalizable, Low-Sensor Approach for Diverse Climates and Buildings. In IEEE Smart World Congress 2025.