Research

Developing interactive and explainable algorithms for survival analysis with applications in equipment failure prediction, customer churn analytics, risk forecasting, and patient outcome modeling.

Leveraging digital twin technology and reinforcement learning for adaptive decision support in smart buildings, supply chain, personalized learning, and healthcare treatment.

Advanced graph neural network architectures for analyzing evolving multimodal data with applications in brain disease detection, metabolic mechanisms, molecular analysis, and drug discovery.

Building intelligent multi-agent systems powered by large language models and retrieval-augmented generation for enterprise knowledge management, research assistance, and clinical decision support.

Developing ethical and privacy-preserving AI systems with applications in privacy-preserving analytics, secure model deployment, federated learning, and protected health data pipelines.