Research

Research Domains

Research Domains

Pioneering intelligent systems at the intersection of machine learning, control theory, and real-world applications.

AI in Medical Diagnostics

Developing explainable deep learning models for early disease detection using multi-modal imaging (ultrasound, mammography, MRI).

Deep Learning Medical Imaging XAI

Industrial Automation & Control

Designing intelligent control systems for predictive maintenance, quality control, and adaptive manufacturing processes.

Control Systems IoT Predictive Analytics

Explainable & Trustworthy AI

Creating transparent AI systems that provide interpretable explanations, crucial for building trust in high-stakes applications.

Transparency Interpretability Robustness

Adaptive & Learning Systems

Developing self-tuning and reinforcement learning-based controllers that adapt to dynamic and uncertain environments.

Reinforcement Learning System Dynamics Self-tuning

Multi-modal Data Fusion

Architecting systems to combine heterogeneous data sources (images, sensors, text) for superior decision-making.

Data Integration Sensor Fusion Decision Systems

AI for Sustainability

Applying AI to optimize energy consumption, manage resources, and develop intelligent systems for environmental monitoring.

Energy Optimization Smart Grids Climate Tech