Özlem Durmaz - Incel

Özlem Durmaz - Incel is an Associate Professor specializing in pervasive systems with a focus on machine learning, wearable computing, and IoT applications. Her research explores sustainable computing, edge AI, and human activity recognition through sensor-based systems. She contributes to UN Sustainable Development Goals by addressing climate crisis challenges in computing infrastructure.

• Expertise: Human Activity Recognition, Edge Computing, Wearable Sensors, Federated Learning
• Key Projects: Smart health monitoring, energy-efficient computing, gesture recognition

Her work spans 38 peer-reviewed publications since 2005, with notable contributions in IEEE Internet Computing and Diagnostics. Research areas include stress detection via wearables and resource optimization in mobile applications.

Notable collaborations involve global institutions, focusing on sustainable computing and health informatics. Current projects emphasize real-time data processing and privacy-preserving federated learning frameworks.