Matjaz Gams

Matjaz Gams is a prominent researcher in the field of Artificial Intelligence and Ambient Intelligence. His work focuses on integrating AI into healthcare, wearable technologies, and smart environments. He has contributed significantly to activity recognition systems using sensor data, fall detection algorithms, and machine learning applications in medical diagnostics. Gams actively participates in international conferences such as IJCAI and UbiComp, often serving as an organizer and editorial board member.

His research spans interdisciplinary domains including:

• AI ethics and responsible research practices
• Smart city frameworks and urban digital transformation
• Healthcare innovations like medical chatbots and heart sound analysis
• Wearable sensor systems for fall prediction and cognitive load monitoring

Notable contributions include developing the Insieme platform for ambient intelligence applications and leading studies on cross-domain activity recognition challenges. Gams collaborates with multidisciplinary teams across academia and industry to advance real-world AI implementations.