Anna Ferrari

Anna Ferrari is a Researcher at the Research Institute for Statistics and Information Science, University of Geneva. She holds a Ph.D. from the University of Milano-Bicocca and specializes in human activity recognition through sensor-based systems, particularly using inertial data and deep learning techniques. Her work focuses on model personalization and the development of adaptive classification systems for diverse datasets.

Her research interests include machine learning applications in sensor technology, data science methodologies for human activity analysis, and the integration of wearable devices. She has contributed to frameworks for collecting and unifying inertial signals to improve activity recognition accuracy.

Anna Ferrari's publications span trends in smartphone-based activity recognition, personalized deep learning models, and sensor data homogenization. She actively maintains professional profiles on ResearchGate, LinkedIn, and Google Scholar, reflecting her commitment to academic collaboration and innovation.