معرفی
Prof. Ran Gilad-Bachrach is a faculty member at Tel Aviv University, affiliated with the Iby and Aladar Fleischman Faculty of Engineering in the Department of Bio-Medical Engineering. His research focuses on Machine Learning, Deep Learning, and their applications in Health and Well-Being, including Private-AI and behavioral change technology. He leads the Machine Learning for Health and Well-Being Lab and has made significant contributions to AI in healthcare, encrypted data analysis, and gait recognition.
- Department: Bio-Medical Engineering
- University: Tel Aviv University
Research Interests span multiple disciplines:
- Machine Learning for Health Informatics
- Graph Neural Networks
- Privacy-Preserving AI
- Behavioral Intervention Systems
- Medical Data Analytics
Recent Publications demonstrate expertise in health-focused AI, graph learning, and medical big data analysis. Notable themes include encrypted neural networks, explainable AI, and mobile health interventions.
