معرفی
Adane Nega Tarekegn is a Research Fellow at the Department of Information Science and Media Studies, University of Bergen, affiliated with the Intelligent Information Systems (I2S) research group. His work focuses on machine learning applications in healthcare, particularly frailty prediction and human activity recognition using sensor data. He holds a strong background in multi-label classification, genetic programming, and deep learning frameworks.
Research interests include developing computational models for medical diagnostics, optimizing sensor fusion techniques, and addressing imbalanced datasets in healthcare contexts. His recent work emphasizes wearable sensor integration for gait analysis and neurological health monitoring.
Prominent contributions include predictive modeling for elderly frailty conditions and methodologies for multi-label classification challenges. Collaborations span institutions like the University of Torino and Sungkyunkwan University. His research bridges AI innovation with real-world healthcare challenges.
