Andrea Masciadri, born in 1991, is Ph.D. student at “Dipartimento di Elettronica, Informazione e Bioingegneria” of Politecnico di Milano. His research interests include Data Analysis and Machine Learning algorithms with a special focus to their application in the field of assistive technologies e.g. Human Behavior Drift detection for independent living. In 2015, he received the M.Sc. degree in Computer Science and Engineering with the thesis: “Unsupervised Methods for Activities of Daily Living Drift Modeling and Recognition”. In 2016 he become a member of Assistive Technology Group (ATG) of Politecnico di Milano, collaborating in the research and development of IoT innovative solutions.