Dr. Newman’s research seeks to develop principles, methods, and tools to guide the design of ubiquitous computing applications (i.e., applications and systems that incorporate mobile, IoT, and “smart” technology at their core). From early work in end-user configuration of complex environments to more recent work in smart home interaction and personal informatics for health, he has contributed over fifty peer-reviewed articles to the scientific literature in Human-Computer Interaction, Ubiquitous Computing, and Health Informatics. His work draws upon a variety of methods, most prominently featuring qualitative research for gaining a deep understanding of users in particular domains, design, prototyping, and software development for embodying novel design approaches, and small-to-medium-scale field deployments to evaluate novel designs in use. Dr. Newman also employs experimental methods, research through design, online ethnography, crowd-based approaches, and machine learning needed.