College of Engineering and Computing

Anonymous donor commits additional $5.3 million to advance research. An interdisciplinary George Mason University research team is breaking new ground in using artificial intelligence to support victims of interpersonal violence. Led by Kat Scafide and Janusz Wojtusiak of the College of Public Health and David Lattanzi of the College of Engineering and Computing, the EAS-ID (Evidence-based AI Software for Injury Detection) project has successfully completed Phase 1: development of a working prototype of a mobile app designed to accurately capture and document bruises. The tool has the potential to transform how clinicians and frontline professionals identify, record, and communicate evidence of injury, particularly in cases of interpersonal violence.

Research Interests: Artificial Intelligence and Machine Learning

Research Interests: Health Informatics, public health informatics, mental health informatics, and computational social science.

Research Interests: Biomechanics, Assistive Technology, Biomedical Imaging, Musculoskeletal Modeling, Neuroengineering, Neuroprosthetics, Rehabilitation Engineering, Sensorimotor Integration, Ultrasound

Research Interest: Environmental Engineering

Research Interests: Data Mining, Data Analytics, Machine Learning

Research Interests: Robotics in smart cities, data analytics, artificial intelligence for structural engineering, and structural health modeling.