Associate Research Professor

A member of the Malone Center for Engineering in Healthcare and the Johns Hopkins Data Science and AI Institute, Swaroop Vedula leads the AI for Surgery Lab at JHU, developing and translating real-world engineering solutions to key problems in surgical care. Research in his lab is focused on innovations in three areas: (1) autonomous surgical care workflows; (2) surgeon-machine teaming, e.g., machines that can reason with surgeons through natural language and other modalities; and (3) assured surgical care for all. Vedula’s research blends engineering, surgical data science, and epidemiology to impact multiple interventional care specialties including ophthalmology, otolaryngology – head and neck surgery, thoracic surgery, general surgery, urology, gynecology, and gastroenterology. His research on analysis of surgical performance, supported by National Institutes of Health grants, involves translation of AI technologies for analysis of video and other sensor data through user-friendly applications that can be accessible worldwide.