Two CS faculty members and their interdisciplinary research team have been named the recipients of a 2019 Digital Education and Learning Technology Acceleration grant. Chosen from a pool of 43 submissions, a proposal by a team including Gregory D. Hager and Mathias Unberath has been selected by the Johns Hopkins Provost’s Office to receive up to $75,000 to develop a new digital technology initiative that can enhance teaching and learning at Johns Hopkins.
Now in its second year, the DELTA program was founded with proceeds from the university’s massive open online courses, or MOOCs, offered in partnership with Coursera. Each winning project is led by a Johns Hopkins faculty member, and all teams will present their work next spring at the Provost’s Teaching with Technology DELTA Showcase.
The Mandell Bellmore Professor of Computer Science, Hager is known for his research on collaborative and vision-based robotics, time-series analysis of image data, and medical applications of image analysis and robotics, while Unberath invents human-centered solutions that are embodied in emerging technologies such as mixed reality and robotics. Joined by Malone Center for Engineering in Healthcare affiliates Satyanarayana Swaroop Vedula and Anand Malpani—as well as Brian Caffo, a professor of biostatistics in the Bloomberg School of Public Health—the computer scientists will develop an online course, Data Science for AI in Health Care.
The team seeks to develop online training to equip clinicians and engineers with the skills to design, interpret, and report research on machine learning and artificial intelligence in health care, with a new class for students in the Schools of Medicine and Engineering and a MOOC for external learners.
See the full list of 2019 DELTA grant recipients and their proposals »