Two faculty members in the Department of Computer Science were selected to receive Junior Faculty Awards from the Johns Hopkins Data Science and AI Institute. Daniel Khashabi and Mathias Unberath were introduced as inaugural recipients at the institute’s end-of-semester social on May 9.
The Junior Faculty Awards honor tenure-track and research faculty members at the assistant professor level for their outstanding academic achievements in the fields of data science and AI and their contributions to the data science and AI community at Johns Hopkins. Each scholar is nominated by a department head or center/institute director and will be granted discretionary funds to support current or developing research and academic endeavors.
A member of the Center for Language and Speech Processing, Khashabi focuses on the computational foundations of intelligent behavior within various mediums of communication, particularly natural language. This involves developing formalisms that characterize and result in natural language processing systems that are capable of understanding and reasoning with—and about—an uncertain world, while being general enough to handle a broader space of contexts. Khashabi is also the recent recipient of an Amazon Research Award.
A core faculty member in the Malone Center for Engineering in Healthcare and the Laboratory for Computational Sensing and Robotics, Unberath works to advance health care by creating collaborative intelligent systems that support clinical workflows. Through synergistic research on imaging, computer vision, machine learning, and interaction design, he builds human-centered solutions that are embodied in emerging technology, such as mixed reality and robotics. He has published more than 100 journal and conference articles and has received numerous other awards, grants, and fellowships, including a recent National Science Foundation Early CAREER Award.