CS&E Welcomes Four New Faculty
Join us in welcoming new assistant professors Favonia, Feng Qian, Evan Suma Rosenberg, and Steven Wu to the 2018-19 academic year. Their research specialties span a wide range of topics—everything from software engineering and programming languages, to robotics and AI, to distributed systems and security, to graphics, visualizations, and networks.
Favonia (Kuen-Bang Hou) received their Ph.D. in Computer Science from Carnegie Mellon University and served as a postdoctoral member at the Institute for Advanced Study, whose primary interest lies in making things more precise and reliable. In recent years, Favonia and their collaborators have been verifying important results in homotopy theory by computers, developing cubical computational type theory, and building the proof assistant RedPRL based on the newly developed type theory. They have also been working on property-based testing and compiler correctness in hopes of improving software quality.
Feng Qian’s research covers the broad areas of mobile systems, VR/AR, computer networking, and system security. He obtained his Ph.D. from the University of Michigan. He is a recipient of several awards including a Key Contributor Award at AT&T Shannon Labs, an NSF CRII Award, a Google Faculty Award, an AT&T VURI Award, the best paper award at ACM CoNEXT 2016, and several best paper nominees.
Evan Suma Rosenberg
Evan Suma Rosenberg received a Ph.D. in 2010 from the Department of Computer Science at the University of North Carolina at Charlotte. His research interests are situated at the intersection of virtual reality and HCI, encompassing immersive technologies, 3D user interfaces, and spatial interaction techniques. Rosenberg has co-authored over 80 academic publications, nine of which have been recognized with conference awards, and his online research videos have been viewed over 2.4 million times. He has directed the development of multiple widely used free software projects and contributed to the MxR Lab's open-source initiative, which has had a major disruptive impact on the virtual reality industry.
Steven Wu received his Ph.D. in Computer Science from the University of Pennsylvania in 2017. His doctoral dissertation “Data Privacy Beyond Differential Privacy” received the 2017 Morris and Dorothy Rubinoff Dissertation Award. After receiving his Ph.D., Wu spent a year as a post-doctoral researcher at Microsoft Research-New York City. His research focuses on algorithm design under different social constraints. In particular, his primary research interest is on data privacy, specifically differential privacy, where he builds tools for data analysis under the constraint of privacy preservation. His recent research also studies algorithmic fairness, especially in the context of machine learning, where he investigates how we can prevent bias and unfairness in algorithmic decision making. He examines problems in these areas using methods and models from machine learning theory, economics, optimization, and beyond.