Milan Sonka
Research interests include medical imaging, image segmentation, and automated knowledge-based image analysis in a variety of applications and in various image modalities.
Read More
Research interests include medical imaging, image segmentation, and automated knowledge-based image analysis in a variety of applications and in various image modalities.
Read More
The central theme of research in my laboratory is the rational design of new methods and catalysts for use in organic synthesis. As well as using traditional screening and development approaches, we employ several novel computational tools for the discovery and optimization of new reagents and catalysts. These new synthetic methods comprise the key steps
Read More
One research interest is in the de novo design, in which one designs proteins or drugs beginning from first principles. This approach critically tests our understanding of protein folding and function, while also laying the groundwork for the design of molecules with properties unprecedented in nature.
Read More
My career goal is to help the Internet grow. Since 2010 I have been leading a multi-campus research project on the development of a new Internet architecture called Named Data Networking (NDN) funded by NSF. We will be celebrating NDN project’s 5th anniversary in September (2015). Although NDN has attracted a fair amount of media attention (e.g. 1, 2, 3), it
Read More
Professor Lele’s research combines numerical simulations with analytical modeling to study fundamental unsteady flow phenomena, turbulence, flow instabilities, and flow-generated sound. Recent projects include simulation and modeling of high-speed jets and shock-cell noise, exploitation of flow instabilities for enhanced mixing and for reducing the vortex-wake hazard from an airplane, new approaches for active/passive noise control,
Read More
My research is to develop trustworthy agents that can communicate effectively with people and improve over time through interaction. I broadly identify with the machine learning (ICML, NIPS) and natural language processing (ACL, NAACL, EMNLP) communities. Agents need to be able to “understand natural language.” Much of my work has centered around the task of
Read More