Lydia E. Kavraki Noah Harding Professor Department of Computer Science Department of Bioengineering (Joint Appointment) Rice University Graduate Program in Structural and Computational Biology and Molecular Biophysics (Joint Appointment) Baylor College of Medicine

Short Biographical Sketch

Lydia E. Kavraki is the Noah Harding Professor of Computer Science and Professor of Bioengineering at Rice University. She also holds a joint appointment at the Department of Structural and Computational Biology and Molecular Biophysics at the Baylor College of Medicine in Houston. Kavraki received her B.A. in Computer Science from the University of Crete in Greece and her Ph.D. in Computer Science from Stanford University working with Jean-Claude Latombe. Her research contributions are in physical algorithms and their applications in robotics (robot motion planning, hybrid systems, assembly planning, micromanipulation, and flexible object manipulation) and computational structural biology and bioinformatics (modeling of proteins and biomolecular interactions, computer-assisted drug design and the large-scale functional annotation of proteins). Kavraki has authored more than 100 peer-reviewed journal and conference publications and is one of the authors of a new robotics textbook titled `Principles of Robot Motion' published by MIT Press. She is currently a a member of the editorial advisory board of the Springer Tracts in Advanced Robotics, an associate editor for the IEEE Transactions on Computational Biology and Bioinformatics and for the Computing Surveys. Kavraki is the recipient of the Association for Computing Machinery (ACM) Grace Murray Hopper Award for her technical contributions. She has also received an NSF CAREER award, a Sloan Fellowship, the Early Academic Career Award from the IEEE Society on Robotics and Automation, a recognition as a top young investigator from the MIT Technology Review Magazine, and the Duncan Award for excellence in research and teaching from Rice University. Kavraki is a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), a Fellow of the American Institute for Medical and Biological Engineering (AIMBE) and a Fellow of the World Technology Network. She currently serves as a Distinguished Lecturer for the IEEE Robotics and Automation Society. Current projects at Kavraki's laboratory are described in http://www.kavrakilab.org. More information on Kavraki's work can be found in: http://www.cs.rice.edu/~kavraki.