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*CS Distinguished Lecture Series: "Automatic Annotation of Protein 
Function"*

Wednesday, March 20, 2013
11:00am
Research Hall, Room 163
*Lydia Kavraki*

*Speaker's Bio*

Lydia E. Kavraki is the Noah Harding Professor of Computer Science and 
Bioengineering at Rice University. She also holds an 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, formal methods in robotics, assembly planning, 
micromanipulation, and flexible object manipulation), as well as in 
computational structural biology, translational bioinformatics, and 
biomedical informatics (modeling of proteins and biomolecular 
interactions, large-scale functional annotation of proteins, 
computer-assisted drug design, and systems biology). Kavraki has 
authored more than 180 peer-reviewed journal and conference publications 
and is one of the authors of a robotics textbook titled "Principles of 
Robot Motion" published by MIT Press. She is heavily involved in the 
development of The Open Motion Planning Library (OMPL), which is used in 
industry and in academic research in robotics and bioinformatics. 
Kavraki is currently on the editorial board of the International Journal 
of Robotics Research, the ACM/IEEE Transactions on Computational Biology 
and Bioinformatics, the Computer Science Review, and Big Data. She is 
also a member of the editorial advisory board of the Springer Tracts in 
Advanced Robotics. 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 of Computing Machinery (ACM), a Fellow of the Institute 
of Electrical and Electronics Engineers (IEEE), a Fellow of the 
Association for the Advancement of Artificial Intelligence (AAAI), a 
Fellow of the American Institute for Medical and Biological Engineering 
(AIMBE), a Fellow of the American Association for the Advancement of 
Science (AAAS), and a Fellow of the World Technology Network (WTN). 
Kavraki was elected a member of the Institute of Medicine (IOM) of the 
National Academies in 2012. She is also a member of the Academy of 
Medicine, Engineering and Science of Texas (TAMEST) since 2012. Current 
projects at Kavraki's laboratory are described under 
http://www.kavrakilab.org and http://www.cs.rice.edu/~kavraki 
<http://www.cs.rice.edu/%7Ekavraki>.