Lydia E. Kavraki
Noah Harding Professor
of Computer Science and Bioengineering
Professor, Graduate Program in Structural and Computational Biology and Molecular Biophysics
Baylor College of Medicine
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.
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
Short Summary of Research Activities (as of 2011)