Lydia Kavraki
Location: (Houston, TX)
Personal Research Web Page: http://www.kavrakilab.org
Keywords: Robotics including motion planning, mobile manipulation, multi-robot systems, planning for high-level goals, and reasoning with sensing and control uncertainty. Computational biology with emphasis on the analysis of molecular flexibility and motion for drug design. AI, Machine Learning, Robotics Education, Physical Computing, Algorithms, Bioinformatics, Biomedical Informatics, Systems Biology.
Posted on: Monday, May 9th, 2011
Broad Research Area: AI / Machine Learning / Robotics / Vision, Computer Science Education / Educational Technology, Databases / Information Retrieval / Data Mining, Other, Scientific/Medical Informatics, Theory / Algorithms
Research Interests:
In robotics we are interested in motion planning with emphasis on high-dimensional systems and kinodynamic planning, planning from high-level temporal goals, assembly planning, reasoning with sensing and control uncertainty, flexible object manipulation, physical modeling, probabilistic methods in robotics, the geometry of motion, and the use of new enabling technologies. We also develop educational modules and distribute software for teaching motion planning.
In computational structural biology and bioinformatics we develop tools on high-performance systems to model protein structure and function, understand biomolecular interactions and help analyze, in the long run, the molecular machinery of the cell. We integrate sequence information with three-dimensional structural information to analyze and represent molecular flexibility and motion. Our work in computer-assisted drug design has also led us to investigations in systems biology.
Contact Information:
The best way to contact me is by email: email obfuscated - click to reveal.
My office phone is 713 348-5737
