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Faculty Profile Last Modified Time: 03:44:39 PM Tue, 5 Jul 2022   Contact Information Lydia E. Kavraki Associated Profiles  Noah Harding Professor, Computer Science, Professor, Bioengineering, Electrical and Computer Engineering, Mechanical Engineering, Rice University, Director - Ken Kennedy Institute   Mail Box: MS132, Duncan Hall, Room No.: 3106    kavraki@rice.edu     713-348-5737     713-348-5930    Web Link    Lab Webpage   Ken Kennedy Institute    Robotics, Mobile Robotics, Robot Motion Planning, Motion Planning, Path Planning    Associated Profiles Research and Expertise Affiliations Appointments  Research and Expertise Research Interests   Our laboratory develops novel computational methodologies for Robotics and Biomedicine. In robotics we are interested in enabling robots to work with people and in support of people. Our research develops the underlying methodologies for achieving this goal: algorithms for motion planning for high-dimensional kinodynamic systems, integrated methods for reasoning with sensing and control uncertainty, frameworks for learning and using experiences, and ways to instruct robots at a high level and collaborate with them. We work across different applications, from robots that will assist people in their home, to robots that would build space habitats. In biomedicine we develop computational tools on high-performance systems to model protein structure and function, understand biomolecular interactions, develop new medicinal drugs, and help analyze, in the long run, the molecular machinery of the cell. Our work has applications, among others, in personalized immunotherapy. Both domains above involve real-world problems. In both domains we seek to develop physical algorithms: algorithms that are capable of solving complex high-dimensional problems arising in real-world applications (e.g., move a robot from A to B or predict if a drug can bind to a receptor). Algorithms for physical problems differ in significant ways from those for traditional artificial-world problems. The latter algorithms have full control over and perfect access to the required data. In contrast, physical algorithms apply to objects in the real world that are subject to the independent and imperfectly modeled laws of nature. Through robotics and biomedicine, we study the fundamental issues arising when algorithms are designed for problems in the physical world and develop coherent solution frameworks that quantify, to the extent possible, the unavoidable tradeoff between accuracy and performance.  Publications/Creative Works Click here to search for this faculty member's publications on PubMed.  Affiliations  Training Grants Training Interdisciplinary Pharmacological Scientists  Research Consortia John S. Dunn GCC for Chemical Genomics GCC Consortium for Antimicrobial Resistance (GCC AMR)  Training Grants NLM Training Program in Biomedical Informatics & Data Science for Predoctoral and Postdoctoral Fello Computational Cancer Biology Training Program  Appointments Title Department / School Institution Professor Bioengineering Rice University Noah Harding Professor Computer Science Rice University

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