I am a third-year Ph.D. student at the Massachusetts Institute of Technology (MIT) working with Professor Daniela Rus in the Computer Science and Artificial Intelligence Laboratory (CSAIL). My research interests predominantly lie in theoretical aspects of Artificial Intelligence and Robotics. Currently, I am working on coresets, weighted subsets of the original data points that provably approximate the original set, for machine learning algorithms.


  1. Cenk Baykal, and Ron Alterovitz, "Asymptotically Optimal Design of Piecewise Cylindrical Robots using Motion Planning," in Robotics: Science and Systems (RSS), July 2017 PDF (slides, poster).

    (Best Paper Award)

  2. Cenk Baykal, Guy Rosman, Sebastian Claici, and Daniela Rus, “Persistent Surveillance of Events with Unknown, Time-varying Statistics,” in Proc. IEEE International Conference on Robotics and Automation (ICRA), May 2017 PDF.
  3. Cenk Baykal, Guy Rosman, Kyle Kotowick, Mark Donahue, and Daniela Rus, "Persistent Surveillance of Events with Unknown Rate Statistics," in Proc. Workshop on the Algorithmic Foundations of Robotics (WAFR), Dec. 2016 PDF (supp, video).
  4. Cenk Baykal, Luis G. Torres, and Ron Alterovitz, "Optimizing Design Parameters for Sets of Concentric Tube Robots using Sampling-based Motion Planning," in Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Sep. 2015, pp. 4381-4387 PDF.
  5. David Wilkie, Cenk Baykal, and Ming Lin, "Participatory Route Planning" in Proc. International Conference on Advances in Proc. Geographic Information Systems (ACM SIGSPATIAL), Nov. 2014 PDF.
  6. Luis G. Torres, Cenk Baykal, and Ron Alterovitz, "Interactive-rate Motion Planning for Concentric Tube Robots," in Proc. IEEE International Conference on Robotics and Automation (ICRA), May 2014, pp. 1915-1921 PDF.


  1. Cenk Baykal, "Algorithms for Persistent Surveillance and Autonomy," S.M. Thesis, Massachusetts Institute of Technology, May 2017 PDF.


  1. 6.854 (Advanced Algorithms) - Final Project, May 2016 PDF.
  2. 6.856 (Randomized Algorithms) - Cenk Baykal, Lucas Liebenwein, and Wilko Schwarting, "Scalable Support Vector Machine Training," May 2017 PDF (arXiv).
  3. 6.829 (Computer Networks) - Cenk Baykal, Wilko Schwarting, and Alex Wallar, "Detection of AQM on Paths using Machine Learning Methods," December 2016 PDF (arXiv).


My CV is accessible here (last updated: 02/2017).


My office is located at 32-376 Ray and Maria Stata Center, Massachusetts Institute of Technology, Cambridge, MA 02139. The best way to get in touch with me is via email: baykal@mit.edu. You can also find me on other sites listed below.