I am a fourth-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 compressing neural networks via coresets, weighted subsets of the original data points or parameters that provably approximate the original set, for machine learning algorithms.


  1. Cenk Baykal*, Lucas Liebenwein*, Igor Gilitschenski, Dan Feldman, Daniela Rus, "Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds," in Proc. International Conference on Machine Learning (ICLR), May 2019 PDF.
  2. Harry Lang*, Cenk Baykal*, Najib Abu Samra, Tony Tannous, Dan Feldman, and Daniela Rus, "Deterministic Coresets for Stochastic Matrices with Applications to Scalable Sparse PageRank," in Proc. Theory and Applications of Models of Computation (TAMC), April 2019 PDF.
  3. Stephanie Gil, Cenk Baykal, and Daniela Rus, "Resilient Multi-Agent Consensus using Wi-Fi Signals," in IEEE Control Systems Letters, 2019 PDF.
  4. Lucas Liebenwein*, Cenk Baykal*, Igor Gilitschenski, Sertac Karaman, and Daniela Rus, "Sampling-Based Approximation Algorithms for Reachability Analysis with Provable Guarantees," in Proc. Robotics: Science and Systems (RSS), June 2018 PDF.
  5. Cenk Baykal, Chris Bowen, and Ron Alterovitz, "Asymptotically Optimal Kinematic Design of Robots using Motion Planning," in Autonomous Robots, 2018 PDF.
  6. Alan Kuntz, Chris Bowen, Cenk Baykal, Arthur W. Mahoney, Patrick L. Anderson, Fabien Maldonado, Robert J. Webster III, and Ron Alterovitz, "Kinematic Design Optimization of a Parallel Surgical Robot to Maximize Anatomical Visibility via Motion Planning," in Proc. IEEE International Conference on Robotics and Automation (ICRA), May 2018 PDF.
  7. 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)

  8. 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.
  9. 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).
  10. 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.
  11. 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.
  12. 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.


My CV is accessible here (last updated: 01/2019).


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.