Curriculum Vitae

Education

• University of California, Los Angeles – Samueli School of Engineering
  • Ph.D. Electrical and Computer Engineering, Expected 2024
• University of California, San Diego – Jacobs School of Engineering
  • M.S. Electrical Engineering, Conferred June 2018
    • Intelligent Systems, Robotics, and Control
    • Thesis: “Continuous Behavior Acquisition in Clinical Environments”
  • B.S. Electrical Engineering, Conferred June 2017
    • Machine Learning and Controls

Research Experience

• Graduate Student Researcher, Sept 2021 - Present
  • Verifiable & Control-Theoretic Robotics (VECTR) Laboratory, UCLA (Westwood, CA)
  • Advised by Dr. Brett Lopez
• Graduate Student Researcher, Sept 2019 - June 2021
  • Laboratory for Embedded Machines and Ubiquitous Robots (LEMUR), UCLA (Westwood, CA)
  • Advised by Dr. Ankur Mehta
• University Collaborator, March 2020 - July 2021
  • Team CoSTAR, NASA Jet Propulsion Laboratory (Pasadena, CA)
  • Advised by Dr. Ali-akbar Agha-mohammadi and Dr. Brett Lopez
• Graduate Student Researcher, Sept 2017 - June 2018
  • Translational Neuroengineering Laboratory (TNEL), UC San Diego (La Jolla, CA)
  • Advised by Dr. Vikash Gilja
• ECE Summer Research Internship Program (SRIP), June 2017 - Sept 2017
  • Translational Neuroengineering Laboratory (TNEL), UC San Diego (La Jolla, CA)
  • Advised by Dr. Vikash Gilja
• Undergraduate Student Researcher, Dec 2013 - June 2017
  • Translational Neuroengineering Laboratory (TNEL), UC San Diego (La Jolla, CA)
  • Advised by Dr. Vikash Gilja

Work Experience

• Year-Round Internship Program, July 2021 - Sept 2021 • Internship
  • Team CoSTAR, NASA Jet Propulsion Laboratory (Pasadena, CA)
• Software Engineer - Computer Vision, Oct 2018 - Aug 2019 • Full-time
  • HRL Laboratories, LLC (Malibu, CA)
• COSMOS Robotics Teaching Assistant, May 2017 - Aug 2017 • Part-time
  • UC San Diego (La Jolla, CA)
• Electronics & Payloads Technical Intern, June 2016 - Sept 2016 • Internship
  • Northrop Grumman Corporation (Melbourne, FL)
• Contractor - Robotics, Oct 2015 - June 2016 • Part-time
  • SPAWAR Systems Center - Pacific (San Diego, CA)
• Naval Research Enterprise Internship Program (NREIP) - Robotics, June 2015 - Sept 2015 • Internship
  • SPAWAR Systems Center - Pacific (San Diego, CA)
• Math Tutor, Summer 2014 • Part-time
  • Reading Town Irvine Woodbury (Irvine, CA)
• Assistant Swim Coach, Summers 2010, 2011, 2012 • Part-time
  • Irvine Swim League, College Park Splash (Irvine, CA)

Projects

• UC San Diego IEEE RoboMagellan Robotics Team, Oct 2014 - June 2015
• UC San Diego IEEE Micromouse Robotics Team, Oct 2013 - June 2014

Skills

• Hardware
  • aerial robotics, sensor calibration, microcontrollers, single-board computers, fast prototyping, soldering, laser cutting, 3d printing
• Software
  • Languages:
    • Primary: C/C++, Python, MATLAB
    • Secondary: Javascript, HTML, CSS
  • Unix: bash, zsh, vim, tmux, regex
  • Tools/Libraries: ROS, OpenCV, PCL, Pytorch, Tensorflow, Caffe, Protobufs
  • Simulation: Gazebo, AirSim
  • Version Control: Git, Subversion
  • CI/CD: Jenkins, Travis CI
  • 3D CAD: SolidWorks, Autodesk Inventor
• Other Languages
  • Mandarin Chinese

Honors and Awards

• Qualcomm Innovation Fellowship 2020 Finalist
• UCLA Electrical and Computer Engineering Department Fellowship
• UC San Diego Provost’s and Warren College Honors

Other

• UC San Diego ECE Undergraduate Student Council
• DoD Secret Security Clearance (Inactive since 2016)

Academic Services

• Reviewer for IEEE Robotics and Automation Letters (RA-L), 2021, 2022
• Reviewer for IEEE International Conference on Robotics and Automation (ICRA), 2022
• Reviewer for IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021, 2022
• Reviewer for Robotics: Science and Systems (RSS), 2021
• Organizer for SoCal Robotics Symposium, 2020

Journal Publications

• K. Chen, B.T. Lopez, A. Agha-mohammadi, and A. Mehta, “Direct LiDAR Odometry: Fast Localization with Dense Point Clouds,” IEEE Robotics and Automation Letters (RA-L) with ICRA Presentation, vol. 7, no. 2, pp. 2000-2007, April 2022, doi: 10.1109/LRA.2022.3142739.
• T.K. Chang, K. Chen, A. Mehta, “Resilient and Consistent Multirobot Cooperative Localization with Covariance Intersection,” IEEE Transactions on Robotics, vol. 38, no. 1, pp. 197-208, Feb. 2022, doi: 10.1109/TRO.2021.3104965.
• P. Gabriel, K. Chen, A. Alasfour, T. Pailla, W.K. Doyle, O. Devinsky, D. Friedman, P. Dugan, L. Melloni, T. Thesen, D. Gonda, S. Sattar, S. Wang, and V. Gilja, “Neural Correlates of Unstructured Motor Behaviors,” Journal of Neural Engineering, vol. 16, no. 6, pp. 066026, 2019, doi: 10.1088/1741-2552/ab355c.
• K. Chen, P. Gabriel, A. Alasfour, C. Gong, W.K. Doyle, O. Devinsky, D. Friedman, L. Melloni, T. Thesen, D. Gonda, S. Sattar, S. Wang, and V. Gilja, “Patient-Specific Pose Estimation in Clinical Environments,” IEEE Journal of Translational Engineering in Health and Medicine, vol. 6, pp. 1-11, 2018, no. 2101111, doi: 10.1109/JTEHM.2018.2875464.

Conference Proceedings

• K. Chen, R. Nemiroff, and B.T. Lopez, “Direct LiDAR-Inertial Odometry,” Submitted to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), March 2022.
• A. Bouman, J. Ott, S.K. Kim, K. Chen, M. Kochenderfer, B.T. Lopez, A. Agha-mohammadi, and J. Burdick, “Adaptive Coverage Path Planning for Efficient Exploration of Unknown Environments,” Submitted to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), March 2022.
• K. Chen, A. Pogue, B.T. Lopez, A. Agha-mohammadi, and A. Mehta, “Unsupervised Monocular Depth Learning with Integrated Intrinsics and Spatio-Temporal Constraints,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct 2021, pp. 2451-2458, doi: 10.1109/IROS51168.2021.9636030.
• A. Schperberg*, K. Chen*, S. Tsuei, M. Jewett, J. Hooks, S. Soatto, A. Mehta, and D. Hong, “Risk-Averse MPC via Visual-Inertial Input and Recurrent Networks for Online Collision Avoidance,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct 2020, pp. 5730-5737, doi: 10.1109/IROS45743.2020.9341070. *Indicates equal contribution

Workshops, Posters, and Presentations

• K. Chen, R. Nemiroff, and B.T. Lopez, “Direct LiDAR-Inertial Odometry with Pose Graph Optimization,” Robotic Perception and Mapping: Emerging Techniques, IEEE International Conference on Robotics and Automation (ICRA), Philadelphia, PA, 2022. URL
• K. Chen, P. Gabriel, A. Alasfour, W.K. Doyle, O. Devinsky, D. Friedman, T. Thesen, and V. Gilja, “Patient-Specific Pose Estimation in a Clinical Environment,” SoCal Machine Learning Symposium, USC Viterbi School of Engineering, Los Angeles, CA, 2017. URL
• P. Gabriel, K. Chen, D. Gonda, S. Sattar, V. Gilja, and S. Wang, “Quantify Motor Semiology in the Pediatric Epilepsy Monitoring Unit using RGB-D Sensors,” American Epilepsy Society Annual Meeting, Washington, D.C., 2017.
• P. Gabriel, A. Alasfour, K. Chen, W.K. Doyle, D. Friedman, T. Thesen, and V. Gilja, “Neural Correlates to Automatic Behavior Estimations from RGB-D Video in Epilepsy Unit,” UCSD Research Expo, UC San Diego Jacobs School of Engineering, La Jolla, CA, 2016.
• K. Chen and J. Larson, “Towards an Autonomous Unmanned Surface Vehicle,” Team Internship Program Expo, UC San Diego Jacobs School of Engineering, La Jolla, 2015.

Theses

• K.J. Chen, “Continuous Behavior Acquisition in Clinical Environments,” University of California San Diego, 2018.

Books

• K. Chen and M.L. Yin, “ECE 114: C for Engineers,” Course textbook, Cal Poly Pomona College of Engineering, Pomona, CA, 2013.

Patents

• L. Nguyen, D. Khosla, Y. Chen, and K. Chen, “Real-Time People Detection and Counting in Cluttered Environments Using Pose and Background Modeling,” U.S. Filed 2019, Pending.