Chris Denniston

Chris Denniston

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Principal Engineer at Blue River Technology
Los Angeles, California, United States

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Résumé

Jobs verified_user 0% verified
  • Blue River Technology
    Principal Engineer
    Blue River Technology
    Mar 2025 - Current (1 year 6 months)
  • Cruise
    Senior Applied Scientist
    Cruise
    Aug 2024 - Mar 2025 (8 months)
  • Parallel Systems
    Senior Perception Engineer
    Parallel Systems
    Dec 2023 - Aug 2024 (9 months)
  • OffWorld
    Lead Multi-Robot SLAM Engineer
    OffWorld
    Jun 2023 - Dec 2023 (7 months)
  • NASA Jet Propulsion Laboratory
    Intern - Robotic Localization of Radio Signals
    NASA Jet Propulsion Laboratory
    May 2022 - Jul 2022 (3 months)
  • NASA Jet Propulsion Laboratory
    Intern - Advanced Multi-Robot SLAM Algorithms for Exploration of Unknown Environment
    NASA Jet Propulsion Laboratory
    Apr 2021 - Jul 2021 (4 months)
  • U
    PHD Student
    University of Southern California Robotics Embedded Systems Lab
    May 2019 - Jun 2023 (4 years 2 months)
  • MITRE
    Machine Learning Graduate Intern
    MITRE
    May 2018 - Aug 2018 (4 months)
  • U
    Graduate Student Researcher
    USC Robotics Embedded Systems Lab
    Sep 2017 - Dec 2023 (6 years 4 months)
  • PayIt
    Software Engineer
    PayIt
    Dec 2016 - Jun 2017 (7 months)
  • PayIt
    Software Engineering Intern
    PayIt
    Sep 2015 - Dec 2016 (1 year 4 months)
  • C
    Computer System Administrator
    Clinical Psychology Practice LLC
    Jun 2014 - Sep 2015 (1 year 4 months)
    -Web Development -System Maintenence -Windows Server Maintenence -Development of small .NET projects
Education verified_user 0% verified
  • S
    Shawnee Mission East High School
    Shawnee Mission East High School
  • University of Southern California
    Doctor of Philosophy - PhD, Computer Science
    University of Southern California
    Jan 2019 - May 2023 (4 years 5 months)
  • University of Southern California
    Master's degree, Computer Science (Data Science)
    University of Southern California
    Jan 2017 - Jan 2019 (2 years 1 month)
  • University of MissouriKansas City
    Bachelors, Computer Science
    University of MissouriKansas City
    Jan 2013 - Jan 2016 (3 years 1 month)
Publications verified_user 0% verified
  • M
    Planning Safe Paths through Hazardous Environments
    Mar
    Autonomous underwater vehicles (AUVs) are robotic platforms that are commonly used to map the sea floor, for example for benthic surveys or for naval mine countermeasures (MCM) operations. AUVs create an acoustic image of the survey area, such that objects on the seabed can be identified and, in the case of MCM, mines can be found and disposed of. The common method for creating such seabed maps is to run a lawnmower survey, which is a standard method in coverage path planning. We are interested in exploring alternate techniques for surveying areas of interest, in order to reduce mission time or assess feasible actions, such as finding a safe path through a hazardous region. In this paper, we use Gaussian Process regression to build models o
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