I'm

Jason Hughes

Doctoral Student, Roboticist, Computer Scientist, Researcher

About

About Me

Computer Science PhD Student at GRASP

I am currently a first year Computer Science PhD student in the GRASP Lab at the University of Pennsylvania advised by Professor CJ Taylor. I was formerly a robotics research fellow at the Robotics Research Center at West Point where I worked on government computer vision and aerial swarming projects. My primary research interest is leveraging optimization and machine learning to build smarter and more robust multi-robot systems. I received my Master's in Data Science at Fordham University and my B.S. in Mathematics, also from Fordham. My previous research focused on developing robust and distributed optimal transport algorithms for resource and task allocation in distributed and dynamic systems.

Background

Education & Research

Education

Ph.D. in Computer Science

University of Pennsylvania | 2023 - Present

Advised by Professor CJ Taylor



M.S. in Data Science

Fordham University | 2020 - 2021

Thesis: An Algorithmic Foundation for Fair, Secure, and Differentially Private Distributed Discrete Optimal Transport
Advised by Professor Juntao Chen


B.S. in Mathematics

Fordham University | 2016 - 2020

Minor: Computer Science
Advised by Professor Damian Lyons and Professor Rolf Ryham

Research

Robotics Research Fellow

Robotics Research Center, United States Military Academy | 2021 - 2023

Lead the development of the Collaborative Aerial Swarm Architecture (CASA), designed to be the most reliable swarm architecture for sUAS. Sponsored by: DHS-CBRN.
Research how multi-agent systems can maintain multiple connections in a heterogeneous swarm.

Graduate Research Assistant

Juntao Chen Group, Fordham Univrtsity | 2020 - 2021

Examined how to build a more robust distributed task allocation paradigm using optimal transport. We first applied fairness constraints, then used a game-theoretic approach to consider deceptive adversaries in the distributed systems, and leveraged differential privacy to keep node data private.

Undergraduate Research Assistant

Robotics & Computer Vision Lab, Fordham University | 2019 - 2020

Studied how we can use low-cost IMUs to detect obstacles in micro-UAS using ML algorithms to learn the unsteadiness caused by the airflow of the UAS near the obstacle. We were not only able to detect obstacles but we could learn their relative direction too.

Papers

Journal

  1. Hughes, Jason. Chen, Juntao. "Resilient and Distibuted Discrete Optimal Transport with Deceptive Adversary: A Game-Theoretic Approach" IEEE Control Systems Letters (L-CSS), 2021, vol 6, pp. 1166 - 1171.   arXiv (extended vesion)    PDF (Journal Version)

Papers

Conference

  1. Hughes, Jason. Kim, Dongbin. Henderson, Steve. Manjunath, Pratheek. "Towards Collaborative Aerial Swarming Architecture for Military Applications" 2023 23rd International Conference on Control, Automation and Systems (ICCAS), Yeosu, Korea, Republic of, 2023, pp. 1049-1054.

  2. Hughes, Jason. Chen, Juntao. "Security Investment Over Networks with Bounded Rational Agents: Analysis and Distributed Algorithm" 2023 Proceedings of the Conference on Control and its Applications (CT). 2023, 72-79.    arXiv   PDF

  3. Hughes, Jason. Chen, Juntao. "Differentially Private ADMM-Based Distributed Discrete Optimal Transport for Resource Allocation" IEEE Global Communications Conferenece (GLOBECOM), 2022, pp. 909-914.    arXiv   PDF

  4. B. Dubetsky, K. Fernandez, G. Christopher, L. Singh, J. Hughes, J. Cole, M. Novitzky. "Military Uniform Identification For Search And Rescue (SAR) Through Machine Learning" IEEE International Symposium on Technologies for Homeland Security (HST), Boston, MA, USA, 2022, pp. 1-4.    Xplore

  5. Hughes, Jason. Larkin, Dominic. O'Donnell, Charles, Korpela, Christopher "Dynamic and Distributed Optimization for the Allocation of Aerial Swarm Vehicles" International Conference on Unmanned Aerial Systems (ICUAS), 2022, pp. 897-902.    Xplore    PDF

  6. Kaur, Navpreet. Hughes, Jason. Chen, Juntao. "VaxEquity: A Data-Driven Risk Assessment and Optimization Framework for Equitable Vaccine Distribution" Conference on Information Sciences and Systems (CISS), 2022, pp. 25-30.    arXiv    PDF

  7. Hughes, Jason. Lyons, Damian. “Obstacle Detection Via IMU Data Classification in Autonomous Quadcopters” 7th International Conference on Control, Automation and Robotics (ICCAR), 2021, pp. 189-196.    arXiv    Best Presentation!

  8. Hughes, Jason. Chen, Juntao. "Fair and Distributed Dynamic Optimal Transport for Resource Allocation over Networks" Conference on Information Sciences and Systems (CISS), 2021, pp. 1-6.    arXiv    Xplore

  9. Zhao, Qian. Hughes, Jason. Lyons, Damian. “Drone Proximity Detection Via Air Disturbance Analysis” SPIE Defense + Commercial Sensing Volume 11425, Unmanned Systems Technology XXII, May 2020    SPIE

Papers

Theses

  1. Hughes, Jason. "An Algorithmic Foundation for Fair, Secure, and Differentially Private Distributed Discrete Optimal Transport". Fordham University, Dept. of Computer and Information Sciences. August 2021.    PDF

github

Projects

Contact

Contact

Email: jasonah@seas.upenn.edu

Phone: 978-799-9117

Address: University of Pennsylvania, Levine Hall, Room 403
3330 Walnut St, Philadelphia, PA 19104