Our publications can also be found on Google Scholar.

Preprints

  1. On the Value of Graph Neural Networks for Predicting Delays in Air Transportation Networks
    Jacob Heglund, and Huy T Tran

2022

  1. A Complex Network Framework for Validated Assessments of Systems of Systems Robustness
    Aleksandra Markina-khusid, Ryan B Jacobs, Laura Antul, Lance Cho, and Huy T Tran
    IEEE Systems Journal, 2022
    DOI
  2. Coordination in Multi-agent Reinforcement Learning with Successor Features
    Seung Hyun Kim, Neale Van Stralen, Girish Chowdhary, and Huy T Tran
    In Proc. of the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022), 2022
    arXiv PDF
  3. Feature Specialization and Clustering Improves Hierarchical Sub-task Learning
    Neale Van Stralen, Seung Kim, Huy T Tran, and Girish Chowdhary
    In Proc. of the Adaptive and Learning Agents Workshop (ALA 2022), 2022
    PDF
  4. D-AnoGAN: Anomaly Detection in Disconnected Data Manifolds with Generative Adversarial Networks
    Walker L Dimon, Nicholas B Chase, Neale Van Stralen, Rupal Nigam, Michael F Lembeck, and Huy T Tran
    In 2022 International Joint Conference on Neural Networks (IJCNN), 2022
    DOI
  5. WayFAST: Traversability Predictive Navigation for Field Robots
    Mateus V Gasparino, Arun N Sivakumar, Yixiao Liu, Andres E B Velasquez, Vitor A H Higuti, John Rogers, Huy Tran, and Girish Chowdhary
    IEEE Robotics and Automation Letters, Jul, 2022
    DOI PDF

2021

  1. Social sensing: towards social media as a sensor for resilience in power systems and other critical infrastructures
    Jacob Heglund, Kenneth M. Hopkinson, and Huy T. Tran
    Sustainable and Resilient Infrastructure, Jul, 2021
    DOI

2020

  1. An Artificial Neural Network Approach to Generating High-Resolution Designs from Low-Resolution Input in Topology Optimization
    Nicholas A. Napier, Sai-Aksharah Sriraman, Huy T. Tran, and Kai A. James
    Journal of Mechanical Design, Jul, 2020
    DOI PDF
  2. Operational Perspectives into the Resilience of the US Air Transportation Network Against Intelligent Attacks
    Karl H Thompson, and Huy T Tran
    IEEE Transactions on Intelligent Transportation Systems, Jul, 2020
    DOI
  3. Data-driven Analysis of Resilience in Airline Networks
    Allen Wong, Sijian Tan, Keshav Ram Chandramouleeswaran, and Huy T Tran
    Transportation Research Part E: Logistics and Transportation Review, Jul, 2020
    DOI
  4. Railway Delay Prediction with Spatial-Temporal Graph Convolutional Networks
    Jacob S W Heglund, Panukorn Taleongpong, Simon Hu, and Huy T Tran
    In 2020 IEEE Intelligent Transportation Systems Conference, Jul, 2020
    DOI
  5. Evaluating Adaptation Performance of Hierarchical Deep Reinforcement Learning
    Neale Van Stralen, Seung Hyun Kim, Huy Tran, and Girish Chowdhary
    In 2020 IEEE International Conference on Robotics and Automation (ICRA), Jul, 2020
    DOI

2019

  1. Parametric Design of Resilient Complex Networked Systems
    Huy T Tran, Jean Charles Domerc, and Dimitri N Mavris
    IEEE Systems Journal, Jul, 2019
    DOI

2018

  1. Application of a Defender-Attacker-Defender Model to the U.S. Air Transportation Network
    Karl H Thompson, and Huy T Tran
    In 2018 IEEE International Symposium on Technologies for Homeland Security (HST), Jul, 2018
    DOI
  2. Machine Learning Prediction of Airport Delays in the US Air Transportation Network
    Keshav Ram Chandramouleeswaran, and Huy T Tran
    In 18th AIAA Aviation Technology, Integration, and Operations Conference, Jul, 2018
    DOI
  3. Data-driven Resilience Quantification of the US Airline Network
    Keshav Ram Chandramouleeswaran, and Huy T Tran
    In 2018 Annual IEEE International Systems Conference (SysCon), Jul, 2018
    DOI
  4. Toward Scaling Model-Based Engineering for Systems of Systems
    Laura Antul, Sean Ricks, Lance Cho, Matt Cotter, Ryan B Jacobs, Aleksandra Markina-Khusid, Janna Kamenetsky, Judith Dahmann, and Huy T Tran
    In 2018 IEEE Aerospace Conference Proceedings, Jul, 2018
    DOI

2017

  1. A framework for the quantitative assessment of performance-based system resilience
    Huy T Tran, Michael Balchanos, Jean Charles Domercant, and Dimitri N Mavris
    Reliability Engineering and System Safety, Jul, 2017
    DOI
  2. Designing Resilient System-of-Systems Networks
    Huy T Tran, Jean Charles Domercant, and Dimitri N Mavris
    In 2017 11th Annual IEEE International Systems Conference (SysCon), Jul, 2017
    DOI

2016

  1. A Network-based Cost Comparison of Resilient and Robust System-of-Systems
    Huy T. Tran, Jean Charles Domerçant, and Dimitri N. Mavris
    In Procedia Computer Science, Jul, 2016
    DOI

2015

  1. A System-of-Systems Approach for Assessing the Resilience of Reconfigurable Command and Control Networks
    Huy T Tran, Jean Charles Domercant, and Dimitri N Mavris
    In AIAA Infotech @ Aerospace, Jul, 2015
    DOI
  2. Evaluating the agility of adaptive command and control networks from a cyber complex adaptive systems perspective
    H. T. Tran, J. C. Domercant, and D. N. Mavris
    The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, Jul, 2015
    DOI

2014

  1. Metrics-based Analysis and Evaluation Framework for Engineering Resilient Systems
    Michael G Balchanos, Jean Charles Domercant, Huy T Tran, and Dimitri N Mavris
    In 2014 7th International Symposium on Resilient Control Systems, Jul, 2014
    DOI
  2. Trade-offs Between Command and Control Architectures and Force Capabilities Using Battlespace Awareness
    Huy T Tran, Jean Charles Domercant, and Dimitri Mavris
    In 19th International Command and Control Research and Technology Symposium, Jul, 2014