Hu_now.jpg

Bin Hu

Assistant Professor
Office: 301, ENGR4 (SAB2) at Sugar Land
Phone: (713)743-5366
Engineering Technology | Electrical and Computer Engineering
Cullen College of Engineering
University of Houston
14000 University Blvd.
Sugar Land, Texas 77479-0800

Dr. Bin Hu directs the Networked Autonomous and Intelligent Learning (NAIL) Lab. The NAIL Lab focuses on cutting-edge research in learning-based control, optimization, and machine learning, with applications spanning cybersecurity, autonomous robotics, human-machine automation, IoT systems, and vehicular networks. Our lab develops intelligent autonomous systems that can learn, adapt, and operate safely in complex, dynamic environments.

Learn more about our NAIL Lab team, facilities, research demonstrations, and outreach activities.


:fire: Multiple Openings :fire:

We have multiple openings for students who are interested in control, optimization and machine learning, and/or their applications in robotics and autonomous vehicles. If you are interested, please send your CV and transcript to Dr. Hu via email.

News

Jun 17, 26 :tada: Our paper Formation-Aware Adaptive Conformalized Perception for Safe Leader-Follower Multi-Robot Systems has been accepted for presentation at the 2026 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2026), September 27 – October 1, 2026, Pittsburgh, PA, USA. (Acceptance Rate: 36%). [Project Page]
Jun 17, 26 :tada: Our paper Neural-ESO: A Dual-Pathway Architecture for Provably Robust Learning-Based Control has been accepted for publication in the IEEE Robotics and Automation Letters (RA-L). [Video Demo]
May 16, 26 :mortar_board: Congratulations to Tony Tran on successfully defending his M.S. thesis and graduating from the NAIL Lab! Tony is starting his next chapter as a Machine Learning Engineer at CFD Research Corporation. Wishing him every success in this exciting new journey!
May 11, 26 :newspaper: Our NVIDIA Academic Grant Program award has been featured in UH Engineering News: ET’s Hu Receives NVIDIA Academic Grant Program Award. Thanks to UH Cullen College of Engineering for highlighting our research on heterogeneous multi-robot waste detection.
May 06, 26 :rocket: I am honored to have received a NASA Early Career Faculty Award (ECF25) for my project, “Safety-Enabled and Efficient Onboard Planning for Autonomous Spacecraft via Physics-Informed Reinforcement Learning.” The award provides $741,899 over three years. I am grateful for NASA’s support of this research.
Mar 22, 26 :tada: Our paper ELASTIC: Efficient Once For All Iterative Search for Object Detection on Microcontrollers has been accepted by IEEE Transactions on Computers ! Congratulations to Tony Tran and all co-authors!

Selected Publications (★ PhD student, ♦ Master student, † equal contribution)

  1. IROS
    Formation-Aware Adaptive Conformalized Perception for Safe Leader-Follower Multi-Robot Systems
    Richie R. Suganda, and Bin Hu
    In Proceedings of the 2026 IEEE/RSJ International Conference on Intelligent Robots and Systems (Acceptance Rate: 36%) (IROS) Sep , 2026
  2. ELASTIC: Efficient Once For All Iterative Search for Object Detection on Microcontrollers
    Tony Tran, Qin Lin, and Bin Hu
    IEEE Transactions on Computers (IEEE TC) Sep , 2026
  3. WACV
    SOLAR: Switchable Output Layer for Accuracy and Robustness in Once-for-All Training
    Shaharyar Ahmed Khan Tareen, Lei Fan, Xiaojing Yuan, Qin Lin, and Bin Hu
    In Proc. IEEE/CVF Winter Conf. on Applications of Computer Vision (Round 2 New Submission Acceptance Rate: 26.88%) (WACV) Sep , 2026
  4. IEEE THMS
    Human Perception of AI Capabilities at Classifying Perturbed Roadway Signs
    Katherine R Garcia, Jing Chen, Yanru Xiao, Scott Mishler, Cong Wang, and Bin Hu
    IEEE Transactions on Human-Machine Systems (IEEE THMS) Sep , 2025
  5. ICRA
    Distributed Perception Aware Safe Leader Follower System via Control Barrier Methods
    Richie R Suganda, Tony Tran, Miao Pan, Lei Fan, Qin Lin, and Bin Hu
    In Proc. IEEE Int. Conf. on Robotics and Automation (Acceptance Rate: 38.67%) (ICRA) Sep , 2025
  6. IEEE TAC
    Optimal Transmission Power and Controller Design for Networked Control Systems Under State-Dependent Markovian Channels
    Bin Hu, and Tua A Tamba
    IEEE Transactions on Automatic Control (IEEE TAC) Sep , 2022
  7. ICDCS
    Energy Minimization for Federated Asynchronous Learning on Battery-Powered Mobile Devices via Application Co-running
    Cong Wang, Bin Hu, and Hongyi Wu
    In 2022 IEEE International Conference on Distributed Computing Systems (Acceptance Rate: 19.9%) (ICDCS) Sep , 2022
  8. AUTOM
    Stochastic stability analysis for Vehicular Networked Systems with State-dependent bursty fading channels: A self-triggered approach
    Bin Hu
    Automatica (AUTOM) Sep , 2021
  9. IEEE THMS
    Automation error type and methods of communicating automation reliability affect trust and performance: An empirical study in the cyber domain
    Jing Chen, Scott Mishler, and Bin Hu
    IEEE Transactions on Human-Machine Systems (IEEE THMS) Sep , 2021