Bin Hu

Assistant Professor
Office: 228C, Technology Building
Phone: (713)743-5366
Technology Division | Engineering Technology
Cullen College of Engineering
University of Houston
Houston, Texas, 77004

Dr. Bin Hu joins the Department of Engineering Technology at the University of Houston as an Assistant Professor in 2022. Before that, he was an Assistant Professor in the Department of Engineering Technology at Old Dominion University, Norfolk, Virginia. He received his Ph.D. degree from the Department of Electrical Engineering at the University of Notre Dame in 2016, and M.S. in Control Science and Engineering from Zhejiang University in 2010.

Dr. Bin Hu’s research interests lie in areas of learning based control, optimization, machine learning, and their applications in cybersecurity, robotics, human-machine automation, IoT and vehicular networked systems.

Multiple Openings

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

Jan 27 2025	Our paper Distributed Perception Aware Safe Leader Follower System via Control Barrier Methods has been accepted for presentation at the 2025 IEEE International Conference on Robotics and Automation (ICRA), May 19-23, 2025, Atlanta, USA. (Acceptance Rate: 38.67%).
Jan 16 2025	Our paper Quadrotor Fault-Tolerant Control at High Speed: A Model-Based Extended State Observer for Mismatched Disturbance Rejection Approach has been published in IEEE Control System Letters and selected to present in the 2025 American Control Conference (ACC), to be held in DENVER, Colorado, USA, from July 7-10th, 2025.
Oct 23 2024	I am honored to have been selected for the 2024–2025 Assistant Professor Excellence Speaker Series (APeX) and to have delivered a talk titled “Safety-Enabled Learning, Control, and Optimization for AI-Powered Cyber-Physical Systems”.
Jul 21 2023	I am honored to serve as the UH site PI for a $700,000 NASA grant (2023–2026) led by Rice University (Dr. Jing Chen) in collaboration with Baylor University (Dr. Liang Sun) on adaptive human-autonomy responsibility allocation for scalable and safe m:N operational architectures.
Sep 21 2022	I gave a talk on Toward Resilient Networked Control Systems: Safety and Security at ECE@UH.

Selected Publications

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) , 2025

Bib PDF Website

@inproceedings{suganda2024distributed,
  title = {Distributed Perception Aware Safe Leader Follower System via Control Barrier Methods},
  author = {Suganda, Richie R and Tran, Tony and Pan, Miao and Fan, Lei and Lin, Qin and Hu, Bin},
  booktitle = {Proc. IEEE Int. Conf. on Robotics and Automation (Acceptance Rate: 38.67%)},
  year = {2025},
  address = {Atlanta, US},
}

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) , 2022

Bib PDF

@article{hu2022optimal,
  title = {Optimal Transmission Power and Controller Design for Networked Control Systems Under State-Dependent Markovian Channels},
  author = {Hu, Bin and Tamba, Tua A},
  journal = {IEEE Transactions on Automatic Control},
  year = {2022},
  publisher = {IEEE},
}

JCEDM

Drivers’ Understanding of Artificial Intelligence in Automated Driving Systems: A Study of a Malicious Stop Sign

Katherine R Garcia, Scott Mishler, Yanru Xiao, Cong Wang, Bin Hu, Jeremiah D Still, and Jing Chen

Journal of Cognitive Engineering and Decision Making (JCEDM) , 2022

Bib

@article{garcia2022drivers,
  title = {Drivers’ Understanding of Artificial Intelligence in Automated Driving Systems: A Study of a Malicious Stop Sign},
  author = {Garcia, Katherine R and Mishler, Scott and Xiao, Yanru and Wang, Cong and Hu, Bin and Still, Jeremiah D and Chen, Jing},
  journal = {Journal of Cognitive Engineering and Decision Making},
  pages = {15553434221117001},
  year = {2022},
  publisher = {SAGE Publications Sage CA: Los Angeles, CA},
}

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) , 2022

Bib PDF

@inproceedings{wang2022energy,
  title = {Energy Minimization for Federated Asynchronous Learning on Battery-Powered Mobile Devices via Application Co-running},
  author = {Wang, Cong and Hu, Bin and Wu, Hongyi},
  booktitle = {2022 IEEE International Conference on Distributed Computing Systems (Acceptance Rate: 19.9%)},
  year = {2022},
}

AUTOM

Stochastic stability analysis for Vehicular Networked Systems with State-dependent bursty fading channels: A self-triggered approach

Bin Hu

Automatica (AUTOM) , 2021

Bib PDF

@article{hu2021stochastic,
  title = {Stochastic stability analysis for Vehicular Networked Systems with State-dependent bursty fading channels: A self-triggered approach},
  author = {Hu, Bin},
  journal = {Automatica},
  volume = {123},
  pages = {109352},
  year = {2021},
  publisher = {Pergamon},
}

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) , 2021

Bib

@article{chen2021automation,
  title = {Automation error type and methods of communicating automation reliability affect trust and performance: An empirical study in the cyber domain},
  author = {Chen, Jing and Mishler, Scott and Hu, Bin},
  journal = {IEEE Transactions on Human-Machine Systems},
  volume = {51},
  number = {5},
  pages = {463--473},
  year = {2021},
  publisher = {IEEE},
}