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

Sep 21 2022	I gave a talk on Toward Resilient Networked Control Systems: Safety and Security at ECE@UH.
Sep 8 2022	Our paper on driver’s understanding of AI in automated driving systems was published by Journal of Cognitive Engineering and Decision Making.
Sep 1 2022	After 3 years at ODU, Dr. Bin Hu joined the Department of Engineering Technology at the University of Houston to continue his academic journey.
Jun 8 2022	Two papers were accepted by The Human Factors and Ergonomics Society (HFES) Annual Meeting 2022.
Jun 3 2022	Our paper on optimal power and controller design under state dependent Markov channels was accepted by IEEE Transactions on Automatic Control.
Apr 5 2022	Our paper on energy minimization for federated learning on mobile devices was accepted by ICDCS 2022 (Acceptance Rate: 19.9%).

Selected Publications

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},
}