Bin Hu
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Bin HuAssistant Professor |
Research Interests
My general research interests lie in areas of control, optimization, machine learning and information theory, and their applications in cybersecurity, robotics, human-machine automation and vehicular networked systems. Please check our publication and funded projects for more details.
RA Positions Available
Research assistants are available for both undergraduate and graduate students who have interests in theoretical aspects of control, optimization and machine learning, and/or their applications in robotics and autonomous vehicles. If you are interested, please contact Dr. Hu via email.
Recent News
01/2021: Two papers are accepted by The 2021 American Control Conference!
08/2020: I am honored and thrilled to receive a NSF award (IIS Core) as Co-PI with a total amount of $500,000 for three years. This a multidisciplinary project with collaborators Dr. Jing Chen from Department of Psychology and Dr. Cong Wang from Department of Computer Science.
Selected Publication
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 (Regular Paper), accepted, 2021.Stochastic Stability Analysis for Vehicular Networked Systems with State-dependent Bursty Fading Channels: A Self-Triggered Approach.
Bin Hu. Automatica (Regular Paper), vol. 123, no.1, pp, 2021.On Event-Triggered Implementation of Moving Target Defense Control.
T. Tamba, B. Hu, and Y. Nazaruddin, 2020 International Federation of Automatic Control (IFAC-V 2020), Germany, July 11-17, 2020.An Actuator Intrusion Detection Mechanism for Event- Triggered Moving Target Defense Control.
T. Tamba, B. Hu, and Y. Nazaruddin, 2019 IEEE 6th Asian Conference on Defense Technology (ACDT 2019), Bali, Indonesia, November 13-15, 2019.Co-design of Safe and Efficient Networked Control Systems in Factory Automation with State-dependent Fading Channels.
Bin Hu, Yebin Wang, Philip Orlik, Toshi Koike-Akino and Jianlin Guo. Automatica (Regular Paper), vol. 105, no. 7, pp. 334-346, 2019.Optimal Task Allocation for Human-Machine Collaborative Manufacturing Systems.
Bin Hu and Jing Chen. IEEE Robotics and Automation Letters (RA-L), vol. 2, no. 4, pp. 1933-1940, 2017.Distributed Switching Control to Achieve Almost Sure Safety for Leader-follower Vehicular Networked Systems.
Bin Hu and Michael D. Lemmon. IEEE Transactions on Automatic Control (Full Paper), vol. 60, no. 12, pp. 3195-3209, 2015.
Please check Google Scholar Citation or Publication for a complete list of my work.