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Dr. Bin Hu PhD

Dr. Bin Hu PhD

LECTURER
Engineering Technology

Contact Information

211C KAUFMAN HALL
NORFOLK, VA 23529

Email: bhu@odu.edu

Phone: 757-683-5713

Organizational Chart

Web Link(s)

  • Articles

    Hu, B., Wang, Y., Orlik, P. V., Koike-Akino, T., and Guo, J. (2019). Co-design of safe and efficient networked control systems in factory automation with state-dependent wireless fading channels. Automatica, 105, pp. 334--346.
    Hu, B. (2019). Event-Based Adaptive Power Control in Vehicular Networked Systems with State-dependent Bursty Fading Channels. IEEE Transactions on Circuits and Systems II: Express Briefs
    Li, Z., Hu, B., Li, M., and Luo, G. (2019). String Stability Analysis for Vehicle Platooning Under Unreliable Communication Links With Event-Triggered Strategy. IEEE Transactions on Vehicular Technology, 68 (3), pp. 2152--2164.
    Hu, B., and Tamba, T. A. (2018). Optimal codesign of industrial networked control systems with state-dependent correlated fading channels. International Journal of Robust and Nonlinear Control
    Chen, J., Mishler, S., Hu, B., Li, N., and Proctor, R. W. (2018). The description-experience gap in the effect of warning reliability on user trust and performance in a phishing-detection context. International Journal of Human-Computer Studies, 119, pp. 35--47.
    Hu, B., and Chen, J. (2017). Optimal Task Allocation for Human--Machine Collaborative Manufacturing Systems. IEEE Robotics and Automation Letters, 2 (4), pp. 1933--1940.
    Fei, Z., Liu, K., Hu, B., and Liang, J. (2015). An efficient latent variable optimization approach with stochastic constraints for complex industrial process. Chinese Journal of Chemical Engineering
    Hu, B., and Lemmon, M. D. (2015). Distributed Switching Control to Achieve Almost Sure Safety for Leader-Follower Vehicular Networked Systems. IEEE Transactions on Automatic Control, 60 (12), pp. 3195--3209.
    Chi, Q., Zhao, Z., Hu, B., Lv, Y., and Liang, J. (2013). Multi-loop nonlinear internal model controller design based on a dynamic fuzzy partial least squares model. Chemical Engineering Research and Design, 91 (12), pp. 2559--2568.
    Fei, Z., Hu, B., Ye, L., and Liang, J. (2012). ARX-NNPLS Model Based Optimization Strategy and Its Application in Polymer Grade Transition Process. Chinese Journal of Chemical Engineering, 20 (5), pp. 971--979.
    Hu, B., Zhao, Z., and Liang, J. (2012). Multi-loop nonlinear internal model controller design under nonlinear dynamic PLS framework using ARX-neural network model. Journal of Process Control, 22 (1), pp. 207--217.
    Zhao, Z., Hu, B., and Liang, J. (2011). Multi-loop adaptive internal model control based on a dynamic partial least squares model. Journal of Zhejiang University-Science A, 12 (3), pp. 190--200.
    Duan, B., Liang, J., Fei, Z., Yang, M., and Hu, B. (2011). Nonlinear semi-parametric modeling method based on GA-ANN. Journal of Zhejiang University. Engineering Science, 45 (6), pp. 977--983.
    Hu, B., Zheng, P., and Liang, J. (2010). Multi-loop internal model controller design based on a dynamic PLS framework. Chinese Journal of Chemical Engineering, 18 (2), pp. 277--285.
    Fei, Z., Hu, B., Ye, L., Zheng, P., and Liang, J. (2010). Optimal grade transition of polymerization process with path constraints. CIESC Journal, 4, pp. 016.
    Liu, Y., Liang, J., Hu, B., Ye, L., and Shi, X. (2009). A multivariable statistical process monitoring method based on multiscale analysis [J]. Journal of the Chemical Industry and Engineering Society of China, 4, pp. 024.

  • Conference Proceeding

    Chen, J., Mishler, S., and Hu, B. (2018). Conveying Automation Reliability and Automation Error Type An Empirical Study in the Cyber Domain. ,Proceedings of the Human Factors and Ergonomics Society Annual Meeting (pp. 172--173)
    Mishler, S., Chen, J., Sabic, E., Hu, B., Li, N., and Proctor, R. W. (2017). Description-Experience Gap: The Role of Feedback and Description in Human Trust in Automation. ,Proceedings of the Human Factors and Ergonomics Society Annual Meeting (pp. 313--313)