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Jianfei Dong Professor

Biography

  • Organization:
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  • Gender:male
  • Email:jfdong@suda.edu.cn
  • Post:
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  • Graduate School:
  • Address:
  • Degree:Ph.D.
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  • Academic Credentials:Dr.
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Education

Education:

Professional Experiences

Work Experience:

Overview

Resume:

Research

Research Field:

Data Driven Modeling, Control and Fault Diagnosis

Applications of AI in Biomedical Engineering

Photobiomodulation Therapies

Control of Optomechatronic Systems


Teaching

Open Course:

Digital Signal Processing, undergraduate cause, 63 hours

Optimal Control, graduate cause, 54 hours


Projects

Research Project:

Publications

Thesis:

J. Dong*. Robust Data Driven Iterative Learning Control for Linear-Time-Invariant and Hammerstein-Wiener Systems (regular paper). IEEE Transactions on Cybernetics,53(2): 1144–1157, 2023.

Q. Wang and J. Dong*. Reinforcement learning control of multi-spectral LED systems for rendering optimal lighting performance in indoor environment, Building and Environment, 262:111811, 2024.

Y. Zhang and J. Dong*. MAEF-Net: MLP Attention for Feature Enhancement in U-Net based Medical Image Segmentation Networks.IEEE Journal of Biomedical and Health Informatics,28(2): 846-857, 2023.

Y. Zhang and J. Dong*. 2K-Fold-Net and Feature Enhanced 4-Fold-Netfor Medical Image Segmentation. Pattern Recognition,127(11): 108625, 2022.

Y. Zhang and J. Dong*. SAHIS-Net: a spectral attention and feature enhancement network for microscopic hyperspectral cholangiocarcinoma image segmentation. Biomedical Optics Express,15(5): 3147-3162, 2024.

Y. Wang, Y. Zhang and J. Dong*. Segmentation of hyphae and yeast in fungi-infected tissue slice images and its application in analyzing anti-fungal blue light therapy. DOI: 10.1093/mmy/myae050. Medical Mycology, 2024.

W. Zhang and J. Dong*. Suppressing epithelial-mesenchymal-transition blue light therapy for reducing macrophage-mediated cancerous pulmonary fibrosis: an in-vitro study. Journal of Biophotonics, e202300253: 1-10. 2023.

T. Wang, J. Dong*, and G.Zhang. Analysis and data-based modeling of the photochemicalreaction dynamics of the induced singlet oxygen in lighttherapies (regular paper). IEEE Transactions on Biomedical Engineering, 69(11): 3427–3437, 2022.

T. Wang, J. Dong*, and G. Zhang. Analyzing efficacy and safety of anti-fungal blue light therapy via kernel-based modeling the reactive oxygen species induced by light (regular paper). IEEE Transactions on Biomedical Engineering,69(8): 2433–2442, 2022.

T. Wang andJ. Dong*. Modeling the Spectral Sensitivity of Singlet Oxygen Induced by Photochemical Reactions in Cells.IEEE Photonics Technology Letters, 34(12): 661–664, 2022.

Q. Wangand J. Dong*. Data-driven modeling of the thermal dynamics of a dual-spectral ultraviolet sterilizerand control of the output irradiance. Applied Thermal Engineering, 212: 118615, 2022.

J. Wang and J. Dong*. Design of flexible optical waveguide with high uniformity and efficiency for light therapies. Optics and Lasers in Engineering. 151: 106933, 2022.

Y. Zhao andJ. Dong*. Effect of inactivating RNA viruses by coupled UVC and UVALEDs evaluated by a viral surrogate commonly used as a genetic vector. Biomedical Optics Express,13(8): 4429-4444, 2022.

Y. Zhao, Y. Zhang, J. Dong*. Evaluating the efficacy of anti-fungal blue light therapies via analyzing tissue section images. Lasers in Medical Science, 37: 831–841, 2022.

J. Dong* and T. Wang. Data driven modeling of the reactive oxygen species stimulated by photon energy in light therapies. IEEE Access,8: 18196–18206, 2020.

T. Wang, J. Dong*, H. Yin and G. Zhang. Blue light therapy to treat Candida vaginitis with comparisons of three wavelengths: an in vitro study. Lasers in Medical Science,35: 1329–1339, 2020.

J. Wang and J. Dong*. Optical waveguides and integrated optical devices for medical diagnosis, health monitoring and light therapies. Sensors,20: 3981, 2020.

J. Dong*. Recursive NARX model identification of nonlinear chemical processes with matrix invertibility analysis. Computers and Chemical Engineering,121: 574583, 2019.

Y. Gao, J. Dong*, O. Isabella, R. Santbergen, H. Tan, M. Zeman* and G. Zhang*. Modeling and analyses of energy performances of photovoltaic greenhouses with sun-tracking functionality. Applied Energy,233-234: 424–442, 2019.

Z. Jin, D. Xiong, J. Dong*, H. Wang, W. Li, L. Guo and P. Wang. Optical design of a compact multi-spectral LED light source with high irradiance and uniformity. Applied Optics,58(2): 317-324, 2019.

Y. Gao*, J. Dong, O. Isabella, R. Santbergen, H. Tan, M. Zeman* and G. Zhang*. A photovoltaic window with sun-tracking shading elements towards maximum power generation and non-glare daylighting. Applied Energy,228: 1454-1472, 2018.

J. Dong* and G.Q. Zhang. Identification and Robust Control of the Nonlinear Photoelectrothermal Dynamics of LED Systems (regular paper).IEEE Transactions on Industrial Electronics,64(3):2215–2225, 2017.

J. Dong* and D. Xiong. Applications of Light Emitting Diodes in Health Care. Annals of Biomedical Engineering,45(11): 2509-2523, 2017.

H. Wu, J. Dong*, and G.Q. Zhang. Increasing color saturation by optimizing lightspectra constrained on color rendering properties. Journal of the Optical Society of America A, 33(2): 192204, 2016.

H. Wu, J. Dong*, G. Qi, and G.Q. Zhang. Optimization of LED light spectrum toenhance colorfulness of illuminated objects with white light constraints. Journal of the Optical Society of America A,32(7): 1262–1270, 2015.

J. Dong, B. Kulcsár*, and M. Verhaegen. Fault detection for LPV systems using model parameters that can be estimated via linear least squares. International Journal of Robust and Nonlinear Control,24(14):1989–1999, 2014.

J. Dong* and A. Pandharipande. Lumen depreciation diagnosis in modulated LED lighting systems.IEEE Photonics Technology Letters,25(15):1466–1469, 2013.

J. Dong* and M. Verhaegen. Identification of fault estimation filter from I/O data for systemswith stable inversion (regular paper). IEEE Transactions on Automatic Control,57(6):1347–1361, 2012.

J. Dong*, M. Verhaegen, and F. Gustafsson. Robust Fault Detection with Statistical Uncertaintyin Identified Parameters (regular paper). IEEE Transactions on Signal Processing, 60(10):5064–5076, 2012.

J. Dong*, M. Verhaegen, and F. Gustafsson. Robust Fault Isolation with Statistical Uncertaintyin Identified Parameters(brief paper). IEEE Transactions on Signal Processing, 60(10):5556–5561, 2012.

J. Dong*, A. Pandharipande, W. van Driel, and G.Q. Zhang. Diagnosing Lumen Depreciationin LED Lighting Systems: An Estimation Approach (regular paper). IEEE Transactions on Signal Processing,60(7):3796–3808, 2012.

J. Dong* and A. Pandharipande. Efficient Distributed Control of Light-Emitting Diode Array Lighting Systems.Optics Letters,37(14):2910–2912, 2012.

J. Dong*, W. van Driel, and G.Q. Zhang. Automatic diagnosis and control of distributed solidstate lighting systems. Optics Express, 19(7):5772–5784, 2011.

J. Dong* and M. Verhaegen. Cautious H2 optimal control using uncertain Markov parameters identified in closed loop. Systems & Control Letters, 58(5):378-388, 2009.

J. Dong, K.V.R. Subrahmanyam, Y.S. Wong*, G.S. Hong, and A.R. Mohanty. Bayesian inferencebased neural networks for tool wear estimation. International Journal of Advanced Manufacturing Technology, 30(9-10):797-807, 2006.

Books&Patents

Books Writings: Patents Patent:

Honors

Honor Reward:

Supervision

Enrollment:

Degree:Ph.D.

Graduate School:

Email:jfdong@suda.edu.cn

Office Location:

Tel:

10 Access

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