Biography
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- Gender:male
- Email:jfdong@suda.edu.cn
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- Degree:Ph.D.
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- Academic Credentials:Dr.
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Education
Professional Experiences
Overview
Research
Data Driven Modeling, Control and Fault Diagnosis
Applications of AI in Biomedical Engineering
Photobiomodulation Therapies
Control of Optomechatronic Systems
Teaching
Digital Signal Processing, undergraduate cause, 63 hours
Optimal Control, graduate cause, 54 hours
Projects
Publications
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: 574–583, 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): 192–204, 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.
