Title：Professor / Doctoral Supervisor
E-mail：fdm2003@163.com / fdm_ustb@ustb.edu.cn
Office：No. 803 Ji Dian Xin Xi Building
Education：
1) 2002/9 - 2006/1，University of Science and Technology Beijing，Control Science and Engineering，Ph.D.
2) 1984/9 - 1987/3，Northwestern Polytechnical University，Navigation，Master degree.
3) 1980/9 - 1984/7，Northwestern Polytechnical University，Spacecraft control，Bachelor degree.
Work Experience：
1) From 2011 up to now，University of Science and Technology Beijing，School of Automation and Electrical Engineering，Professor.
2) 2002 - 2010，University of Science and Technology Beijing，School of Information Engineering，Professor.
3) 1997 - 2002，University of Science and Technology Beijing，School of Information Engineering，Associate Professor.
Research Interests：
1) Smart Control.
2) Big Data Analysis, Modelling and Mining.
3) Image Processing and Application.
Courses：
1) ‘The method of multi-view thinking and analysis’ (Freshman discussion class)
2) ‘Automation control theory’, ‘The basics of control theory’ and ‘Course Design’ (Discipline platform classes)
3) ‘Production practice’
Selected Publications：
A. Data Analysis – Material Related
[1] Zhi Yuanjie, Fu Dongmei, and etc. Prediction and knowledge mining of outdoor atmospheric corrosion rates of low alloy steels based on the random forests approach. Metals, 2019, 9(3):383.
[2] Li Zhuolin, Fu Dongmei, Li Ying and etc. Application of An Electrical Resistance Sensor-Based Automated Corrosion Monitor in the Study of Atmospheric Corrosion. Materials, 2019, 12.
[3] Zhi Yuanjie, Fu Dongmei, and etc. Long-term prediction on atmospheric corrosion data series of carbon steel in china based on NGBM(1,1) and genetic algorithm. Anti-corrosion methods and materials, 2018.
[4] Shi Yana, Fu Dongmei, Zhou Xinyu, Yang Tao. Data Mining to Online Galvanic Current of Zinc/Copper Internet Atmospheric Corrosion Monitor. Corrosion Science, 2018.
[5] Li Zhuolin, Fu Dongmei, Li Ying and etc. Denoising of Carbon Steel Corrosion Monitoring Signal Based on NLM-VMD with MFDFA Technique. The 15th Chinese Intelligent Systems Conference, 2018.
[6] Zhao Xinfeng, Fu Dongmei, Pei Zibo and etc. Optimization of Sectional Dose-Response Function Optimization and Determination Method of Corrosion Category for Carbon Steel. Corrosion & Protection, 2018, 39:805-809.
[7] Zhang Huijie, Fu Dongmei. Self-adaptive denoising for carbon steel corrosion monitoring signal based on EMD and wavelet. Computer Engineering and Application, 2018.
[8] Liang Xiwang, Fu Dongmei. Predicting Method of Atmospheric Corrosion Rate Based on Manifold Dimension Reduction and Gradient Boosting Decision Trees. Equipment Environmental Engineering, 2018, 6: 41-47.
B. Data Analysis – Evidence Theory and Manifold Learning
[1] Meng Jintao, Fu Dongmei, and etc. A Novel Semi-Supervised Classification Method Based on Soft Evidential Label Propagation. IEEE ACCESS, 2019, 7: 62210-62220.
[2] Meng Jintao, Fu Dongmei, and etc.. Semi-supervised soft label propagation based on mass function for community detection. International Conference on Information Fusion, 2018: 1183-1190.
[3] Yang Tao, Fu Dongmei, Li Xiaogang. Manifold regularized multiple kernel learning with hellinger distance. Cluster Computing, 2018.
[4] Yang Tao, Fu Dongmei, Li Xiaogang. Manifold regularized multiple kernel learning with hellinger distance[J]. Cluster Computing, 2017.
[5] Yang Tao, Fu Dongmei. Semi-supervised classification based on p-norm multiple kernel learning with manifold regularization[J]. Journal of Systems Engineering and Electronics, 2016, 27(6): 1315-1325.
[6] Yang Tao, Fu Dongmei, Wu Chunhong. Laplacian Embedded Infinite Kernel Model for Semi-Supervised Classification[J]. International Journal of Pattern Recognition & Artificial Intelligence, 2016, 30(10): 1650022, 1-18.
[7] Yang Tao, Fu Dongmei, Hao Lian. Supervised Laplacian Graph Multiple Kernel Classification[C]. Annual Conference of Society of Instrument and Control Engineers of Japan, 2016: 1461-1465.
C. Image Processing – Infrared Images
[1] Yang Tao, Fu Dongmei, Li Xiaogang, Meng Jintao. Hand target extraction of thermal trace image using feature and manifold inspired by coordination of immune. The proceedings of the Bio-inspired Computing: Theories and Applications, 2017: 614-622.
[2] Fu Dongmei, Sun Jing. Hand Target Extraction from Infrared Images based on the Danger Theory. International Conference on Modelling, Identification and Control, 2017.
[3] Ding Ye, Fu Dongmei, Yang Tao. Pseudo-color visualization of infrared temperature data based on color difference and HSI. International Symposium on Optoelectronic Technology and Application, 2016.
[4] Fu Dongmei, Yu Xiao, Tong Hejun. Target extraction of blurred infrared image with an immune network template algorithm. Optics and Laser Technology, 2014, 56: 102-106.
[5] Fu Dongmei, Yu Xiao, Tong Hejun. An ensemble template algorithm for extracting targets from blurred infrared images. International Journal for Light and Electron Optics, 2014, 125(3):954-957.
[6] Yu Xiao, Fu Dongmei. Target extraction from blurred trace infrared images with a superstring galaxy template algorithm. Infrared Physics & Technology, 2014, 64(3): 9-12.
D. Image Processing – Color Images
[1] Zhou Xinyu, Fu Dongmei, Yang Tao, Shi Yanan. Adaptive learning compressive tracking based on Markov location prediction. Journal of Electronic Imaging, 2017, 26(2): 023026.
[2] Zhou Xinyu, Fu Dongmei, Shi Yanan, Wu Chunhong. Adaptive Learning Compressive Tracking Based on Kalman Filter. 9th International Conference on Image and Graphics, Shanghai, China, 2017.9.13-9.15.
E. Image Processing – Medical Images
[1] Tong Hejun, Fu Dongmei. Edge detection method of retinal optical coherence tomography images based on immune genetic morphology. Chinese Journal of Engineering, 2019, 41: 539-545.
[2] Liu Yang, Fu Dongmei and et al. Optic disc segmentation in fundus images using adversarial training. IET Image Processing, 2019, 13(2):375-381.
[3] Liu Yang, Fu Dongmei. Study on the Changes of Macular Retinal Thickness in Myopia. Chinese Intelligent Systems Conference, 2018.
[4] Fu Dongmei, Ma Haosen. An artery/vein classification method based on color and vascular structure information. International Conference on Image and Graphics, 2017.
[5] Fu Dongmei, Ni Sen. Multi-level SLIC superpixels segmentation method based on edge detection operator. The International Symposium on Optoelectronic Technology and Application, 2016.
[6] Fu Dongmei, Tong Hejun, Zheng Shuang, Luo Ling, Gao Fulin, Minar Jiri. Retinal status analysis method based on feature extraction and quantitative grading in OCT images. BioMedical Engineering Online, 2016, 15(1):87-104.
[7] Fu Dongmei, Tong Hejun, Luo Ling, Gao Fulin. Retinal automatic segmentation method based on prior information and optimized boundary tracking algorithm. 8th International Conference on Digital Image Processing, Chengdu, China, 2016.5.20-5.23.
F. Image Processing – Deep Learning Related
[1] Qiu Zhongwei, Qiu Kai, Fu Jianlong, Fu Dongmei. Learning Recurrent Structure-guided Attention network for Multi-person pose estimation. IEEE International Conference on Multimedia and Expo, 2019.
[2] Si Ze, Fu Dongmei and Li Jiahao. U-Net with attention mechanism for retinnal vessel segmentation. International Conference on Image and Graphics, 2019.
[3] Si Ze, Fu Dongmei and Liu Yang. Automatic Image Annotation with dynamic loss function. International Conference on Modelling, Identification and Control, 2019.
Selected Projects：
1) 2018 - 2020，Ministry of Industry and Information Technology of China，Civil aircraft special scientific research - service bulletin preparation, management technology research and system platform development；
2) Ministry of Science and Technology of China, Construction and sharing of national scientific observation platform of material environmental corrosion;
3) 2019-2020, Optimization control of calcining belt temperature of rotary kiln in cement plant;
4) 2013 – 2016, National natural science foundation of China，Research on artificial immune image template set applied to extracting objects in blurred infrared images，No. 61272358.
Honors & Awards：
1) National defense science and technology progress, the second award, Integration application technology of natural environmental corrosion and control for military used lightweight materials and components, 2018.
2) China petroleum and chemical automation industry science and technology, the third award, Development of infrared thermal imaging monitoring system for saving energy and avoiding damage of petrochemical thermal reaction equipment, 2017.
3) Granted as ‘Beijng Famous Teacher’ from Beijing education committee.
4) Granted as ‘Beijng Outstanding Teacher’ from Beijing education committee.
5) Granted as ‘Outstanding Teacher’ in election of ‘I love teacher – the prominent teachers in our heart’ of University of Science and Technology Beijing, in 2018, 2016, 2015, 2014.
6) Granted as ‘I love teacher – golden medal’ of University of Science and Technology Beijing.
7) Granted ‘Prominent Advisor Award’ in the academic and technology contest, ‘Cradle Trophy’, in University of Science and Technology Beijing, 2018.
