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Master advisors

Liu,Dengfeng


Present address: Room 418, The School of Internet of Things, Jiangnan University, Wuxi, China


Associate Professor

Department of Computer Science Joined Department: 2014

Phone: +8618751553915

Email: liudf@jiangan.edu.cn


Curriculum Vitae


Working Experience

2016.09- present Associate Professor  Jiangnan University 2014.07-2016.09 Assistant Professor Jiangnan University

Areas of Research Interests

l Computer science


Data fusion, pattern recognition, machine learning, data mining and bioprocess modeling.


l Bioprocess modeling and control


Visual system modeling (ERG signal processing, visual system state estimation, and development of diagnostic tools), method development (time-delay system identification, predictive control, and neural network-based statistical process control), food process control (process identification, sensory-based process control, fuzzy set applications).


Education Background

2009.09-2014.07

Joint education Ph.D Control Theory and Control Engineering


Jiangnan University and University of Missouri (Supported by China


Scholarship Council)

2013.03-2014.02

Supervisor: Prof. Baoguo Xu and Dr. Jinglu Tan

University of Missouri at Columbia, Supervisor: Prof. Jinglu Tan

2010.10-2012.11

University of Missouri at Columbia, Supervisor: Prof. Jinglu Tan

2005.09-2008.07

M.S Computer Science Xinjiang University

2000.09-2004.07

BS Computer Science Xinjiang University


Awards, Fellowships, and Grants

1. Nature Science Foundation of China funded project(21706096): Modeling and parameter identification of fermentation process for multivariable heterogeneous sampling system (Principal Investigator, 2018.01-2020.12) ¥ 230,000

2. Nature Science Foundation of Jiangsu state funded project(BK20160162): Optimization control of traditional brewing process of Chinese rice wine based on fermentation data. (Principal Investigator, 2016.09-2019.09) ¥ 200,000

3. Postdoctoral Foundation of Jiangsu state funded project(1601009A):Modeling design of high efficient oligopeptide inhibitor targeting DAPK1 protein.(Principal Investigator, 2016.09-2019.09) ¥ 80,000

4. China Postdoctoral Science Foundation (2017M621627): Multivariable Modeling and Parameter Identification of Rice Wine Fermentation Process with Irregular Sampling Intervals.(Principal Investigator, 2018.01-2020.12) ¥ 50,000

5. Nature Science Foundation of China funded project(61773182):Modelling and application of soft measurement key technology under non-ideal data condition.(2018.01-2021.12) ¥ 630,000

Publication

[1] Liu D, Zhang H, Lin C-C; Xu B. Optimization of rice wine fermentation process based on the simultaneous saccharification and fermentation kinetic model. Chinese Journal of Chemical Engineering, 2016,24(10):1406-1412.

[2] Liu D, Zhang H, Xu B, Tan J*. Development of a kinetic model structure for simultaneous saccharification and fermentation in rice wine production. Journal of the Institute of Brewing, 2015, 121(4): 589-596.

[3] Liu D, Zhang H, Xu B*, Tan J*. Development of kinetic model structures for glutinous rice saccharification by different enzymes. Journal of Food Process Engineering. 2014, 37 (3): 317-328.

[4] Liu D, Zhang H, Xu B*, Tan J*. Influence of fermentation temperature and source of enzymes on enological characteristics of rice wine. Journal of the Institute of Brewing. 2014, 120 (3): 231–237.

[5] Liu D, Xu L, Xiong W, Zhang H, Lin C C, Jiang L, Xu B*. Fermentation process modeling with Levenberg-Marquardt algorithm and Runge-Kutta method on ethanol production by Saccharomyces cerevisiae. Mathematical Problems in Engineering. 2014.

[6] Liu D, Xiong W, Xu G, Xu B*. An automated system for monitoring and controlling of rice wine fermentation. 2012 ASABE Annual international Meeting; July 29 - August 1; Dallas, Texas: The American Society of Agricultural and Biological Engineers, St. Joseph, Michigan; 2012, 3643-3651.

[7] Liu D, Xu B, Tan, J. Kinetic model structures for simultaneous saccharification and fermentation process of glutinous rice. 2014 ASABE Annual international Meeting; July 13 - July 16; Montreal, QC Canada.

[8] Zhang,H. T., Zhu, L., Liu, Dengfeng, Zhan, X. B., Ding, J., & Lin, C. C. Model-based estimation of optimal dissolved oxygen profile in Agrobacterium sp. fed-batch fermentation  for  improvement  of  curdlan  production  under  nitrogen-limited   condition. Biochemical Engineering Journal, 2015, 103, 12-21.


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