Gao Xuejin

Personal profile

Name:Gao Xuejin

Gender:Male

Degrees:Ph.D.

Title:Professor

E-mail:gaoxuejin@bjut.edu.cn

Current Professional Societies

Ÿ Young and Middle-aged Outstanding Teacher of Beijing;

Ÿ Deputy Director of the Engineering Research Center of Digital Community Ministry of Education;

Ÿ Member of the Youth Working Committee of the Chinese Society of Automation;

Ÿ Member of Professional Committee of Fault Diagnosis and Safety of Chinese Association of Automation.

Research Areas

Ÿ Fault detection and diagnosis in complex processes;

Ÿ Prediction of key variables in industrial processes;

Ÿ Development of glucose sensors;

Ÿ Energy saving optimal design of air conditioning system;

Ÿ Timetable optimization in Subway Systems

Honors

[1] Xuejin Gao (rank 14/20), CAA Automation and Artificial Intelligence Innovation Team, first Prize, 2019.

[2] Xuejin Gao (rank 14/21), Intelligent optimization control system for urban sewage treatment and its promotion and application. China Industry-University-Research Cooperation Innovation Achievement, first prize, 2016.

[3] Xuejin Gao (rank 7/7), Key technologies and applications of intelligent optimization control of urban sewage treatment process. Wu Wenjun First Prize of Artificial Intelligence Science and Technology Progress Award, 2016.

Publications

Ÿ 2 books;

Ÿ Over 50 journal papers and over 50 papers are indexed by SCI, EI and ISTP;

Ÿ 15 invention patents and 3 utility model patent;

Ÿ 15 national software copyrights;

Ÿ 1 teaching material "Process Control System".

Personal Statement

Gao Xuejin, Ph.D., professor, doctoral supervisor, is a major staff of Engineering Research Center of Digital Community Ministry of Education and Beijing Laboratory for Urban Mass Transit. He reviewed papers from many journals, such asneurocomputing,ISA Transactions,IEEE access,The Canadian Journal of Chemical Engineering,CIESC Journal,Journal of Control theory and applications,Journal of Chemical Engineering of Chinese Universitiesand so on. He participants in 3 projects supported by National Natural Science Fund, 2 projects supported by Natural Science Foundations of Beijing Municipality, Key R & D Program Project of Shandong Province, the “Made in China 2025” Green Manufacturing System Integration Project and several other projects commissioned by Siemens. He teaches Computer Network and Application for undergraduates and Principles of Soft Measurement and Virtual Instruments for Master’s Degree students.