Qiaoyan Shang Lecturer

Department of Marine Science

Phone: 15715310863

Location: Rm225, Building No.6

E-mail：qiaoyanshang@tust.edu.cn

Research Interests

Environmental pollution control, Microchemical technology, Machine learning

Academic Advising

Now accepting Masters in Marine Science and Marine Technology

Education（in reverse chronological order）

Visiting Scholar, University of Groningen, 2021.10-2022.10

Ph.D. of Engineering in Technology of Chemical Engineering, School of Chemical engineering, Tianjin University, 2016.07

Master of Engineering in Technology of Chemical Engineering, School of Chemical engineering, Tianjin University, 2013.07

Bachelor of Engineering in Applied Chemistry, School of Biological and Chemical Engineering, Inner Mongolia University Of Science and Technology, 2011.07

Positions & Employment（in reverse chronological order）

2024.09-present College of Marine and Environmental Sciences, Tianjin University of Science & Technology, Lecturer

2016.09-2024.08 College of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University, Lecturer

Teaching

Research Projects（in reverse chronological order）

National Natural Science Foundation of China, Study on intelligent method for photocatalytic treatment of antibiotic wastewater based on deep neural network (22106094), Principal Investigator

Key Publications：（in reverse chronological order，按专著、论文、专利顺序编写）

1) Qiaoyan Shang, Mingrui Guo, Jiahao Zhang, Mengyao Liu, Kaili Lin, Hao Li, Guanwei Cui, Xifeng Shi* and Bo Tang*, Gas-liquid-soild triphasic continuous flow microreactor for improving homogeneous distribution of solid composites in heterogeneous photocatalytic degradation progress, Sep. Purif. Technol. 2024, 348: 127698.

2) Qiaoyan Shang, Xiaojuan Liu, Mingfei Zhang, Pengfei Zhang, Yujie Ling, Guanwei Cui, Wenge Liu, Xifeng Shi*, Jun Yue*, Bo Tang*, Photocatalytic degradation of ofloxacin antibiotic wastewater using TS-1/C3N4 composite photocatalyst: Reaction performance optimisation and estimation of wastewater component synergistic effect by artificial neural network and genetic algorithm, Chem. Eng. J. 2022, 443: 136354.

3) Qiaoyan Shang, Wenwen Chi, Pengfei Zhang, Yujie Ling, Xiaojuan Liu, Guanwei Cui, Wenge Liu, Xifeng Shi*, Bo Tang*, Optimization of Bi2O3/TS-1 preparation and photocatalytic reaction conditions for low concentration Erythromycin wastewater treatment based on artificial neural network, Process Saf. Environ. 2022, 157: 297-305.

Honors & Awards（in reverse chronological order）

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Academic Service

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