Dr. Chen Juan 
Professor
Email: 2000500076@buct.edu.cn
Background
Dr. Chen Juan is currently a Professor at College of Information Science and Technology, Beijing University of Chemical Technology. She got her Bachelor degree in Automation from the College of Northeastern Heavy Machinery (Yanshan University), Qiqihaer, China. She obtained her MS degree in Control Science and Engineering from the Harbin Institute of Technology, Harbin。 She obtained her PhD degree in Control Science and Engineering from the Beijing University of Chemical Technology, Beijing, China. Her research interests include intelligent detection and intelligent control, system modeling and control, motion control, and trajectory tracking control, soft sensor. She has authored over 80 articles and holds three invention patents. Her awards and honors include the Henan Province Science and Technology Progress Award in 1987 and Outstanding Teacher honors were awarded in 2014 and 2021 respectively.
Areas of Research of Expertise
Chemical Sensors , Intelligent detection , Soft sensor
Intelligent control, Complex system modeling and control, Motion control, and trajectory tracking control
Teaching
Undergraduate Teaching
Theory of Automatic Control
Modern Control Theory
Introduction to automation
Lectures on Frontier Academics
Research
Funded Research Projects
The National Natural Science Foundation of China:
Process optimization and key parameter measurement of ultrasonic extraction of traditional Chinese medicine based on data drive
Study on mechanism and process optimization of ultrasonic frequency turbulent "wall breaking and mass transfer" extraction of traditional Chinese medicine
Research on the technique of three-electrode balanced "micro-dissolved oxygen sensor"
Main Achievements & Awards
The third prize of Science and Technology Progress of Henan Province; Study on coiling technology and equipment of CO2 gas shielded welding wire Outstanding Supervisor of Undergraduate Thesis of BUCT
Outstanding Teacher honors were awarded in 2014 and 2021 respectively.
Five Representative Publications
[1] Liu A, Yuan L, Chen J*. CSA-RCNN: Cascaded Self-Attention Networks for High Quality 3-D Object Detection from LiDAR Point Clouds[J]. IEEE Transactions on Instrumentation and Measurement, 2024, 73: 1-13.（Top）
[2] Liu K, Fan Y, Chen J*. A model free adaptive control method based on self-adjusting PID algorithm in pH neutralization process[J]. Chinese Journal of Chemical Engineering, 2024.
[3] Zhang Z, Chen J*, Zhao W. Multi‐AGV route planning in automated warehouse system based on shortest‐time Q‐learning algorithm[J]. Asian Journal of Control, 2024, 26(2): 683-702.
[4] Zhang Y, Hu D, Chen J*, et al. Research on non-destructive testing of stress in ferromagnetic components based on metal magnetic memory and the Barkhausen effect[J]. NDT & E International, 2023, 138: 102881.
[5] Zhang Z, Chen J*, Guo Q. Application of Automated Guided Vehicles in Smart Automated Warehouse Systems: A Survey[J]. CMES-Computer Modeling in Engineering & Sciences, 2023, 134(3).
[6] Guan Y, Chen J, Dong C. Application of Virtual Sample Generation and Screening in Process Parameter Optimization of Botanical Medicinal Materials[J]. Current Topics in Medicinal Chemistry, 2023, 23(8): 618-626.
[7] Liu K, Chen J*. Robust adaptive neural network event-triggered compensation control for continuous stirred tank reactors with prescribed performance and actuator failures[J]. Chemical Engineering Science, 2021, 245: 116953.（Top）
[8] Dong C, Chen J*. Optimization of process parameters for anaerobic fermentation of corn stalk based on least squares support vector machine[J]. Bioresource technology, 2019, 271: 174-181.（Top）
[9] Li Z, Huang S, Chen J*. A novel method for total chlorine detection using machine learning with electrode arrays[J]. RSC advances, 2019, 9(59): 34196-34206.
[10] Lv B, Chen J, Liu B, et al. AO-BBO: A Novel Optimization Algorithm and Its Application in Plant Drug Extraction[J]. Current topics in medicinal chemistry, 2019, 19(2): 139-145.
[11] Dong C, Chen J*, Guan R, et al. Dual-frequency ultrasound combined with alkali pretreatment of corn stalk for enhanced biogas production[J]. Renewable Energy, 2018, 127: 444-451.（Top）
[12] Deng Y, Li Z, Chen J*, et al. The effects of the structure characteristics on Magnetic Barkhausen noise in commercial steels[J]. Journal of Magnetism and Magnetic Materials, 2018, 451: 276-282.
[13] Chen J, Liu S, Qi X, et al. Study and design on chemical oxygen demand measurement based on ultraviolet absorption[J]. Sensors and Actuators B: Chemical, 2018, 254: 778-784.（Top）