Dr. Jianlin Wang
Professor, PhD Supervisor
Email: wangjl@mail.buct.edu.cn
Background
Professor Wang received his Bachelor's, Master's, and Doctoral degrees in Engineering from Tianjin University, and completed a postdoctoral fellowship in Instrument Science and Technology at Nanjing University of Science and Technology. He was also a visiting scholar in the Department of Engineering at the University of Leicester, UK. Prof. Wang has presided over the National Natural Science Foundation of China, National Key R&D Program of China, Major National Scientific Instrument Development of China, and Beijing Municipal Natural Science Foundation. He has published more than 100 papers in the SCI & EI journals and also authored 4 textbooks.
Intelligent detection of complex process
Data-driven modeling
Visual measurement
Intelligent image processing
Intelligent monitoring of complex systems
Memberships
Member of the Teaching Steering Committee of Ministry of Education for Instrument Major in Higher Education
Member of the Instrument Science and Technology Teaching Committee of the China Machinery Industry Association
Supervisor of the China Instrument and Control Society (CIS)
Executive member of the CIS Laboratory Instrument Branch
Member of the Intelligent Aerospace Systems Committee of the Chinese Association for Artificial Intelligence
Member of the CIS Education Working Committee
Certified expert of the China Engineering Education Major Accreditation Association
Teaching Assignment
Undergraduate Teaching
Measurement Technology and Instrument
Postgraduate Teaching
Theory and Technology of Intelligent Detection
Projects
National Natural Science Foundation of China
Stable soft sensor method driven by causal inference for batch processes
A soft sensor method with irregular data modal-analysis for batch processes
A control method based on multi-objective collaborative optimization for microbial fermentation processes
National Key R&D Program of China
Intelligent recognition method and key technology of the tested object in complex environment
Research and development of portable intelligent measuring device for OCT equipment in ophthalmology
Beijing Municipal Natural Science Foundation
Intelligent detection and correction method of abnormal data in batch processes with incomplete measurement
Research on fault intelligent monitoring and safety early warning technology of oil and gas distribution network
Representative Publications
Jianlin Wang*, Rutong Wang, Xinjie Zhou, et al., A hybrid-structure soft sensor based on model risk assessment and weight fusion for batch processes, IEEE Transactions on Instrumentation and Measurement, 2022, 71: 2518110
Kepeng Qiu, Jianlin Wang*, Xinjie Zhou, et al., Soft sensor based on localized semi-supervised relevance vector machine for penicillin fermentation process with asymmetric data, Measurement, 2022, 202: 111823
Jianlin Wang*, Kepeng Qiu, Rutong Wang, et al., Development of soft sensor based on sequential kernel fuzzy partitioning and just-in-time relevance vector machine for multiphase batch processes, IEEE Transactions on Instrumentation and Measurement, 2021, 70: 2509110
Kepeng Qiu, Jianlin Wang*, Rutong Wang , et al., Soft sensor development based on kernel dynamic time warping and a relevant vector machine for unequal-length batch processes, Expert Systems With Applications, 2021, 182: 115223
Xuesong Fu, Jianlin Wang*, Zhixiong Hu, et al., Automated segmentation for whole human eye OCT image using RM Multi-stage Mask R-CNN, Applied Optics, 2021, 60(9): 2518-2529
Jianlin Wang*, Kepeng Qiu, Yongqi Guo, et al., Soft sensor development based on improved just-in-time learning and relevant vector machine for batch processes, Canadian Journal of Chemical Engineering, 2021, 99(1): 334-344
Zhanchao Huang, Jianlin Wang*, Xuesong Fu, et al., DC-SPP-YOLO: dense connection and spatial pyramid pooling based YOLO for object detection, Information Sciences, 2020, 522: 241-258
Kepeng Qiu, Jianlin Wang*, Xinjie Zhou, et al., Soft sensor framework based on semisupervised just-in-time relevance vector regression for multiphase batch processes with unlabeled data, Industrial & Engineering Chemistry Research, 2020, 59: 19633−19642
Pan Zhong, Jianlin Wang*, Yongqi Guo, et al., Multiclass retinal disease classification and lesion segmentation in OCT b-scan images using cascaded convolutional networks, Applied Optics, 2020, 59(33): 10312-10320