IntroductionWang Jianlin, Ph.D., Professor, and Doctoral Supervisor. He earned 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. His primary research areas include intelligent detection of complex process, data-driven modeling, visual measurement, optoelectronic precision measurement, intelligent image processing, and intelligent monitoring of complex systems. As a principal investigator, he has led and completed 15 national projects, including those funded by the National Natural Science Foundation of China, Major National Scientific Instrument Development, the National Key R&D Program, and the Beijing Natural Science Foundation, as well as more than 30 corporate science and technology projects. He has published over 100 SCI and EI-indexed academic papers as the first author or corresponding author, holds 21 authorized national invention patents, has filed for more than 30 invention patents, and registered over 10 software copyrights. He has also authored four textbooks. He received the second prize of the Beijing Teaching Achievement Award (as the primary contributor) and is the head of the Beijing Excellent Course Automation Devices. He teaches the graduate course Theory and Technology of Intelligent Detection and the undergraduate core course Testing Technology and Instruments. He serves as a member of the Teaching Steering Committee of Ministry of Education for Instrument Major in Higher Education, a member of the Instrument Science and Technology Teaching Committee of the China Machinery Industry Association, a supervisor of the China Instrument and Control Society (CIS), an executive member of the CIS Laboratory Instrument Branch, and a member of the Intelligent Aerospace Systems Committee of the Chinese Association for Artificial Intelligence. He is also a member of the CIS Education Working Committee, a certified expert with the China Engineering Education Major Accreditation Association, and an expert reviewer for the National Science and Technology Awards, the Ministry of Education and Beijing Science and Technology Awards. Additionally, he is an evaluation expert for the National Natural Science Foundation of China, the National Key R&D Program, and domestic and foreign SCI journals. EducationWork ExperienceSocial PositionSocial ActivitiesResearchResearch areas：intelligent detection of complex process, data-driven modeling, visual measurement, optoelectronic precision measurement, intelligent image processing, and intelligent monitoring of complex systems. TeachingTeaching courses： Theory and Technology of Intelligent Detection, Measurement Technology and Instrument. PostgraduatesFundingVertical ProjectHorizontal ProjectPublicationsJianlin 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 AwardsPatentHonor RewardAdmissions Information |