Faculty

Jiangyun Li

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Recommended Ph.D.Supervisor

Personal Information

Professional Title:Professor

Supervisor of Doctorate Candidates

Discipline:Pattern Recognition and Intelligent System

School/Department:School of Automation and Electrical Engineering, University of Science and Technology Beijing

Main positions:Executive Deputy Director of Key Laboratory of Knowledge Automation for Industrial Processes, Ministry of Education

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Honors and Titles:
北京科技大学“泰山钢铁优秀教师奖”,2022 ;
北京科技大学第一届本科“十佳班主任”,2021 ;
北京科技大学优秀工会干部,2020 ;
北京科技大学“我爱我师”称号,2019 ;
北京科技大学优秀共产党员,2019 ;
北京科技大学先进工作者,2018 ;
中国钢铁工业协会中国金属学会冶金科学技术一等奖(快速变频幅脉冲冷却控制模具扁钢在线预硬化生产线技术装备开发),2015 ;
首届全国高校微课教学比赛北京赛区优秀奖,2011 ;
北京高校第六届青年教师教学基本功比赛二等奖,2009 

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Profile

Mainly undertook and participated in the Ministry of Science and Technology’s national-level foreign expert project “Construction and Application of Deep Learning Model for the Field of Renewable New Energy”, the National Key R&D Program “Research and R&D Application of Robot Technology for High Temperature and Strong Impact Load Operations in Smelting Furnaces” and “Wearable More than 40 national-level and national-level and national-level projects including the "Key Parameter Testing Technology and Equipment Research and Development of Ice and Snow Sports Equipment Sports Performance" and the Inner Mongolia Autonomous Region's Special Fund for the Transformation of Scientific and Technological Achievements "Using Industrial Big Data AI Technology to Realize Real-time Online Analysis, Diagnosis and Precise Control of Cell Production Processes" Enterprise projects, with a total funding of more than 10 million yuan. He has published more than 100 papers, including more than 40 area 1/2 articles of the Chinese Academy of Sciences, 3 ESI highly cited papers, and many articles from top artificial intelligence conferences such as AAAI and ECCV. He has applied for and authorized more than 40 invention patents, 6 results have been transformed, accumulated funding of more than 5 million yuan, published 2 monographs, and won the first prize for progress in metallurgical science and technology.

Educational Experience

[1] 2014.7 to 2015.7

美国俄克拉荷马州立大学访问学者

[2] 2002.9 to 2006.4

北京科技大学 | 控制理论与控制工程  | 博士 | 研究生
2002.9转为硕博连读。

[3] 2000.7 to 2002.9

北京科技大学 | 控制科学与工程 | With Certificate of Graduation for Study as Master's Candidates

[4] 1996.9 to 2000.7

太原理工大学 | 工业自动化  | 学士 | 本科

Work Experience

[1] 2024.8 to Now

无锡市锡山区 | 区政府办公室 | 无锡市高端装备产业科技镇长团团长

[2] 2011.2 to Now

北京科技大学自动化学院

[3] 2006.4 to 2011.1

北京科技大学信息工程学院

  • Research Focus
  • Social Affiliations

[1] 基于深度学习的图像、视频理解与分析(遥感、工业、医疗等)

[2] 工业智能、视觉感知关键技术及应用、智能预测、高级诊断及自主优化

[3] 生产过程先进控制

[1] 中国仿真学会大数据系统与仿真专业委员会委员

[2] 北京人工智能学会理事

[3] 中国金属学会冶金人工智能技术分会委员

[4] 中国人工智能学会终身会员

Research Group

Name of Research Group:机器学习与工业智能

Description of Research Group:

立足智能制造领域,致力在工业4.0时代,面向复杂工业场景,以智慧方式,实现对人的智能与体能的贯通接替。感知层完成对信号信息的处理与解析,服务闭环控制系统;决策层完成对知识的理解与判定,服务高层决策;以此为核心价值, 提供管控一体化工业智能服务平台与技术。团队包括教授2人,副教授4人,讲师3人,海外留学人员2人。