个人简介
中共党员,2007年毕业于北京科技大学计算机应用技术专业,获工学博士学位。现任华中师范大学国家数字化学习工程技术研究中心教授,博士生导师。
近年参与或者主持的主要科研项目:
国家科技支撑计划项目: 公共文化数字资源传播服务关键技术研发与示范:中国乐器数字博物馆。
国家科技支撑计划项目: 数字学习内容公共服务关键支撑技术研究
国家科技支撑计划项目: 教育云规模化应用示范:教育云服务平台关键技术攻关。
国家科技支撑计划项目: 学习云服务平台关键技术研究与平台开发。
国家科技支撑计划项目: 中小学师资培训公共服务体系关键技术及标准规范研究
教育部—英特尔信息技术专项科研基金项目:基于电子双板的课堂教学平台(MOE-INTEL-11-02)。
湖北省教育厅产学研重大项目:数字教育公共服务平台研制与应用
中央高校基本科研业务费专项基金资助项目: 数字音乐专科教室关键技术研究
中央高校基本科研业务费(人工智能与智慧教育专项):智慧教室环境中人工智能辅助教师发展性评价研究。
国家数字化学习工程技术研究中心自选项目: starC教学平台。
专利:
发明专利:电子试卷的处理方法和装置,专利授权号:CN201710056450.6,公开号: CN106846961B,授权日:2020-03-27
发明专利:手势分割方法及装置,专利申请号:CN201710660054.4, 公开号: CN107292295B, 授权日:2019-12-24
发明专利:一种实现多种手势操作的触摸屏以及其操作方法, 专利申请号: CN201510781200.X, 公开号:CN105302419B, 授权日:2019-01-29
发明专利:一种概念图自动生成方法及系统,专利授权号:201410733403.7, 公开号:CN104574467A, 授权日:2017-09-12
发明专利:一种教师端与学生端之间的可靠数据传输方法,专利授权号:CN201510599178, 公开号:CN105162868A。 授权日:2017-03-08
发明专利:一种多种资源展示的交互式教学导图系统,专利授权号:201410733817, 公开号:CN104537902A, 授权日:2017-09-12
发明专利:一种教学平台中适用于多种教学资源批注讲解的方法, 专利授权号:201310516737, 公开号:CN105719328A, 授权日:2017-06-1
发明专利:一种手绘几何图形规范化方法及系统,专利授权号:2016100347849, 公开号:CN105719328A, 授权日:2018-06-12
发明专利:一种数字化课堂教学系统, 专利授权号:CN201010260121,公开号:CN101958058A, 授权日:2012-05-02
实用新型专利:一种课堂云和教育云协作的教学交互系统,专利授权号:CN201520657244.7, 公开号:CN205158690U。 授权日:2016-4-13
实用新型专利:PCB板和云盒主机,专利授权号:C201621353894, 公开号: CN206249287U, 授权日:2017-06-13
实用新型专利:一种基于无线通信的学生应答系统, 专利授权号:CN201020646811.6,公开号: CN201927209U, 授权日:2011-08-10
获奖:
2019年 “智能云端一体化学习关键技术与应用”获教育部科技进步奖一等奖。
2015年 “教育云关键技术与规模化应用”获湖北省科技进步一等奖
2006年 “基于知识库的表单处理技术及应用研究”获武汉市科技进步二等奖
2003年 “中文信息资源数字化平台PCMD”获湖北省科技进步三等奖
近期论文
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Shaohui Chen, Zengzhao Chen*. On human behavior recognition with deep learning and IR spectral signal restoration technologies in a natural classroom, Infrared Physics & Technology, Volume 105, 2020. 103167, ISSN 1350-4495.
Shaohui Chen, Zengzhao Chen#, Xiaogang Xu, Ningyu Yang, Xiuling He*, Nv-Net: Efficient infrared image segmentation with convolutional neural networks in the low illumination environment, Infrared Physics & Technology, Volume 105, 2020, 103184, ISSN 1350-4495.
T. Liu, H. Liu, Y. Li, Z. Chen, Z. Zhang and S. Liu, "Flexible FTIR Spectral Imaging Enhancement for Industrial Robot Infrared Vision Sensing," in IEEE Transactions on Industrial Informatics, vol. 16, no. 1, pp. 544-554, Jan. 2020.
Chen Z., Wang C., Deng C., Feng X., Zhang C. (2019) Feature Extraction and Classification of Dynamic and Static Gestures Based on RealSense. In: Patnaik S., Jain V. (eds) Recent Developments in Intelligent Computing, Communication and Devices. Advances in Intelligent Systems and Computing, vol 752. Springer, Singapore.
Ningyu Yang; Zengzhao Chen; Jing Zhang; Mengya Xiao; Hong Liu, Visual Annotation Reading in a Smart Environment,ICSET 2019: Proceedings of the 2019 3rd International Conference on E-Society, E-Education and E-Technology. August 2019, Pages 150–155.
Tingting Liu, Zengzhao Chen*, Xiangwei Wang,Automatic Instructional Pointing Gesture Recognition by Machine Learning in the Intelligent Learning Environment,ICDEL 2019: Proceedings of the 2019 4th International Conference on Distance Education and Learning,May 2019 Pages 153–157.
Jing Zhang, Zengzhao Chen, Chao Duan, Xiuling He,Reshaping the Teaching Ecology with the Construction of Informationalized Teaching Mod,ICDEL 2019: Proceedings of the 2019 4th International Conference on Distance Education and Learning,May 2019 Pages 184–188.
T. Liu, H. Liu, Z. Chen*, ect, FBRDLR: Fast blind reconstruction approach with dictionary learning regularization for infrared microscopy spectra, Infrared Physics & Technology, Volume 90,2018,Pages 101-109.
T. Liu, H. Liu, Z. Chen and A. M. Lesgold, "Fast Blind Instrument Function Estimation Method for Industrial Infrared Spectrometers," in IEEE Transactions on Industrial Informatics, vol. 14, no. 12, pp. 5268-5277, Dec. 2018.
T. Liu, Z. Chen*, H. Liu, Z. Zhang, FTIR spectral imaging enhancement for teacher’s facial expressions recognition in the intelligent learning environment, Infrared Physics & Technology, Volume 93, 2018, Pages 213-222.
He Binghua; Chen Zengzhao; Li Gaoyang; Jiang Lang; Zhang Zhao; Deng Chunlin, An expression recognition algorithm based on convolution neural network and RGB-D Images, 2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018).
Chen Z., Qian T., Zhang J., Yu Q., Liu G. Research on Instructional Design Strategies for Training Students’ Problem Solving Ability. ICITL 2018. Lecture Notes in Computer Science, vol 11003. Springer, Cham.
Tingting Liu; Zengzhao Chen*; Hai Liu; Zhaoli Zhang; Yingying Chen, Multi-modal hand gesture designing in multi-screen touchable teaching system for human-computer interaction, ICAIP '18: Proceedings of the 2nd International Conference on Advances in Image Processing, June 2018 Pages 198–202.
T. Liu, Z. Chen*, Z. Zhang, H. Liu and D. Kong, "Computer-Assisted Teaching Environment for Digital Signal Recognition Course Learning" 2018 International Symposium on Educational Technology (ISET), Osaka, 2018, pp. 240-244.
Zengzhao Chen, Xiaochao Feng, Tingting Liu, Cong Wang, Chao Zhang, "A Computer-assisted Teaching System with Gesture Recognition Technology and Its Applications", ICDTE '17: Proceedings of the International Conference on Digital Technology in Education(ACM), 2017-8.
Tingting Liu, Zengzhao Chen, Alan M. Lesgold, Xiaochao Feng, Cong Wang, "Novelty Blended Learning Pattern and Its Application in English Language Teaching", ICDTE '17: Proceedings of the International Conference on Digital Technology in Education(ACM), 2017-8.
T. Liu, Z. Chen, H. Liu, S. Liu, Z. Zhang and T. Cao, "Robust blind deconvolution for PMMW images with sparsity presentation," IEEE Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), Jeju, South Korea, 2016, pp.1-5.
T. Liu#, Z. Chen#, S. Liu*, Z. Zhang, and J. Shu*,“Blind image restoration with sparse priori regularization for passive millimeter-wave images”, Journal of Visual Communication and Image Representation, 2016.10 (40): 58-66.
刘婷婷,陈增照,刘三(女牙),何秀玲, 创新信息技术 支撑教学变革——以苏州市“未来教室”教育信息化建设为例[J], 中国教育信息化,2016(18)
孟潜,陈增照,李静,何秀玲.浅析信息技术与学科深度融合[J].中国教育信息化,2016(20):8-11.
顾峰,陈增照,刘婷婷,刘三(女牙).未来教室环境下的教师角色转变与学生自主性学习能力的提高研究[J].中国教育信息化,2016(16):13-15.
陈增照,李景鱼,基于PGP电子双板的物理课堂教学[J],中国教育信息化,2014(18)
陈增照,何秀玲,杨扬,董才林.基于相似二叉树的支持向量机多类分类方法, IEEE Proceedings of the 6th World Congress on Control and Automation, Dalian, China. 2006, 2(2):10041-10044.
陈增照,杨扬,董才林,何秀玲.支持向量机动态学习方法及其在票据识别中的应用. 北京科技大学学报.2006,28(2):199-202.
陈增照,何秀玲,杨扬,董才林. 基于多特征融合的票据分类技术及应用. 计算机工程与应用. 2006, 42(9):202-204.
陈增照,杨扬,何秀玲,喻莹,董才林. 基于核聚类的SVM多类分类方法. 计算机应用. 2007, 27(1):52-54.
陈增照,杨扬,何秀玲,喻莹,董才林. 基于核聚类的手写金融汉字识别方法. 计算机工程. 2007, 33(18):193-196
陈增照,刘春贵,杨扬,何秀玲,董才林,SVM最优模型快速选择方法,Proceedings of the 7th World Congress on Intelligent Control and Automation, June 25-27, 2008, Chongqing, China.