陶然  (高级实验师)


男,高级实验师,硕士生导师

1975年出生于河南邓州,东华大学计算机科学与技术学院高级实验师,硕士生导师。拥有计算机软件高级程序员(2000年)、思科认证助理网络工程师(CCNA2009年)证书。发表论文30余篇、书籍3本,申请专利4个。研究兴趣包括信息系统、计算机视觉、数据挖掘、软件工程、电子商务、云计算、共同创造价值。

主要研究方向:

  计算机视觉:姿态识别、动作评估、虚拟试衣、手势识别、船脸识别

  数据挖掘:数据获取、处理流程、知识库建设、量化分析、可视化展示

  电子商务:业务流程分析、Web应用、App

  团队协作:WikiGitCo-Creation of ValueMental Model

  论文写作:文献检索、文献整理、论文模式、写作流程

讲授课程:

  网络工程;Java程序设计;IT文献检索与写作

主要研究成果:

[1]    “纺织服装行业电子商务新模式研究”获纺织行业信息化成果一等奖,2018

云计算节点技术,用于支撑实验室教学、管理和软件研发,发表多篇论文

[2]    “高校实验室管理模式改革与实践——构建智能化实验室管理平台” 获上海市教学成果一等奖,2013

[3]    “按领域知识结构和技术体系构建专业方向实验教学系统”获校教学成果一等奖,2008

近期主持的科研项目:

[1]    视频动作识别与智能分析系统开发,主持,横向,2020

[2]    智慧教育在线教学平台设计与开发,主持,横向,2019

[3]    工业品MRO服务系统研究与开发,主持,横向,2016

[4]    智能电源控制系统和视频监控系统,主持,横向,2013

[5]    云计算环境下自动化管理与多租户技术研究,主持,中央高校基本科研业务费,2011

[6]    校实验室智能管理系统开发,技术小组组长,2011

[7]    计算机学院云计算平台建设,设计与实现,2011

[8]    计算机学院实验教学平台开发,校企合作,2010

[9]    东华大学本科生教务管理系统的优化,主持,教改,2009

[10]    计算机实验教学示范中心网站建设,主持,教改2009

近几年的英文论文:

[1]XiaoKang XU, Ran TAO, Xiangyang FENG, Ming ZHU. A Lightweight Facial Expression Recognition Network Based on Dense Connections; proceedings of the 16th International Conference on Knowledge Management in Organisations, KMO 2022, July 11, 2022 - July 14, 2022, Hagen, Germany, 2022 [C]. Springer Science and Business Media Deutschland GmbH, 2022: 347-359.

[2]Puchun XIE, Ran TAO, Xin LUO, Youqun SHI. YOLOv4-MobileNetV2-DW-LCARM: A Real-Time Ship Detection Network; proceedings of the 16th International Conference on Knowledge Management in Organisations, KMO 2022, July 11, 2022 - July 14, 2022, Hagen, Germany, 2022 [C]. Springer Science and Business Media Deutschland GmbH, 2022: 281-293.

[3]Xin LUO, Zhen CHENG, Qing NI, Ran TAO, Youqun SHI. Defect detection algorithm for fabric based on deformable convolutional network [J]. 2022,

[4]Jinyang DING, Ran TAO, Xin LUO, Xiangyang FENG. An Asymmetric Parallel Residual Convolutional Neural Network for Pen-Holding Gesture Recognition; proceedings of the 16th International Conference on Knowledge Management in Organisations, KMO 2022, July 11, 2022 - July 14, 2022, Hagen, Germany, 2022 [C]. Springer Science and Business Media Deutschland GmbH, 2022: 321-333.

[5]Rui YANG, Ran TAO, Zhaoyang WANG, Xiangyang FENG. Etiquette Action Similarity Evaluation Based on Posture Recognition; proceedings of the 15th International Conference on Knowledge Management in Organizations, KMO 2021, July 20, 2021 - July 22, 2021, Kaohsiung, Taiwan, 2021 [C]. Springer Science and Business Media Deutschland GmbH, 2021: 404-415.

[6]Ran TAO, Lili ZHU, Qinqin WEN, Youqun SHI, Xiangyang FENG. The Usability Evaluation Method of E-learning Platform Based on Fuzzy Comprehensive Evaluation; proceedings of the 15th International Conference on Knowledge Management in Organizations, KMO 2021, July 20, 2021 - July 22, 2021, Kaohsiung, Taiwan, 2021 [C]. Springer Science and Business Media Deutschland GmbH, 2021: 292-304.

[7]Zijia LIU, Ran TAO, Youqun SHI, Qinglan LUO. A Sentiment Classification Model Based on Deep Learning; proceedings of the 15th International Conference on Knowledge Management in Organizations, KMO 2021, July 20, 2021 - July 22, 2021, Kaohsiung, Taiwan, 2021 [C]. Springer Science and Business Media Deutschland GmbH, 2021: 393-403.

[8]Abdur RASOOL, Ran TAO, Kaleem KASHIF, Waqas KHAN, Promise AGBEDANU, Neeta CHOUDHRY. Statistic Solution for Machine Learning to Analyze Heart Disease Data; proceedings of the 12th International Conference on Machine Learning and Computing, ICMLC 2020, February 15, 2020 - February 17, 2020, Shenzhen, China, 2020 [C]. Association for Computing Machinery, 2020: 134-139.

[9]Abdur RASOOL, Ran TAO, Marjan KAMYAB, Shoaib HAYAT. GAWA-A feature selection method for hybrid sentiment classification [J]. IEEE Access, 2020, 8(191850-191861.

[10]Mohammad Ali HASSANI, Ran TAO, Marjan KAMYAB, Mohammad Hadi MOHAMMADI. An Approach of Predicting Heart Disease Using a Hybrid Neural Network and Decision Tree; proceedings of the 5th International Conference on Big Data and Computing, ICBDC 2020, May 28, 2020 - May 30, 2020, Virtual, Online, China, 2020 [C]. Association for Computing Machinery, 2020: 84-89.

[11]Ran TAO, Jie ZHANG, Ze-Ping LV, You-Qun SHI, Xiang-Yang FENG. A FCM, grey model, and BP neural network hybrid fashion color forecasting method; proceedings of the 14th International Conference on Knowledge Management in Organizations, KMO 2019, July 15, 2019 - July 18, 2019, Zamora, Spain, 2019 [C]. Springer Verlag, 2019: 97-109.

[12]Abdur RASOOL, Ran TAO, Kamyab MARJAN, Tayyab NAVEED. Twitter Sentiment Analysis: A Case Study for Apparel Brands; proceedings of the 2018 International Seminar on Computer Science and Engineering Technology, SCSET 2018, December 17, 2018 - December 18, 2018, Shanghai, China, 2019 [C]. IOP Publishing Ltd, 2019: China University of Petroleum; Yanshan University.

[13]Ran TAO, Fan YAN, Guohua LIU. A quintuple for describing complex information systems; proceedings of the 13th International Conference on Knowledge Management in Organizations, KMO 2018, August 6, 2018 - August 10, 2018, Zilina, Slovakia, 2018 [C]. Springer Verlag, 2018: 411-422.

[14]Ran TAO, Yuanguo LUO, Guohua LIU. Sentiment analysis based on the domain dictionary: A case of analysing online apparel reviews [J]. International Journal of Web Engineering and Technology, 2018, 13(4): 380-407.

[15]Marjan KAMYAB, Ran TAO, Mohammad Hadi MOHAMMADI, Abdul RASOOL. Sentiment analysis on Twitter: A text mining approach to the Afghanistan status reviews; proceedings of the 2018 International Conference on Artificial Intelligence and Virtual Reality, AIVR 2018, November 23, 2018 - November 25, 2018, Nagoya, Japan, 2018 [C]. Association for Computing Machinery, 2018: 14-19.

[16]Ran TAO, Yuanguo LUO, Guohua LIU, Youqun SHI, Xin TIAN. A GRADE requirements engineering management model based on the co-creation of value; proceedings of the 6th International Workshop on Learning Technology for Education Challenges, LTEC 2017, August 21, 2017 - August 24, 2017, Beijing, China, 2017 [C]. Springer Verlag, 2017: 59-71.

[17]Ran TAO, Guohua LIU, Youqun SHI. One cloud computing node in one IP; proceedings of the 11th International Knowledge Management in Organizations Conference on the Changing Face of Knowledge Management Impacting Society, KMO 2016, July 25, 2016 - July 28, 2016, Hagen, Germany, 2016 [C]. Association for Computing Machinery, 2016.

[18]Wu HE, Jiancheng SHEN, Xin TIAN, Yaohang LI, Vasudeva AKULA, Gongjun YAN, Ran TAO. Gaining competitive intelligence from social media data Evidence from two largest retail chains in the world [J]. Industrial Management and Data Systems, 2015, 115(9): 1622-1636.

[19]Ran TAO, Wu LIANG, Guohua LIU, Zou ZHIHONG. The kernel of lab intelligent management system in university; proceedings of the 2nd International Conference on Enterprise Systems, ES 2014, August 2, 2014 - August 3, 2014, Shanghai, China, 2014 [C]. Institute of Electrical and Electronics Engineers Inc., 2014: 336-339.

[20]Liang WU, Zhihong ZOU, Ran TAO, Wenhua WU. Intelligent management system used for open lab; proceedings of the 2012 7th International Conference on Computer Science and Education, ICCSE 2012, July 14, 2012 - July 17, 2012, Melbourne, VIC, Australia, 2012 [C]. IEEE Computer Society, 2012: 1160-1163.

近几年的中文论文:

[1]叶敏,陶然.一种加工类产品设计资料存储及展示方法[J].电脑知识与技术,2023,19(01):137-139.DOI:10.14004/j.cnki.ckt.2023.0045.

[2]张璐,陶然,彭志飞,丁金洋.基于改进AlexNet的双模态握笔手势识别[J].智能计算机与应用,2021,11(06):51-55+62.

[3]王玺瑞,陶然.基于区块链的服装产业协同制造溯源研究[J].智能计算机与应用,2020,10(03):150-154+159.

[4]贺宇,史有群,陶然,罗辛.基于服装图像视觉特征的冷启动问题缓解[J].南京师范大学学报(工程技术版),2019,19(03):15-20.

[5]赵晓丹,陶然.四种移动应用开发模式比较与分析[J].智能计算机与应用,2018,8(01):72-75.

[6]李宏媛,陶然.服装电商评论情感分析研究[J].智能计算机与应用,2017,7(01):27-30+34.

[7]王伟,陶然.基于虚拟化技术的Hadoop集群搭建与应用[J].软件导刊,2016,15(04):50-54.

[8]刘学政,史有群,罗辛,陶然.一个基于压缩后缀数组的乐纹索引算法[J].计算机科学,2015,42(S1):462-464+488.

[9]谢阳,史有群,陶然,潘乔.基于虚拟化技术的教学云平台构建与管理[J].计算机与现代化,2013(08):218-221.

[10]吴良,邹志宏,吴文华,陶然.智能实验室管理系统的开发与实践[J].实验室研究与探索,2012,31(05):169-172.

荣誉及获奖

  ● 纺织行业信息化成果一等奖,2018

 ● 上海市教学成果一等奖“高校实验室管理模式改革与实践——构建智能化实验室管理平台”,2013

  ● 上海市教委党委系统先进基层党组织,支部书记,2011

  ● 校教学成果一等奖“按领域知识结构和技术体系构建专业方向实验教学系统”,2008

国际交流与合作:

  ●2014年秋至美国欧道明大学(Old Dominion UniversityODU)信息技术系访学一年,研究科研团队建设,数据挖掘和智慧学习

  ● 多次参加国际学术会议,多年度

  ● 与美国欧道明大学信息技术系和美国普渡大学数学与计算机系教授合作推荐和联合培养硕士和博士研究生

联系方式:

  ● 电话:021-67792285

  ● 邮箱:taoran@dhu.edu.cn

  ● 办公室:松江区人民北路29991号学院楼241