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邓星
副教授
计算机学院
个人邮箱:
xdeng@just.edu.cn
办公地点:
计算机学院
通讯地址:
江苏省镇江市长晖路666号
邮政编码:
212100
传真:
+86-511-8440901

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  • 江苏科技大学计算机学院教职工、东南大学工学(模式识别)博士与工学(控制科学与工程)博士后、学术桥/五思云评审专家库成员教育部学位中心博士/硕士/本科学位论文评审专家、江苏省计算机学会会员、计算机科学与技术系党委书记、计算机科学与技术系副主任、人工智能(AI)专业负责人、江苏科技大学副教授、数据科学与知识工程研究所成员学术型硕士研究生导师 (计算机科学与技术, 软件工程人工智能)、专业型硕士研究生导师 (电子信息人工智能). 以第一作者以及通讯作者发表20余篇SCI期刊论文. 主持国家自然基金1 (已结题)、高校理工类项目1 (已结题),以第一作者出版学术专著1部、授权中国/美国发明专利3项. 担任第一指导教师曾获得2020年~2024年研究生/本科生嵌入式AI设计大赛 (AI专项)/数模等国赛/美赛一/二/三等奖10余次2021年获得校优秀教师称号,连续多年年度教职工考核优秀. 

    Ph.D. in Engineering (Pattern Recognition) and Postdoctoral Fellow in Engineering (Control Science and Engineering) from Southeast University, Associate Professor at Jiangsu University of Science and Technology, Master's Research Supervisor (Computer Science and Technology, Software Engineering, Artificial Intelligence), Professional Master's Supervisor (Electronic Information, Artificial Intelligence), Member of the Academic Bridge Review Expert Database, Review Expert for Doctoral and Master's Theses at the Ministry of Education's Degree Center, Member of the Jiangsu Computer Society, Member of the Data Science and Knowledge Engineering Research Institute, Secretary of the Computer Science and Technology Department, Deputy Director of the Computer Science and Technology Department, and Program Director of the Artificial Intelligence Program.

  • 1) 大数据与机器学习云平台支持自动化数据处理,分布式环境搭建与AI高性能计算等;

    2) 计算机视觉CV: 深度学习、强化/迁移学习、联邦学习相关的计算机视觉计算方法等;

    3) 图计算及应用云环境下的图计算、黎曼曲面相关的形变分析,高精度识别与重建等;

    i) Big data and machine learning: the cloud platform makes automatic data processing possible by building distributed environments, AI high-performance computing, etc.;

    ii) Computer vision: deep learning, reinforcement/transfer learning, computer vision computing methods tied to federated learning, etc.;

    iii) Graph computing: graph computing in the cloud, deformation analysis of Riemann surfaces, high-precision recognition and reconstruction, etc.;

  • 工学博士 (模式识别Ph.D. in Pattern Recognition)

    理学硕士 (应用数学, M.S. in Applied Mathematics)

    理学学士 (应用数学本科, B.S. in Applied Mathematics)

  • 2020.02-2020.06, 本科生必修课-信安数学

    2020.09-2020.12, 本科生专业课-算法设计与分析

    2021.03-2022.06, 本科生专业课-最优化理论与算法

    2019.02-2020.06, 研究生学位课-图像理解与分析

    2019.09-2022.01, 留学生必修课-Computer Organization and Architecture

    2019.09-2022.06, 实践性教学环节-硬件实习1-Computer Organization and Architecture

    2019.09-2022.06, 实践性教学环节-硬件实习2-Computer Organization and Architecture

    2023.02-2023.06, 留学生必修课-Operating System

    2023.02-2023.06, 实践性教学环节-硬件实习1-Computer Organization and Architecture

    2023.02-2023.06, 实践性教学环节-硬件实习2-Computer Organization and Architecture