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邵海见 副教授

计算机学院

通讯地址:江苏省镇江市京口区梦溪路2号

个人邮箱:jsj_shj@just.edu.cn

邮政编码:212100

办公地点:计算机学院

传真:+86-511-8440901

  • 个人简介

  • 研究方向

  • 科研团队

  • 科研项目

  • 获奖动态

  • 教学随笔

  • 教育经历

  • 课程教学

  • 论文著作

  • 科研论文

  • 科研横向项目

  • 科研纵向项目

  • 科研专利

  • 科研动物专利

  • 计算机学院教职工、东南大学工学(模式识别)博士、美国内华达大学(维加斯分校)工学(电子与计算机工程)博士后(Postdoc Fellow/Postdoctoral Researcher)、美国国家博士后协会会员、南京边缘智能研究院首席科学家与技术总监、学术桥/五思云/知网评审专家库成员、教育部学位中心本科/硕士/博士学位论文评审专家、江苏省计算机学会会员、江苏省网络空间安全学会会员、数字化智能应用研究所成员、物联网工程系副主任、江苏科技大学副教授、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). 连续多年年度教职工考核优秀,获校优秀学业导师称号.

    研究方向聚焦人工智能、计算机视觉、多模态智能计算、边缘智能与复杂工程系统建模与评估,长期从事智能感知、三维建模、工业智能软件与安全演练系统等方向的研究与工程实践。

    工作与社会服务经历

    曾任 美国内华达州交通部南部铁路系统雇员(FRA 49 CFR Part 243)

    曾任 NASA EPSCoR 项目评阅专家(科研项目评审)

    曾任 Olive Crest 州福利院志愿者(公益与社会服务活动)

    担任 泰晤士高等教育(THE)全球学术评议人员(国际学术评估)

    担任 南京边缘智能研究院首席科学家与技术总监(科研与技术规划)

    担任 教育部学位中心本科/硕士/博士学位论文评审专家

    参与 美国 Brightline West 高速铁路项目,开展特殊车站实地测试与运营测量

    作为技术咨询考察联合太平洋铁路公司(Union Pacific Railroad)加州巴斯特大型编组站

    科研与教学成果

    主持国家自然基金 1 项(已结题)

    主持江苏省高校自然科学研究面上项目 1 项(已结题)

    第一作者及通讯作者发表 SCI 期刊论文60余篇

    第一作者出版学术专著 1 部以及第一申请人申请与授权发明专利 10 余项

    第一指导教师指导硕研/本科获2019~2025 年数模/电子设计赛/物联网设计赛等国赛/美赛/省赛一//三等奖10余次

    代表性系统与项目经验

    模块化船体三维建模与检验软件系统, 面向复杂工业结构建造精度管控,主导研发多源点云统一处理与三维可视化系统,支持大型系统离线/在线部署。

    工业智能运维安全演练与虚实联动系统, 聚焦工业软件安全与智能运维,融合 AI 视觉巡检与三维场景可视化,构建虚拟—物理协同的安全演练架构。

    大型装备项目目标完成度与技术成熟度评估系统, 构建覆盖虚拟仿真与现场试验阶段的目标完成度与 TRL 评估方法,为复杂工程项目提供量化决策支持。

    工业仿真参数建模与可视化配置工具, 面向工业电弧测试,开发与 Fluent 平台协同的参数管理与可视化配置软件。

    Ph.D. in Engineering (Pattern Recognition and Intelligent Systems), Southeast UniversityPostdoctoral Fellow/Researcher in Electrical and Computer Engineering, University of Nevada, Las Vegas (UNLV), USAMember of the National Postdoctoral Association (NPA, USA), Jiangsu Computer Society, and Jiangsu Cybersecurity SocietyMember of the Expert Review Panel for Academic Bridge, Wusi Cloud, and CNKI; Expert Reviewer for Undergraduate/Master/Ph.D. Dissertations, Academic Degrees Evaluation Center of the Ministry of Education, ChinaMember of the Institute of Digital Intelligent ApplicationsChief Scientist and Technical Director, Nanjing Edge Intelligence Research InstituteAssociate Professor, Deputy Director of the Internet of Things Engineering Department, Jiangsu University of Science and TechnologyAcademic Master’s Supervisor (Computer Science and Technology, Software Engineering, Artificial Intelligence); Professional Master’s Supervisor (Electronic Information, Artificial Intelligence) 

    Professional & Academic Services Experience

    Railway Employee at the Southern Division of Nevada Department of Transportation (Compliant with FRA 49 CFR Part 243)

    Reviewer for NASA Experimental Program to EPSCoR Projects

    Global Academic Reviewer for Times Higher Education (THE)

    Volunteer at NV Olive Crest Welfare Institute

    Participant in the field tests and station operation measurement of special stations for Brightline West's first high-speed railway project in the U.S.

    Technical Consultant for the inspection of the largest marshalling yard of Union Pacific Railroad Inc. in Barstow, California

    Research & Academic Achievements

    Principal Investigator of 1 National Natural Science Foundation of China project (Completed)

    Principal Investigator of 1 General Project of Natural Science Research in Jiangsu Provincial Universities (Completed)

    Over 50 SCI journal papers as the first/corresponding author

    Author of 1 academic monograph as the first authorFirst applicant for more than 10 invention patents (granted and pending)

    First supervisor guiding students to win over 10 national/provincial/international awards (e.g., Mathematical Modeling Competition, Electronic Design Competition, IoT Design Competition) during 2019–2025

    Systems and Project Experience

    Modular Ship Hull 3D Modeling and Inspection System
     Targeting construction accuracy control for complex industrial structures, led the development of a unified multi-source point cloud processing and 3D visualization system, supporting both offline and online deployment for large-scale applications.

    Industrial Intelligent Operation and Maintenance Security Drill System with Virtual–Physical Integration
     Focusing on industrial software security and intelligent operation and maintenance, integrated AI-based visual inspection with 3D scene visualization to construct a virtual–physical collaborative architecture for security drills and validation.

    Project Completion and Technology Readiness Assessment System for Large-Scale Equipment
     Developed project completion assessment and Technology Readiness Level (TRL) evaluation methods covering both virtual simulation and on-site testing stages, providing quantitative decision support for complex engineering projects.

    Industrial Simulation Parameter Modeling and Visual Configuration Tool
     Targeting industrial arc testing scenarios, developed a parameter management and visual configuration tool interoperable with the Fluent simulation platform.

  • 主要科研方向:

    i) 大数据与机器学习、计算机视觉相关的检测/注释/增强/标注/分割、自然语言处理以及虚拟/增强现实 (VR/AR);

    ii) 量子神经网络计算、智能计算/边缘计算/云计算与图计算、高性能部署以及AI文本/图像/视频的分析与创建;

    iii) 通信信号处理、多传感器融合、多模态多任务学习、激光/视觉SLAM/结构光、数字人以及无人机载辅助道桥检测等;

    部分软件展示:

    模块化船体三维建模与检验方法及软件系统
     主导研究并实现模块化船体三维建模与检验软件体系,支持大型系统的离线与在线双模式部署。面向船体建造精度管控关键问题,提出多源雷达点云统一处理与建模方法,构建涵盖基础信息管理、检验数据管理与三维可视化的完整技术框架。

    工业智能运维安全演练与虚实联动方法
     主导研究工业智能运维场景下的安全演练方法与系统实现,面向工业软件漏洞的全流程攻防演练需求,探索 AI 视觉巡检与三维场景可视化的深度融合机制,构建“物理—虚拟”协同的虚实联动演练架构。

    大型装备项目目标完成度与技术成熟度评估方法
     主导研究大型装备类项目全流程评估方法,构建目标完成度评估指标体系与技术成熟度(Technology Readiness Level, TRL)评估模型,支持虚拟仿真验证、现场试验等多阶段评估场景,为复杂工程项目决策提供量化支撑。

    工业电弧仿真参数建模与可视化配置方法
     主导研究工业电弧仿真参数的建模与可视化配置方法,开发可与 Fluent 工业仿真平台协同的参数管理软件,实现复杂仿真参数的结构化解析与可视化表达,提出基于正则表达式的 C/C++ 参数文件解析机制。

    Research Interests

    i) Big Data and Machine Learning, including computer vision–based detection, annotation, augmentation, labeling, and segmentation; natural language processing; and virtual/augmented reality (VR/AR).

    ii) Quantum Neural Network Computing; intelligent computing, edge/cloud computing, and graph computing; high-performance deployment; and AI-based analysis and generation of text, images, and videos.

    iii) Communication Signal Processing, multi-sensor fusion, multimodal and multitask learning; LiDAR/vision-based SLAM and structured light; digital humans; and UAV-assisted inspection of bridges and road infrastructure.

    Representative Research and Software Systems

    Modular Ship Hull 3D Modeling and Inspection Methods and Software System
     Led the research and development of a modular ship hull 3D modeling and inspection software framework supporting both offline and online deployment for large-scale systems. Focusing on key challenges in construction accuracy control, proposed unified processing and modeling methods for multi-source radar point cloud data, and established an integrated technical framework encompassing basic information management, inspection data management, and 3D visualization.

    Industrial Intelligent Operation and Maintenance Security Drills with Virtual–Physical Integration
     Led the research on security drill methodologies and system implementation for industrial intelligent operation and maintenance scenarios. Targeting full-process attack–defense drills for industrial software vulnerabilities, explored the deep integration of AI-based visual inspection and 3D scene visualization, and constructed a virtual–physical collaborative architecture for immersive security training and validation.

    Project Completion and Technology Readiness Assessment Methods for Large-Scale Equipment Systems
     Led the research on full-lifecycle evaluation methods for large-scale equipment projects. Developed indicator systems for project objective completion assessment and Technology Readiness Level (TRL) evaluation, supporting multi-stage scenarios such as virtual simulation-based validation and on-site experimental testing, and providing quantitative decision support for complex engineering projects.

    Modeling and Visual Configuration of Industrial Arc Simulation Parameters
     Led the research on modeling and visual configuration methods for industrial arc simulation parameters. Developed a parameter management and visualization tool interoperable with the Fluent industrial simulation platform, enabling structured parsing and visual representation of complex simulation parameters, and proposed a C/C++ parameter file parsing mechanism based on regular expressions.

    (A complete list of published works can be found:https://scholar.google.com/citations?user=d3mvChQAAAAJ&hl=en )

  • 工学博士 (Ph.D., Doctor of Engineering, Recipient of the Phoenix Scholarship)

    理学硕士 (M.S., Master of Science in Natural Sciences, Recipient of the Outstanding Master's Thesis, Excellent Graduate and First-Class Scholarship)

    管理学学士 (B.S., Bachelor of Science in Management, Recipient of the Subject-Specific Scholarship)

  • 2016~2017第1学期,本科生课程《数字与电子取证》

    2016~2017第2学期,研究生课程《图像理解与分析》

    2017~2018第1学期,本科生课程《信安数学》《离散数学》

    2017~2018第2学期,本科生课程《数字与电子取证》、研究生课程《图像理解与分析》

    2018~2019第1学期,本科生课程《信安数学》《离散数学》

    2018~2019第2学期,留学生课程《Operating Systems》本科生课程《离散数学》

    2019~2020第2学期,本科生课程《离散数学》

    2020~2021第1学期,本科生课程《通信原理》《信号通信与控制系统》

    2020~2021第2学期,研究生课程《神经网络与量子计算》研究生课程《通信技术》

    2021~2022第1学期,本科生课程《信号通信与控制系统》

    2021~2022第2学期,本科生课程《信安数学》

    2023~2024第2学期,研究生课程《通信技术》留学生课程《Operating Systems》

    2024~2025第1学期,本科生课程《物联网通信技术》

    2024~2025第2学期,本科生课程《信安数学》研究生课程《通信技术》

    2025~2026第1学期,留学生课程《Computer Organization and Architecture》