EXPERT DIRECTORY

专家档案Expert Directory

CTRIT公开展示的专家档案与参与方向Public CTRIT expert profiles and participation areas

专家档案用于公开展示CTRIT已聘任专家中的代表性成员。档案内容聚焦专家类别、专业身份、专业领域和参与方向,便于会员、研究者和合作机构理解专家网络可支持的研究与评价工作。The expert directory publicly presents representative appointed experts of CTRIT. Each profile focuses on category, professional identity, fields of expertise, and participation areas, helping members, researchers, and partner organizations understand the research and review work supported by the expert network.

赵明远Zhao Mingyuan

人工智能系统研究员AI Systems Researcher
高级研究员Senior Researcher
专业领域Fields
多模态学习、智能决策、模型评测Multimodal learning, intelligent decision-making, model evaluation
参与方向Participation
参与课题评审、技术路线论证、青年研究指导Research project review, technical roadmap assessment, young researcher mentoring

长期关注人工智能系统在产业场景中的可靠部署,熟悉模型评测、数据闭环和工程化验证工作,可为课题评审和成果评价提供专业意见。Focuses on reliable deployment of AI systems in industrial settings, with experience in model evaluation, data feedback loops, and engineering validation. Supports project review and achievement assessment with practical technical judgment.

梁承宇Liang Chengyu

数据治理研究员Data Governance Researcher
高级研究员Senior Researcher
专业领域Fields
数据要素治理、隐私计算、跨境数据合规Data governance, privacy computing, cross-border data compliance
参与方向Participation
参与白皮书审阅、数据治理课题评审、标准建议论证White paper review, data governance project review, standards recommendation assessment

研究方向集中在数据治理框架和隐私保护技术,熟悉企业数据资产管理、合规流程和安全评估方法。Works on data governance frameworks and privacy-preserving technologies, with familiarity in enterprise data asset management, compliance workflows, and security assessment methods.

沈若宁Shen Ruoning

智能制造研究员Intelligent Manufacturing Researcher
高级研究员Senior Researcher
专业领域Fields
工业视觉、质量检测、数字孪生Industrial vision, quality inspection, digital twins
参与方向Participation
参与成果评价、制造业课题复核、产业应用论证Achievement assessment, manufacturing project verification, industrial application review

长期参与智能制造系统规划与落地评估,关注视觉检测、产线数据采集和数字孪生系统的工程可行性。Has long worked on planning and implementation assessment for intelligent manufacturing systems, with focus on visual inspection, production-line data collection, and digital twin feasibility.