师资队伍

复旦大学可信具身智能研究院教师详情，包括研究方向、学术成果与联系方式。

Yu-Gang Jiang

Vice President & Distinguished Professor, Fudan University, Shanghai, China

Dean, Institute of Trustworthy Embodied Artificial Intelligence

Dean, College of Intelligent Robotics and Advanced Manufacturing

Email: ygj@fudan.edu.cn | Google Scholar Homepage

研究领域

多模态人工智能

具身智能

可信人工智能

The Institute of Trustworthy Embodied AI at Fudan University invites applications for tenure-track faculty positions and Master/Ph.D. opportunities.

复旦大学可信具身智能研究院有多个长聘轨教职岗位和读研机会，诚邀申请。

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Yu-Gang Jiang is Vice President of Fudan University and Distinguished Professor of CS and AI. As the founding Dean of Fudan's new and independent Institute of Trustworthy Embodied AI, he leads a large team of researchers in developing multimodal AI systems with physical bodies that integrate seamlessly into human life, solving real-world challenges with adaptability, efficiency, and trust. His research over the past two decades has been primarily focused on video content analysis. As one of the earliest researchers to explore deep learning models for video and vision-language analysis, his research outcomes have been adopted in leading large vision-language models from NVIDIA, Alibaba and DeepSeek. His work has also led to the development of advanced tools applied in numerous practical applications, including defect detection for high-speed railway infrastructure. Over the years, the video analysis toolkits and datasets released by his group, such as CU-VIREO374, CCV, THUMOS, FCVID, WildDeepfake and LVIS-INSTRUCT4V, have been widely adopted in both academia and industry. He currently serves as Chair of the ACM Shanghai Chapter and Associate Editor of several international journals. For contributions to large-scale video analysis, he received a State Natural Science Award, the Ho Leung Ho Lee Foundation Prize for Scientific and Technological Innovation, and the Xplorer Prize, and was elected to Fellow of IEEE, IAPR, and CCF. Prior to his current role, he served as Dean of School of Computer Science and Director of University Human Resources.

姜育刚，复旦大学副校长，智能机器人与先进制造创新学院院长，可信具身智能研究院院长。研究领域为多模态人工智能与具身智能，担任国家自然科学基金委创新群体带头人、上海市多模态具身智能重点实验室主任、上海市智能视觉计算协同创新中心主任，主持新一代人工智能国家科技重大专项、国家重大科研仪器研制项目等。自2005年起专注于视频内容分析理论与技术研究，是国际上最早将深度学习方法成功拓展至视频数据处理的学者之一。近期在多模态人工智能领域的研究成果被英伟达、阿里巴巴、深度求索等企业的大模型研发团队使用。著有《人工智能：数据与模型安全》等中英文著作三部，多项发明技术在知名企业转化成效显著。构建的开源数据和工具集如CU-VIREO374、CCV、THUMOS、FCVID、WildDeepfake和LVIS-INSTRUCT4V被广泛采用，研发的应用系统多次服务国家关键领域的重要任务。以第一完成人获2023年度国家自然科学二等奖和3项教育部或上海市科学技术一等奖。入选长江学者特聘教授等人才计划，获何梁何利基金科学与技术创新奖、科学探索奖、首届上海杰出人才、上海市青年科技杰出贡献奖等个人奖励和荣誉。历任复旦大学计算机学院（软件学院）院长、人事处处长等职。受邀担任上海市人工智能伦理与治理委员会专家、上海市产业基础再造战略咨询委员会专家、ACM上海分会主席、上海市计算机学会副理事长、ACM TOMM等国际期刊编委等。因在大规模视频内容分析方面做出的贡献，当选美国电气电子工程师学会会士（IEEE Fellow）、国际模式识别协会会士（IAPR Fellow）、中国计算机学会会士（CCF Fellow）。