同济大学城市公共安全智能感知实验室依托同济大学电子与信息工程学院，面向国家“新型智慧城市”与“公共安全治理现代化”重大需求，聚焦人工智能与复杂系统安全交叉领域，致力于构建面向城市公共安全的智能感知、分析与决策技术体系。实验室现有博士研究生7人、在读研究生16位，毕业研究生8位，其中获得上海市优秀毕业生2位，同济大学优秀学位论文2篇，累计获得国家奖学金4人次，形成了一支结构合理、方向明确的科研团队。

Tongji University Urban Public Safety Intelligent Sensing Laboratory is affiliated with the School of Electronics and Information Engineering of Tongji University. Addressing the major national needs of “new smart cities” and the “modernization of public safety governance,” the laboratory focuses on the interdisciplinary field of artificial intelligence and complex systems safety, and is committed to developing a technical system for intelligent sensing, analysis, and decision-making for urban public safety. The laboratory currently has 7 doctoral students and 16 enrolled graduate students, with 8 graduate students having completed their studies. Among them, 2 have been recognized as Outstanding Graduates of Shanghai, and 2 have received the Tongji University Outstanding Dissertation Award. The laboratory has received the National Scholarship a total of 4 times, forming a research team with a well-balanced structure and clearly defined research directions.

实验室围绕城市公共安全中的关键问题，重点开展大客流安全、网络舆情分析、大模型智能体、巡检机器人、机器人行为安全以及民用飞机生产安全等方向研究，逐步形成“多源感知—语义理解—风险评估—决策控制”的一体化技术体系。在基础研究方面，聚焦复杂人群行为建模、异常行为识别、群体动力学与稳定性分析、多模态信息融合等关键技术；在应用层面，面向大型城市活动安全保障、公共空间风险预警、工业与航空安全生产等典型场景，推动人工智能技术的落地应用。

The laboratory focuses on key issues in urban public safety and conducts research in areas including large passenger flow safety, online public opinion analysis, large model agents, inspection robots, robot behavioral safety, and civil aircraft production safety, gradually developing an integrated technical system of “multi-source perception—semantic understanding—risk assessment—decision-making and control.” In terms of fundamental research, the laboratory focuses on key technologies such as complex crowd behavior modeling, abnormal behavior recognition, group dynamics and stability analysis, and multimodal information fusion. At the application level, it promotes the practical application of artificial intelligence technologies in typical scenarios such as safety assurance for large-scale urban events, risk warning in public spaces, and industrial and aviation production safety.

实验室负责人长期深耕AI赋能公共安全领域，主持国家自然科学基金项目3项、上海市自然科学基金项目及重大研究计划项目等多项科研任务，参与国家重点研发计划与国家社科基金重点项目，形成了系统性的科研积累。团队累计发表学术论文及专著107篇，英文SCI期刊论文29篇（含中科院一区SCI论文11篇、JCR一区论文20篇），授权发明专利31件、软件著作权44件，出版多部学术专著，研究成果在人群行为识别、群体安全建模及智能制造安全领域具有较强创新性与应用价值。

The head of the laboratory has long been engaged in research on AI-enabled public safety and has led three National Natural Science Foundation of China (NSFC) projects, as well as multiple research projects including Shanghai Natural Science Foundation projects and major research program projects. The laboratory head has also participated in the National Key R&D Program and key projects funded by the National Social Science Fund of China, forming a systematic body of research experience and achievements. The team has published a total of 107 academic papers and monographs, including 29 SCI-indexed journal papers in English, among which 11 are SCI papers in CAS Q1 journals and 20 are JCR Q1 papers. The team has also been granted 31 invention patents and 44 software copyrights and has published multiple academic monographs. The research achievements demonstrate strong innovation and application value in areas such as human behavior recognition, group safety modeling, and intelligent manufacturing safety.

在科研奖励与成果转化方面，团队获得教育部科技进步奖二等奖、上海市科技进步奖等多项省部级奖励，并在民用飞机制造安全与绿色数字化转型领域取得显著成果，相关技术入选世界互联网大会重要成果，达到国际领先水平。依托产学研合作，实验室构建了面向航空制造与城市安全的智能化管理平台，形成了从理论研究到工程应用的完整技术链条。

In terms of research awards and technology transfer, the team has received multiple provincial- and ministerial-level awards, including the Second Prize of the Ministry of Education Science and Technology Progress Award and the Shanghai Science and Technology Progress Award. The team has also achieved significant results in the fields of civil aircraft manufacturing safety and green digital transformation, with related technologies being selected as important achievements of the World Internet Conference and reaching an internationally leading level. Through industry-academia-research collaboration, the laboratory has developed intelligent management platforms for aviation manufacturing and urban safety, forming a complete technology chain from theoretical research to engineering applications.

实验室团队依托高水平科研平台，团队在中国商飞-同济大学战略合作框架2.0指引下，依托大飞机研究院、教育部企业数字化工程中心、上海市国产大飞机安全生产数字化转型技术服务基地等科研平台，确保场景界定明确，科研攻关有的放矢，为顺利开展高层次、高质量产学研技术研发与高层次人才培养提供了环境支撑，增强了本项目实施的技术、人才、场景等关键要素实施落地的可行性。

The laboratory team relies on high-level research platforms. Under the guidance of the COMAC-Tongji University Strategic Cooperation Framework 2.0, the team leverages research platforms including the Institute of Large Aircraft, the Ministry of Education Enterprise Digital Engineering Center, and the Shanghai Technology Service Base for the Digital Transformation of Safety Production in Domestic Large Aircraft Manufacturing. These platforms ensure clearly defined application scenarios and targeted scientific and technological research, providing strong environmental support for the smooth implementation of high-level, high-quality industry-academia-research technology development and the cultivation of high-level talent. They also enhance the feasibility of implementing and deploying key elements of this project, including technology, talent, and application scenarios.

未来，实验室将持续面向城市公共安全与低空经济发展需求，深化人工智能、大模型与智能感知技术融合，重点突破复杂环境下的智能决策与安全控制关键技术，打造具有示范效应的科研平台与应用体系。

In the future, the laboratory will continue to address the development needs of urban public safety and the low-altitude economy, deepen the integration of artificial intelligence, large models, and intelligent sensing technologies, focus on breakthroughs in key technologies for intelligent decision-making and safety control in complex environments, and build research platforms and application systems with demonstrative impact.