关于举行美国田纳西大学诺克斯维尔分校李书艾助理教授学术讲座的通知

发布时间:2022-04-13设置

报告题目:迈向未来智能、安全、可持续的建筑环境

Toward Future Smart, Safe, and Sustainable Built Environments

报告时间:2022415日(星期五)上午9:0010:00

报告地点:腾讯会议 ID 93382698531

腾讯直播间:https://meeting.tencent.com/l/hA1SrLFrwFwl

报 告 人:李书艾(美国田纳西大学诺克斯维尔分校,土木与环境工程系)

欢迎广大师生参加。

 

 

土木与交通学院

2022413

 

 

报告人简介:

李书艾博士是美国田纳西大学诺克斯维尔分校土木与环境工程系的助理教授,也是安全与可持续环境研究所的兼职教师。他本科毕业于天津大学,获得水力发电工程和项目管理双学士学位;随后进入普渡大学,先后获得建筑工程与管理、工业工程和经济学三个硕士学位以及土木工程博士学位。研究方向为开发传感、人工智能、机器人、数字孪生、信息建模和可视化的新方法,以解决工程、科学和管理方面的基本挑战,并促进在建筑自动化、应急响应和环境健康方面的应用。曾获5项美国国家自然科学基金资助、田纳西州运输部、美国地质调查局和头部信息技术公司(Trimble)的支持,发表了48篇期刊论文。李老师还取得了多项专业奖项,包括普渡大学齐默尔曼创新奖、专业研究奖、田纳西大学的多学科研究成功奖、ASCE科林伍德奖、建筑与环境最佳论文奖以及土木工程计算杂志的杰出审稿人表彰。

Dr. Li is an assistant professor of civil and environmental engineering at the University of Tennessee Knoxville, and an affiliated faculty at the Institute of a Secure & Sustainable Environment. He graduated from Purdue University with a Ph.D. degree in Civil Engineering, and three Master's degrees in construction engineering and management, industrial engineering, and economics. He also holds two Bachelor’s degrees in hydroelectric engineering and project management from Tianjin University. Dr. Li’s research focuses on developing novel methods in sensing, artificial intelligence, robotics, digital twin, information modeling, and visualization to address fundamental challenges in engineering, science, and management, and facilitate applications in construction automation, emergency response, and environmental health. His research has been supported by 5 National Science Foundation awards, Tennessee Department of Transportation, United States Geological Survey, and leading information technology companies such as Trimble, leading to 48 published journal papers. Dr. Li also received several professional awards including the Zimmerman Innovation Award from Purdue University, Professional Promise in Research Award, and Success in Multidisciplinary Research Award from the University of Tennessee, ASCE Collingwood Prize, Best Paper Award from Building and Environment, and Outstanding Reviewer Recognition for the Journal of Computing in Civil Engineering.

 

报告摘要:

在新冠疫情等引发的公共卫生突然事件、自然和人为灾害(如建筑物倒塌和枪击事件)、摇摇欲坠的基础设施以及国家面临的劳动力老龄化等诸多因素的影响下,人们对智能、安全和健康的建筑环境的迫切需求从未如此强烈。支持人工智能和以人为中心的信息物联系统 (CPS)在解决此类关键问题等方面具有巨大潜力。本次讲座中,李老师将讨论在三个项目中信息物联系统的应用,包括人人享有的智能和健康环境(I-HEAL)、用于紧急侦察的机器人辅助智能系统(RAISE)和用于工程的网络生态增强技术(CREATE)。对于I-HEAL,李老师团队开发了基于数字孪生的传感和集成的人类建筑病原体模型,以促进建筑物和社区的环境卫生和人类健康,从而改变关键设施的未来运营。在第二个项目中,李老师团队,RAISE系统涵盖了双向人机共享控制、基于深度学习的人机感知协同进化和情境感知人机交互,以实现人机无缝协作,在灾难期间进行受阻空间的侦察和搜救。CREATE项目为基础设施检查和施工自动化开发了以人为中心的远程操作、机器人自主和工作流的感知协调,展示了可持续建设和更广泛的劳动力参与的巨大潜力。开发的CPS共同构成了在建筑和基础设施系统的生命周期阶段下培养智能、安全和可持续的建筑环境的技术基础。

 

The critical need of people for smart, safe, and healthy built environments is never more indisputable given the elevated concerns on public health threatened by COVID variants, natural and man-made disasters such as building collapses and active shootings, as well as the crumbling infrastructure and aging workforce faced by this nation. AI-enabled and human-centric cyber-physical systems (CPS) hold great potential to address such critical needs. In this seminar, we will discuss the CPS developments that are exploited in Intelligent and Healthy Environments for All Lives (I-HEAL), Robot-Assisted Intelligent Systems for Emergency Reconnaissance (RAISE), and CybeR-Eco Augmenting Techniques for Engineering (CREATE). For I-HEAL, digital twin-based sensing and integrated human-building-pathogen modeling are developed to promote environmental hygiene and human health in buildings and communities, transforming the future operations of critical facilities. For RAISE, bidirectional human-robot shared control, deep-learning-based human-robot perception coevolution, and context-aware human-robot interface are developed to enable seamless human-robot collaborations for obstructed spaces reconnaissance and search and rescue during disasters. For CREATE, human-centric teleoperation, robot autonomy, and workflow-aware coordination are developed for infrastructure inspection and construction automation, demonstrating the significant potential for sustainable construction and broader workforce participation. The developed CPS collectively form technical foundations to cultivate smart, safe, and sustainable built environments across the life-cycle stages of buildings and infrastructure systems.

 

返回原图
/