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ADL91《智能无线感知》开始报名

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2018-06-27

中国计算机学会《学科前沿讲习班》

The CCF Advanced Disciplines Lectures

智能无线感知
     7月21~22日 北京

ADL91报名二维码

扫描(或长按)二维码报名

智能无线感知是近年来新兴起的一个前沿研究热点,主要通过普适的无线信号如WiFiRFID、雷达、声波等对人和环境进行非接触式感知,在健康监护、新型人机交互、行为识别等领域有着广泛应用,因而受到学术界和产业界的广泛关注与重视。本期CCF学科前沿讲习班《智能无线感知》邀请到本研究领域专家学者做专题讲座,将从无线感知理论建模、感知机理、感知方法、核心技术、性能评价等方面进行深入浅出的介绍,并将就智能无线感知的前沿发展进行研讨,使参加者在掌握智能无线感知
理论基础、关键技术的同时,了解最新发展趋势。
时间:2018721-22
地点:中国科学院计算技术研究所(北京市海淀区中关村科学院南路6号,融科资讯C座旁边)
主办:中国计算机学会
承办:中国计算机学会普适计算专业委员会
学术主任:
张大庆   北京大学讲座教授,国家千人计划学者
於志文   西北工业大学教授,国家杰青、万人计划领军人才
日程安排:     

721

时间

内容

主持人

8:30-8:45

开班仪式

张大庆

8:45-9:00

合影

9:00-12:00

云浩,清华大学长江学者特聘教授、国家杰青、ACM/IEEE Fellow、美国密西根州立大学计算机系主任

讲座题目:待定

12:00-14:00

午餐


14:00-16:00

长志,美国德克萨斯理工大学副教授

讲座题目:Portable Continuous-Wave Radar for Non-contact Sensing and Localization

於志文

16:00-18:00

杰,麻省大学阿默斯特分校助理教授

讲座题目:Wireless in the Era of IoT: From Indoor Localization to Ubiquitous Sensing


7
22

时间

内容

主持人

8:30-10:30

李默,新加坡南洋理工大学副教授

讲座题目:Sensing with WiFi – the theory, practice, challenges, and limits

张大庆

10:30-12:30

於志文,西北工业大学教授、国家杰青、国家万人计划领军人才

讲座题目:智能环境中非接触式行为感知研究

12:30-14:00

午餐


14:00-16:00

张大庆,北京大学讲座教授、千人计划学者

讲座题目:迈向毫米级的Wi-Fi无接触感知: 从模式到模型

於志文

16:00-17:30

Panel讨论:陈晓江、韩劲松、王炜、伍楷舜、杨铮,以及以上讲者

结业式


特邀讲者和讲座介绍:
●刘云浩 

刘云浩
刘云浩,清华大学长江学者特聘教授、国家杰出青年,ACM FellowIEEE FellowACM Transactions on Sensor Networks 主编 (Editor-in-Chief)1995年在清华大学自动化系获得工学学士学位,1997年在北京外国语大学高级翻译学院获得文学硕士学位,2004年在美国密西根州立大学计算机系获工学硕士和博士学位。2004-2011年任香港科技大学助理教授、副教授,2011-2013年任清华大学信息学院教授,2013-2017年任清华大学软件学院院长,2018年起任美国密西根州立大学计算机系主任并清华大学永辉智能供应链管理研究院院长。刘云浩围绕物联网与工业4.0、普适计算等领域开展科研工作,2010年获得教育部自然科学一等奖,2011年获得国家自然科学二等奖(均为第一完成人),2012年当选千人计划联谊会青年委员会主任,2013年获得ACM主席奖,2014年获MobiCom最佳论文奖,2016年获得中国计算机学会物联网青年成就奖,2017年获得清华大学iTsinghua学堂突出贡献奖。
讲座题目:待定
●李长志

李长志

Changzhi Li received the B.S. degree in electrical engineering from Zhejiang University, China, in 2004, and the Ph.D. degree in electrical engineering from the University of Florida, Gainesville, FL, in 2009. In the summers of 2007–2009, he was first with Alereon inc. Ausitn, TX, USA and then Coherent Logix inc. Austin, TX, USA, where he was involved with ultrawideband (UWB) transceivers and software-defined radio, respectively. He joined Texas Tech University as an Assistant Professor in 2009, and became an Associate Professor in 2014. His research interests include biomedical applications of microwave technology, wireless sensors, and RF/analog circuits. Dr. Li is an Associate Editor for the IEEE Transactions on Circuits and Systems I and an Associate Editor for the IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology. He was an Associate Editor for the IEEE Transactions on Circuits and Systems II in 2014 and 2015, and served as the TPC co-chair for the IEEE Wireless and Microwave Technology Conference (WAMICON) in 2012 and 2013. He received the IEEE Sensors Council Early Career Technical Achievement Award, the Texas Tech Chancellor’s Council Distinguished Research Award, the ASEE Frederick Emmons Terman Award, the IEEE-HKN Outstanding Young Professional Award, and the NSF Faculty Early CAREER Award. Dr. Li has published 200 papers, 5 book chapters, 2 books, and holds 6 US patents. He received nine best conference/student paper awards as author/advisor in IEEE-sponsored conferences.
讲座题目:Portable Continuous-Wave Radar for Non-contact Sensing and Localization
要:Wireless sensors with embedded control and communication links have the potential to improve the quality of service in healthcare, infrastructure maintenance, and energy conservation. This presentation provides an overview of our research activities on smart radio frequency (RF) sensors aided with advanced technologies such as beamforming, inverse synthetic aperture radar (ISAR), and flexible electronics. The scope of applications extends to sleep study, fall detection, indoor localization, and civil engineering. Specifically, our recent efforts on smart house, cancer treatment, and structure monitoring will be discussed. In a smart house, the sensors ensure human well-being and energy efficiency by tracking users’ vital signs, location, gait, gestures, and activities. In cancer radiotherapy, we investigate accurate non-contact tumor tracking, which provides a method to dynamically target a tumor with a radiation beam even when the tumor moves due to the respiratory movement of a patient. In structural health monitoring, our RF sensors advance infrastructure maintenance by remotely monitoring structural vibrations and movements, as aging infrastructure remains a national concern with widespread impacts on the quality of our daily lives.
●熊杰

熊杰

Jie Xiong is an Assistant Professor in College of information and Computer Sciences at UMass Amherst. He received his Ph.D from University College London in 2015. He was awarded the prestigious Google European Doctoral Fellowship in Wireless Networking for his doctoral studies. His Ph.D thesis won the 2016 British Computer Society Distinguished Dissertation Award runner-up. He has broad research interests in building practical wireless and mobile systems that bridge the gaps between theory and reality. His recent work appeared at MobiCom, CoNEXT, UbiComp, NSDI, INFOCOM and won the CoNEXT '14 Best Paper Award.
讲座题目:Wireless in the Era of IoT: From Indoor Localization to Ubiquitous Sensing  
摘要:Wireless is ubiquitous and playing increasingly important roles in our everyday lives. While wireless data communication has achieved a great success, a lot of new applications were proposed in the last few years hosted on Wi-Fi and RFID infrastructures including indoor localization, gesture recognition, respiration sensing and even material identification. Four systems will be introduced in this talk. The first, ArrayTrack (NSDI '13), is an indoor localization system hosted on Wi-Fi infrastructure to achieve an accuracy below 50 cm. ToneTrack (MobiCom '15) is another Wi-Fi based system which breaks the bandwidth limit for time-based localization. TagScan (MobiCom '17) is a material sensing system, which is able to differentiate very similar liquids such as Pepsi and Coke with just commodity RFID device. The latest TagMI system further extends the material sensing range by exploiting the impedance change when the RFID tag is attached to the target.
●李默

李默
Dr. Mo Li is an Associate Professor from Nanyang Technological University. Dr. Mo Li has been internationally recognized for his research in wireless sensing and networking, IoT for smart cities and urban informatics. Over the past few years, Dr. Li has developed numerous methods, techniques, and systems that resulted in over 100 papers published in top journals and premier conferences which received over 5000 citations. Dr. Li has been invited to give talks on his research in reputed universities and research institutes including Princeton, Rice, Oxford, ETH Zurich, U. of Goettingen, Yale, Purdue, Tsinghua, Microsoft Research, A*STAR, CAS, etc. Dr. Li has been on the editorial board of IEEE/ACM Transactions on Networking, IEEE Transactions on Mobile Computing, ACM Transactions on Internet of Things, and IEEE Transactions on Wireless Communications, all leading journals in the field. Dr. Li served the technical program committee member for the top conferences in computer system and networking, including ACM MobiCom, ACM MobiSys, IEEE INFOCOM, and many others. Dr. Li was recently elected Asia Pacific Best Young Researcher by IEEE Communication Society, the second largest society in IEEE, for his contributions to building networked and distributed sensing systems. He received Nanyang Research Award (Young Investigator) in 2016, a prestigious recognition to his research excellence by NTU.
讲座题目:Sensing with WiFi – the theory, practice, challenges, and limits
摘要:This lecture will introduce the fundamentals of using wireless signals for sensing and profiling the environment dynamics from signal processing’s point of view. The lecture will review and discuss the state-of-the-art research results that have advanced the field of study. The lecture will discuss the challenges and limits when applying commodity WiFi devices for various environments and application purposes. Dr. Li will also introduce recent efforts in building generic platforms and tools for WiFi sensing including the most recent CSI collection, antenna array tools from his group.
●张大庆

张大庆
张大庆,北京大学讲座教授,博士生导师,国家千人计划入选者,CCF普适计算专委会副主任。1996年获得意大利罗马大学博士学位。曾任法国巴黎国立电信学院、法国科学院一级终身教授, 新加坡资讯通讯研究院智能家庭实验室创建主任, 情景感知系统部创建主任。主要研究方向包括大数据分析、情景感知计算、移动计算等。在相关国际期刊、会议发表学术论文 200余篇,国际国内专利10余项。所创的情景感知模型被国际普适计算、移动计算和服务计算学术界广泛采用,并被普适计算领域顶级会议 IEEE PerCom 2013 授予十年最具影响力论文奖。近年来在群智感知和无接触感知等新兴研究方向工作,先后获得CCF推荐的全部4个普适计算国际会议的最佳论文或提名奖,包括CCF A类会议ACM UbiComp 20152016 的最佳论文提名奖。张大庆教授是IEEE Pervasive ComputingIEEE Trans. on Big Data, ACM IMWUTACM Trans. on Intelligent Systems and Technology 等国际期刊的编委, 担任过10多个国际会议的大会或程序委员会主席,应邀在20多个国际会议做大会特邀报告。
讲座题目:迈向毫米级的Wi-Fi无接触感知: 从模式到模型
摘要:利用无处不在的Wi-Fi无线信号进行非侵扰、无接触人体行为感知是近年来一个新兴而活跃的研究方向。与传统的主要基于模式和机器学习的无接触人体行为识别方法不同,我们将原用于光学和通讯领域的菲涅尔区模型(Fresnel Zone Model)引入到室内无线非接触人体感知领域,在国际上首次揭示了无线信号在空间中感知人体、物体活动的机理及感知极限, 奠定了Wi-Fi信号实现毫米级人体行为状态感知的理论基础。通过呼吸检测这一典型应用,我们首先利用菲涅尔反射模型揭示了Wi-Fi信号可感知毫米级人体呼吸的机理和微小活动可否检测的原理;又利用菲涅耳区衍射模型解决了第一菲涅尔区内定量刻画无线信号与人体活动间关系这一难题。基于菲涅耳区衍射原理,我们首次解释了不同人体厚度在呼吸检测时效果存在差异的原因,给出了人体在卧姿和坐姿进行呼吸检测时不同的最佳检测位置,以及如何有效检测呼吸的指导原则。基于菲涅尔区模型的无线感知理论不仅可用于指导对微小人体活动的检测,也可应用于对大尺度人体活动,如行走位置、方向和行为的识别。在可解释性以及无需事先训练和学习便可准确识别人的行为方面,基于菲涅尔区模型的感知方法展现了基于模式的方法不具备的优越性。
●於志文

於志文
於志文,西北工业大学教授,博士生导师,德国洪堡学者,国家杰出青年科学基金获得者,国家万人计划领军人才。现任陕西省嵌入式系统技术重点实验室副主任,普适与智能计算研究所所长。2004-2010年先后在新加坡信息通讯研究院、日本名古屋大学、京都大学、德国曼海姆大学从事科研工作。主要从事移动互联网、普适计算、人机系统、社会感知等领域的研究工作。主持国家973计划课题、国家自然科学基金等科研项目20余项。已在国际顶级学术期刊和会议上,如IEEE TMCIEEE TKDEINFOCOMUbiCompKDD等发表论文150余篇,SCI收录80余篇次。担任国际权威期刊IEEE Transactions on Human-Machine SystemsIEEE Communications MagazineACM IMWUT等编委,担任ACM UbiCompIEEE PerComIJCAI等国际会议程序委员或主席40余次。担任IEEE高级会员、ACM西安分会副主席、中国计算机学会理事、杰出会员、普适计算专业委员会副主任、学术工委委员、大数据专家委员会委员、CCF西安分部副主席等。2006年获中国计算机学会优秀博士学位论文奖,2009年入选教育部新世纪优秀人才支持计划2011年获中国计算机学会青年科学家奖,2012年获得首批国家优秀青年科学基金,2013年获霍英东高等院校青年教师奖,2014年获国家级教学成果二等奖和教育部自然科学二等奖,2015年入选科技部中青年科技创新领军人才计划。
讲座题目:智能环境中非接触式行为感知研究
摘要:基于RF信号的非接触式行为感知成为近年来普适计算和人机交互领域的研究热点之一。本讲座主要介绍我们近年来在非接触式行为感知方向的主要研究成果。基于多天线WiFi设备的呼吸感知系统,通过多天线构造了多个独立的菲涅尔区解决了以往非接触式呼吸监测系统存在盲区的问题;基于WiFi多载波波动延迟的入侵检测系统,将入侵行为映射为载波间波动延迟,从理论上避免了以往以载波幅度波动模式为研究对象的入侵检测方法可能存在的误报的缺陷;基于非接触式手势感知的空间机械臂遥操作,采用多普勒雷达非接触式感知用户操作手势,实时控制机械臂操作。

Panel嘉宾介绍:
●陈晓江

陈晓江
陈晓江,西北大学教授,博士生导师,信息学院副院长,陕西省重点科技创新团队负责人。在SIGCOMMMOBICOMCoNextINFOCOMUbicompNDSSTONTMC等知名会议和期刊发表论文50余篇。成果在陕北明长城、唐皇城墙含光门博物馆、大明宫国家遗址公园得到了实际应用,被英国《泰晤士报》、美国福布斯等评论和报道,2017年入选陕西省中青年科技创新领军人才
韩劲松

韩劲松
韩劲松,西安交通大学教授,博导。2007年在香港科技大学获博士学位。研究工作主要集中在物联网安全可信认证、智能感知和移动计算等方面。近年来已出版英文专著两部,在国际一流期刊与重要国际会议上发表40余篇高水平文章,其中CCF A类文章20余篇。担任多个国际一流会议的程序委员会委员,如INFOCOM, ICNP, ICCCN, DCOSS, ICPADS等。获得2011年香港信息及通讯科技奖最佳研究与创新奖。
王炜

王炜
王炜,南京大学计算机科学与技术系副教授。1997年和2000年于南京大学电子科学与工程系分别获得理学学士和理学硕士学位,20089月于新加坡国立大学电机与电脑工程系获得博士学位。曾在微软亚洲研究院,中兴通讯从事过多年的无线网络研究与标准化工作。主要研究方向为无线传感器网络、无线社交网络、软件无线电及软件定义网络等。
伍楷舜

伍楷舜
伍楷舜,深圳大学特聘教授,广东省无线大数据与未来网络工程中心主任,国家青年千人,教育部新世纪优秀人才,广东省珠江学者特聘教授,广东省科技创新领军人才,首届广东省杰青。曾获广东省丁颖科技奖,深圳青年科技奖,香港青年科学家奖,IEEE通信学会亚太区杰出青年学者奖,中国通信学会首届青年科技奖。研究成果获得广东省科学技术奖一等奖2次(第一完成人)以及IEEE Globecom 2012IEEE ICPADS 2012IEEE MASS 2014IEEE SECON 2018等著名国际会议的最佳论文奖。
杨铮

杨铮
杨铮,清华大学软件学院副教授,博士生导师。研究方向为物联网。入选北京市科技新星、国家“万人计划”青年拔尖人才,获得国家优秀青年科学基金资助。