Keynote安排时间：25日上午--高文，姜晶 | 26日上午--刘云浩，Anind Dey

（排名不分先后）

报告题目：城市大脑与数字视网膜
特邀讲者：高文

中国工程院院士、北京大学教授，博士生导师

北京大学信息与工程科学部主任，北京大学数字媒体研究所所长、系统芯片研究所所长，第七届国家自然科学基金委员会副主任

个人简介：
        高文，男，1956年出生，中国工程院院士，北京大学博雅讲席教授、信息与工程科学部主任，国家自然科学基金委员会副主任，中国计算机学会理事长，第十届、十一届、十二届全国政协委员。1988年获哈尔滨工业大学计算机应用博士学位，1991年获日本东京大学电子学博士学位。他曾在美国卡内基梅隆大学(CMU)机器人研究所﹑美国麻省理工学院(MIT)人工智能实验室等做过访问科学家。他1992年入选进入国家863智能计算机主题专家组，担任智能计算机接口领域的责任专家，1996年至2000年任专家组组长。他1998年至1999年曾担任中科院计算所所长，2000年至2004年担任中科院研究生院常务副院长，其间2000年至2003年兼任中国科技大学副校长。高文教授曾担任国务院学科评议组计算机学科成员、计算机学报主编。先后兼任IEEE T-CSVT、IEEE T-AMD、SPIC、JVCIR、IEEE FIP等期刊的编委，国家信标委多媒体分委员会主任委员、数字音视频编解码技术标准(AVS)工作组组长。他曾担任IEEE ICME 2007（IEEE多媒体领域旗舰会议）、ACM MM 2009（ACM多媒体领域旗舰会议）大会主席， IEEE ISCAS 2013(IEEE电路与系统协会旗舰会议)大会主席等。
        他长期从事计算机视觉、模式识别与图像处理、多媒体数据压缩、多模式接口以及虚拟现实等的研究。在面向对象视频编码、可伸缩视频编码、人脸与手语模式识别、AVS视频编解码国家标准等方面做出重要贡献。主持两项国家“973计划”（任项目首席科学家）、一项国家自然科学基金创新群体项目，以及二十余项国家“863计划”、国家自然科学基金等项目。出版著作5部，在本领域重要期刊和国际会议发表论文700余篇，其中IEEE会刊论文100余篇。作为第一完成人，1次获得国家技术发明二等奖（2006）、1次获得国家自然科学二等奖（2015）、5次获得国家科技进步二等奖（2000、2002、2003、2005、2012）。2008年底他因在视频编码方面的技术贡献，当选IEEE Fellow；2010年因“音视频编解码理论、标准及应用的突出成就”被授予中国计算机学会王选奖；2013年底因“对视频技术的贡献，及对计算在中国发展的领导力”而当选ACM Fellow。

报告摘要：
        城市大脑是智能城市的中心决策系统，负责图像与视频采集的摄像机则是智能城市的眼睛。本报告将首先分析智能城市大脑面临的几个重大挑战，特别是面向数据存储而设计的摄像机对现有系统的智能化演进造成的局限性。因此，新一代可进化的城市之眼—我们称之为数字视网膜—呼之欲出。与我们人类的眼睛一样，数字视网膜不仅可以拥有面向存储和离线观看的视频编码功能，还可以面向图像识别和场景理解进行特征编码。本报告将分享我们在相关领域的最新研究成果，包括基于背景建模的监控视频编码、面向视觉搜索的视觉特征压缩、联合R-D和R-A优化、及用于数字视网膜系统的相关标准。我们相信具有数字视网膜的城市之眼应该是大规模人工视觉系统的典型应用。

报告题目：虚拟现实(VR)和增强现实(AR)技术在工业领域的应用与前景
(Industrial Applications of VR and AR technologies)
特邀讲者：姜晶

加拿大西安大略大学电气与计算机工程系终身教授

加拿大自然科学及工程研究基金会（NSERC）的仪表与控制首席科学家，加拿大工程院院士、
工程与技术协会（IET）会士（Fellow）、国际自动化协会（ISA）会士（Fellow）

个人介绍：

        Prof. Jing Jiang is a Senior Industrial Research Chair Professor, in the Department of Electrical and Computer Engineering, University of Western Ontario in Canada. His research interests are in the areas of fault-tolerant control of safety-critical systems, instrumentation and control of nuclear power plants, and control of electrical power plants and power systems. He is a fellow of Canadian Academy of Engineering, a fellow of IET (formally IEE), a fellow of ISA, and a fellow of IEEE. He is also a member of International Electrotechnical Commission (IEC) 45A subcommittee to develop industry standards on instrumentation and control for nuclear facilities. He works closely with International Atomic Energy Agency (IAEA) on development of modern control and instrumentation systems for nuclear power plants.

        姜晶教授1982年毕业于西安交通大学信息与电气工程专业（七七届）, 分别于1984年和1989年获得加拿大电气工程硕士和博士学位。现为加拿大西安大略大学 (The University of Western Ontario) 电气与计算机工程系终身教授。加拿大自然科学及工程研究基金会（NSERC）的仪表与控制首席科学家。姜教授致力于容错控制、核电、工业物联网、新能源、可再生能源以及电力系统控制理论和应用研究工作。姜晶教授2010年被评为加拿大工程院 (Canadian Academy of Engineering, CAE) 院士、加拿大工程与技术学院 (The Engineering Institute of Canada, EIC) 院士、2006年授予工程与技术协会(IET)会士、2012授予年国际自动化协会(ISA)会士、2017年选入美国电气与电子工程师协会(IEEE) 会士。姜晶教授在过去十多年中与国际原子能机构核能分部密切合作，参加了六本核电站仪表与控制系统技术规范的编写工作。他还是国际电工委员会下属核电站仪控工业标准制定分会委员，为核电站安全控制的国际标准制订做出大量杰出工作。

报告摘要：

        Virtual Reality (VR) and Augmented Reality (AR) are no longer limited to science fictions, or entertainment industries to create special visual effects. Such technologies have been seriously considered, and adopted by different industry sectors at various stages of the life cycle from product design, operation, training, maintenance, and repair services. With the advancement of wearable technologies and devices, VR and AR applications have become powerful enabling tools to proliferate human creativities. These technologies help to achieve optimal product design, more effective training, and safer operation and maintenance.

        In this talk, we will present some application examples of VR and AR in industrial sectors with focus on training and maintenance tasks. These technologies are particularly useful in situations where direct visualization is difficult or dangerous. With rapid advance of wearable technologies, some of the current research activities and potential industrial applications of VR and AR technologies will also be discussed.

报告题目：Internet of Everything for New Industrial Revolution
特邀讲者：刘云浩

清华大学长江学者特聘教授、博士生导师

清华大学软件学院院长、清华大学信息学院副院长

个人简介：
        Yunhao Liu, ACM Fellow and IEEE Fellow, Chang Jiang Chair Professor. Yunhao received his BS degree in Automation Department from Tsinghua University in 1995, and an MS and a Ph.D. degree in Computer Science and Engineering at Michigan State University in 2003 and 2004, respectively. Yunhao is an ACM Distinguished Speaker. He is the recipient of the ACM Presidential Award (2013) and the NSF China Distinguished Young Scholar Award (2011). He was the Associate Editors-in-Chief for IEEE Transactions on Parallel and Distributed Systems from 2011 through 2014, and he is now Associate Editor for IEEE/ACM Transactions on Networking and ACM Transactions on Sensor Network. Yunhao has authored/co-authored three books and more than 180 research papers. He received 4 Best Paper Awards in international leading conferences and has over 15,000 citations (h-index of 56).
报告摘要：
        In this talk, I will introduce several of our ongoing Internet of Things (IoT) projects such as the GreenOrbs and CitySee. In these projects, we have deployed over 1000 sensor nodes, with totally more than 10,000 sensors, for monitoring water, CO2, NO2, automobiles, and human activities. I will also present TagSys, a passive RFID based luggage tracking system, which has resulted the ACM MobiCom 2014 Best Paper Award and has been deployed in Beijing International Airport with more 110,000 tags. I will focus on a few key ideas such as passive diagnosis, sensorless sensing, and communication as a sensing, the opportunities and challenges in extremely large scale IoT systems, and the impact of IoT to the new industrial revolution.

报告题目：Routines and Behaviors: How everyday activities can intelligently inform the design of mobile systems
特邀讲者：Anind Dey

卡内基梅隆大学教授

美国卡内基梅隆大学人机交互研究所所长，普适计算实验室主任

个人简介：
        Anind K. Dey is the Charles M. Geschke Professor, and Director of the Human-Computer Interaction Institute at Carnegie Mellon University. He is the Principal Investigator for the Google-funded open Internet of Things project at CMU. He leads the Ubicomp Lab, which performs research at the intersection of ubiquitous computing, human-computer interaction and machine learning, in the areas of the Internet of Things, mobile computing, health and sustainability among others. He has authored over 100 papers on these topics, serves on the editorial board of several journals, and is a member of the prestigious CHI Academy. Anind received his PhD in computer science from Georgia Tech, along with a Masters of Science in both Computer Science and Aerospace Engineering. He received his Bachelors of Applied Science in Computer Engineering from Simon Fraser University

报告摘要：
        Over the past 20 years, there has been a huge change in the mobile technologies we use and the applications we have available to us. We have gone from a world where location-based technologies only existed in a handful of labs, to one where it is commonplace used by millions, if not billions of people every day. However, surprisingly, we haven't progressed much past location-based systems in terms of true innovation, for building intelligent, adaptive and compelling mobile systems. In this talk, I will review the last few decades of mobile and context-based systems, and point out opportunities for building more compelling instances. In particular, I will highlight the value of studying individual routines and behaviors as a mechanism for creating valuable adaptive mobile systems. This will include work in algorithms, modeling, and application development, in a variety of domains from automotive to health to education.