主题报告

大会特邀嘉宾

倪明选  澳门大学 学术副校长和讲座教授

主题演讲:物联天下 传感先行:2007-2016

摘要:

2006年我有幸领导一个朝气逢勃的团队承担国家973计划,开始致力于无线传感网络的基础理论及关键技术研究。2007年以我们团队为主的成员们成立了中国计算机学会无线传感网专委会,积极推动国家在无线传感网方面的深入研究。在研究中后期,团队成员们陆续进入物联网与大数据方面的研究,其中多位成员,尤其是年轻成员们,已成为此新兴领域的领军人物。在成立10周年之际,无线传感网专委顺应时代潮流更名为物联网专委会,加快推进物联网发展再上新台阶。此次演讲我将简要介绍这过去10年的研究历程并对未来发展作展望。

报告人简介:

倪明选是澳门大学计算机与信息科学系讲座教授并担任学术副校长。在2015年1月加入澳大之前,倪教授在香港科技大学任教12年,在密歇根州立大学任教21年。曾任美国国家基金委项目主任,美国CC&T技术公司创办人,国家973计划项目首席科学家。1980年获美国普渡大学电机工程博士学位,1994年被评为IEEE Fellow,2008年被评为香港工程科学院院士。指导毕业64个博士生,共发表论文600多篇,被同行高度引用超过24,900次以上,H-index是70,中英文专著3部,并拥有20多项美国与中国授权的专利。2009年中国计算机学会授予海外杰出贡献奖,2010年荣获教育部自然科学一等奖,2011年荣获国务院国家自然科学二等奖,2014年荣获广东省自然科学一等奖等。

刘云浩 清华大学  教授

主题演讲:从互联到新工业革命

摘要:

人类正在进入万物互联的时代。物联网、大数据、云计算、智能产品……充斥着我们的生活。尤其是网络计算在工业革命中的角色再次引爆了智能化技术这个热点。物联网与工业4.0究竟是什么?它们从哪些方面改变我们的工作和生活?我们又该如何利用这些改变重塑现实?想象空间到底有多大?

工业互联网的浪潮,汹涌来袭,这一场结合了工业化和物联化的变革,绝不仅仅是信息技术领域的革命,更是在全球范围加速企业创新、引领社会变革的利器。万物相联,万物生。这个创新所引发的,也不只是一场新的工业革命,而是为人类的生活创造前所未有的可量化的维度:创新将不局限为有意识的努力,而是将成为新时代赋予人类社会的本能。

报告人简介:

刘云浩,清华大学长江学者特聘教授、杰青,清华大学软件学院院长。ACM Fellow,IEEE Fellow,ACM中国理事会主席。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。担任IEEE Transactions on Parallel and Distributed Systems 副主编,IEEE/ACM Transactions on Networking和ACM Transactions on Sensor Network编委。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,2013年获得ACM主席奖,2014年获得MobiCom大会最佳论文奖。

赵峰 海尔集团 首席技术官和副总裁

主题演讲:U+:在物联和数据时代的智慧生活创新引领

摘要

在传统制造业的互联网转型中,物联网和大数据扮演着核心的角色:  降低成本,提高效率,增强用户体验,更重要的是彻底改变了企业与用户的关系,实现从销售硬件到提供服务的转型。U+是海尔智慧生活的技术和业务平台,为B端和C端用户提供全方位的智能家庭解决方案,从物联,交互,到生态。

报告人简介

Dr. Feng Zhao is Chief Technology Officer and Vice President at Haier, a world leader in consumer appliances and smart devices. He is responsible for Haier’s advanced R&D and smart home products and platform. Dr. Zhao was an Assistant Managing Director at Microsoft Research Asia during 2009-2015, responsible for hardware, mobile and sensing, software analytics, systems, and networking research areas. He and his team developed mobile and cloud solutions that advanced the state-of-the-art in computing and significantly impacted Microsoft product groups: accurate indoor navigation system, efficient Internet search index serving platform, interactive visual analytics for big data, software defined radio and data center networking technologies. Prior to joining MSR-Asia, Dr. Zhao was a Principal Researcher at Microsoft Research Redmond (2004-2009), and founded the Networked Embedded Computing Area. During this time, he led the team to develop the MSR sensor mote, Tiny Web Service, SenseWeb and SensorMap, Data Center Genome, JouleMeter, and GAMPS data compression. Dr. Zhao received his PhD in Computer Science from MIT, and taught at Stanford University and Ohio State University. He was a Principal Scientist at Xerox PARC and founded PARC’s research effort in sensor networks. He served as the founding Editor-In-Chief of ACM Transactions on Sensor Networks. Dr. Zhao is an IEEE Fellow, and received a Sloan Research Fellowship and NSF and ONR Young Investigator Awards. He has authored or co-authored over 100 technical papers and books and has over 30 US patents issued.

张锦星  四川长虹电器股份有限公司  总经理助理

主题演讲:工业4.0及长虹的思考

摘要:

“工业4.0”描绘了制造业的未来愿景,提出继蒸汽机的应用、规模化生产和电子信息技术等第三次工业革命后,人类将迎来以信息物理系统(CPS)为基础,打通所有生产环节的数据壁垒,无线网掌控一切。旨在提升制造业的智能化水平,建立具有适应性、资源效率及人因工程学的智慧工厂,在商业流程及价值流程中整合客户及商业伙伴。其技术基础是网络实体系统及物联网。“工业4.0”是提倡以生产高数字化,网络化,机器自组织为标志的第四次工业革命。

报告人简介:

张锦星是四川长虹电器股份有限公司的总经理助理。

曹建农 香港理工大学 电子计算机学系主任

主题演讲:Distributed Coordination of Multi-Robots System

摘要

As technology advances, distributed intelligent MEMS (DiMEMS) have appeared as a new form of distributed embedded system. DiMEMS contain a large collection of autonomous devices, which will collaborate with each other to achieve the final target of the whole system. Examples of DiMEMS include smart sensor networks and multi-robot systems. How to design models and distributed algorithms for collaborations among the resource-limited devices remains to be a challenging task. This task is difficult because these algorithms do not have global information and may not only be computationally intensive, but also involve data-level collaboration.In this talk, I will describe a framework for real-time programming and distributed implementation of coordination in multi-robots systems and discuss the issues and techniques of designing distributed collaborative algorithms.

报告人简介

Dr. Cao is currently a chair professor and head of the Department of Computing at Hong Kong Polytechnic University, Hung Hom, Hong Kong. His research interests include parallel and distributed computing, wireless networks and mobile computing, big data and cloud computing, pervasive computing, and fault tolerant computing. He has co-authored 5 books, co-edited 9 books, and published over 500 papers in major international journals and conference proceedings. He is a fellow of IEEE, a senior member of China Computer Federation, and a member of ACM. He was the Chair of the Technical Committee on Distributed Computing of IEEE Computer Society from 2012-2014. Dr. Cao has served as an associate editor and a member of the editorial boards of many international journals, including ACM Transactions on Sensor Networks, IEEE Transactions on Cloud Computing, IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, IEEE Networks, Pervasive and Mobile Computing Journal, and Peer-to-Peer Networking and Applications. He has also served as a chair and member of organizing/program committees for many international conferences, including PERCOM, INFOCOM, ICDCS, IPDPS, ICPP, RTSS, DSN, ICNP, SRDS, MASS, PRDC, ICC, GLOBECOM, and WCNC. Dr. Cao received the BSc degree in computer science from Nanjing University, Nanjing, China, and the MSc and the PhD degrees in computer science from Washington State University, Pullman, WA, USA.

邢国良 密歇根州立大学 副教授

主题演讲:面向可持续发展的物联网:移动健康、绿色数据中心、及水资源监控系统

摘要

The sustainable development of our society today faces several major challenges, including expensive health care, skyrocketing energy consumption, water pollution, and natural disasters. In this talk, I will discuss our recent work on Internet of Things (IoT) systems that aim to address some of the above challenges, which include mobile health systems, green data centers, real-time earthquake detection and volcano imaging, and aquatic ecosystems monitoring.

The prominence of mobile technologies holds the promise of fundamentally transforming today’s reactive healthcare practice to in-place, proactive care. I will describe two novel mobile systems for in-place monitoring of human biological rhythms, including sleep quality and running rhythm. Our approach integrates novel sensing algorithms and psychological/physiological models to achieve high-fidelity monitoring performance on off-the-shelf mobile devices.

Data centers are a critical infrastructure in the era of cloud computing. I will describe a novel cyber-physical approach for energy/thermal management in green data centers, which integrates computational modeling, in situ wireless sensing, and real-time prediction and control.

Earthquakes and volcanic eruptions have become major natural hazards due to ever growing human population and urbanization. We have developed seismic sensor networks for real-time earthquake detection and volcano tomography. I will discuss our work on novel seismic sensing algorithms and system deployments on active volcanoes in Ecuador and Chile.

Aquatic environment is facing increasing threats from climate change, industrial pollution, and improper waste disposal. I will discuss our recent work on debris detection and harmful aquatic process monitoring using a new smartphone-based robot system.

报告人简介

Guoliang Xing is currently an Associate Professor of Computer Science and Engineering at Michigan State University. His research interests include mobile health, Cyber-Physical Systems for sustainability, and wireless networking. He received the B.S. and M.S degrees from Xi’an Jiao Tong University, China, in 1998 and 2001, the D.Sc. degree from Washington University in St. Louis, in 2006. He is an NSF CAREER Award recipient in 2010. He received two Best Paper Awards and five Best Paper Nominations at ICNP, IPSN, PerCom, and SECON conferences. His group has developed several mobile health systems, which won three Best App Awards at MobiCom. Several mobile technologies developed in his lab have been successfully transferred to the industry. He received the Withrow Distinguished Faculty Award from Michigan State University in 2014. He serves as the General Chair for IPSN 2016 and TPC Co-Chair for IPSN 2017.

大会青年优博简介

程思瑶 哈尔滨工业大学计算机科学与技术学院 博士

主题演讲:感知大数据的获取与计算

主题摘要:

随着物联网和无线传感器网络的广泛应用,感知数据的规模呈爆炸式的增长。例如,欧洲的大型强子对撞机系统布置了1.5亿个传感器, 每天产生500EB的感知数据,国际权威咨询公司Gartner在2015年度报告中预测:2020年全球物联网设备总数将突破260亿台,所产生的感知数据亦将十分庞大。国际著名期刊SCIENCE发表的论文指出:世界范围内的感知数据增长率为每年58%,而全世界的数据存储能力的增长率为每年40%,2007全世界产生的感知数据已经超过全世界存储容量2011年全世界产生的感知数据已经超过全世界拥有的存储器总容量的二倍。可以说,感知数据已经成为一类重要的大数据,我们将其为感知大数据。与以往简单感知数据不同,感知大数据呈现一系列新特点,诸如:规模庞大、模态多样、变化频繁、冗余显著、质量不高等等。这些新特点为感知大数据的获取与计算带来前所未有的挑战。本报告从感知大数据的新特点出发,介绍我们在感知大数据高质量获取、高能效传输、高精度计算方面的一些研究成果,探讨未来感知大数据的一些研究问题,为推进感知大数据的深入研究起到一些抛砖引玉的作用。

个人简介:

程思瑶博士就职于哈尔滨工业大学计算机科学与技术学院,现为副教授、硕士生导师。在读博期间及任职以来,程博士对感知大数据近似计算技术进行了深入研究,提出了包括感知大数据的主数据提取技术、物理世界的O(ε)近似、感知大数据(ε,δ)-随机近似计算方法等多项具有一定国际影响力的创新性研究成果。目前,程思瑶发表和录用学术论文33篇,其中在计算机网络一流国际期刊和会议IEEE TPDS、INFOCOM、ICDCS、IPSN 等之上的论文有13篇,Google Scholar引用次数320余次,h-Index为10,其获得了2013年度中国计算机学会(CCF)优秀博士论文奖,于2014年入选微软亚洲研究院青年教师铸星计划,于2015年获得了ACM哈尔滨分会学术新星奖,2016年受邀成为ACM SIGCOMM China Chapter委员。程思瑶博士主持包括国家自然科学基金面上项目等多个科研项目,是973 计划项目、国家自然科学基金重大项目、重点项目的主要成员,是多个重要国际会议于期刊的程序委员会成员及审稿人。

刘亮 北京邮电大学 博士

主题演讲:When Urban Air Monitoring Meets Crowdsensing Images

主题摘要

本报告将介绍一种细粒度空气质量监测方法,即利用群智感知收集的室外图像进行PM2.5估计。我们利用照片能见度与空气中尘霾之间的相关性,采用机器学习的方法建立PM2.5分类模型。具体来说,我们采用群智感知的方式,让手机用户在空气质量站点附近收集了50000多张照片作为训练集。对于每张照片,在非天空部分提取dark channel特征;在天空部分提取HSV和LBP特征。然后,使用卷积神经网络(CNN)算法进行模型训练。基于此模型,我们开发了一款手机APP,通过图像数据与天气等数据的结合,实现城市空气质量的细粒度监测。

个人简介:

刘亮,北京邮电大学计算机学院岗位教授、博士生导师。2009年在北京邮电大学获博士学位,曾在美国TAMU进行访问研究。研究方向为物联网、多媒体传感器网络。主持和参与多项国家自然科学基金、国家973/863项目和企业研发项目。在IEEE Trans./Journal、INFOCOM、ICC、Globecom等刊物和会议上发表论文80多篇。担任期刊Frontiers of Computer Science编委、International Journal of Distributed Sensor Networks客座编辑;INFOCOM、ICC、Globecom等著名学术会议程序委员;10多个重要国际学术刊物的评阅人。曾获中国计算机学会优秀博士学位论文奖、ACM Beijing Rising Star Award,入选北京市“青年英才计划”与微软“青年教师铸星计划”。