中国计算机学会青年计算机科技论坛

CCF Young Computer Scientists & Engineers Forum

CCF YOCSEF上海

于2012年7月2日(星期一)13:30-18:00

在上海交通大学闵行校区电信群楼3-200举行

学术报告会，敬请光临

报告会主题

智慧城市

——数字化生活的机遇、挑战与未来

主办单位：

中国计算机学会青年计算机科技论坛上海分论坛(CCF YOCSEF上海)

上海交通大学计算机科学与工程系

赞助单位：

上海交通大学计算机科学与工程系

浪潮集团有限公司

议  程

13:30 签到

13:50 报告会开始

CCF YOCSEF上海主席 张文强 致辞

上海交通大学计算机系副系主任 陈贵海 致辞

14:00 特邀讲者：乔春明  博士，美国纽约州立大学布法罗分校教授，IEEE Fellow

演讲题目：Cyber Transportation Systems: Safety First, Infotainment Second

14:45 特邀讲者：Divy Agrawal  博士，美国加州大学圣芭芭拉分校，ACM&IEEE Fellow

演讲题目：The Promise of Big Data: Influence Maximization, Diffusion of Innovation,and Information Trends in Social Networks

15:30 茶歇合影

15:40 特邀讲者：黄沛杰  博士, 香港应用科技研究院研究员

演讲题目：Intelligent Display - Smart Digital Signage

16:20 特邀讲者：薛广涛  博士，上海交通大学副教授

演讲题目：中国智慧城市建设思路及关键技术研究进展

17:00 特邀讲者：冯冬涵  博士，上海交通大学副教授

演讲题目：崇明岛智能电网设想

执行主席：盛  斌  上海交通大学计算机科学与工程系讲师

CCF YOCSEF上海委员

执行主席：朱弘恣  上海交通大学计算机科学与工程系讲师

CCF YOCSEF上海委员

执行主席：高晓沨  上海交通大学计算机科学与工程系讲师

CCF YOCSEF上海委员

执行主席：姚  斌  上海交通大学计算机科学与工程系讲师

CCF YOCSEF上海委员

执行主席：吴  帆  上海交通大学计算机科学与工程系副教授

CCF YOCSEF上海学术委员会副主席

智慧城市——数字化生活的机遇、挑战与未来

“智慧城市”是以更智慧的方法，通过新一代信息技术改变人们交互的方式，提高实时信息处理能力及感应与响应速度，增强业务弹性和连续性，促进社会各项事业的全面和谐发展。本次论坛邀请了国内外的知名专家，通过短报告的形式，为您揭示智慧城市核心技术发展的机遇、挑战与未来。

特邀讲者 乔春明(Chunming Qiao)

Chunming Qiao directs the Lab for Advanced Network Design, Analysis, and Research (LANDER), which conducts cutting-edge research with current foci on optical networking and survivability issues in Cloud Computing, human-factors and mobility issues in wireless networks, low-cost and low-power sensors and mobile (robotic) sensor networking for cyber physical systems.

He has published about 100 and 160 papers in leading technical journals and conference proceedings, respectively, with an h-index above 50 (according to Google Scholar). He pioneered research on Optical Internet, and in particular, the optical burst switching (OBS). One of his paper on OBS alone has been cited for more than 2000 times.  In addition, his work on integrated cellular and ad hoc relaying systems (iCAR), started in 1999, is recognized as the harbinger for today's push towards the convergence between heterogeneous wireless technologies, and has been featured in BusinessWeek and Wireless Europe, as well as at the websites of New Scientists and CBC. His Research has been funded by nine NSF grants as a PI including two ITR awards, and by major IT and telecommunications companies including Alcatel Research, Fujitsu Labs, Cisco, Google, NEC labs, Nokia, Nortel Networks, Sprint Advanced Technology Lab, and Telcordia, as well as Industrial Technology Research Institute (in Taiwan).

Dr. Qiao has given a dozen of keynotes, and numerous invited talks on the above research topics. He has chaired and co-chaired a dozen of international conferences and workshops. He was an editor of IEEE Transactions On Networking and Trans on Parallel and Distributed Systems, and a guest-editor or several IEEE Journal on Selected Areas in Communications (JSAC) issues. He was the chair of the IEEE Technical Committee on High Speed Networks (HSN) and the IEEE Subcommittee on Integrated Fiber and Wireless Technologies (FiWi) which he founded. He was elected to IEEE Fellow for his contributions to optical and wireless network architectures and protocols.

报告提要：Hundreds of millions of people travel in vehicles every day.  How to improve road safety and efficiency using cyber technologies (such as connected vehicles) is a critical issue in today’s society. We are working on a cyber physical system (CPS) project that addresses some key design and evaluation challenges in advanced cyber-transportation systems.  In this talk, I will outline our plan to overcome major design and evaluation challenges related to traffic safety, and describe preliminary work on how to reduce accidents and in particular collisions by providing drivers with timely, and prioritized information about the road environment and collision warning messages. I will also touch upon our effort to provide infotainment services using integrated cellular and ad-hoc relaying (iCAR) technologies.

特邀讲者Divy Agrawal

Dr. Divyakant Agrawal is a Professor of Computer Science at the University of California at Santa Barbara. His research expertise is in the areas of database systems, distributed computing, data warehousing, and large-scale information systems. From January 2006 through December 2007, Dr. Agrawal served as VP of Data Solutions and Advertising Systems at the Internet Search Company ASK.com. Dr. Agrawal has also served as a Visiting Senior Research Scientist at the NEC Laboratories of America in Cupertino, CA from 1997 to 2009. During his professional career, Dr. Agrawal has served on numerous Program Committees of International Conferences, Symposia, and Workshops and served as an editor of the journal of Distributed and Parallel Databases (1993-2008), and the VLDB journal (2003-2008). He currently serves as the Editor-in-Chief of Distributed and Parallel Databases and on the editorial boards of the ACM Transactions on Database Systems and IEEE Transactions of Knowledge and Data Engineering. He has recently been elected to the Board of Trustees of the VLDB Endowment and elected to serve on the Executive Committee of ACM Special Interest Group SIGSPATIAL. Dr. Agrawal's research philosophy is to develop data management solutions that are theoretically sound and are relevant in practice. He has published approximately 300 research manuscripts in prestigious forums (journals, conferences, symposia, and workshops) on wide range of topics related to data management and distributed systems and has advised more than 30 Doctoral students during his academic career. Recently, Dr. Agrawal has been recognized as an Association of Computing Machinery (ACM) Distinguished Scientist and was inducted as an ACM Fellow in June’2012. He has also been inducted as a Fellow of IEEE in 2012. His current interests are in the area of scalable data management and data analysis in Cloud Computing environments, security and privacy of data in the cloud, and scalable analytics over social networks data and social media.

报告提要：With hundreds of millions of users worldwide, online social networks provide incredible opportunities for social connection, learning, political and social change, and individual entertainment and enhancement in a wide variety of forms. In light of these notable outcomes, understanding influence maximization, diffusion of innovation, and information trends over online social networks are critical research problems. Because many social interactions currently take place in online networks, we now have access to unprecedented amounts of information about social interactions. Prior to the advent of such online networks, investigations about social behavior required resource-intensive activities such as random trials, surveys, and manual data collection to gather even small data sets. Now, massive amounts of information about social networks and social interactions are recorded. This wealth of data (Big Data) can allow us to study social interactions on a scale and at a level of detail that has never before been possible. 

We present an integrated approach to conduct data-driven modeling and analysis in online social networks focusing on three key problems: (1) Querying and analysis of online social network datasets; (2) Modeling and analysis of social networks; and (3) Analysis of social media and social interactions in the contemporary media environment. The overarching goals are to generate a greater understanding of social interactions in online networks through data analysis, to develop reliable and scalable models that can predict outcomes of these social processes, and ultimately to create applications that can shape the outcome of these processes.

We start by developing and refining models of information diffusion based on real-world data sets. We next address the problem of finding influential users in this data-driven framework. It is equally important to identify techniques that can slow or prevent the spread of misinformation, and hence algorithms are explored to address this question. A third interest is the process by which a social group forms opinions about an idea or product, and we therefore describe preliminary approaches to create models that accurately capture the opinion formation (i.e., influence) process in online social networks. While questions relating to the propagation of a single news item or idea are important, these information campaigns do not exist in isolation. Therefore, our proposed approach also addresses the interplay of the many information diffusion processes that take place simultaneously in a network and the relative importance of different topics or trends over multiple spatial and temporal resolutions.

特邀讲者 黄沛杰(Jacob, Peijie Huang)

Jacob Peijie Huang leads a R&D team in Hong Kong Applied Science and Technology Institute (ASTRI) to provide technical solution and develop core technologies and products for Innovation and Technology Funding Project "Intelligent Display – Personalized Intelligent Advertising Display System", funded by Innovation and Technology Committee of Hong Kong Government. The proprietary technology of real-time audience analysis and audience adaptive advertisement scheduling on public information display has attracted wide attention from the industry in Hong Kong and Mainland, covered by key media in Hong Kong such as Mingpao Weekly, and is exhibited at Hong Kong ICT Expo, the 4th Shanghai Int’l Digital Signage &Touch Technology Show 2012 and Hong Kong Book Fair 2012. The core technology and patents is being commercialized to key industrial partners across Hong Kong and The Pearl River Delta.

Dr. Huang is an author of 3 patent applications in Europe and US, and 10+ paper publications on leading technical journals and conference proceedings. His research interests include automatic classification of gender, age, expression, watching status and trajectory of human, as well as virtual reality, photorealistic and non-photorealistic rendering. He is reviewers of ACM and IEEE international conferences and journals (SIGGRAPH ASIA, PG, CGI, VRST, TVC...). He has been invited for academic visit or professional cooperation with Goldman Sachs (Asia), IBM China Research Lab, Thomson (Technicolor) Cooperate Research Beijing.

Dr. Huang’s keynote speech in CCF-YOCSEF Beijing on the topic of “Ideal and hesitation of PHD students in China” in 2009 was quoted 1000+ times by Press and Internet media including Chinese Youth Daily, Xinhuanet, Sina, Sohu and 163.

报告提要：The key visual element in a smart city should be smart display. The advancement in display technology has made people's lives easier and exciting. Nowadays, the display devices are not only pure electronic hardware such as LCD or projectors, but also important carriers of information broadcasting and publishing, as well as platforms for audience to experience the virtual world. Therefore, in addition to the traditional hardware index such as brightness, thickness, thermal etc., the effectiveness, accuracy and attractiveness of the message being displayed and the quality of audience experiences are new targets of display solutions. In recent years, more and more attention has been paid to the intelligence and interactivity of display devices, i.e. automatic content selection for different audience demographics and natural human machine interaction interfaces that makes users immerse into the virtual worlds. Although the potential market growth is huge and the expected return will be high, intelligent and interactive display technology is still under development in a very early industrialization stage both home and abroad, due to big technical challenges. In this report, I will introduce ASTRI's proprietary technology of intelligent and interactive display, including intelligent audience analysis, interactive optical touch, adaptive dynamic control of black light units etc. With the technology, the display device can "see" and "think", in terms of providing tailored content, comfortable brightness and efficient interaction to audiences in front of the display.

特邀讲者 薛广涛

博士，副教授，上海交通大学网络计算中心副主任,973 无线传感器网络联合实验室副主任。中国计算机学会高级会员，中国计算机学会青年科技论坛上海分坛（2009-2010）主席。具体研究方向包括无线传感器网络、Ad Hoc 网络、移动计算、分布式系统等。主持国家自然科学基金项目，973,863等国家项目7项。在国际国内学术期刊和学术会议上发表论文30余篇，担任了10余个国际期刊及学术会议及期刊的审稿人。

报告提要：作为科技部863计划“智慧城市”项目主要参与人员，介绍我国智慧城市的发展规划及建设思路，以及当前科技部智慧城市项目组所关注的关键技术和研究进展。同时解读“智慧城市2期”的建设思路，讨论智慧城市中各类应用系统汇聚与联结的需求，以及突破各类城市运行、服务与管理系统汇聚互联的技术思路。

特邀讲者 冯冬涵

Dr. Donghan Feng has been with the faculty of Shanghai Jiao Tong University (SJTU) since 2008, currently hold the Associate Professor position at the Department of Electrical Engineering, School of Electronic Information and Electrical Engineering. He worked at University of Hong Kong (HKU) as a visiting scholar during 2006-2007 and worked at Tsinghua University (THU) as a graduate research assistant during 2005-2006. Donghan received his B.Sc. and Ph.D. degrees in Department of Electrical Engineering, Zhejiang University (ZJU) in 2003 and 2008, respectively. Since 2009, he has been granted the Hans Christened Ørsted Funding for collaborative research with the Centre for Electric Technology (CET), Technical University of Denmark (DTU). In 2010, he has been granted the National Natural Science Foundation of China (NSFC-51007058) for research on “Risk management for wind farm operation” for the following 3 years. He has also been involved in several key projects in Europe and China, including EcoGrid.EU and 863 national program on smart grid.

Dr. Feng published around 20 papers in top journals in the field of electric power systems, including IEEE Transactions on Power Systems and IET Generation, Transmission and Distribution. He is also the author of 2 professional books. His research interests are techno-economic modeling, analysis and design of smart energy systems. He also serves as a reviewer for a group of world renowned academic journals, including IEEE Transactions on Power Systems (ISSN: 0885-8950), Renewable & Sustainable Energy Reviews (ISSN: 1364-0321), Applied Energy (ISSN: 0306-2619), Electric Power Components and Systems (ISSN: 1532-5008), European Transactions on Electrical Power (ISSN: 1430-144X), Automation of Electric Power Systems (ISSN: 1000-1026), Power System Technology (ISSN: 1000-3673), etc. Dr. Feng also serves as a proposal evaluator for The Netherlands Organization for Scientific Research Foundation (NOW, www.nwo.nl) and Dutch Technology Foundation (STW, www.stw.nl), on the Sector of Smart Energy Systems in Division of Chemical and Physical Sciences, and proposal evaluator of the National Natural Science Foundation (of China). He also serves as the Assistant Director of (China) State Energy Smart Grid R&D Center.

报告提要：崇明岛建设智能电网综合集成示范工程，是探索解决化石能源危机和二氧化碳过度排放问题的具体实践，也是上海市对接世博科技成果，建设智慧城市，推广可持续发展模式的需要。为了推动产业结构转型，促进智能电网与新能源相关产业发展。上海市委市政府已制定《上海推进智能电网产业发展行动方案》，力争在全国范围内率先建成智能电网三大基地，即智能电网功能示范应用基地、智能电网关键技术研发基地和智能电网核心设备产业基地。崇明岛作为智能电网示范场所具有得天独厚的条件：1、崇明岛本生的生态资源和环境较好，是上海的战略储备地；2、上海市政府将崇明岛定位为“世界级生态岛”和探索低碳、可持续发展模式的试验基地；3、科技投入密集。“十一五”期间在崇明岛的科技项目超过百项，投资超过6亿元；4、岛内风能、太阳能、生物质能、潮汐能等可再生能源丰富。按照规划，崇明岛2020年的可再生能源装机总量可达3200~4200MW。

执行主席 盛  斌

博士，上海交通大学数字媒体与数据重建实验室副主任，香港应用科技研究院顾问，中国计算机学会青年计算机科技论坛（CCF YOCSEF）上海委员。从事计算机图形学，虚拟现实与人机交互等领域的研究。已在多个国际著名期刊和重要国际会议发表高质量学术论文数十篇。

执行主席 朱弘恣

博士，上海交通大学讲师，中国计算机学会会员，中国计算机学会青年科技论坛（CCF YOCSEF）会员。从事移动自组网络、车辆网络、容迟网络等领域的研究。已发表高质量学术论文20余篇，论文发表在多个国际著名期刊和重要国际会议。

执行主席 高晓沨

博士，上海交通大学讲师，中国计算机学会青年计算机科技论坛（CCF YOCSEF）上海委员，中国运筹学会智能计算分会、不确定系统分会常务理事。从事数据工程、网络优化、近似算法等领域的研究。在多个国际著名期刊和国际会议上发表高质量学术论文40篇。

执行主席 姚  斌

博士，上海交通大学讲师，2011年在美国弗罗里达州立大学获计算机科学博士学位，主要研究领域包括数据库，数据管理，云计算等。已在数据库领域国际顶级杂志和会议（如SIGMOD, ICDE, IEEE TKDE, GIS）上发表过8篇学术论文。担任IEEE TKDE、IS等多个国际和国内顶级期刊的特邀评审人。

执行主席 吴  帆

博士，上海交通大学副教授，中国计算机学会青年计算机科技论坛（CCF YOCSEF）上海副主席。从事无线网络与移动计算、网络安全、博弈论算法、对等计算等领域的研究。已发表高质量学术论文30篇，论文发表在多个国际著名期刊和重要国际会议。

参加人员：IT领域专业人士、研究生、媒体、其他有兴趣者

参会费用：CCF会员、特邀讲者及符合下列情况者免费参会。其他人员50元，学生10元（可现场缴费）

报名联系：Email：fwu@cs.sjtu.edu.cn ; Tel: (021)34206002 / 18717742490

如参会，请于7月1日前回复下附回执至 fwu@cs.sjtu.edu.cn ，以便提供会务。

免费参会方式：

1、所有会员凭会员证可以免费参加，且可以带一个非会员参加；

2、由YOCSEF AC委员、荣誉委员、委员、CCF理事推荐人员（每人可推荐2人）；

3、通过网上报名的前10名非会员可以免费参会；

4、活动承办单位前20名报名者可以免费参会；

5、现场办理入会可以免费参会。

参会回执

*报告会后将利用晚餐时间举办CCF YOCSEF上海7月份Club，故请一并表明是否参加Club。

地点：东川路800号上海交通大学闵行校区电信群楼3-200

交通：

轨道交通：乘1号线（莘庄方向）至“莘庄”，换乘5号线（闵行开发区方向），至“东川路站”出站。出站后，可乘坐江川3路，在“东川路淡水河桥站”下车，然后步行到达上海交通大学电信群楼3号楼；或直接Taxi到上海交通大学电信群楼3号楼，闵行本地出租车10元。

公交巴士：乘“江川3路”或“虹桥枢纽4路”，在“东川路淡水河桥站”下车，然后步行到达上海交通大学电信群楼3号楼。

会场方位示意图

联系人：

吴  帆    Email：fwu@cs.sjtu.edu.cn ;        电话: 34206002, 18717742490

盛  斌  Email：shengbin@cs.sjtu.edu.cn ; 电话: 34207642, 15026790946

朱弘恣  Email：hongzi@cs.sjtu.edu.cn ;    电话: 13761399072

高晓沨  Email：gao-xf@cs.sjtu.edu.cn ;    电话: 34207407, 18616769392

姚  斌  Email：yaobin@cs.sjtu.edu.cn ;    电话: 34205213, 15921379438