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YOCSEF论坛预告：从硅谷看IT技术未来发展趋势
中国计算机学会青年计算机科技论坛
CCF Young Computer Scientists & Engineers Forum
CCF YOCSEF
April 4th, 2015 (Saturday) 09:00AM-3:30PM
Hotel SOFITEL San Francisco Bay, RedWood City，USA
论坛主题
从硅谷看IT技术未来发展趋势
Silicon Valley's Vision on IT technology trend
Tentative Program
9:00 报告会开始
9:00 – 9: 15
Welcome Remark Jun-Ming Wang, Technology Counselor , Consulate General of China in San Francisco
王俊明参赞,中华人民共和国驻旧金山总领事馆
9:15 – 9:30
Opening Remark 杜子德, 中国计算机学会 （CCF） 秘书长
9:30 – 10:20
特邀讲者：Prof Kai Hwang University of Southern California
演讲题目：SMACT Technologies for Innovative Social, Mobile, Analytics, Cloud, and IoT Applications
10:20 – 10:30
Coffee break
10:30 – 11:10
特邀讲者：Dr Howard Ho， IBM Almaden Research Center
演讲题目： Big Data Analytics Research at IBM Almaden
11:10 – 11:40
特邀讲者：Dr. Ping Zhang，MedeAnalytics
演讲题目：Winning Strategies for big data analytics in healthcare and beyond
11：40 – 12：20
特邀讲者：Dr. Zong Ling，IBM Almaden Research Center
演讲题目：大数据在制造业的应用
12:20 – 1:30
Lunch break
1:30 -3：30
互动讨论: 大数据时代硅谷的创新机遇
参加人员：IT领域专业人士、研究生、媒体、其他有兴趣者
报名方式：Email：yocsef@ccf.org.cn;Tel: (010)6256 2503转14;Fax: 6252 7485
如参会，请于3月5日前回复下附回执至yocsef@ccf.org.cn。
从硅谷看IT技术未来发展趋势
本次论坛是YOCSEF首次在海外举办的学术交流活动，旨在邀请来自硅谷和国内的著名学者和专家，就当前IT技术，特别是大数据、移动互联网、智能交互等热点领域的最新动向和未来的发展趋势，分享各自的观点和视角，从不同层次和角度展开对话和讨论，希望能够带给大家新鲜的思想碰撞和启发。
This is the first international workshop of CCF YOCEF (China Computer Federation: http://www.ccf.org.cn/yocsef). It aims to facilitate international collaboration and exchange between Chinese computer scientists and US scientists. This seminar brings together prestigious researchers from both Silicon Valley and CCF to share their insights into the new IT technologies including big data, mobile cloud and wearable computing and discuss the future trend of the technologies.
特邀讲者 Kai Hwang
Kai Hwang is a Professor of EE/CS at the University of Southern California. He is also a Visiting IVendowedChair Prorfessor at Tsinghua University. He received the Ph.D. from University of California,Berkeley in 1972. He has published 8 books and over 220 scientific papers in computer architecture,parallel processing, distributed systems, cloud computing and network security. His works have been cited more than 11,200 times with an h-index of 45. His latest book: Distributed and Cloud Computing was published in 2011.Dr. Hwang was recognized with an IEEE Fellow in 1986, received the 2004 CFC Outstanding Achievement Award, the IPDPS-2011 Founder’s Award, and the Lifetime Achievement Award from the IEEE CloudCom 2012 for his pioneering work in parallel computing and distributed systems. He has served as the founding Editor-in-Chief of the Journal of Parallel and Distributed Computing for 28 years. He has delivered three dozens of keynote addresses on advanced computing systems and cutting-edge information technologies in major IEEE/ACM Conferences. Hwang has performed advisory, consulting and collaborative work for IBM, Intel, MIT Lincoln Lab, JPL at Caltech, ETL in Japan, Academia Sinica in China, GMD in Germany, and INRIA in France.
报告提要：Big Data with Cloud Computing
特邀讲者 Howard Ho
Howard (Ching-Tien) Ho is a Research Staff Member at the IBM Almaden Research Center and manager of Intelligent Information Integration Group. He has been manager of Search and Analytics Group including SystemT text analytics and Gumshoe enterprise search projects, and manager of Intelligent Information Integration (a.k.a. Clio) Group for over 10 years. His current research interests include database, information integration, information extraction and sentiment analytics, especially over Hadoop infrastructure. Past research has included schema mapping, XML, data mining, on-line analytical processing (OLAP), communication issues for interconnection networks, algorithms for collective communications, graph embedding, fault tolerance, and parallel algorithms and architectures. He is a recognized expert on parallel systems having led the Foundations of Massively Parallel Computing group, served on Message Passing Interface (MPI) standard committee, served as the Editor-in-Chief of Journal of Interconnection Networks and on the editorial board of the IEEE Transactions on Parallel and Distributed Systems, served as the program co-chairs for the ISPAN-2009 and as the vice-chair for 2 parallel processing conferences, and co-edited Large-Scale Parallel Data Mining. He is serving as a program co-chair of 2015 IEEE Big Data Conference to be held in late October at Bay Area. Dr. Ho has received multiple formal awards from IBM and has published over 20 patents, over 30 journal papers, and over 60 conference papers in these areas. He received a B.S. degree in electrical engineering from National Taiwan University, Taiwan in 1979 and a Ph.D. degree in computer science from Yale University in 1990.
报告提要：Big Data Analytics Research at IBM Almaden
In this talk, we will give an overview of big data analytics projects at IBM Almaden Research. Then, we will focus on the text analytics research at IBM Almaden. In particular, we will describe AQL, a declarative information extraction language, and SystemT, the AQL runtime engine with a cost-based optimizer. We will describe a few use cases how text analytics was used in different customer engagements, e.g., for social media data and for customer survey data. Finally, we will describe our recent effort in leveraging a deep parser used in IBM Watson system (that won "Jeopardy!" in 2011) for text analytics such as sentiment analysis.
特邀讲者 Ping Zhang
Ping Zhang has over 20 years of technology, product innovation, client delivery experience. He has provided engineering leadership for a wide variety of organizations, ranging from startups to some of the world’s best-known technology companies. Currently he serves as Senior Vice President of Product Innovation and Chief Technology Officer at MedeAnalytics, a leading provider of big data analytics for healthcare. It has a well-deserved reputation for having a world-class and cloud-based analytics platform dedicated to over 900 healthcare providers and payers in the US and UK.
Most recently, Ping was the senior vice president of research & development at Epocrates, Inc., a mobile and cloud-based health pioneer widely recognized for developing the most popular point-of-care medical applications used by physicians. Prior to Epocrates, Ping was Vice President of Engineering at Harris (Fortune 500), and Executive Vice President at Carefx where he managed technology strategy, product development and client delivery globally. His credentials also includes executive or senior leadership of highly-successful, large-scale development projects for QuadraMed, Siemens, ABB and GTE/Verizon. Ping earned his Bachelor of Science degree at age 19, and then a Master of Science in Computer Engineering and a Ph.D. from the University of Arkansas, where his M.S. thesis and Ph.D. dissertation centered upon HIV simulation modeling and artificial intelligence, respectively.Ping enjoys reading, jogging, and playing basketball. He also serves as a volunteer judge for youth speech and debate events. He has made many speeches at IEEE, CHIMA, HIMSS AsiaPAC and other conferences. .
报告提要：Winning Strategies for big data analytics in healthcare and beyond
The presentation will showcase the use of a combination of big data, mobile and cloud technologies to forecast revenues, mitigate risks, reduce costs, and improve quality in healthcare. We will formulate success strategies with proven results in a mobile could environments for healthcare and other industries.
特邀讲者 Zong Ling
Dr. Zong Ling is a Senior Software Engineer/Scientist in IBM's Software Group at Almaden Research Center, located in the Silicon Valley of Northern California. He has been working at IBM for more than 15 years with primary focus on performance evaluation of IBM data storage products and cloud storage systems, big date technology. Dr. Ling engages in customer services globally through troubleshooting storage performance issues, providing technical training classes and publishing IBM whitepapers. He has also presented performance tuning topics on IBM's storage products at IBM's Global e-Business University, Software University, Tivoli Pulse and Tivoli Academy. HIs current interests are in the areas of Cloud Computing Architecture, Service Science, Internet of Things, and Information Technology Service Management. As an IBM University ambassador and evangelist of IBM corporate culture with many years of expertise on information technology engineering and services, Dr. Ling has provided academic lectures locally at Stanford University and the University of California, Berkeley, and also taught credited courses overseas and hosted numerous seminars at China's top universities. In recognition of his contributions to the community, Dr. Ling has been awarded President's Volunteer Service Award for the past 5 years.
报告提要：当今，大数据带来的巨大价值正在逐渐引起传统产业的重视。通过技术创新与发展，以及数据的全面感知、收集、分析、共享，大数据为企业管理者和参与者呈现出看待制造业价值链的全新视角。人们逐渐认识到，大数据是制造业智能化的基础。在制造业大规模定制中的应用包括数据采集、数据管理、订单管理、智能化制造、定制平台等，核心是定制平台。定制数据达到一 定的数量级，就可以实现大数据应用。通过对大数据的挖掘，实现流行预测、精准匹配、时尚管理、社交应用、营销推送等更多的应用。同时，大数据能够帮助制造业企业提升营销的针对性，降低物流和库存的成本，减少生产资源投入的风险。
本报告拟结合在美国IBM公司从事大数据领域工作近20年的理论与实践经验，漫谈大数据的概念起源沿革、主要应用场景、及未来发展趋势，特别注重介绍IBM公司在全球传统制造业中应用大数据技术的成熟实用案例，以飨听众。
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