张健，圆通速递股份有限公司、物流信息互通共享技术及应用国家工程实验室 前瞻技术研究员。在IT/互联网行业沉浸15年, 在全程供应链、产品设计及管理领域有着丰富的经验。《区块链技术在物流与供应链领域的应用前景蓝皮书》的作者之一
Yunlei Zhao is a Professor of Computer Science in Fudan University. He served as director of the Collaborative Innovation Center of the People's Liberation Army's People's Liberation Army, the member of the China Security Association, the member of the China Privacy Protection Committee, the member of the Academic Committee of the Coordinating Innovation Center of the People's Liberation Army, and the member of the expert group on the design and analysis of military standard cryptography. His main research includes cryptography theory and application, cloud computing and large data security privacy, network security. He has published a series papers in cryptography and information security national meetings and journals. His papers received a large number of reference, one single paper has cited by more than 100 times. Many papers are recommended by the Cryptology Pointers, and recommended as the annual representative paper or classical literature in cryptography field.
复旦大学计算机学院 教授 博导
Yangyong Zhu is a Professor of Computer Science in Fudan University, the director of Shanghai Key Laboratory of Data Science. He engaged in data mining research from 1996. In 2004, he began to engage in data science research. In 2009, he published the paper titled "Data Explosion, Data Nature and Dataology " and the first data science monograph "Dataology and Data Science". In 2010, he initiated "International Workshop on Dataology and Data Science". In 2014, with Yong Shi, Chengqi Zhang, he initiated the "International Conference on Data Science". In 2015, he initiated "Data Scientists Conference." Yangyong Zhu is one of executive co-chairs of the 462th Xiangshan Science Conference "Data science and big data of the theoretical problem exploration". In 2014, he proposed the "Data Arena" with Jiangxing Wu together. In 2015, he proposed "data finance". His research has been supported in part by the National Natural Science Foundation, 863, etc. He has published more than 150 papers, and published 9 monographs and teaching materials.
Zhenyuan Wang graduated from Fudan University in 1962. He received his Ph.D. from the Department of Systems Science, State University of New York at Binghamton in 1991. He taught various mathematical courses in Hebei University for many years since 1962, supervised graduate students since 1978, and served as the Chair of the Mathematics Department there from 1985 to 1990. He was a visiting scholar, visiting professor, or research fellow in University Paris VI, Binghamton University (SUNY), the Chinese University of Hong Kong, New Mexico State University, and University of Texas at El Paso during the period from 1979 to 2008. Currently, he is a tenured full professor in the Department of Mathematics, University of Nebraska at Omaha. He received a number of honors and awards including the title of “National expert” from the Chinese National Scientific and Technological Commission in 1986 and the “Citation Classic Award” from the Institute for Scientific Information (USA) in 2000. His research interests are nonadditive measures, nonlinear integrals, probability and statistics, optimization, soft computing, and data mining. He is the author or a co-author of about 150 research papers and three monographs: “Fuzzy Measure Theory” (1992), “Generalized Measure Theory” (2008), and “Nonlinear Integrals and Their Applications in Data Mining” (2010).
Chengqi Zhang has been appointed by the University of Technology Sydney (UTS) as UTS Distinguished Professor on 24 January 2017. He has been appointed as the Executive Director UTS Data Science on 15 September 2016 to look after all researches in Data Science area cross UTS.
Prof. Zhang’s research interests mainly focus on Data Mining and its applications. He has published nearly 300 research papers, including a number of papers in the first-class international journals, such as Artificial Intelligence, IEEE and ACM Transactions. He has published seven monographs and edited 16 books. He has delivered 16 keynote/invited speeches at international conferences. He has attracted 12 Australian Research Council grants. Due to his outstanding research achievements, he had been awarded 2011 NSW Science and Engineering Awards in Engineering, Information and Communications Technology category.
Prof. Zhang is a Fellow of the Australian Computer Society (ACS) and a Senior Member of the IEEE Computer Society (IEEE). Additionally, he served in the ARC College of Experts from 2012 to 2014.
Jeffrey Xu Yu is a Professor in the Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong. His current main research interests include graph mining, graph query processing, graph pattern matching, keywords search in databases, and online social networks. Dr. Yu served as an Information Director and a member in ACM SIGMOD executive committee (2007-2011), an associate editor of IEEE Transactions on Knowledge and Data Engineering (2004-2008), an associate editor in VLDB Journal (2007-2013), and the steering committee chair of APWeb (2013-2016). Currently he serves as an associate editor of ACM Transactions on Database Systems (TODS), WWW Journal, the International Journal of Cooperative Information Systems, the Journal on Health Information Science and Systems (HISS), and Journal of Information Processing. Dr. Yu served/serves in many organization committees and program committees in international conferences/workshops including PC Co-chair of APWeb'04, WAIM'06, APWeb/WAIM'07, WISE'09, PAKDD'10, DASFAA'11, ICDM'12, NDBC'13, ADMA'14, CIKM'15, and Bigcomp17
Philip S. Yu's main research interests include big data, data mining (especially on graph/network mining), social network, privacy preserving data publishing, data stream, database systems, and Internet applications and technologies. He is a Distinguished Professor in the Department of Computer Science at UIC and also holds the Wexler Chair in Information and Technology. Before joining UIC, he was with IBM Thomas J. Watson Research Center, where he was manager of the Software Tools and Techniques department. Dr. Yu has published more than 970 papers in refereed journals and conferences with more than 74,500 citations and an H-index of 127. He holds or has applied for more than 300 US patents.
Dr. Yu is the Editor-in-Chief of ACM Transactions on Knowledge Discovery from Data. He is on the steering committee of ACM Conference on Information and Knowledge Management and was a steering committee member of the IEEE Data Engineering and the IEEE Data Mining Conference. He was the Editor-in-Chief of IEEE Transactions on Knowledge and Data Engineering (2001-2004). He received the ICDM 2013 10-year Highest-Impact Paper Award, and the EDBT Test of Time Award (2014). He had received several IBM honors including 2 IBM Outstanding Innovation Awards, an Outstanding Technical Achievement Award, 2 Research Division Awards and the 94th plateau of Invention Achievement Awards. He was an IBM Master Inventor. Dr. Yu received his PhD from Stanford University
王智慧，男，博士，复旦大学计算机科学技术学院教师。曾在加拿大Simon Fraser University学术访问，获Ebco/Epic Visiting Scholar称号。主要研究方向为数据库、数据挖掘、数据安全与隐私保护，承担及参与了博士点新教师基金项目、上海市青年科技启明星项目、国家自然科学基金项目等多项研究课题。在数据库领域的重要国际会议ICDE、EDBT、DASFAA，以及《计算机学报》和《软件学报》等学术期刊上已发表论文多篇。
复旦大学计算机科学技术学院教授。研究兴趣包括数据科学、数据挖掘和大数据处理。长期从事数据领域研究，在数据科学学科、特异群组挖掘等方面做出了开拓性、系统性工作。研究工作获得了国家自然科学基金、国家863计划、国家科技支撑计划、上海市科委基金等资助，研究成果在包括TKDE、KDD、AAAI、ICDM等数据领域国际权威期刊和会议上发表论文30余篇。在国内率先开展大数据和数据科学的研究工作，2009年发表论文“Data Explosion, Data Nature and Dataology”并出版第一本数据科学专著《数据学》（《Dataology and Data Science》），原创性地提出了数据科学的定义和内涵；提出了一类大数据形态--特异群组挖掘，提出了一批新型的大数据挖掘算法，这些算法已被应用于上海市证券交易所、上海市交通信息中心、上海市医联平台等上海市大数据建设重要领域。
Ning Zhong received the Ph.D. degree from the University of Tokyo. He is currently head of Knowledge Information Systems Laboratory, and a professor in Department of Life Science and Informatics at Maebashi Institute of Technology, Japan. He is also director and an adjunct professor in the International WIC Institute (WICI), a principle investigator of Brain Informatics Based Wisdom Service group at Beijing Advanced Innovation Center for Future Internet Technology. Beijing University of Technology. Dr. Zhong's present research interests include Web Intelligence (WI), Brain Informatics (BI), Data Mining, Granular Computing, and Intelligent Information Systems. Currently, he is focusing on “WI meets BI” research and brain big data computing. The synergy between WI and BI advances our ways of analyzing and understanding of data, information, knowledge, wisdom, as well as their interrelationships, organizations, and creation processes, to achieve human-level Web intelligence reality. Such interdisciplinary studies make up the field of brain informatics and its applications in brain big data computing, health studies, ICT for smart-city, brain-inspired intelligent systems among others.
Dr. Zhong is the founding editor-in-chief of Web Intelligence journal (IOS Press), the editor-in-chief of Brain Informatics journal (Springer Nature), the editor-in-chief of Brain Informatics & Health (BIH) book series (Springer Nature), and serves as associate editor/editorial board for several international journals and book series. Dr. Zhong is the co-founder and co-chair of Web Intelligence Consortium (WIC), chair of the IEEE Computational Intelligence Society Task Force on Brain Informatics, co-founder and steering committee co-chair of IEEE/WIC/ACM international conference on Web Intelligence (WI), and co-founder and steering committee co-chair of international conference on Brain Informatics (BI).
时间：05-18 09:00 - 05-19 12:00
地点：上海市静安区江场三路258号 市北高新商务中心 三楼宴会厅中厅