张敏翀，上海数据交易中心副总裁。长期从事TMT行业政策研究、产业促进等工作，拥有丰富的产业分析、应用推进、政企数据交换与流通实践经验。

ChinaLedger技术委员会主任、上海证券交易所副总裁兼前总工程师

陈晏堂，上海合合信息科技发展有限公司，联合创始人，VP。陈晏堂先后任职于东方卫视、百视通。策划、执行了多项市场营销和推广活动，对移动互联网、网络新媒体等有丰富的运营经验。2011年，加盟合合信息，总体负责市场拓展和运营，她带领的智能解决方案团队，为千余家企业用户提供高效、智能化的商业数据解决方案。此外，合合信息旗下产品名片全能王是目前全球最多人使用的手机商务软件，超过2亿用户正在使用。企业大数据产品“启信宝”则是中国领先的企业数据云平台提供商。

郑涛，“学霸君”副总裁。郑涛曾就职于华泰联合证券，上海瑞业投资管理中心（合伙人）（有限合伙），主要负责与关注消费品行业以及新能源板块和先进制造业板块的投资。后又在上海中愈集团有限公司任职总经理，全面负责公司的各项工作，在任期间集团投资的上海崇立文化传播有限公司在实现业务转型后，成功出售给澳大利亚某上市公司，以及集团在不到2年的投资时间内实现4倍的投资回报。郑涛于2015年出任“学霸君”副总裁，负责学霸君的发展战略及投融资事宜。

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.

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.

斯雪明：数学工程与先进计算国家重点实验室研究员，上海市数据科学重点实验室副主任，国家大科学工程--平方公里阵列射电望远镜项目中方专家委员会委员，享受国务院政府特殊津贴专家。中国区块链基础技术与应用创新联盟理事长，中国计算机学会区块链专家委员会负责人，中国大数据产业应用协同创新联盟副理事长。先后获国家科技进步一等奖3项，省部级科技进步一等奖4项，二等奖1项。在各类高水平学术期刊（会议）发表论文30余篇，授权和申请国家发明专利9项。主要研究方向为密码学、高性能计算体系结构、数据科学、区块链。

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。

王梅，东华大学教授。2008年于复旦大学获博士学位，2008-2009年在新加坡国立大学计算机学院做博士后，2009年至今在东华大学任教。主要研究方向为数据库、多媒体、web检索。目前，获发明专利授权4项，发表文章共计30余篇，其中包括SCI索引3篇（单篇最高影响因子4.038），ICDE（CCF A类）等国际知名会议论文10余篇，指导学生发表于计算机领域国内权威杂志《软件学报》、《计算机学报》、《计算机研究与发展》等文章共计10余篇。上海市计算机学会会员，上海市计算机学会青工委委员，上海市开放系统协会会员。

吴毅坚，男，博士，副教授，2006年毕业于复旦大学计算机科学与工程系，获得理学博士学位，后留校在软件工程实验室从事教学科研工作。目前研究兴趣主要包括软件维护与演化、软件复用和产品线、大数据软件开发平台等。作为课题负责人和技术骨干参加了多个国家863、973项目、国家自然科学基金项目、上海市科委项目和企业合作项目的研究和开发工作，相关的研究成果在COMPSAC、ICSR、WCRE、QSIC等软件工程领域的重要国际会议和国内核心期刊上发表论文二十余篇。

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。

苏頲为 教授

医学博士，瑞金医院主任医师，

上海交通大学医学院附属瑞金医院内分泌科，

致力于肾上腺疾病的临床与基础研究。

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).