Keynotes

Prof. Jie Wu

Department of Computer and Information Sciences, Temple University

Title: Crowdsourcing as a Future Collaborative Computing Paradigm

Bio:

Jie Wu is the Director of the Center for Networked Computing and Laura H. Carnell professor at Temple University. He served as Chair of Department of Computer and Information and Associate Vice Provost for International Affairs. Prior to joining Temple University, he was a program director at the National Science Foundation and was a distinguished professor at Florida Atlantic University. His current research interests include mobile computing and wireless networks, routing protocols, network trust and security, distributed algorithms, and cloud computing. Dr. Wu regularly publishes in scholarly journals, conference proceedings, and books. He serves on several editorial boards, including IEEE Transactions on Mobile Computing and IEEE Transactions on Service Computing. Dr. Wu is/was general chair/co-chair for IEEE IPDPS’08, IEEE DCOSS’09, IEEE ICDCS’13, ACM MobiHoc’14, ICPP’16, IEEE CNS’16, WiOpt’21, and ICDCN’22 as well as program chair/cochair for IEEE MASS’04, IEEE INFOCOM’11, CCF CNCC’13, and ICCCN’20. Dr. Wu is a Fellow of the AAAS and a Fellow of the IEEE. He is the recipient of the 2011 China Computer Federation (CCF) Overseas Outstanding Achievement Award.

Abstract:

This talk gives a survey of crowdsourcing applications as a future collaborative computing paradigm, with a focus on algorithmic solutions. The recent search for Malaysia flight 370 and the history of human-computer chess matches are used as motivational examples. Several applications of crowdsourcing are discussed in different areas. Fundamental issues in crowdsourcing, in particular, incentive mechanisms for paid crowdsourcing, and algorithms and theory for crowdsourced problem-solving, are then reviewed. A set of paradigms for algorithmic crowdsourcing are given, with a focus on the cost-effective processing of a large set of data. The talk also discusses several on-going projects on crowdsourcing.

Prof. Dan Feng

Dean of School of Computer Science and Technology at Huazhong University of Science and Technology

Title: Software Optimization for Open-Channel Solid State Drives

Bio:

Prof. Dan Feng is currently the Dean of School of Computer Science and Technology at Huazhong
University of Science and Technology. She is a distinguished professor of Yangtse River Scholar and a
receiver of National Outstanding Youth Funds. She is also the director of Division of Data Storage
System, Wuhan National Lab for Optoelectronic, and the director of Key Laboratory of Information
Storage System, Ministry of Education of China. Her expertise is in data storage and worked as a chief
scientist for two national 973 projects and a leading expert for one 863 major project and a principal
investigator for numerous national natural science foundation projects. She holds 80 granted patents,
and has published 200+ papers. She has also received two 2 nd -class State Technological Innovation
Awards.