Title:Data Usability: An Aspect of Big Data Research
Speaker:Jianzhong Li, Harbin Institute of Technology, China
The rapid development of information technology gives rise to the big data era. Big data has become an important wealth of information society,
and has provided unprecedented rich information for people to further perceive, understand and control the physical world. However,
with the growth of the data scale, dirty data comes along. Dirty data leads to the low usability of big data,
and seriously harms the information society. In recent years, the data usability problems have aroused the attentions of both the academia and industry.
In-depth studies have been conducted, and a series of research results have been provided.
This talk introduces the concept of data usability, discusses the challenges and research issues of data usability,
reviews the research results on data usability, as well as exploring the future research direction of data usability.
Jianzhong Li is a professor of the Department of Computer Science and Engineering at the Harbin Institute of Technology, China. He worked in the University of California at Berkeley as a visiting scholar in 1985. From 1986 to 1987 and from 1992 to 1993, he was a scientist in the Information Research Group in the Department of Computer Science at Lawrence Berkeley National Laboratory, USA. He was also a visiting professor at the University of Minnesota at Minneapolis, Minnesota, USA, from 1991 to 1992 and from 1998 to 1999. His current research interests include big data computing, data mining and analyzing, and wireless sensor networks. He has authored three books and published more than 200 papers in refereed journals and conference proceedings, such as Algorithmica, VLDB Journal, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Parallel and Distributed Systems, SIGMOD, VLDB, ICDE, INFOCOM. He has been involved in the program committees of major computer science and technology conferences, including SIGMOD, VLDB, ICDE, INFOCOM, ICDCS, and WWW. He has also served on the editorial boards for many distinguished journals. He is the PI of National Basic Research Program of China (973 Program) and the winner of National Science Fund for Distinguished Young Scholars of China, National Award of Science and Technology, Wang Xuan Award, and other awards.
Title: Accelerating Iterative Computations on Commodity Hardware and FPGAs
Speaker:Lixin Gao, University of Massachusetts, Amherst
The advances in sensing, storage, and networking technology have created hug collections of high-volume, high-dimensional data.
Making sense of these data is critical for companies and organizations to make better business decisions, and brings convenience to our daily life.
Recent advances in data mining, machine learning, and applied statistics have led to a flurry of data analytic techniques that typically require an iterative refinement process.
However, the massive amount of data involved and potentially numerous iterations required make performing data analytics in a timely manner challenging.
In this talk, we present a series of distributed frameworks that accelerate iterative computations. The distributed frameworks enable programmers to focus on specifying update operations for iterative computations and release them from handling worker coordination and scheduling, and fault recovery issues.
We further implement the distributed frameworks on a cluster consisting of commodity servers and FPGAs and enablemassive data processing in a heterogeneous environment.
Lixin Gao is a professor of Electrical and Computer Engineering at the University of Massachusetts at Amherst.
She received a Ph.D. degree in Computer Science from the University of Massachusetts at Amherst.
Her research interests include online social networks, and Internet routing, network virtualization and cloud computing.
Between May 1999 and January 2000, she was a visiting researcher at AT&T Research Labs and DIMACS. She was an Alfred P.
Sloan Fellow between 2003-2005 and received an NSF CAREER Award in 1999.
She won the best paper award from IEEE INFOCOM 2010, and the test-of-time award in ACM SIGMETRICS 2010.
Her paper in ACM Cloud Computing 2011 was honored with "Paper of Distinction".
She received the Chancellor's Award for Outstanding Accomplishment in Research and Creative Activity in 2010,
College of Engineering Outstanding Senior Faculty Award in 2013, and Outstanding Achievement in Research Award by College of Information and Computer Sciences at the University of Massachusetts in 2015.
She is a fellow of IEEE and ACM.
Title: On Large Scale Internet of Things
Speaker:Yunhao Liu, Tsinghua University, China
Yunhao Liu, IEEE Fellow, ACM Fellow, Chang Jiang Professor and Dean of School of Software at Tsinghua University, China.
Yunhao received his BS degree in Automation Department from Tsinghua University in 1995,
and an MS and a Ph.D. degree in Computer Science and Engineering at Michigan State University in 2003 and 2004,
respectively. Yunhao serves as the Associate Editors-in-Chief for IEEE Transactions on Parallel and Distributed Systems 2011-2014,
and now Associate Editor for IEEE/ACM Transactions on Networking and ACM Transactions on Sensor Network.
He received 4 Best Paper Awards in international leading conferences and many other awards including ACM Presidential Award,
China National Natural Science Award, National Distinguished Young Scholar Award, etc.