Home > Seminars > Da Yan - Systems and Algorithms for Big Data Analytics

Da Yan - Systems and Algorithms for Big Data Analytics


2/9/2016 at 3:30PM


2/9/2016 at 5:00PM


356 Fitzpatrick


College of Engineering close button

Nitesh Chawla

Nitesh Chawla

VIEW FULL PROFILE Email: nchawla@nd.edu
Phone: 574-631-1090
Website: http://www.nd.edu/~nchawla/
Office: 384 Nieuwland Science Hall


College of Engineering Frank M. Freimann Professor
Dr. Chawla's research interests are broadly in the areas of Big Data: data science, machine learning, network science and their applications social networks, healthcare informatics/analytics, and climate/environmental sciences. He directs the Notre Dame Interdisciplinary Center for Network ...
Click for more information about Nitesh
Add to calendar:
iCal vCal

We are now in the Big Data era, and scalable techniques for efficient big data analytics are in high demand. This talk introduces the latest development in the field of big data analytics systems, with a special focus on graph processing systems. Google's Pregel is a pioneering distributed framework for big graph analytics, and has inspired numermous research on big graph systems since its advent in 2010. This talk starts with a brief review on Pregel, and then introduces how to develop graph algorithms for various applications under the model of Pregel with performance guarantees. We then proceed to identify the weaknesses of the existing model of Pregel in processing large real graphs, and introduce a few novel ideas and designs in improving the basic model of Pregel, which often achieve orders of magnitude performance improvements. This talk will cover important topics including computation model, communication mechanism, on-demand querying, out-of-core support, fault tolerance, etc. Many of the introduced works have been published in first-tier conferences, including four recent VLDB papers and one recent WWW paper. The talk will also touch upon the scalable processing of other types of big data such as geo-spatial data and uncertain data, and provide a vision on future directions of big data research.

Seminar Speaker:

Da Yan

Da Yan

The Chinese University of Hong Kong

Dr. Da Yan is currently a postdoctoral fellow of Computer Science in the Chinese University of Hong Kong. He received his Ph.D. degree in Computer Science from the Hong Kong University of Science and Technology in 2014, and his B.S. degree in Computer Science from Fudan University in Shanghai in 2009. He is the winner of Hong Kong 2015 Young Scientist Award in Physical/Mathematical Science.

Dr. Yan's research focuses on the development of scalable systems and algorithms for big data analytics, with a special emphasis on graph data, geo-spatial data and data uncertainty. The results of his research have been published in top-tier conferences such as SIGKDD, ICDE, EDBT, and top-tier journals such as PVLDB and TKDE. Notably, his first research paper won the best paper award in the 2011 DASFAA conference. His research has been awarded with ITF and GRF grants, and the systems he developed have been used by many research groups as well as companies (e.g., Taobao).