ECE Distinguished Lecture Series with Professor Alok N. Choudhary

4:00 pm on Wednesday, September 14, 2011
Photonics Center, 8 Saint Mary’s St., Room 211

Discovering Knowledge from Massive Data and Social Networks

With Professor Alok N. Choudhary, Electrical Engineering and Computer Science, Northwestern University

Faculty Host: Martin Herbordt

Refreshments will be served outside Room 339 at 3:45 p.m.

Abstract: Knowledge discovery in science and engineering has been driven by theory, experiments and more recently by large-scale simulations using high-performance computers (HPC). Modern experiments and simulations involving satellites, telescopes, high-throughput instruments, imaging devices, sensor networks, accelerators, and supercomputers yield massive amounts of data. At the same time, the world, including social communities, is creating massive amounts of data at an astonishing pace. Just consider Facebook, Google, articles, papers, images, videos and others. But, even more complex is the network that connects the creators of data. There is knowledge to be discovered in both. This represents a significant and interesting challenge for HPC and opens opportunities for accelerating knowledge discovery.

In this talk, followed by an introduction to high-end data mining and the basic knowledge discovery paradigm, Professor Choudhary will present the process, challenges and potential for this approach. He will present many case examples, results and future directions including (1) mining sentiments from massive datasets on the web; (2) real-time stream mining of text from millions of tweets to identify influencers and sentiments of people; (3) discovering knowledge from massive social networks containing millions of nodes and hundreds of billions of edges from Facebook, Twitter and other social network sites (e.g., can anyone follow presidential campaigns in real-time?); and (4) discovering knowledge from massive datasets from science applications including climate, medicine, biology and sensors. The talk will be illustrative and example-driven and may include one or two live demonstrations.

About the Speaker: Alok Choudhary is a John G. Searle Professor of Electrical Engineering and Computer Science at Northwestern University. He is the founding director of the Center for Ultra-scale Computing and Information Security (CUCIS). Professor Choudhary was a co-founder and VP of Technology at Accelchip Inc. in 2000, a company that was eventually acquired by Xilinx. He received the National Science Foundation's Young Investigator Award in 1993. He has also received an IEEE Engineering Foundation award, an IBM Faculty Development award, and an Intel Research Council award.

He is a fellow of IEEE, ACM, and AAAS. His research interests are in high-performance computing, data intensive computing, scalable data mining, computer architecture, high-performance I/O systems, and software and their applications. Alok Choudhary has published more than 350 papers in various journals and conferences and has graduated 30 PhD students. Techniques developed by his group can be found on every modern processor and scalable software developed by his group can be found on most supercomputers. Professor Choudhary’s work has appeared in much traditional media including the New York Times, Chicago Tribune, and Telegraph; and on TV channels such as ABC and PBS as well as many international media outlets all over the world.