Talks & Seminars
Title: Google's mission is to organize the world's information and make it universally accessible and useful.
Dr. Arun Swami, Google
Date & Time: January 7, 2009 14:00
Venue: SIC 301, 03rd floor, ā€˜Cā€™ Block, Kanwal Rekhi Building
Google's mission is to organize the world's information and make it universally accessible and useful. Towards that end, a number of concepts from Computer Science have been applied in interesting ways. In this talk, we discuss the application of these concepts. In particular, we attempt the challenges imposed by the scale of the data that Google works with. We will leave lots of time for questions from the audience.
Speaker Profile:

Arun Swami has consistently shown the ability to tackle and solve challenging problems in new areas. He has created innovative systems using data mining, personalization technology, database algorithms and optimization algorithms. A common theme of many problems he has worked on is that they are hard analysis or optimization problems dealing with amounts of data. Arun has provided technical leadership and worked with customers and venture backed firms in a number of settings. Arun was a key member of the team that started IBM's research in data mining and has published seminal work in this area. His paper on data mining is ranked among the top 20 most cited CS papers.

Arun is currently at Google working in the areas of Web Search, Advertising Technology, and Corpus Search. Prior to Google, he was a Senior Computer Scientist (formerly Entrepreneur in Residence) in the Office of Technology at Adobe Systems. Before that he was a Principal Scientist at Xerox Palo Alto Research center (now PARC, INC.) where he studied developments in genomics and proteomics and problems in computational biology. Arun was the interim Chief Technology Officer (CTO) at a startup called Digital Jones. He was involved in the acquisition of Digital Jones by Deal Time (now Shopping.com). Prior to Digital Jones, he was co-founder and CTO of Neta, Inc., a startup in the area of E-commerce. Neta was acquired Infoseek (now part of Walt Disney). Arun was Chief Data Architect at Internet Profiles Corporation, an early market leader in providing Web analysis and auditing services. He was the technical lead on data mining at SGI and delivered SGI's first data mining and visualization product mindset. He was a Research Staff Member at the IBM Almaden Research Center. While he was working towards his Ph.D. degree, Arun did research at Hewlett-Packard laboratories. He has consulted for NetChannel (part of AOL), AdForce (part of CMGI), AtRoad and Women.com.

Arun has published over 33 papers in peer reviewed conferences and journal. He has filed several patents. He did his academic study and research in Computer Science. He was the valedictorian of his undergraduate class at the Indian Institute of Technology, Bombay, India. He obtained his M.S. and Ph.D. degrees from Stanford University.

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