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From Dig Data to Actionable Intelligence

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What
  • Visitor Seminars
When Nov 25, 2013
from 04:00 PM to 05:00 PM
Where Enrg. IV Bldg., Maxwell Rm. Room 57-124
Contact Name
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Dr. Nima Khajehnouri

NetSeer Inc.

 

Abstract

The past two decades have witnessed an unprecedented explosion in the amount of data generated thanks to development of high throughput data collection and sharing methodologies and platforms. To process and interpret this escalating amount of data, the need for efficient data integration, management has increased in parallel. Novel computational frameworks have emerged with the promise of addressing this increasing need. Additionally, processing the massive amount of data gives rise to whole set of new challenges that were non-existent in traditional methods. Addressing those challenges calls for whole new computational and storage frameworks (e.g. Map/Reduce, NoSQL, and Cloud Computing). Designing and deploying such frameworks is, by and large, a major shift from commonly used methodologies in traditional data processing schemes. In this talk I discuss how big data analytic is different from traditional data processing methods;  I will present an overview of the new set of tools and challenges associated with big data such as data collections, serving, integration, provenance, processing, management and security followed by some examples actively being practiced in online advertising companies.


Biography

Nima was part of NetSeer’s original founding team and oversees the architecture and development for NetSeer Advertising Services across all markets and platforms. Nima is an expert in large-scale low latency serving platforms with years of experience in Big Data and large-scale datasets and data processing, web crawlers, NoSQL databases, large-scale serving platforms and web services, optimization and estimation techniques. Nima received the B.Sc. degree in Electrical Engineering from Sharif University of Technology, Tehran, Iran in 2001, and the M.Sc. and Ph.D. degrees in Electrical Engineering from the University of California, Los Angeles in 2003 and 2006 respectively. His research focus was on signal processing, optimization and estimation techniques for communication systems, including OFDM MIMO networks, multi-user MIMO networks, cellular localization, relay networks and signal processing for sensor networks. Nima has maintained his academic ties by remaining an active reviewer for IEEE journals and conferences.

 

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