Friday, April 25, 2014 at 1:00 p.m.
in the Marvin K. Peterson Library, upper level
"Big Data is the Next Big Thing"
The nature of Information Technology (IT) and its applications have taken a staggering turn in the past decade. Data bases are no longer about a collection of files from individuals or organizations taking megabytes of disk space, but rather astronomical data sets such as information on human genome project, space exploration, NASA climate observations, and so on; occupying petabytes, zettabytes, and shilentnobytse of storage clusters. To put these numbers in perspective, keep in mind that one petabyte has 15 zeros and it can hold more than 1.2 Million CDs of information.
Storage of such quantities of data is the easiest of the matter, the complexity comes from transmission, retrieval, and analysis of the data with security, quality of service, and high performance. Big Data just does all of that. It is evident that Big Data is not only about large quantities of information or enormous databases, but it is about the ability to transmit, manage, retrieve, analyze, visualize, and access these data at your figure tip, with confidence on speed, accuracy, integrity, quality, and reliability. Big Data could be summarized in four V’s; large Volumes of information from Variety of data types stored in clusters of storage arrays, where we could stream and transmit it with a high Velocity, while ensuring the Veracity of the information.
In this talk we will describe the fundamentals of Big Data, including infrastructure, analytics, capabilities, and applications, without getting into details. The talk is intended for general public with average knowledge of technology and desire to learn more about Big Data.
Dr. Amir Esmailpour is currently an assistant professor at the department of Electrical and Computer Engineering and Computer Science (ECECS) in the University of New Haven (UNH), where he is teaching computer and networking courses, while conducting research in the 4th Generation (4G) of wireless networks such as Long Term Evolution (LTE) and (Worldwide Interoperability for Microwave Access (WiMAX). Amir has founded the UNH wireless Research Group (UNHwRG), where he along with his graduate and undergraduate students conduct state-of-the-art research on various topics in networking and wireless communications. With the emergence of Big Data and its dependence on networking technologies, the UNHwRG has started a subgroup to focus on Big Data infrastructure research.
Before coming to the UNH, Amir was a postdoctoral fellow at the Department of Electrical and Computer Engineering (ECE) in the University of Toronto in Toronto, Canada. He received his PhD at the faculty of Engineering and Computer Science in the University of Guelph, in Guelph, Canada, and Masters and Bachelor degrees from Ryerson University, Toronto, and University of Ottawa, Ottawa, both in Canada respectively. Amir has several years of experience in research and teaching in university and colleges across Canada and the United States. Prior to returning to academic work, he also had several years of experience in the industry, working for companies such as Nortel Networks, Daimler Chrysler, and so on.
Amir has several published papers in the internationally reputable publications such as IEEE journals, magazines, and conferences. He has also voluntarily refereed for 100+ of papers in the same journals and conferences. Amir held several Canadian national, provincial and industrial awards and scholarships during his academic and professional experience such as Canadian prestige’s NSERC. In addition to his University education, he also holds several industrial certifications such as Microsoft Corporation, Cisco Systems, and Nortel Networks certifications.
Amir’s research interests are focused in various areas of networking and wireless communication, such as next generation of wireless networks, LTE, WiMAX radio resource management, quality of service. He also has strong industrial affiliations with companies such as Ericsson, Cisco, RIM and so on, in addition to strong desire for research and teaching.