San Mateo, Calif. – June 19, 2012 – Guavus Inc., a leading provider of big data analytics solutions that enable service providers and enterprises to make intelligent and timely business decisions, today announced the formation of its Technology Advisory Board. Members include Boston University computer science professor and Guavus Chief Scientist Mark Crovella, Technicolor Chief Scientist Christophe Diot and University of Maryland Associate Professor Nick Feamster. The board's primary responsibility is to keep Guavus at the forefront of a rapidly evolving data science landscape.
"Guavus's Technology Advisory Board is comprised of some of the best and brightest minds in data science," said Anukool Lakhina, founder and CEO of Guavus. "Their combined experience ensures that we remain at the forefront of technical innovation, and continue to develop novel data science methods to address some of the most challenging problems in large-scale data analysis."
Mark Crovella was recently named Guavus's Chief Scientist and has been a Professor of Computer Science at Boston University since 1994. From 2003-2004 he was a Visiting Associate Professor at the Laboratoire d'Informatique de Paris VI (LIP6). He received a BS from Cornell University in 1982; he also earned an MS from the State University of New York at Buffalo and a PhD in Computer Science from the University of Rochester. The owner of five patents, Crovella co-authored Internet Measurement: Infrastructure, Traffic, and Applications (Wiley Press, 2006) and authored more than one hundred papers on networking and computer systems.
As Chief Scientist for Technicolor, Christophe Diot is in charge of the company's long-term research strategy. Previously he worked with Intel Research in Cambridge, where he launched three projects in the area of network monitoring, wireless networking and opportunistic communication. Diot also worked with Sprint, where his research group designed a unique measurement infrastructure made of GPS synchronized packet traces, routing events, SNMP data, and active probing – which yielded design tools, models, and traffic engineering mechanisms for Sprint to increase performance and more easily manage networks.
"Guavus has already made it clear that one of its lasting contributions to big data is the drastic reduction of the economic and technological risks associated with deploying an analytics system," said Diot. "Rather than sinking millions of dollars upfront into data storage and transport, Guavus's holistic approach of continuous analytics and agile proof-of-concept modeling, generates actionable solutions and accelerated ROI. It's this kind of edge that drew me to the company and that the board is committed to maintaining."
Nick Feamster is currently the Darnell-Kanal Associate Professor of Computer Science in the Department of Computer Science at University of Maryland. Prior to this, he served as an associate professor in the College of Computing at Georgia Tech. His research focuses on many aspects of computer networking and networked systems, including the design, measurement, and analysis of network routing protocols, network operations and security and anonymous communication systems. In December 2008, he received the Presidential Early Career Award for Scientists and Engineers (PECASE) for his contributions to cyber security. He received his Ph.D. in Computer science from MIT in 2005, and his S.B. and M.Eng. degrees in Electrical Engineering and Computer Science from MIT in 2000 and 2001, respectively.
"Mark, Christophe and I believe that Guavus has an innovative approach that addresses some of the most challenging big data problems" said Feamster. "With its focus on solving difficult problems associated with the data explosion – rather than provide tools to address bits and pieces of the puzzle – Guavus has demonstrated it has both the rigor and talent to consistently exceed customer expectations. It's the board's job to keep Guavus's overall technology ahead of the market."
Founded in June 2006, Guavus has been built from the ground up to unlock the value of operational, sensor and network generated big data and reduce the economic and technology risk associated with deploying a traditional business intelligence solution. Guavus big data analytics solutions, which are based on pioneering patent-pending technology, include the Guavus Reflex ™ platform integrated with a suite of analytics applications that enable intelligent and timely decision-making. Two of the top three mobile operators and backbone carriers in the United States utilize Guavus big data analytics solutions to control costs, maximize profits and deliver an enhanced end-to-end customer experience. The company is headquartered in San Mateo, CA with research and development offices in Gurgaon and Ahmedabad, India. For more information please visit us on Facebook, LinkedIn or Twitter.
Finn Partners for Guavus