Dr.Shroff, Gautam

Vice President & Chief Scientist, TCS Innovation Labs Delhi


Dr. Shroff graduated with a B.Tech in Electrical Engineering from the Indian Institute of Technology, Kanpur, India, in 1985 and received his PhD in Computer Science from Rensselaer Polytechnic Institute, NY, USA, in 1990.

Research Interests:

  • Data Analytics
  • Big Data
  • Text mining & Natural Language processing
  • Information Fusion
  • Multimedia, Robotics and Virtual Reality
  • Artificial Intelligence
  • Software Architecture
  • Software Engineering
  • Scientific Computing

List of Publications (PDF, 222 KB)


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Book - The Intelligent Web: Search, Smart Algorithms, and Big Data
Oxford University Press, U.K, Nov 2013 (Paperback edition, June 2015)
Author: Dr. Gautam Shroff

Abstract: As we use the web for social networking, shopping, and news, we leave a personal trail. These days, linger over a web page selling lamps, and they will turn up at the advertising margins as you move around the Internet, reminding you, tempting you to make that purchase. Search engines such as Google can now look deep into the data on the Web to pull out instances of the words you are looking for. And there are pages that collect and assess information to give you a snapshot of changing political opinion. These are just basic examples of the growth of 'web intelligence', as increasingly sophisticated algorithms operate on the vast and growing amount of data on the web, sifting, selecting, comparing, aggregating, correcting; following simple but powerful rules to decide what matters. While original optimism for Artificial Intelligence declined, this new kind of machine intelligence is emerging as the web grows ever larger and more interconnected.

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Book - Enterprise Cloud Computing: Technology, Architectures, Applications
Cambridge University Press, October 2010
Author: Dr. Gautam Shroff

Abstract:Cloud computing promises to revolutionize IT and business by making computing available as a utility over the internet. This book is intended primarily for practising software architects who need to assess the impact of such a transformation. It explains the evolution of the internet into a cloud computing platform, describes emerging development paradigms and technologies, and discusses how these will change the way enterprise applications should be architected for cloud deployment.

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Socio-Business Intelligence Using Big Data

Authors: Gautam Shroff, Lipika Dey and Puneet Agarwal. Abstract- We describe how the fusion of social and business intelligence is defining the next-generation of business analytics applications using a new AI-driven information management architecture that is based on big-data technologies and new data sources available from social media.


Is Big Analytics for Real?

The term ‘big data‘ has generated a lot of attention in the past eighteen months or so, to the point that it has been overused and oversold at times.