Applications in Analysis and Processing of Large-Scale and Distributed Data

Department of Computer Science
University of Delhi

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Streaming data, social media data, content, electronic medical records, astronomy surveys, genomic and proteomic studies result into repositories of terabytes/petabytes/exabytes scale and pose significant challenges in analysis, which can be transformed to opportunities in Data Science. Recent meetings (KDCloud10, KDCloud11, PDAC10) have generated interest in adopting cloud and distributed computing resources for large scale data management, data mining and knowledge discovery tasks.

The First International Conference on Big Data Analytics (BDA 2012) is set in this backdrop. The goal of the conference is to generate interest among researchers by exposing them to ground breaking opportunities that arise during analysis and processing of massive volumes of distributed data stored across clusters of networked computers. We invite researchers, developers, and users to participate in this event to share and discuss the emerging challenges in developing data management and data mining solutions, and frameworks around cloud and distributed computing platforms.

Attendance at BDA 2012 will be limited to a small number of active researchers.The format of the conference will encourage everyone to participate actively in discussions. Keynote discussions will be used to focus the debate onto current research issues. Pre-printed papers will be available to all participants and discussion is expected to lead to improvement of the papers and a record of their inter-relationships.

BDA -2012 Brochure


Platinum Sponsor


Silver Sponsors

Hewlett Packard
IBM, India Research Lab


           ACM Delhi-NCR Chapter, India


Direct any questions to one of the organizers, or to the conference email address:,,,,

Keynote Speakers: A Brief

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    Sharma Chakravarthy

    Sharma Chakravarthy joined the Computer Science and Engineering Department at the University of Texas at Arlington, Arlington in Spring 2000 as a Full Professor. His interests include information integration, sensor/stream data processing, Information retrieval/classification, Data warehousing, Data mining – transactional, text, and graph, and advanced uses of active capability. Dr. Chakravarthy has transitioned some of the results of the Sentinel and other projects into real-life applications (through BBN, Raytheon TI Systems, and Spawar).

    "Big Data Analytics: Should We Look for Revolutionary rather than Evolutionary Approaches? "(Abstract)

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    Dharanipragada Janakiram

    Dharanipragada Janakiram obtained his Ph.D degree from IIT, Delhi. He is currently a professor in the Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Madras, India, where he heads and coordinates the research activities of the Distributed and Object Systems Lab. His current research focus is on building large scale distributed systems focusing on design pattern based techniques, measurements, peer-peer middleware based grid systems etc.

    "Towards Rich Programming Abstractions for Big Data Analytics on Cloud. "

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    Gautam Shroff

    Dr. Shroff heads TCS‟ Innovation Lab in Delhi that conducts applied research in a variety of areas including information fusion, web intelligence, business analytics, text mining, computer vision. Prior to joining TCS in 1998, Dr. Shroff had been on the faculty of the California Institute of Technology, Pasadena, USA and thereafter of the Department of Computer Science and Engineering at Indian Institute of Technology, Delhi, India. In 1994 he was conferred the „Young Scientist Award‟ from the Department of Atomic Energy. Dr. Shroff graduated from the Indian Institute of Technology, Kanpur, India, in 1985 and received his Ph.D. in Computer Science from Rensselaer Polytechnic Institute, NY, USA, in 1990.

    "Is Enterprise Big Data Analytics for Real?"(Abstract)

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    Mukesh Mohania

    Mukesh Mohania received his Ph.D. in Computer Science & Engineering from Indian Institute of Technology, Bombay, India in 1995. Currently, he is an STSM and senior manager in IBM Research - India, and leading Information Management research group. He has worked extensively in the areas of distributed databases, data warehousing, data integration, and autonomic computing.

    "Cloud Computing and Big Data Analytics: What is new from DB Perspective?"(Abstract)

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    P. Krishna Reddy

    P. Krishna Reddy is in IIIT, Hyderabad since 2002. He has received Ph.D. degree in computer Science from Jawaharlal Nehru University, New Delhi. He was a researcher at Institute of Industrial Science, University of Tokyo during 1997-2002. His research interests include data mining and knowledge discovery, transaction synchronization, database systems, and information and communication technologies (ICTs) for agricultural and rural development. He has published about 90 refereed research papers.

    "A Model of Crop Specific Virtual Labs as a Cloud Computing Application for Enhancing Practical Agricultural Education. "(Abstract)

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    Jaideep Srivastava

    Jaideep Srivastava is a Professor in University of Minnesota, USA . He has received Ph.D. degree in Electrical Engineering and Computer Science, University of California, Berkeley. He was a researcher at Institute of Industrial Science, University of Tokyo during 1997-2002. His research interests include Databases, data mining, multimedia systems.

    "Computational Social Science: Big Data Analytics as a Means to Understand Human Behavior."(Abstract)

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    Sayan Pathak

    Sayan Pathak received Bachelor of Science in Instrumentation Engineering from the Indian Institute of Technology, Kharagpur, India in 1994 and Master of Science and PhD degrees in Bioengineering from the University of Washington, Seattle, in 1996 and 2000 respectively. He joined Microsoft as a senior developer and currently is a Principal Program Manager at Microsoft India (R&D) Pvt Ltd in Bangalore, working on algorithm R&D in the online advertising space. Sayan has been working on cutting edge technology in Microsoft products in collaboration with Microsoft Research Labs across the world with emphasis on Machine Learning technologies.

    "Emerging Technology and Applications with Big Data, Machine Learning and Cloud."(Abstract)

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    Perraju Bendapudi

    Perraju Bendapudi has been with Microsoft India (R&D) Pvt Ltd for the past 12 years. He is currently the Partner Architect of the Analytics Team. Perraju started his career in Microsoft as a Senior Developer in Microsoft Operations Manager Reporting. Subsequently, he became the Developer Lead to Service for Unix. He has also been the Development Manager for the Windows group at Microsoft India (R&D) Pvt Ltd. As the Principle Architect, he worked on the verification platform and binary based static driver verifier. As a Partner Development Director Perraju for the last four years worked on server and high scale services of Live Mesh and Azure Caching and Integration Services.

    "Emerging Technology and Applications with Big Data, Machine Learning and Cloud."(Abstract)

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    Rakesh Agrawal

    Dr. Rakesh Agrawal is a Microsoft Technical Fellow, heading the Search Labs in Microsoft Research in Silicon Valley. He is a Member of the National Academy of Engineering, a Fellow of ACM, and a Fellow of IEEE. He is the recipient of the ACM-SIGKDD First Innovation Award, ACM-SIGMOD Innovations Award, IIT-Roorkee Distinguished Alumni Award, ACM-SIGMOD Test of Time Award, VLDB 10-Yr Most Influential Paper Award, and ICDE Most Influential Paper Award. Scientific American named him to the list of 50 top scientists and technologists in 2003. Dr. Agrawal has been granted more than 70 patents and has published more than 175 research papers. Before Microsoft, he worked as an IBM Fellow at IBM Almaden and at Bell Laboratories, Murray Hill. He received his Ph.D. degrees in Computer Science from the University of Wisconsin-Madison.

    "Data Analytics for Electronic Textbooks." (Abstract), (Talk)

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    Maya Ramanath

    Maya Ramanath is an assistant professor at IIT-Delhi. Her interests are in the area of database and information retrieval techniques for semantic web data management. She received her masters and PhD from IISc, Bangalore and previously worked as a researcher at the Max-Planck Institute for Informatics in Germany.