Keynote Speakers

Prof. Rajib Mall
RAJIB MALL, PhD, is Professor & Head, Department of Computer Science and Engineering, IIT Kharagpur. He has vast practical experience in developing industry-oriented software systems. Dr. RAJIB MALL obtained all his professional degrees: Bachelor's, Master's, and the Doctoral degrees from the Indian Institute of Science, Bangalore. He worked for Motorola (India) for about three years before joining the faculty of Computer Science and Engineering at IIT, Kharagpur. He has guided more than a dozen Ph.D. theses and has published more than 150 refereed international journal and conference papers. He has done consultancy projects for organizations such as General Motors, Infosys, Honeywell, and Usha Telecom. He works mostly in the areas of program analysis and design of traditional as well as emerging software systems. He is also well known for his celebrated books on “Fundamentals Of Software Engineering”, PHI Learning, “Real-Time Systems : Theory and Practice”, Pearson Education and “Fundamentals of Mobile Computing”, Prentice-Hall Of India.

Keynote Title: Program Slicing and Its Applications
Abstract: Program slicing is a program analysis technique that has widespread application primarily in software engineering activities, but is a promising technique that is poised for applications in other areas such as social networks as well. A program slicing approach is based a dependency model of a program that is popularly represented as a graph. Based on this dependency model, various notions of slicing can be introduced. We briefly highlight these notions of slicing and provide an overview of their applications. The talk does not assume much research background in the area of program analysis and primarily targets to expose researchers working in various fields to the program slicing techniques, so that they can investigate its applicability to their respective research problems.

Prof. Rajkumar Buyya
Dr. Rajkumar Buyya is Professor of Computer Science and Software Engineering, Future Fellow of the Australian Research Council, and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia.He is also serving as the founding CEO of Manjrasoft, a spin-off company of the University, commercializing its innovations in Cloud Computing. Software technologies for Grid and Cloud computing developed under Dr. Buyya's leadership have gained rapid acceptance and are in use at several academic institutions and commercial enterprises in 40 countries around the world. He is the recipient of several Awards including Richard Merwin Award from the IEEE Computer Society (USA) in 1999, Leadership and Service Excellence Awards from the IEEE/ACM International Conference on High Performance Computing in 2000 and 2003, IEEE Medal for Excellence in Scalable Computing" from the IEEE Computer Society, USA in 2009, Asia Pacific Frost & Sullivan New Product Innovation Award in 2010, Telstra Innovation Challenge, People's Choice Award in 2011 etc. He has authored over 450 publications and is currently serving as the Editor-in-Chief (EiC) of IEEE Transactions on Cloud Computing.

Keynote Title: Market-Oriented Cloud Computing and Big Data Applications
Abstract: Computing is being transformed to a model consisting of services that are commoditized and delivered in a manner similar to utilities such as water, electricity, gas, and telephony. In such a model, users access services based on their requirements without regard to where the services are hosted. Several computing paradigms have promised to deliver this utility computing vision. Cloud computing has emerged as one of the buzzwords in the IT industry and turned the vision of "computing utilities" into a reality. Several IT vendors have started offering computation, storage, and application hosting services, and provide coverage in several continents, supporting Service-Level Agreements (SLA) backed performance and uptime promises for their services. Clouds deliver infrastructure, platform, and software (application) as services, which are made available as subscription-based services in a pay-as-you-go model to consumers. The price that Cloud Service Providers charge can vary with time and the quality of service (QoS) expectations of consumers. This keynote presentation covers (a) 21st century vision of computing and identifies various IT paradigms promising to deliver the vision of computing utilities; (b) opportunities and challenges for utility and market-oriented Cloud computing, (c) innovative architecture for creating market-oriented and elastic Clouds by harnessing virtualisation technologies; (d) Aneka, a Cloud Application Platform, for rapid development of Cloud/Big Data applications and their deployment on private/public Clouds with resource provisioning driven by SLAs; (e) experimental results on deploying Cloud and Big Data applications in engineering, gaming, and health care domains (integrating sensors networks, mobile devices), ISRO satellite image processing on elastic Clouds, and (f) directions for delivering our 21st century vision along with pathways for future research.

Dr.Deepak P
Deepak P is a researcher in the Information Management Group at IBM Research- India, Bangalore. He obtained his B.Tech degree from Cochin University, India followed by M.Tech and PhD degrees from IIT Madras, India, all in Computer Science. His current research interests include Similarity Search, Spatiotemporal Data Analytics, Graph Mining, Information Retrieval and Machine Learning. He has authored over 20 papers in reputed conferences and has filed several patent applications with the US PTO including two issued patents. He has been working in the area of similarity search since 2008; he co-chaired the 2011 EDBT Workshop on New Trends in Similarity Search.

Dr. Prasad M. Deshpande
Prasad M Deshpande is a Senior Technical Staff Member at IBM Research - India and Manager of the Watson Foundations - Platforms and Infrastructure group. His areas of expertise lie in data management, specifically data integration, OLAP, data mining and text analytics. He received a B. Tech in Computer Science and Engineering from IIT, Bombay and a M.S. and Ph.D. in Database systems from the University of Wisconsin, Madison. He is an ACM Distinguished Scientist and member of the IBM Academy of Technology. His current focus is in the areas of data discovery and curation for big data platforms, data integration and machine data analytics. He has worked at several companies, including IBM Almaden Research Center prior to joining IBM Research - India in 2005. He has more than 40 publications in reputed conferences and journals and 11 patents issued.

Keynote Talk by Deepak P, Researcher & Prasad M. Deshpande
Title: "Similarity Search: Navigating the Choices for Similarity Operators"
Abstract: With the growing variety of entities that have their presence on the web, increasingly sophisticated data representation and indexing mechanisms to retrieve relevant entities to a query are being devised. Though relatively less discussed, another dimension in retrieval that has recorded tremendous progress over the years has been the development of mechanisms to enhance expressivity in specifying information needs; this has been affected by the advancements in research on similarity operators. In this tutorial, we focus on the vocabulary of similarity operators that has grown from just a set of two operators, top-k and skyline search, as it stood in the early 2000s. Today, there are efficient algorithms to process complicated needs such as finding the top-k customers for a product wherein the customers are to be sorted based on the rank of the chosen product in their preference list. Arguably due to the complexity in the specification of new operators such as the above, uptake of such similarity operators has been low even though emergence of complex entities such as social media profiles warrant significant expansion in query expressivity. In this tutorial, we systematically survey the set of similarity operators and mechanisms to process them effectively. We believe that the importance of similarity search operators is immense in an era of when the web is populated with increasingly complex objects spanning the entire spectrum, though mostly pronounced in the social and e-commerce web.