Call for Research Papers / Posters

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Call for Research Papers / Posters


Compute is ACM India's flagship conference, held annually in India.  Every year it is hosted by one of the ACM Chapters in India. ACM Delhi-NCR Chapter will be hosting Compute 2015, the eighth in the series, at ABES EC, Ghaziabad.  Ghaziabad is small industrial town in Uttar Pradesh known mainly for its proximity to New Delhi.

Important Dates
  •     Research Paper / Poster submission deadline: Thu, Aug 20, 2015
  •     Notification deadline: Thu, Sep 24, 2015
  •     Camera ready submission deadline: Thu, Oct 08, 2015

Submission Guidelines
All submissions must be prepared in ACM conference format and must not exceed 8 pages (including figures, references and appendices). Specifications for the ACM conference format can be found at
All submissions must be in English. Submissions that do not adhere to these guidelines or that violate formatting will be declined without review. Papers must be submitted electronically through the Compute submission site at

All submissions will be subject to plagiarism check.  Papers submitted for consideration should not have been published elsewhere and should not be under review or submitted for review elsewhere during the duration of consideration.  At least one author of an accepted paper must register for the conference and present the paper in the conference. Only the presented papers will be included in the proceedings. 

We strongly encourage papers that report experimental work and results.  Submissions will be evaluated on the basis of originality, importance of contribution, soundness, evaluation, quality of presentation and appropriate comparison to related work.  Each submission will be reviewed by at least three members of the Program Committee. Papers that do not make the grade for publication, yet show promise, may be selected for poster presentation instead.

Topics of Interest
The theme of this conference is “Big Data and Analytics".  Enterprises today are beginning to realize the important role Big Data plays in achieving business goals. Concepts that used to be difficult for companies to comprehend--factors that influence a customer to make a purchase, behavior patterns that point to fraud or inefficiencies slowing down business processes--now can be understood and addressed by collecting and analyzing Big Data.  However, getting to that Big Data payoff is proving a difficult challenge for many organizations. Big Data is often voluminous and tends to rapidly change and morph, making it challenging to get a handle on.  The majority of tools available to work with Big Data are complex and hard to use.  What enterprises need are tools to help them easily and effectively understand and analyze Big Data.  Employees who aren't data scientists or analysts should be able to ask questions of the data based on their own business expertise and quickly and easily find patterns, or spot inconsistencies. 

As usual, the conference will consist of two tracks. 

Track I  Information and Knowledge Management:
Topics of interest in this track include, but are not limited to:
    * Data Management and Databases
    * Business Intelligence and Data Warehousing
    * Data Mining
    * Text mining: Extraction of Sentiments, Opinions, Entities, Facts and Events
    * Text Summarization and Classification
    * Structured-unstructured Information Integration
    * Link and Graph Mining

    * Temporal and Spatial Data Mining
    * Information Retrieval Models, Theoretical Foundations, Ranking
    * Social network analysis and social computation
    * Machine Learning for IR, Semi-Structured IR
    * Semantic Web, Web 3.0, and Semantic Technologies
    * Web 2.0 and Rich Internet Applications
As the theme of the conference is Big Data and Analytics, we would expect the papers to be oriented towards Big Data. Thus, for example, we would expect Data Mining to be Data Mining from Big Data, or Machine Learning for Information retrieval in the context of Big Data and so on. However, while this is a desired characteristic of a submission, it is not essential.

Track II  High Performance Computing:
Topics of interest in this track include, but are not limited to:
    * Parallel and Distributed Algorithms/Systems
    * Parallel Languages and Programming Environments
    * Hybrid Parallel Programming with GPUs and Accelerators
    * Load Balancing, Scheduling and Resource Management
    * Resilient/Fault-Tolerant Algorithms and Systems
    * Cluster, Cloud, and Grid Computing
    * On-Demand Computing
    * Ubiquitous Computing
    * Theoretical Issues in Parallel and Distributed Systems

     * Programming Techniques and System Software for HPC
    * Performance and Benchmarking Techniques
    * Emerging Scientific/Engineering/Commercial Applications such as in Bioinformatics

 Program Co-Chairs
     Ponnurangam Kumaraguru (PK), IIIT Delhi
     Mangala Gowri Nanda, IBM Research

 Program Committee
    Amit A. Nanavati, IBM Research
    Amit Sinha, ABESEC
    Anuradha Gupta, JIIT
    Ashutosh Saxena, Infosys
    A V Subramanyam, IIIT Delhi
    Gautam Shroff, TCS
    Kishore Kothapalli, IIIT Hyderabad
    Kokil Jaidka, Adobe
    Krishnaprasad Lingadahalli Shastry, HP
    K V Raghavan, IISc
    Mradul Jain, ABES EC
    Nandivada V. Krishna, IIT Madras
    Nitendra Rajput, IBM Research
    Niyati Chhaya, Adobe
    Palanivel Kodeswaran, IBM Research
    Pravesh Biyani, IIIT Delhi
    Purandar Bhaduri, IIT Guwahati
    Radha Krishna Pisipati, Infosys
    Rahul Garg, IIT Delhi
    Rahul Purandare, IIIT Delhi
    Reshma Khemchandani, SAU
    Rishabh Kaushal, IGDTUW
    Rishiraj Saha Roy, Adobe
    R. Kuldeep, Xerox Research
    Sakyajit Bhattacharya, Xerox Research
    Sandya Mannarswamy, HP
    Sanjay Chaudhary, Ahemdabad University
    Suman Roy, Infoys
    Vikram Goyal, IIIT Delhi
    Yogish Sabharwal, IBM Research


We invite high-quality submissions describing original and unpublished results. Accepted submissions will be included in the ACM Digital Library.

For any Query write us at