International Conference on Big Data, IoT & Data Analytics 2017 BID 2017 (IEEE No. 40833)

Vishwakarma Institute of Technology,Pune

(An Autonomous Institute affiliated to Savitribai Phule Pune University)



  1. Big data
  2. Networks and Communication
  3. Embedded Systems
  4. Internet of Things
  5. Soft Computing
  6. Data Science & Analysis
  7. Interdisciplinary Aspects


Internet of Things

Intelligent Systems for IoT;Environmental Monitoring; Energy Aware Systems and Efficiency; Machine to Machine/Device Communications; Network Design and Architecture; Networking and Communication Protocols; Wireless Systems and Applications; Infrastructure Management; IoT and e-Government, e-Commerce, e-Science and Novel Technologies; IoT and Big Data; Home Automation; Software Architecture, Middleware, and Frameworks; Services Computing; Health Informatics as a Service; Financial Software as a Service; Business Process as a Service; Natural Science as a Service; Integration as a Service; Large Scale Deployments; Mobile Services; Knowledge Management; Location-awareness; Security and Privacy; Social Implications of IoT; Technological focus for Smart Environments; Smart City Case Studies; Data Analysis and Visualization; Architecture for secure and interactive IoT; Intelligent Infrastructure and Guidance Systems; Sensor Networks, Remote Diagnosis and Development; Transportation Management; Pattern Recognition and Recommendation Systems; Green Computing; Smart City and Novel Methodologies; Data Processing Techniques; Analytics and Statistical Methods; Data Center Enabled Technologies; Sensor, Wireless Technologies and APIs; Networking and Social Networks; IoT in Social Sciences; Education and Learning; Business, Finance and Management; Open data: Issues, Services and Solutions; Earth Science Simulation and Processing; Practical Adoption of IoT and Case Studies; Healthcare Services and Health Informatics; Cloud, Grid and Cluster Computing; Emerging IoT

Algorithms for Big Data

Data and Information Fusion; Algorithms (including Scalable methods); Natural Language Processing; Signal Processing; Simulation and Modeling; Data-Intensive Computing; Parallel Algorithms; Testing Methods; Multidimensional Big Data; Multi-linear Subspace Learning; Sampling Methodologies; and Streaming

Big Data Fundamentals

Novel Computational Methodologies; Algorithms for Enhancing Data Quality; Models and Frameworks for Big Data; Graph Algorithms and Big Data; Computational Science; and Computational Intelligence

Data Science

Conversion of Data to Information; Conversion of Data to Knowledge; Data Mining; Information Mining; Predictive Analytics; Knowledge Discovery; Cloud Computing; Databases and Information Integration; Signal Processing; Natural Language Processing; Information Retrieval Methods; and Information Visualization

Infrastructures for Big Data & Data Science

Cloud Based Infrastructures (applications, storage & computing resources); Grid and Stream Computing for Big Data; High Performance Computing, Including Parallel & Distributed Processing; Autonomic Computing; Cyber-infrastructures and System Architectures; Programming Models and Environments to Support Big Data; Software and Tools for Big Data; Big Data Open Platforms; Emerging Architectural Frameworks for Big Data; Paradigms and Models for Big Data beyond Hadoop/MapReduce.

Big Data & Data Science Management and Frameworks

Database and Web Applications; Federated Database Systems; Distributed Database Systems; Distributed File Systems; Distributed Storage Systems; Knowledge Management and Engineering; Massively Parallel Processing (MPP) Databases; Novel Data Models; Data Preservation and Provenance; Data Protection Methods; Data Integrity and Privacy Standards and Policies; Novel Data Management Methods; Crowdsourcing; Stream Data Management; and Scientific Data Management.

Big Data Search

Multimedia and Big Data; Social Networks; Web Search and Information Extraction; Scalable Search Architectures; Cleaning Big Data (noise reduction), Acquisition & Integration; Visualization Methods for Search; Time Series Analysis; Recommendation Systems; and Graph Based Search and Similar Technologies.

Security & Privacy in the Era of Data Science & Big Data

Cryptography; Threat Detection Using Big Data Analytics; Privacy Threats of Big Data; Privacy Preserving Big Data Collection; Intrusion Detection; Socio-economical Aspect of Big Data in the Context of Privacy and Security.

Applications of Big Data:

Big Data as a Service; Big Data Analytics in e-Government and Society; Applications in Science, Engineering, Healthcare, Visualization, Business, Education, Security, Humanities, Bioinformatics, Health Informatics, Medicine, Finance, Law, Transportation, Retailing, Telecommunication, all Search-based applications.

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