The International Conference on Intelligent Computing and Big Data Analytics aims to bring together researchers in these fields and create a strong community which thrives on the frontier of technology. The theme of the conference is "Intelligent Computing and Big Data Analytics”. The primary objective of ICICBDA 2024 is to provide a platform for researchers, academicians and industry professionals from all over the world to present their research and development work in applied areas of Intelligent Computing and Big Data Analytics.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

• Full papers describing the emerging area of big data and intelligent computing covering the following topics but not limited to:
• Artificial Intelligence
  • Automated reasoning and inference
  • Common-sense reasoning
  • Cognitive computing
  • Machine learning
  • Deep learning
  • Natural Language Processing
  • Explainable AI
  • Reasoning under uncertainty or impercision
  • Meta-heuristics
  • Intelligent agents and multi-agent systems
  • Intelligent interfaces
  • Intelligent robotic automation
  • Intelligent text analysis
  • Intelligent Systems and Control
  • Applications of AI to interdisciplinary domains
• Big Data Analytics and Visualization
  • Exploratory Data Analysis
  • Statistical and mathematicsal modeling
  • Data mining and knowledge discovery
  • Cloud computing architecture and systems
  • ETL and Big Data warehousing
  • Data visualization
  • Statistical and inferential analysis
  • Environmental modeling based on data mining methods
  • Privacy preserving big data
  • Medical informatics
  • Big data in bioinformatics
• Pattern Recognition
  • Image and video analysis
  • Recognition: detection, categorization, indexing
  • Statistical pattern recognition
  • Machine vision
  • Motion and tracking
  • Content-based retrieval of image and video
  • Pattern recognition in humans: face, pose, iris, gait, gesture, movement
  • Statistical learning-based applications
  • Deep learning-based applications
  • Speech processing and recognition
  • Pattern Recognition applications
  • Medical and biological vision
• Intelligent Security Systems
  • Blockchain applications
  • Device log analysis
  • Events posing security threats
  • Deep packet analysis
  • Network and system behaviour analysis
  • Intrusion detection and prevention
  • Cryptanalysis
  • Social media analysis for security
  • IoT Security

Committees

Program Committee

• Dr. Timothy Gonsalves (Ex-Director, IIT Mandi)
• Dr. Mini Rai (University of Lincoln, UK)
• Dr. Prabhat Kumar Mishra (Massachusetts Institute of Technology)
• Dr. Nitin Goje (Webster University, Tashkent)
• Dr. Nilanjay Dey, Techno International New Town, Kolkata, India . Visiting Fellow, WC Laboratory, Department of Biomedical Engineering, University of Reading, UK.
• Dr. Pascal Lorenz, University of Haute Alsace, France
• Dr. Amit Kumar Verma, IIT BHU Varanasu, India.
• Luigi Troiano, University of Salerno, Italy.
• Muttukrishnan Rajarajan, University of London, UK
• Omer Rana, Cardiff University, UK.
• Jason Fritts, Saint Louis University, USA.
• Yonghong Peng, Manchester Metropolitan University, UK.
• Huan Liu, Arizona State University, USA.
• Dr. Sachin Jain (Oklahoma State University)
• Dr. Vasily Borisov (UrFU, Russia)
• Dr. Kuldeep Kurte (Lead Research Scientist, Jio)
• Dr. Sathish Samiappan (Research Assistant Professor, Mississippi State University)
• Dr. Pankaj Kulkarni (Application Architect, Deloitte, USA)
• Dr. Arun PV, IIIT (Sri city, Chittoor)

Organizing Committee

• Prof. Sangita Chaudhari (RAIT, DYPU)
• Dr. Pallavi Chavan (RAIT, DYPU)
• Mr. Balu Bhusari (RAIT, DYPU)

Publication

ICICBDA2024 proceeding is planned to publish the proceedings with Springer in their Communications in Computer and Information Science series (final approval pending).

Venue

Ramrao Adik Institute of TechnologySector 7, Phase I,Pad. Dr. D. Y. Patil Vidyapeeth,Nerul, Navi Mumbai 400706.

Contact

 icicbda2024@rait.ac.in