International Conference on Big Data and Smart Computing (ICBDSC)

Event Overview

The International Conference on Big Data and Smart Computing (ICBDSC) will be held on 14 February 2026 in Delhi, India. The conference aims to bring together global researchers, academicians, and professionals to exchange ideas, share practical experiences, and discuss emerging developments in big data and smart computing. Participants will have the opportunity to build research and professional networks, explore collaborative opportunities, and strengthen international connections for future projects. Organized by Academics conference, the event is expected to contribute valuable insights and advancements to contemporary scientific and technological fields covered under its scope.

Key Information

Event Status - Active

Organizer - Academics Conference

Organizing Secretary - Conference Coordinator

Conference Inquiry Email ID - papers.academicsconference@gmail.com

Important Dates

Submission Deadline - 25/01/2026

Conference Start - 14/02/2026

Conference End - 14/02/2026

Program Schedule

Physical Schedule

Timing Sessions : 

08:30 AM – 09:00 AM On-Site Check-In & Welcome Coffee

09:10 AM – 09:30 AM Inaugural Address & Conference Overview

12:00 PM – 01:00 PM Networking Lunch

03:00 PM – 03:15 PM Closing Ceremony & Awards

Major topics covered for this event

Big data analytics and social media

Big data applications / big data as a service

Big data ecosystem

Bioinformatics, multimedia, smartphones, etc.

Cloud and grid computing for big data

Crowdsourcing and human-in-the-loop

Data mining and data science

Data and information quality

Disaster analysis

Infrastructure and platform for big data and smart computing

Knowledge graph, graph data management and mining

Machine learning and AI for big data

Machine learning and AI theory and fundamentals

Mobile communications and smart location-based services

Recommender systems

Search/retrieval and generation of big data

Security and privacy for big data

Smart computing models, tools, and devices

Techniques, models and algorithms for big data

Tools and systems for big data

Understanding multi-modal data

Techniques, models, and algorithms for big data

Tools and systems for big data

Machine learning and AI for big data

Data mining, graph mining, and data science

Web search and information retrieval

Infrastructure and platform for smart computing

Models and tools for smart computing

Big data analytics and social media

Cloud and grid computing for big data