Hybrid Conferencee

International Conference on IT Innovations Enabled by Big Data and ML (ICITIBDML - 26)

20th - 21st August 2026 | Hue, Vietnam
Sample Abstract
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Conference Brochure
Sample Full Paper
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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Hue. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Hue event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Hue conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Hue, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Hue."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICITIBDML aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Big Data,Machine Learning,Information Technology, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Innovations in big data and machine learning
02
Machine learning for IT process automation
03
Big data analytics for operational efficiency
04
Data-driven innovations in IT management
05
Machine learning for predictive maintenance
06
Big data applications in healthcare IT
07
Integration of big data and AI technologies
08
Real-time decision making with ML
09
Big data and machine learning ethics
10
Scalable architectures for ML applications
11
Big data impact on IT service delivery
12
Machine learning for customer insights
13
Big data-driven business intelligence solutions
14
Data quality management in ML systems
15
Machine learning for risk assessment
16
Big data visualization for IT innovations
17
Collaborative filtering in big data contexts
18
Machine learning for fraud detection
19
Big data strategies for IT transformation
20
Future trends in big data and ML