Hybrid Conferencee

International Conference on Machine Learning and Big Data Analytics (ICMLBDA - 26)

16th - 17th September 2026 | Chhatak Upazila, Bangladesh

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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 Chhatak Upazila. 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 Chhatak Upazila 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 Chhatak Upazila conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Chhatak Upazila, 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 Chhatak Upazila."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICMLBDA 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, 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
Machine learning algorithms for big data
02
Deep learning applications in big data
03
Big data preprocessing techniques
04
Real-time machine learning for big data
05
Scalable machine learning frameworks
06
Big data analytics for predictive modeling
07
Data mining techniques in machine learning
08
Big data applications in natural language processing
09
Reinforcement learning with big data
10
Big data visualization for machine learning results
11
Ethics of machine learning in big data
12
Big data challenges in machine learning
13
Transfer learning in big data contexts
14
Big data and AI model interpretability
15
Big data applications in image recognition
16
Machine learning for big data security
17
Big data analytics for time series forecasting
18
Future directions in machine learning and big data
19
Big data in automated decision making
20
Collaborative filtering with big data