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Hybrid Event

11th - 12th June 2026 | Dhaka, Bangladesh

International Conference on Statistical Techniques for Machine Learning and AI (ICSTMMLA - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICSTMMLA) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Statistics,Data Science, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

01
Machine learning algorithms for statistical analysis
02
Statistical techniques in AI model evaluation
03
Feature selection methods in machine learning
04
Statistical learning theory applications
05
Data preprocessing for machine learning models
06
Ensemble methods in statistical learning
07
Deep learning and statistical inference
08
Bayesian statistics in AI applications
09
Statistical methods for big data analytics
10
Interpretability of machine learning models
11
Statistical challenges in AI deployment
12
Reinforcement learning and statistical methods
13
Statistical evaluation of AI systems
14
Transfer learning in statistical contexts
15
Statistical methods for time series analysis
16
Unsupervised learning and statistical techniques
17
Statistical issues in data privacy
18
Statistical frameworks for AI ethics
19
Applications of statistics in natural language processing
20
Statistical modeling of complex systems

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

Submit Your Paper Today Register Early
2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.