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Hybrid Event

5th - 6th August 2026 | Seeb, Oman

International Conference on Statistical Learning and Stochastic Methods (ICSL-SM - 26)

4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICSL-SM) 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 Probability Theory,Statistics, 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
Stochastic methods in machine learning
02
Statistical learning for dynamic systems
03
Stochastic modeling in data science
04
Applications of stochastic methods in finance
05
Statistical learning in time series forecasting
06
Stochastic methods for optimization problems
07
Statistical learning in computer vision
08
Stochastic modeling in healthcare systems
09
Applications of stochastic methods in engineering
10
Statistical learning for anomaly detection
11
Stochastic processes in artificial intelligence
12
Statistical learning in social sciences
13
Stochastic methods for risk management
14
Statistical learning in environmental modeling
15
Stochastic modeling in telecommunications
16
Applications of stochastic methods in logistics
17
Statistical learning for user behavior analysis
18
Stochastic methods in operations research
19
Statistical learning in energy systems
20
Stochastic modeling in supply chain optimization

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.

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.