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Call for Paper

The ICSL-SM emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Probability Theory,Statistics are explored to promote cross-domain knowledge exchange and collaborative innovation.

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

All submissions will undergo peer review to ensure quality and interdisciplinary relevance.

Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

👉 Register Now

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.

👉 Submit Your Research Work

Event Highlights

  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

Contact Us

    Have questions about submission, registration, or publication? We’re happy to help.

  • Email: [email protected]
  • Phone:+91 9940952512

We look forward to your participation and contribution to the ASPHER Conference.