On-location / Digital Conference

International Conference on Stochastic Processes and Probabilistic Modeling (ICSPPM-27)

11th - 12th Jan 2027,Yokohama, Japan

In Association With:

Call for Paper


Important Dates


Early Bird Registration

12th Dec 2026

Paper Submission Deadline

17th December 2026

Registration Deadline

27th December 2026

Conference Date

11th - 12th Jan 2027

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  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Yokohama conference.
  • Peer Review Process:
    The peer review process will begin soon for Yokohama conference.
  • Networking with Global Experts:
    Join global experts at our conference in Yokohama.
  • Opportunity for Scopus-Indexed Journal Publication:
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  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Call For Papers

The ICSPPM bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Stochastic Processes and Probabilistic Modeling, encouraging applied research, case studies, and industry-driven innovations.

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

  • Stochastic processes in applied mathematics
  • Probabilistic modeling in engineering
  • Applications of stochastic methods in finance
  • Markov processes and their applications
  • Stochastic simulations in scientific research
  • Statistical methods for stochastic analysis
  • Stochastic modeling in environmental science
  • Applications of stochastic calculus
  • Queueing theory in operations research
  • Stochastic optimization techniques
  • Random processes in telecommunications
  • Stochastic methods in risk assessment
  • Monte Carlo methods for stochastic problems
  • Stochastic differential equations in finance
  • Applications of stochastic models in biology
  • Statistical inference for stochastic processes
  • Recent developments in stochastic modeling
  • Challenges in stochastic analysis
  • Interdisciplinary applications of stochastic methods
  • Stochastic modeling in machine learning

Assessment

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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