Hybrid Conference (In Person / Virtual)

International Conference on Monte Carlo Methods and Stochastic Simulation (ICMCMSS - 27)
11th - 12th February 2027 , Lublin, Poland
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Conference Notifications:

"Be sure to check this section regularly for all IIRD Global Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

  • Abstract Submissions Open:
    "We are now accepting abstract submissions for the IIRD Global Conference in Lublin. Submit your abstract by today to be part of this exciting international event." Call for Abstracts – Submit Now!
  • Paper Submission Guidelines:
    "Please ensure your paper follows the submission guidelines for smooth processing. Visit our paper submission page for more details."
  • Peer Review Process:
    "The peer review process will begin soon. Authors will receive valuable feedback that will help enhance their presentations for the Lublin conference."
  • Networking with Global Experts:
    "Join global experts at our conference in Lublin and engage in meaningful conversations. Build relationships that last." Register now to join!
  • Best Paper Presentation Award:
    Dr. Shatha Hawarna from Hamdan Bin Mohammed Smart University received the Best Paper Presentation Award at (ICBAI-25) in Bangkok, Thailand.
  • SDG-Inspired Conference Focus:
    "The conference will explore themes related to sustainability and inclusive development, with an emphasis on research that contributes to global well-being."

Call For Papers

The ICMCMSS provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Probability Theory, Statistics, encouraging participation from emerging researchers and fostering academic growth.

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

01
Monte Carlo methods in finance applications
02
Stochastic simulation techniques for modeling
03
Applications of Monte Carlo in engineering
04
Variance reduction techniques in simulations
05
Bayesian Monte Carlo methods
06
Parallel computing for Monte Carlo simulations
07
Monte Carlo methods in risk assessment
08
Statistical convergence in Monte Carlo methods
09
Real-world applications of stochastic simulations
10
Advanced algorithms for Monte Carlo methods
11
Monte Carlo techniques in healthcare research
12
Comparative studies of simulation methods
13
Machine learning and Monte Carlo methods
14
Statistical challenges in stochastic simulations
15
Applications of Monte Carlo in environmental studies
16
Future directions in Monte Carlo research
17
Ethical implications of simulation studies
18
Case studies using Monte Carlo methods
19
Probabilistic modeling with Monte Carlo techniques
20
Integration of Monte Carlo with other methods

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

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