Hybrid Conference (In Person / Virtual)

International Conference on Probabilistic Approaches in Mathematical Modeling (ICPAMM - 27)
3rd - 4th March 2027 , Sofia, Bulgaria
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Call For Papers

The ICPAMM 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 Mathematical Modeling, encouraging participation from emerging researchers and fostering academic growth.

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

01
Probabilistic models in mathematical applications
02
Stochastic processes in mathematical modeling
03
Bayesian approaches to model uncertainty
04
Probabilistic risk assessment techniques
05
Mathematical modeling of random phenomena
06
Statistical inference in probabilistic models
07
Markov models in mathematical applications
08
Probabilistic modeling in finance and economics
09
Applications of probability theory in modeling
10
Mathematical modeling of queueing systems
11
Monte Carlo methods in probabilistic modeling
12
Probabilistic graphical models for data analysis
13
Mathematical approaches to reliability under uncertainty
14
Probabilistic modeling in environmental sciences
15
Statistical methods for probabilistic forecasting
16
Modeling complex systems with probabilistic methods
17
Mathematical modeling of risk in decision-making
18
Applications of stochastic calculus in modeling
19
Probabilistic models in machine learning
20
Interdisciplinary approaches to probabilistic modeling

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.