SMTDA 2022

7th Stochastic Modeling Techniques and Data Analysis International Conference and Demographics 2022 Workshop


Next ASMDA2023, 6 - 9 June 2023, Heraklion, Crete, Greece                                                                                                                               
SMTDA2022 Conference Program with links to connect to Webex System

SMTDA2022 - Conference Program-1a  The Updated Program to Open and Download to see and apply links
SMTDA 2022 and
Demographics 2022
Tuesday 7-Friday 10 June 2022

Michalakopoulou 25, Athens, 11528, Greece Tel.+30 2107244051

After the successful Virtual Conferences SMTDA2020 and ASMDA2021 we proceed in announcing the SMTDA2022 International Conference and Demographics2022 Workshop In-Person and Virtual form to take place in Athens Greece.

Following the two-year experience, coping with the Covid-19, we are ready to organize the 2022 event including people who would like to attend a classical scientific event in-person while visiting Athens in the best time of the year or follow the virtual event.
Registration and ABSTRACT and PAPER Submissions


3rd Stream of Abstract and Paper submissions are welcomed by using this website tools.

Please submit your abstract, special session or workshop by:

March 30, 2022.

 Abstracts, Special Sessions or Workshops should be sent to

AFTER the Deadline send your Abstract as LATE Submission

or by the electronic submission system in the next page

The deadline for full papers (after the conference) is July 10, 2022


Further information at:



Conference Topics

The Stochastic Modeling Techniques and Data Analysis International Conference (SMTDA) main objective is to welcome papers, both theoretical or practical, presenting new techniques and methodologies in the broad area of stochastic modeling and data analysis. An objective is to use the methods proposed for solving real life problems by analyzing the relevant data. Also, the use of recent advances in different fields will be promoted such as for example, new optimization and statistical methods, data warehouse, data mining and knowledge systems, computing-aided decision supports and neural computing.

Particular attention will be given to interesting applications in engineering, productions and services (maintenance, reliability, planning and control, quality control, finance, insurance, management and administration, inventory and logistics, marketing, environment, human resources, biotechnology, medicine, ...).

Methodological approaches

  • Poisson, Markov, semi-Markov processes,
  • Point processes,
  • Martingales, Stochastic calculus,
  • Random evolutions,
  • Decision and Controlled Processes,
  • Diffusion and Poisson approximations,
  • Asymptotic models and Weak Convergences,
  • Statistical inference for Stochastic processes ,
  • Hidden Markov and semi-Markov processes,
  • Fitting models for data,
  • Reliability and survival analysis,
  • Bayesian inference,
  • Functional data analysis,
  • Discriminant and Regression Analysis,
  • Mixture model and Probabilistic approach to Clustering,
  • Analysis of complex data (incomplete, censored, missing, spatio-temporal, imprecise, fuzzy,...),
  • Theories of uncertainty,
  • Graphical models and Bayesian networks,
  • Multidimensional Scaling and Multi-way Data Analysis,
  • Sensory Analysis,
  • Classification and Documentation,
  • Data and Text Mining,
  • Chaotic and Stochastic processes,
  • Analysis of Chaotic processes.

Special techniques and algorithms:

  • Neural Networks,
  • Genetic and Fuzzy Algorithms,
  • Support Vector Machine,
  • Monte Carlo Methods,
  • Chaotic Simulation.

The Conference includes five types of presentations

  • Key Note Speakers on the main topics of the Symposium selected by the Scientific Program Committee;
  • Contributed papers proposed by authors;
  • Poster presentations; 
  • Special Sessions proposed;
  • Workshops proposed