StochMod 2024 : 8th Meeting of the EURO Working Group on Stochastic Modelling
StochMod 2024 : 8th Meeting of the EURO Working Group on Stochastic Modelling

StochMod 2024 : 8th Meeting of the EURO Working Group on Stochastic Modelling

Milan, Italy
Event Date: July 05, 2024 - July 07, 2024
Submission Deadline: February 16, 2024
Notification of Acceptance: March 31, 2024
Camera Ready Version Due: April 30, 2024

Call for Papers

The scope of the STOCHMOD 2024 meeting includes both theoretical advances in stochastic modelling techniques and relevant applications.

The contribution may lie in the formulation of new stochastic models, in the development of new analytical methods, or in the innovative application of existing models and methods.


Theoretical research topics include but are not restricted to stochastic modelling and methods in:
Markov decision processes
Stochastic processes
Robust and multicriteria decision making
Queueing theory
Machine learning and data science
Game theory and behavior theory
Stochastic programming
Approximation, heuristic and asymptotic methods

in the following applications:
Service operations, such as healthcare systems and contact centres
Business innovations, such as sharing economy and online market places
Social networks and communications systems
Biometrics, epidemiology and medical decision making
Supply chains and manufacturing/production systems
Logistics and transportation
Revenue management and pricing
Routing, scheduling and resource allocation
Economics, financial markets and risk management
Energy systems
Business and marketing analytics
Humanitarian and non-for-profit projects

The conference will be held at: Politecnico di Milano, Via Raffaele Lambruschini 4, 20156 Milano, Italy

Founded in 1982 on the basis of the Institute of Mechanical Engineering and of Construction of Machinery, born in 1951, the Department of Mechanical Engineering is one of the foremost departments of the Politecnico di Milano. Actually, mechanical engineering represents one of the main disciplines as for learning, research, cooperation and exchange with the surrounding area and the industrial sector since the establishment of the Politecnico di Milano. That is the main reason for the Department excellent reputation in its academic context and in the scientific, industrial, national and international one. The mission of the Department of Mechanical Engineering is to promote and develop culture, research and innovation in its sectors of reference, but also in new fields doomed to become more and more important in society and in our present background. For example, it specifically deals with transports and sustainable mobility, power technologies, biomechanics and service robotics, bio materials, smart materials and hybrid materials, manufacturing and production systems, space and security.


StochMod 2024 : 8th Meeting of the EURO Working Group on Stochastic Modelling will take place in Milan, Italy. It’s a 3 days event starting on Jul 5, 2024 (Friday) and will be winded up on Jul 7, 2024 (Sunday).

StochMod 2024 falls under the following areas: STOCHASTIC PROCESSES, MACHINE LEARNING, DATA SCIENCE, MARKOV DECISION PROCESSES, etc. Submissions for this Workshop can be made by Feb 16, 2024. Authors can expect the result of submission by Mar 31, 2024. Upon acceptance, authors should submit the final version of the manuscript on or before Apr 30, 2024 to the official website of the Workshop.

Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines.

Other Details of the StochMod 2024

  • Short Name: StochMod 2024
  • Full Name: 8th Meeting of the EURO Working Group on Stochastic Modelling
  • Timing: 09:00 AM-06:00 PM (expected)
  • Fees: Check the official website of StochMod 2024
  • Event Type: Workshop
  • Website Link:
  • Location/Address: Milan, Italy

Credits and Sources

[1] StochMod 2024 : 8th Meeting of the EURO Working Group on Stochastic Modelling

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