KomPlasTech &NeuroMet 2027
XXX Conference on Computer Methods in Materials Technology
XXIX Conference on the Application of Artificial Intelligence in the Simulation and Control of Metallurgical Processes
Two established series, one joint conference



KomPlasTech was founded in 1993 in Kraków by Professors Maciej Pietrzyk (AGH) and Antoni Piela (Silesian University of Technology) as a national conference on computer methods in metals technology. In the early 2000s its scope widened to all materials and the meeting became international, beginning with the 2007 edition in Zakopane. It brings together researchers in computer methods and materials science with industrial partners, to exchange information and experience on numerical modelling across scales — macro, meso, micro and nano. The 2027 meeting is the thirtieth in the series.
NeuroMet, organised by the Department of Applied Computer Science and Modelling at the Faculty of Metals Engineering and Industrial Computer Science (WIMiIP), is a platform for exchanging experience in applying artificial intelligence to the simulation and control of metallurgical processes. Its programme spans machine learning, Industry 4.0, data analysis and optimisation, physics-informed neural networks and large language models.
The conference is as much a meeting place for companies as for academia: a forum where researchers and industry partners exchange ideas, knowledge and experience on the complex problems of materials processing — putting numerical modelling and artificial intelligence in the same room, where they increasingly belong.

Conference topics
The joint programme spans the full scope of the KomPlasTech series, with the NeuroMet stream focused on artificial intelligence and machine learning in the simulation and control of metallurgical processes.
- New computational techniques for modelling in control
- Numerical simulations of casting, semi-solid forming, thixoforming, metal forming and heat treatment
- Numerical simulations of heat transfer, microstructure evolution, phase transformations, diffusion and prediction of product properties
- Rheological models and application of inverse analysis to identification of model parameters
- Multiscale material models based on cellular automata, molecular dynamics, Monte Carlo and related methods
- Boundary conditions in modelling of processes in materials engineering
- Computer aided design of tools and technology in materials processing; energy-saving and environment-protecting technologies
- Artificial intelligence and machine learning in materials science and process control
- Databases and knowledge bases in materials engineering
- Digital materials, digital twins, applications of virtual and augmented reality
- Computer systems for the metallurgical and materials industry
- Data analysis and data safety in industry
Key dates
- Abstract submission
- Notification of abstract acceptance
- Early registration payment
- Conference
Organizers
The conference is organized by the team of the Faculty of Metals Engineering and Industrial Computer Science at AGH University of Krakow, the home of the KomPlasTech series since 1993.

Prof. Danuta Szeliga
Organizer
AGH University of Krakow

Prof. Łukasz Rauch
Organizer
AGH University of Krakow

Prof. Krzysztof Regulski
Organizer
AGH University of Krakow

Anna Smyk
Secretariat
AGH University of Krakow
Kraków
Hosted at AGH University of Krakow

The conference is hosted by AGH University of Krakow, the institution that founded the KomPlasTech series in 1993 and remains one of Europe’s leading centres for computational methods in materials engineering. Sessions take place on the AGH campus; the full programme and room assignments will be published with registration.

Kraków, the former royal capital of Poland, is one of the country’s oldest and most beautiful cities. Its medieval Old Town — centred on the Main Market Square, the largest of medieval Europe — together with Wawel Royal Castle was among the first sites inscribed on the UNESCO World Heritage List in 1978. Home to the Jagiellonian University, founded in 1364, the city pairs a thousand years of history with a vibrant academic and cultural life.


