Computational Intelligence and Modeling Research Group

Description

Process modeling using artificial intelligence and machine learning algorithms, designing and implementing computer systems and cyber-physical systems. Utilizing optimization methods to solve engineering problems, including in the analysis and segmentation of microstructure images using convolutional networks. Numerical methods for modeling materials and processes, including digital process twins. High-performance stochastic models for predicting the microstructure of metallic materials and modeling electron and positron diffraction. NLP tools and ontologies for concept identification in technical language. Optimization methods for mechanical properties of materials.

Laboratories:

Computer labs

Projects:

Stochastic model of microstructure development and properties of metals subjected to thermo-mechanical processing (2017/25/B/ST8/01823)

Development of nondestructive online investigation system with software controlling high frequency induction welding machine on the basis of an analysis of linear weld mechanical properties (POIR.01.02.00-00-0091/19-00)

Intelligent, adaptive quality control and production optimization system for precision assembly systems based on artificial intelligence and augmented reality, ADAPTSYS (POIR.01.01.01-00-0031/21-00)

Prediction of Hg and As distribution in the combustion process of bituminous and lignite coals in pulverized boilers and flue gas cleaning using regression models and neural networks (LIDER/33/0183/L-10/NCBR/2019)

Cooperation:

Lodz University of Technology, Department of Material Technologies and Production Systems

TUBAF Bergakademie Freiberg, Institute of Metal Forming

Diagnostyka S.A.

Clinical Pulmonology Department of the University Hospital in Krakow

Polish Society of Surgical Oncology

Arcelor Mittal Poland

CMC

StalProdukt

Konstruktion

Vesuvius

Alventa

Diagnostyka S. A.

MiViA Gmbh

Virtline

GE Aviation

Cognizant/Mobica

ACMiN AGH

RWTH Aachen

Contact

12 617 41 31

Leading unit

Faculty of Metals Engineering and Industrial Computer Science - Department of Applied Computer Science and Modelling

Team leader

Regulski Krzysztof

Team members

Szeliga Danuta
Rauch Łukasz
Kusiak Jan
Pietrzyk Maciej
Banaś Krzysztof
Mitura Zbigniew
Pernach Monika
Wilk-Kołodziejczyk Dorota
Macioł Piotr
Bzowski Krzysztof
Opaliński Andrzej
Sztangret Łukasz
Wilkus Marek
Hajder Piotr
Nadolski Rafał
Jędrysik Wojciech
Jażdżewski Tomasz
Hallo Filip
Marcjan Łukasz
Kokosza Łukasz
Gajoch Sandra
Foryś Jakub

IDUB research areas

Intelligent information, telecommunication, computer, and control and operation technologies

Keywords

artificial intelligencemachine learningprocess modelingcyberphysical systemssoftware architecturesoptimizationmicrostructure recognition and segmentationnumerical methodsdigital twinsmultiscale stochastic numerical modelsmaterials properties modeling and optimizationapplication of NLP toolsontologies