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Jakub Gajewski

Ph.D., D.Sc., Eng., Associate Professor

Lublin University of Technology

Poland

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Research Interests

Solid Mechanics

90%

Automotive Engineering

30%

Applied Mechanics

70%

Artificial Neural Network

40%

Construction Materials Engineering

30%

Electromechanics

20%

Vehicle Dynamics

20%

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Articles18

Proper functioning and failure occurrence of energy absorbers modelled for optimization

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Year:

2025

Application of neural networks specific forms for estimation of crushing signal parameters of multilevel structural absorbers implemented in passive safety research

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Year:

2025

Descriptive Analysis of Trauma Admission Trends before and during the COVID-19 Pandemic

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Year:

2024

Parametric Study of Girders with Sinusoidal Corrugated Web

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Year:

2024

Use of neural network based on international classification ICD-10 in patients with head and neck injuries in Lublin Province, Poland, between 2006–2018, as a predictive value of the outcomes of injury sustained

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Year:

2023

Crashworthiness Analysis of Thin-Walled Square Columns with a Hole Trigger

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Year:

2023

Evaluating Changes in Trauma Epidemiology during the COVID-19 Lockdown: Insights and Implications for Public Health and Disaster Preparedness

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Year:

2023

Analysis of the Triggering Mechanism of the Square Thin-Walled Absorber

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Year:

2023

Nonlinear analysis of cylindrical gear dynamics under varying tooth breakage

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Year:

2022

Drilling head knives degradation modelling based on stochastic diffusion processes backed up by state space models

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Year:

2022

Crashworthiness analysis of thin-walled aluminum columns filled with aluminum–silicon carbide composite foam

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Year:

2022

Identification of crashworthiness indicators of column energy absorbers with triggers in the form of cylindrical embossing on the lateral edges using artificial neural networks

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Year:

2022

The Use of Neural Networks in the Analysis of Dual Adhesive Single Lap Joints Subjected to Uniaxial Tensile Test

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Year:

2021

Verification of the technical equipment degradation method using a hybrid reinforcement learning trees–artificial neural network system

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Year:

2021

Study on the Effect of Geometrical Parameters of a Hexagonal Trigger on Energy Absorber Performance Using ANN

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Year:

2021

Prediction of load on the cutting tools in tunnel boring machines

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Year:

2020

The Effect of Geometrical Non-Linearity on the Crashworthiness of Thin-Walled Conical Energy-Absorbers

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Year:

2020

Degradation process and failure estimation of drilling system based on real data and diffusion process supported by state space models

Article Link

Year:

2020

Collaborators10

Dariusz Czerwiński

University of Technology

POLAND

Łukasz Jedliński

Lublin University of Technology

POLAND

Krzysztof Śledziewski

Lublin University of Technology

POLAND

Robert Karpiński

Lublin University of Technology

POLAND

Jakub Pawlikowski

Associate Professor

Medical University of Lublin

POLAND

Józef Jonak

Lublin University of Technology

POLAND

Miroslaw Ferdynus

Lublin University of Technology

POLAND

Zdenek Vintr

professor

University of Defence

CZECH REPUBLIC

Przemysław Krakowski

Medical University of Lublin

POLAND

Katarzyna Gawdzińska

Professor

Maritime University of Szczecin

POLAND

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