Augmented Reality of Technological Environment in Correlation with Brain Computer Interfaces for Control Processes. - Szczepan Paszkiel (Recent Advances in Automation, Robotics and Measuring Techniques, 2014)

Project and Simulation of a Portable Device for Measuring Bioelectrical Signals from the Brain for States Consciousness Verification with Visualization on LEDs. - Szczepan Paszkiel; Wojciech P. Hunek; Andrew Shylenko (AUTOMATION, 2016)

Control Based on Brain-Bomputer Interface Technology for Video-Gaming With Virtual Reality Techniques. - Szczepan Paszkiel (J. Autom. Mob. Robotics Intell. Syst., 2016)

Characteristics of Question of Blind Source Separation Using Moore-Penrose Pseudoinversion for Reconstruction of EEG Signal. - Szczepan Paszkiel (AUTOMATION, 2017)

Detection of gestures without begin and end markers by fitting into Bézier curves with least squares method. - Michal Slapek; Szczepan Paszkiel (Pattern Recognit. Lett., 2017)

Methods of Acquisition, Archiving and Biomedical Data Analysis of Brain Functioning. - Szczepan Paszkiel; Piotr Szpulak (IC BCI, 2018)

Using the Raspberry PI2 Module and the Brain-Computer Technology for Controlling a Mobile Vehicle. - Szczepan Paszkiel (AUTOMATION, 2019)

The Use of Brain-Computer Interface to Control Unmanned Aerial Vehicle. - Szczepan Paszkiel; Mariusz Sikora (AUTOMATION, 2019)

Using a WebSocket Server and the JSON Format to Transmit Data for the Purposes of Implementing the Brain-Computer Technology. - Szczepan Paszkiel (AUTOMATION, 2020)

The Use of Facial Expressions Identified from the Level of the EEG Signal for Controlling a Mobile Vehicle Based on a State Machine. - Szczepan Paszkiel (AUTOMATION, 2020)

Analysis and Classification of EEG Signals for Brain-Computer Interfaces - Szczepan Paszkiel (Springer, 2020)

The Use of Multilayer ConvNets for the Purposes of Motor Imagery Classification. - Szczepan Paszkiel; Pawel Dobrakowski (AUTOMATION, 2021)

Using EEG Based Brain-Computer Interface to Control Actions in Applications - The Way to Provide New Possibilities for Disabled People. - Mateusz Adamczyk; Szczepan Paszkiel (IC BCI, 2021)

Subannual, Seasonal and Interannual Variability of Data on Residential Construction Market - Case Study for Poland. - Lukasz Mach; Szczepan Paszkiel; Michal Grubiak (IC BCI, 2021)

Influence of Program Architecture on Software Quality Attributes. - Rafal Mzyk; Szczepan Paszkiel (IC BCI, 2021)

EEG Analysis and Neurofeedback Therapy of Concentration Problems in Mother and Child. - Magda Zolubak; Szczepan Paszkiel (IC BCI, 2021)

Using Brain-Computer Interface Technology for Modeling 3D Objects in Blender Software. - Mateusz Zajac; Szczepan Paszkiel (J. Autom. Mob. Robotics Intell. Syst., 2021)

The use of the Emotiv Epoc Flex kit in applications involving artificial intelligence. - Dawid Pawus; Szczepan Paszkiel (ITTAP, 2023)

Research Towards an Optimal Method of Modeling and Regulating a Cement Mill Using AI Algorithms. - Dawid Pawus; Szczepan Paszkiel (AUTOMATION, 2024)

Comparison of artificial intelligence algorithms and expert approach in risk classification in nephrology. - Dawid Pawus; Szczepan Paszkiel; Tomasz Porazko (ITTAP, 2024)

Identification and Expert Approach to Controlling the Cement Grinding Process Using Artificial Neural Networks and Other Non-Linear Models. - Dawid Pawus; Szczepan Paszkiel (IEEE Access, 2024)

Automation and Decision Support in the Area of Nephrology Using Numerical Algorithms, Artificial Intelligence, and Expert Approach: Review of the Current State of Knowledge. - Dawid Pawus; Tomasz Porazko; Szczepan Paszkiel (IEEE Access, 2024)

Expert system supporting automatic risk classification and management in idiopathic membranous nephropathy based on rule sets and machine learning. - Dawid Pawus; Szczepan Paszkiel; Tomasz Porazko (Biomed. Signal Process. Control., 2025)

Automated biomedical measurements analysis: Innovative models based on machine learning for predicting laboratory results in nephrology. - Dawid Pawus; Tomasz Porazko; Szczepan Paszkiel (Expert Syst. Appl., 2025)