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

A Sensor-Aided System for Physical Perfect Control Applications in the Continuous-Time Domain. - Pawel Majewski; Wojciech P. Hunek; Dawid Pawus; Krzysztof Szurpicki; Tomasz Wojtala (Sensors, 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)