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Contact:
Room: 517

Position:
Assistant Professor

Research teams:
Nowe systemy głębokiego uczenia i ich zastosowania

Classes:
Paradygmaty programowania lab
Zastosowanie sztucznej inteligencji w urządzeniach mobilnych lab
Zastosowanie sztucznej inteligencji w urządzeniach mobilnych wyk
Interaktywna grafika i prezentacja danych wyk
Interaktywna grafika i prezentacja danych lab
Evolutionary algorithms & search strategies proj
Evolutionary algorithms & search strategies lab
Evolutionary algorithms & search strategies wyk
Administrowanie internetowymi serwerami baz danych lab
Administrowanie internetowymi serwerami baz danych wyk
Bezpieczeństwo sieci komputerowych lab
Bezpieczeństwo sieci komputerowych wyk
Algorytmy ewolucyjne i strategie przeszukiwań lab
Algorytmy ewolucyjne i strategie przeszukiwań wyk
PhD Eng Piotr Dziwiński
Office hours: Poniedziałek 10:00 - 12:00 (pok. 517 lub zdalnie przy użyciu BBB)

Urodził się w Zawierciu (woj. Śląskie) w 1978 roku. W latach 1998-2003 studiował na Wydziale Inżynierii Mechanicznej i Informatyki Politechniki Częstochowskiej na kierunku Informatyka uzyskując stopień magistra inżyniera w 2003 roku. W październiku 2003 roku rozpoczął studia doktoranckie w dyscyplinie informatyka uzyskując tytuł naukowy doktora nauk technicznych w dyscyplinie informatyka w roku 2008. Od 1 września 2008 jest zatrudniony na stanowisku adiunkta w Katedrze Inteligentnych Systemów Informatycznych na Wydziale Inżynierii Mechanicznej i Informatyki Politechniki Częstochowskiej. Prywatnie, jak również zawodowo jest pasjonatem programowania, sztucznej inteligencji, w szczególności algorytmów czerpiących inspirację z tzw. kolektywnej inteligencji.

Zainteresowania naukowe:

  • algorytmy mrówkowe,
  • algorytmy bazujące na kolektywnej inteligencji,
  • algorytmy hybrydowe bazujące na PSO,
  • systemy rozmyte i neuronowo-rozmyte,
  • sztuczne sieci neuronowe,
  • modelowanie nieliniowe,
  • sprzętowa implementacja systemów neuronowo-rozmytych.

 

Papers (24)

2023 (1)

A New Hybrid Particle Swarm Optimization and Evolutionary Algorithm with Self-Adaptation Mechanism
Dziwinski P., Bartczuk L., A New Hybrid Particle Swarm Optimization and Evolutionary Algorithm with Self-Adaptation Mechanism, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14125 LNAI, 14125 LNAI, 363-374, 2023, Cites: 0

2022 (2)

Efficient Lightweight Multimodel Deep Fusion Based on ECG for Arrhythmia Classification
Hammad M., Meshoul S., Dziwinski P., Plawiak P., Elgendy I.A., Efficient Lightweight Multimodel Deep Fusion Based on ECG for Arrhythmia Classification, Sensors, 22, 22, 2022, Cites: 10
Fast Estimation of Multidimensional Regression Functions
Galkowski T., Krzyzak A., Dziwinski P., Fast Estimation of Multidimensional Regression Functions, 2022 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022, 211-216, 2022, Cites: 1

2021 (1)

Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
Dziwinski P., Przybyl A., Trippner P., Paszkowski J., Hayashi Y., Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, Journal of Artificial Intelligence and Soft Computing Research, 11, 11, 243-266, 2021, Cites: 10

2020 (3)

A New Auto Adaptive Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm
Dziwinski P., Bartczuk L., Paszkowski J., A New Auto Adaptive Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 95-111, 2020, Cites: 18
A New Hybrid Particle Swarm Optimization and Genetic Algorithm Method Controlled by Fuzzy Logic
Dziwinski P., Bartczuk L., A New Hybrid Particle Swarm Optimization and Genetic Algorithm Method Controlled by Fuzzy Logic, IEEE Transactions on Fuzzy Systems, 28, 28, 1140-1154, 2020, Cites: 74
Nonlinear Fuzzy Modelling of Dynamic Objects with Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm
Bartczuk L., Dziwinski P., Goetzen P., Nonlinear Fuzzy Modelling of Dynamic Objects with Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12415 LNAI, 12415 LNAI, 315-325, 2020, Cites: 1

2019 (1)

A New Hybrid Particle Swarm Optimization and Evolutionary Algorithm
Dziwinski P., Bartczuk L., Goetzen P., A New Hybrid Particle Swarm Optimization and Evolutionary Algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11508 LNAI, 11508 LNAI, 432-444, 2019, Cites: 6

2018 (2)

A population based algorithm and fuzzy decision trees for nonlinear modeling
Dziwinski P., Bartczuk L., Przybyszewski K., A population based algorithm and fuzzy decision trees for nonlinear modeling, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 516-531, 2018, Cites: 4
Symbolic regression with the AMSTA+GP in a non-linear modelling of dynamic objects
Bartczuk L., Dziwinski P., Cader A., Symbolic regression with the AMSTA+GP in a non-linear modelling of dynamic objects, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 504-515, 2018, Cites: 0

2017 (2)

The concept on nonlinear modelling of dynamic objects based on state transition algorithm and genetic programming
Bartczuk L., Dziwinski P., Red'Ko V.G., The concept on nonlinear modelling of dynamic objects based on state transition algorithm and genetic programming, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 209-220, 2017, Cites: 6
A method for non-linear modelling based on the capabilities of PSO and GA algorithms
Dziwinski P., Bartczuk L., Tingwen H., A method for non-linear modelling based on the capabilities of PSO and GA algorithms, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 221-232, 2017, Cites: 5

2016 (2)

A new method of the intelligent modeling of the nonlinear dynamic objects with fuzzy detection of the operating points
Dziwinski P., Avedyan E.D., A new method of the intelligent modeling of the nonlinear dynamic objects with fuzzy detection of the operating points, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 293-305, 2016, Cites: 15
A new approach for using the fuzzy decision trees for the detection of the significant operating points in the nonlinear modeling
Dziwinski P., Avedyan E.D., A new approach for using the fuzzy decision trees for the detection of the significant operating points in the nonlinear modeling, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 279-292, 2016, Cites: 6

2015 (1)

A new approach to nonlinear modeling based on significant operating points detection
Dziwinski P., Avedyan E.D., A new approach to nonlinear modeling based on significant operating points detection, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9120, 9120, 364-378, 2015, Cites: 18

2014 (1)

A new algorithm for identification of significant operating points using swarm intelligence
Dziwinski P., Bartczuk L., Przybyl A., Avedyan E.D., A new algorithm for identification of significant operating points using swarm intelligence, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8468 LNAI, 8468 LNAI, 349-362, 2014, Cites: 32

2013 (1)

Hybrid state variables - Fuzzy logic modelling of nonlinear objects
Bartczuk L., Przybyl A., Dziwinski P., Hybrid state variables - Fuzzy logic modelling of nonlinear objects, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7894 LNAI, 7894 LNAI, 227-234, 2013, Cites: 19

2012 (2)

Fully controllable ant colony system for text data clustering
Dziwinski P., Bartczuk L., Starczewski J.T., Fully controllable ant colony system for text data clustering, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7269 LNCS, 7269 LNCS, 199-205, 2012, Cites: 26
A new method for dealing with unbalanced linguistic term set
Bartczuk L., Dziwinski P., Starczewski J.T., A new method for dealing with unbalanced linguistic term set, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7267 LNAI, 7267 LNAI, 207-212, 2012, Cites: 27

2010 (3)

Learning methods for type-2 FLS based on FCM
Starczewski J.T., Bartczuk L., Dziwinski P., Marvuglia A., Learning methods for type-2 FLS based on FCM, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 224-231, 2010, Cites: 20
New method for generation type-2 fuzzy partition for FDT
Bartczuk L., Dziwinski P., Starczewski J.T., New method for generation type-2 fuzzy partition for FDT, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 275-280, 2010, Cites: 16
New linguistic hedges in construction of interval type-2 FLS
Dziwinski P., Starczewski J.T., Bartczuk L., New linguistic hedges in construction of interval type-2 FLS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6114 LNAI, 6114 LNAI, 445-450, 2010, Cites: 14

2008 (1)

Ant focused crawling algorithm
Dziwinski P., Rutkowska D., Ant focused crawling algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 1018-1028, 2008, Cites: 14

2006 (1)

Algorithm for generating fuzzy rules for WWW document classification
Dziwinski P., Rutkowska D., Algorithm for generating fuzzy rules for WWW document classification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4029 LNAI, 4029 LNAI, 1111-1119, 2006, Cites: 17

Schedule