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Contact:
Room: 517
Position:
Assistant Professor
Research teams:
Nowe systemy głębokiego uczenia i ich zastosowania
Classes:
Interaktywna grafika i prezentacja danych wyk
Bezpieczeństwo sieci komputerowych lab
Bezpieczeństwo sieci komputerowych wyk
Algorytmy ewolucyjne i strategie przeszukiwań lab
Algorytmy ewolucyjne i strategie przeszukiwań wyk
Administrowanie internetowymi serwerami baz danych lab
Administrowanie internetowymi serwerami baz danych wyk
Zarządzanie infrastrukturą sieci komputerowych lab
Zarządzanie infrastrukturą sieci komputerowych 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 (42)

2021 (23)

Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, 2021, Cites: 2

2020 (2)

A new auto adaptive fuzzy hybrid particle swarm optimization and genetic algorithm
Piotr Dziwiński and Łukasz Bartczuk and Józef Paszkowski, A new auto adaptive fuzzy hybrid particle swarm optimization and genetic algorithm, 2020, Cites: 14
Nonlinear Fuzzy Modelling of Dynamic Objects with Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm
Łukasz Bartczuk and Piotr Dziwiński and Piotr Goetzen, Nonlinear Fuzzy Modelling of Dynamic Objects with Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm, Springer, Cham, 315-325, 2020, Cites: 1

2019 (2)

A new hybrid particle swarm optimization and evolutionary algorithm
Piotr Dziwiński and Łukasz Bartczuk and Piotr Goetzen, A new hybrid particle swarm optimization and evolutionary algorithm, Springer, Cham, 432-444, 2019, Cites: 4
A New Hybrid Particle Swarm Optimization and Genetic Algorithm Method Controlled by Fuzzy Logic
Piotr Dziwiński and Łukasz Bartczuk, A New Hybrid Particle Swarm Optimization and Genetic Algorithm Method Controlled by Fuzzy Logic, IEEE, 2019, Cites: 39

2018 (2)

A population based algorithm and fuzzy decision trees for nonlinear modeling
Piotr Dziwiński and Łukasz Bartczuk and Krzysztof Przybyszewski, A population based algorithm and fuzzy decision trees for nonlinear modeling, Springer, Cham, 516-531, 2018, Cites: 4
Symbolic Regression with the AMSTA+ GP in a Non-linear Modelling of Dynamic Objects
Łukasz Bartczuk and Piotr Dziwiński and Andrzej Cader, Symbolic Regression with the AMSTA+ GP in a Non-linear Modelling of Dynamic Objects, Springer, Cham, 504-515, 2018, Cites: 0

2017 (2)

A method for non-linear modelling based on the capabilities of PSO and GA algorithms
Piotr Dziwiński and Łukasz Bartczuk and Huang Tingwen, A method for non-linear modelling based on the capabilities of PSO and GA algorithms, Springer, Cham, 221-232, 2017, Cites: 5
The concept on nonlinear modelling of dynamic objects based on state transition algorithm and genetic programming
Łukasz Bartczuk and Piotr Dziwiński and Vladimir G Red’ko, The concept on nonlinear modelling of dynamic objects based on state transition algorithm and genetic programming, Springer, Cham, 209-220, 2017, Cites: 10

2016 (2)

A new approach for using the fuzzy decision trees for the detection of the significant operating points in the nonlinear modeling
Piotr Dziwiński and Eduard D Avedyan, A new approach for using the fuzzy decision trees for the detection of the significant operating points in the nonlinear modeling, Springer, Cham, 279-292, 2016, Cites: 6
A new method of the intelligent modeling of the nonlinear dynamic objects with fuzzy detection of the operating points
Piotr Dziwiński and Eduard D Avedyan, A new method of the intelligent modeling of the nonlinear dynamic objects with fuzzy detection of the operating points, Springer, Cham, 293-305, 2016, Cites: 13

2015 (1)

A new approach to nonlinear modeling based on significant operating points detection
Piotr Dziwiński and Eduard D Avedyan, A new approach to nonlinear modeling based on significant operating points detection, Springer, Cham, 364-378, 2015, Cites: 18

2014 (1)

A new algorithm for identification of significant operating points using swarm intelligence
Piotr Dziwiński and Łukasz Bartczuk and Andrzej Przybył and Eduard D Avedyan, A new algorithm for identification of significant operating points using swarm intelligence, Springer, Cham, 349-362, 2014, Cites: 32

2013 (1)

Hybrid state variables-fuzzy logic modelling of nonlinear objects
Łukasz Bartczuk and Andrzej Przybył and Piotr Dziwiński, Hybrid state variables-fuzzy logic modelling of nonlinear objects, Springer, Berlin, Heidelberg, 227-234, 2013, Cites: 19

2012 (2)

Fully controllable ant colony system for text data clustering
Piotr Dziwiński and Łukasz Bartczuk and Janusz T Starczewski, Fully controllable ant colony system for text data clustering, Springer, Berlin, Heidelberg, 199-205, 2012, Cites: 26
A new method for dealing with unbalanced linguistic term set
Łukasz Bartczuk and Piotr Dziwiński and Janusz T Starczewski, A new method for dealing with unbalanced linguistic term set, Springer, Berlin, Heidelberg, 207-212, 2012, Cites: 25

2010 (3)

New method for generation type-2 fuzzy partition for FDT
Łukasz Bartczuk and Piotr Dziwiński and Janusz T Starczewski, New method for generation type-2 fuzzy partition for FDT, Springer, Berlin, Heidelberg, 275-280, 2010, Cites: 17
New linguistic hedges in construction of interval type-2 FLS
Piotr Dziwiński and Janusz T Starczewski and Łukasz Bartczuk, New linguistic hedges in construction of interval type-2 FLS, Springer, Berlin, Heidelberg, 445-450, 2010, Cites: 15
Learning methods for type-2 FLS based on FCM
Janusz T Starczewski and Łukasz Bartczuk and Piotr Dziwiński and Antonino Marvuglia, Learning methods for type-2 FLS based on FCM, Springer, Berlin, Heidelberg, 224-231, 2010, Cites: 21

2008 (1)

Ant focused crawling algorithm
Piotr Dziwiński and Danuta Rutkowska, Ant focused crawling algorithm, Springer, Berlin, Heidelberg, 1018-1028, 2008, Cites: 19

Schedule