AGH USTFaculty of Applied Mathematics
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ABOUT

personal details

About me

Welcome to my website. I am currently engaged in multiple projects in the field of applied Mathematics. That usually means either developing new numerical methods for differential equations or applications of machine learning into real life problems. My main interest is to bring value for industry or the end-users.
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PUBLICATIONS

PAPERS

I am mostly interested in the numerical analysis and the complexity of continuous problems. My research is mainly conducted within the Information-Based Complexity framework.

I am also interested in other practical applications of mathematics, such as data science, machine learning, deep learning, data mining, time series, parallel computation (mostly CUDA), predictive analytics, and optimization.

SORTING BY DATE
2018

The nationwide program of allergic disease prevention as an implementation of GARD guidelines in Poland

Journal of Thoracic Disease ; ISSN 2072-1439. — 2018 vol. 10 no. 9, s. 5595–5604. — Bibliogr. s. 5603–5604.

Journal Paper Filip Raciborski, Bolesław Samoliński, Edyta Krzych-Fałta, Aleksandra Grąbczewska, Filip Furman, Michał Bieszczad, Paweł Morkisz, Patrycja Witkowska, Jean Bousquet, Mariusz Gujski

The nationwide program of allergic disease prevention as an implementation of GARD guidelines in Poland

Filip Raciborski, Bolesław Samoliński, Edyta Krzych-Fałta, Aleksandra Grąbczewska, Filip Furman, Michał Bieszczad, Paweł Morkisz, Patrycja Witkowska, Jean Bousquet, Mariusz Gujski
Journal Paper
2014

Strong approximation of solutions of stochastic differential equations with time-irregular coefficients via randomized Euler algorithm

Applied Numerical Mathematics ; ISSN 0168-9274. — 2014 vol. 78, s. 80–94. — Bibliogr. s. 94

Journal Paper Paweł Przybyłowicz, Paweł Morkisz

Strong approximation of solutions of stochastic differential equations with time-irregular coefficients via randomized Euler algorithm

Paweł Przybyłowicz, Paweł Morkisz
Journal Paper
2019

Prediction of distribution of microstructural parameters in metallic materials described by differential equations with recrystallization term

International Journal for Multiscale Computational Engineering ; ISSN 1543-1649. — 2019 vol. 17 iss. 3, s. 361–371. — Bibliogr. s. 371

Journal Paper Paweł Morkisz, Piotr Oprocha, Paweł Przybyłowicz, Natalia Czyżewska, Jan Kusiak, Danuta Szeliga, Łukasz Rauch, Maciej Pietrzyk

Prediction of distribution of microstructural parameters in metallic materials described by differential equations with recrystallization term

Paweł Morkisz, Piotr Oprocha, Paweł Przybyłowicz, Natalia Czyżewska, Jan Kusiak, Danuta Szeliga, Łukasz Rauch, Maciej Pietrzyk
Journal Paper
2017

Optimal pointwise approximation of SDE’s from inexact information

Journal of Computational and Applied Mathematics ; ISSN 0377-0427. — 2017 vol. 324, s. 85–100. — Bibliogr. s. 100

Journal Paper Paweł Morkisz, Paweł Przybyłowicz

Optimal pointwise approximation of SDE’s from inexact information

Paweł Morkisz, Paweł Przybyłowicz
Journal Paper
2019

Optimal approximation of stochastic integrals in analytic noise model

Applied Mathematics and Computation ; ISSN 0096-3003. — 2019 vol. 356, s. 74–91. — Bibliogr. s. 90–91

Journal Paper Andrzej Kałuża, Paweł Morkisz, Paweł Przybyłowicz

Optimal approximation of stochastic integrals in analytic noise model

Andrzej Kałuża, Paweł Morkisz, Paweł Przybyłowicz
Journal Paper
2019

Multi-criteria optimization strategies for tree-structured production chains

International Journal of Material Forming ; ISSN 1960-6206. — 2019 vol. 12 iss. 2, s. 185–196. — Bibliogr. s. 196

Journal Paper Piotr Jarosz, Jan Kusiak, Stanisław Małecki, Paweł Morkisz, Piotr Oprocha, Wojciech Pietrucha, Łukasz Sztangret

Multi-criteria optimization strategies for tree-structured production chains

Piotr Jarosz, Jan Kusiak, Stanisław Małecki, Paweł Morkisz, Piotr Oprocha, Wojciech Pietrucha, Łukasz Sztangret
Journal Paper
2016

Metamodeling and optimization of a blister copper two-stage production process

JOM / The Minerals, Metals & Materials Society ; ISSN 1047-4838. — 2016 vol. 68 no. 6, s. 1535–1540. — Bibliogr. s. 1540

Journal Paper Piotr Jarosz, Jan Kusiak, Stanisław Małecki, Paweł Morkisz, Piotr Oprocha, Wojciech Pietrucha, Łukasz Sztangret

Metamodeling and optimization of a blister copper two-stage production process

Piotr Jarosz, Jan Kusiak, Stanisław Małecki, Paweł Morkisz, Piotr Oprocha, Wojciech Pietrucha, Łukasz Sztangret
Journal Paper
2020

Complexity of approximating Hölder classes from information with varying Gaussian noise

Journal of Complexity ; ISSN 0885-064X. — 2020 vol. 60 art. no. 101497, s. 1–17. — Bibliogr. s. 17

Journal Paper Paweł Morkisz, Leszek Plaskota

Complexity of approximating Hölder classes from information with varying Gaussian noise

Paweł Morkisz, Leszek Plaskota
Journal Paper
2018

An attempt of optimization of zinc production line

Archives of Civil and Mechanical Engineering / Polish Academy of Sciences. Wrocław Branch, Wrocław University of Technology ; ISSN 1644-9665. — 2018 vol. 18 iss. 4, s. 1116–1122. — Bibliogr. s. 1122

Journal Paper Piotr Jarosz, Jan Kusiak, Stanisław Małecki, Paweł Morkisz, Piotr Oprocha, Wojciech Pietrucha, Łukasz Sztangret

An attempt of optimization of zinc production line

Piotr Jarosz, Jan Kusiak, Stanisław Małecki, Paweł Morkisz, Piotr Oprocha, Wojciech Pietrucha, Łukasz Sztangret
Journal Paper
2016

Approximation of piecewise Hölder functions from inexact information

Journal of Complexity ; ISSN 0885-064X. — 2016 vol. 32 iss. 1, s. 122–136. — Bibliogr. s. 136

Journal Paper Paweł Morkisz, Leszek Plaskota

Approximation of piecewise Hölder functions from inexact information

Paweł Morkisz, Leszek Plaskota
Journal Paper
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CONTACT

MAILING ADDRESS

Faculty of Applied Mathematics
AGH University of Science and Technology
al. Mickiewicza 30
30-059 Kraków, Poland

OFFICE

Building DS-Alfa-1
Room M-2

E-Mail

morkiszp (at) agh.edu.pl

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SKILLS

SKILLS
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LEVEL : high EXPERIENCE : long