I am currently research-and-teaching assistant at the Faculty of Applied Mathematics,
AGH University of Science and Technology.
I am mostly interested in the numerical analysis and the complexity (in the sense of Information-Based Complexity) of continuous problems connected to stochastic analysis.
My research is mainly conducted within the approximation of stochastic problems.
Currently, I am Team Leader of Data Scientists Departament in company connected with application predictive maintance in industry.
I have a theoretical and practical knowledge in the fields of artificial intelligence,
machine learning, data science, time series, deep learning, stochastic analysis and numerical methods.
In addition to ML experience, I participate in the international AGH-NVIDIA project on
construction and analysis of algorithms for approximate solving of SDEs together
with its efficient implementation on GPU NVIDIA graphics cards (parallel computation - mostly CUDA).
One of the outcomes of the project is going to be a library (written in CUDA C) dedicated for GPU-powered computations.
Andrzej KAŁUŻA, Doctoral dissertation
Andrzej KAŁUŻA, Paweł M. MORKISZ, Paweł PRZYBYŁOWICZ, Applied Mathematics and Computation, ISSN 0096-3003. — 2019 vol. 356, s. 74–91.
Andrzej KAŁUŻA, Paweł PRZYBYŁOWICZ, Applied Numerical Mathematics ; ISSN 0168-9274. — 2018 vol. 128, s. 24–42.
Tomasz Bochacik, Natalia Czyżewska, Andrzej Kałuża, Dawid Majchrowski, Paweł Morkisz, Paweł Przybyłowicz, Marcelina Studzińska-Wrona, NVIDIA's GPU Technology Conference (GTC), San Jose, USA} Poster - ONLINE