Krzysztof Jurczuk - Research Interests
- Parallel and distributed computing:
- distributed memory and shared address space programming,
- cluster computing, GPGPU, multi-core computing, multi-GPU
- MPI, OpenMP, CUDA, OpenCL, Hadoop, Spark, ...
- load balancing,
- applications in computer modeling, biomedical and health informatics, data mining, evolutionary algorithms, ...
- ...
- Data mining and machine learning:
- evolutionary computation,
- decision trees,
- parallel models/approaches,
- ensemble learning,
- explainable machine learning (XML), explainable artificial intelligence (XAI)
- ...
- Biomedical applications of computer science, computational modeling:
- physiological organ (e.g. liver) modeling,
- flow phenomena, blood flow simulation, computational fluid dynamics (CFD), lattice Boltzmann method (LBM),
- parallel algorithms of vascular development,
- radioembolization, transport phenomena,
- ...
- Magnetic Resonance Imaging:
- virtual scanners, simulators,
- flow in MRI, computational fluid dynamics (CFD),
- time-of-flight (TOF) MR Angiography (MRA), phase contrast MRA,
- lattice Boltzmann method (LBM), Navier-Stokes solvers,
- parallel computing in MRI,
- code and algorithm optimization in MRI simulations,
- ...
- Other:
- genomics (sequencing, storing and managing high-throughput genomics and other omics data, ...) in framework of an NCBiR project "Development of Personalized Diagnostic of Malignant Tumors based on tumor heterogeneity and integrated genomic,
transcriptomic, metabolomic and imaging PET/MRI analysis. Getting Ready for Individualized Therapy"),
- deep learning,
- bioinformatics,
- ...
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Revised: 12-08-2023