Jan Meizner

ORCID: 0000-0003-4094-6557
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About
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Research Areas
  • Distributed and Parallel Computing Systems
  • Scientific Computing and Data Management
  • Advanced Data Storage Technologies
  • Cloud Computing and Resource Management
  • Simulation Techniques and Applications
  • IoT and Edge/Fog Computing
  • Cloud Data Security Solutions
  • Distributed systems and fault tolerance
  • Glioma Diagnosis and Treatment
  • Business Process Modeling and Analysis
  • Peer-to-Peer Network Technologies
  • Explainable Artificial Intelligence (XAI)
  • Digital Transformation in Industry
  • Computational Physics and Python Applications
  • Security and Verification in Computing
  • Advanced Neural Network Applications
  • Caching and Content Delivery
  • Research Data Management Practices
  • Machine Learning and Data Classification
  • Cryptography and Data Security
  • Model Reduction and Neural Networks
  • Innovative Microfluidic and Catalytic Techniques Innovation
  • Data Management and Algorithms
  • Neuroblastoma Research and Treatments

AGH University of Krakow
2011-2023

Abstract PRIMAGE is one of the largest and more ambitious research projects dealing with medical imaging, artificial intelligence cancer treatment in children. It a 4-year European Commission-financed project that has 16 partners consortium, including Society for Paediatric Oncology, two imaging biobanks, three prominent paediatric oncology units. The constructed as an observational silico study involving high-quality anonymised datasets (imaging, clinical, molecular, genetics) training...

10.1186/s41747-020-00150-9 article EN cc-by European Radiology Experimental 2020-04-03

The Collage Authoring Environment is a software infrastructure which enables domain scientists to collaboratively develop and publish their work in the form of executable papers. It corresponds recent developments both e-Science computational technologies call for novel publishing paradigm. As part this paradigm, static content (such as traditional scientific publications) should be supplemented with elements interactivity, enabling reviewers readers reexamine reported results by executing...

10.1016/j.procs.2011.04.064 article EN Procedia Computer Science 2011-01-01

Running computational science applications on the emerging cloud infrastructures requires appropriate programming models and tools. In this paper we investigate applicability of component model to developing such applications. The propose takes advantages features IaaS infrastructure offers a high-level application composition API. We describe experiments scientific from bioinformatics domain, using hybrid which consists private running Eucalyptus Amazon EC2 public cloud. measured...

10.1016/j.procs.2011.04.045 article EN Procedia Computer Science 2011-01-01

Infrastructure as a Service (IaaS) clouds are considered interesting sources of computing and storage resources for scientific applications. However, given the large number cloud vendors their diverse offerings, it is not trivial research projects to select an appropriate service provider. In this paper, we present results evaluation public providers, taking into account requirements biomedical applications within VPH-Share project. We performed broad analysis nearly 50 providers analyzed...

10.1109/ccgrid.2013.54 article EN 2013-05-01

Despite the recent dramatic advances in computational and data processing capacities of commodity solutions, a numerous scientific, socioeconomic industrial "grand challenges" exists that could be solved only through capabilities exceed current solutions by orders magnitude. To demonstrate feasibility addressing these problems necessitating exascale sets, novel architectural approaches are needed. These architectures need to support efficient service composition balancing infrastructure-...

10.1109/fskd.2018.8686900 article EN 2018-07-01

Due to energy limitation and high operational costs, it is likely that exascale computing will not be achieved by one or two datacentres but require many more. A simple calculation, which aggregates the computation power of 2017 Top500 supercomputers, can only reach 418 petaflops. Companies like Rescale, claims 1.4 exaflops peak power, describes its infrastructure as composed 8 million servers spread across 30 datacentres. Any proposed solution address challenges has take into consideration...

10.31577/cai_2020_4_724 article EN Computing and Informatics 2020-01-01

The goal of this paper is to present a dedicated high-performance computing (HPC) infrastructure which used in the development so-called reduced-order model (ROM) for simulating outcomes interventional procedures are contemplated treatment valvular heart conditions. Following brief introduction problem, presents design execution environment, representative cases can be simulated and parameters ROM fine-tuned enable subsequent deployment decision support system without further need HPC....

10.1098/rsfs.2020.0006 article EN Interface Focus 2020-12-11

This paper presents the design and implementation of a scalable compute platform for processing large data sets in scope EU H2020 project PROCESS. We are presenting requirements platform, related works, infrastructure with focus on components finally results our work.

10.31577/cai_2020_4_860 article EN Computing and Informatics 2020-01-01

While political commitments for building exascale systems have been made, turning these into platforms a wide range of applications faces several technical, organisational and skills-related challenges. The key technical challenges are related to the availability data. first machines likely be built within single site, input data is in many cases impossible store site. Alongside handling extreme-large amount data, system has process from different sources, support accelerated computing,...

10.1109/escience.2019.00063 article EN 2019-09-01

The aim of this paper is to present the pilot service Collage Authoring Environment enabling executable scientific publications that based on GridSpace2 distributed computing platform and integrated with online publisher ScienceDirect, provided under auspices Elsevier. scope includes work carried out when adapting from a proof-of-concept prototype was awarded Grand Prize in Elsevier Executable Paper Challenge into robust deployment supporting real-life use cases.

10.1016/j.procs.2013.05.241 article EN Procedia Computer Science 2013-01-01

The investigation presented in this paper was prompted by the need to provide a manageable solution for secure access computing clusters with federated authentication framework. This requirement is especially important scientists who direct nodes order run their applications (e.g. chemical or medical simulations) proprietary, open-source custom-developed software packages. Our existing software, which enables non-Web clients use Shibboleth-secured services, has been extended SSH cluster...

10.7494/csci.2010.11.0.21 article EN DOAJ (DOAJ: Directory of Open Access Journals) 2010-01-01
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