We research methods, techniques and environments for programming and execution of complex scientific applications on cluster, Grid and Cloud infrastructures.
We create solutions which integrate cloud sites operated by different providers. Our Atmosphere distributed cloud platform has built-in autoscaling capability and exposes a truly hybrid computational cloud environment.
We help researchers in the fields of biology, energy, metalurgy, etc. to execute their experiments using distributed resources. We also create collaborative Web-based environments for e-science.
PRIMAGE aims at creation of a Clinical Decision Support System (CDSS) for the treatment of cancer (nauroblastoma, glioma) in children. The system will use the HPC infrastructure and patients' data in the multi-scale computational models of cancer, designed to define disease biomarkers. The created CDSS system will help oncologists both in diagnosis and in predicting of disease progression and treatment effectiveness.
The main outputs of PROCESS are five very large data service prototypes, implemented using a mature, modular, generalizable open source solution for exascale data. The services will be validated in real-world settings, both in scientific research and in industry pilot deployments.
CECM, an H2020 Teaming for Excellence Phase 1 project, developed a Business Case to establish in Poland Europe's first Centre for simulation-driven healthcare Decision Support. The Centre's mission comprises development of new computation-based solutions for diagnostics and therapy in daily healthcare to improve personalised patient treatment, enhanced growth of regional medtech industry, as well as strong advancement of algorithms, models and technologies involved in personalised medicine.
In Gliomed we are undertaking a series of bioinformatics and biostatistics analyses on tumor data. Information acquired from MR imaging and NGS sequencing of glioma cases will be collaboratively investigated with other project partners. The result could be a new liquid biopsy glioma test.
The DICE team will be creating an easy-to-use environment for the development, deployment and execution of large scale simulations, required for learning process development and sensitivity analyses (a "Model Execution Environment").
The main objective of the PLGrid Core project is further, significant extension of the PL-Grid Infrastructure computing resources, especially in ACC Cyfronet AGH, as a specialized competence centre in the field of distributed computing infrastructures, with particular emphasis on grid technologies, cloud computing and platforms supporting computations on big data.
The ISMOP project intends to carry out research into complex systems for embankment monitoring and threat forecasting, which includes the following aspects: massive and continuous collection of measurement data, optimized data transmission, interpretation and analysis with the use of numerical simulations, providing result visualization for the appropriate authorities.
PaaSage delivers an open and integrated platform to support model based lifecycle management of Cloud applications. The platform and the accompanying methodology allow model-based development, configuration, optimisation and deployment of existing and new applications, independently of the existing Cloud infrastructures.
The Collage Authoring Environment is a framework for collaborative preparation and publication of so-called executable papers. The environment enables researchers to seamlessly embed chunks of executable code (called snippets) into scientific publications, and to facilitate repeated execution of such snippets on underlying computing and data storage resources.
VPH-Share develops the organisational fabric and integrates optimized services to expose and share data and knowledge, jointly develop multiscale models for the composition of new VPH workflows, facilitate collaboration within the VPH community.
PLGrid Plus project serves Polish scientific communities enabling extensive cooperation among them, as well as international cooperation in the scope of research activities in the area of e-Science.
The MAPPER project responed to the critical need by developing computational strategies, software and services for distributed multiscale simulations across disciplines, exploiting existing and evolving European e-Infrastructure. This project was driven by the computational needs of seven exemplary multiscale problems from a variety of disciplines including Systems Biology, Fusion, Physiology, Engineering and nano-Material Science.
The mission of the UrbanFlood project was to investigate the use of sensors within flood embankments to support an online early warning system, real time emergency management and routine asset management. The Common Information Space (CIS), created in the scope of this project, provides a means for integration, over the Internet, of Early Warning Systems, sensors and application programs for public information and decision support.
The goal of the PL-Grid project was to provide the Polish scientific community with an IT supercomputing platform and a set of advanced tools to enable e-science research in various fields.
The ViroLab Project developed a virtual laboratory for research in the area of infectious diseases. In particular, it targeted the drug resistance problem in HIV (Human Immunodefficiency Virus) anti-viral therapy, using genetic information and computer modeling. GridSpace technology was used here as the main building block of the virtual laboratory, providing the core runtime, services and tools for programmers, computational scientists and virologists, enabling them to address important issues in modern treatment of infectious diseases through collaborative in-silico research.
The GREDIA Project prepared a system for access to multimedia data on the Grid, in the context of business applications. GREDIA focused on media and banking sectors. Here, GridSpace was applied as a core of the Appea platform, which enables users to quickly develop and deploy application scenarios, making use of the available Grid services and data resources.
The European Research Network on Foundations, Software Infrastructures and Applications for large scale distributed, GRID and Peer-to-Peer Technologies.
The Knowledge-based Workflow System for Grid Applications (K-Wf Grid) addressed the need for a better infrastructure for the future Grid environment.
The CrossGrid project was oriented towards compute- and data-intensive applications that were characterized by the interaction with a person in a processing loop. Such applications required a response from the Grid to an action by a human agent in different time scales.
Team leader
Researcher, programmer, entrepreneur
Researcher, scientific developer
Researcher
System administrator
Researcher, scientific developer
Software developer
Researcher, scientific developer
Researcher, scientific developer
Researcher, scientific developer
Researcher, scientific developer
System administrator, scientific developer
Researcher
Researcher, scientific developer
Researcher
Researcher, scientific developer
Programmer, biomedical engineer
Software developer