(list under construction)
Beatrix Hiesmayr (Quantum Particle Workgroup, University of Vienna, Austria)
Beatrix Hiesmayr is a researcher and lecturer at the University of Vienna and head of the Quantum Particle Workgroup. Her research focuses on quantum phenomena at high and low energies, from very mathematical issues to experimental and technical ones. She has been focusing e.g. on decay of positronium as a biological marker, on classification and detection of entanglement and on testing collapse models in quantum theory.
Research interests: quantum mechanics, quantum information, positronium, medical physics, quantum entanglement detection.
Marc Hütt (Computational Systems Biology, Constructor University, Germany)
Artur Kalinowski (Faculty of Physics, University of Warsaw, Poland)
Artur Kalinowski is a researcher and lecturer at the Faculty of Physics at the University of Warsaw. He is working on analysis of the data collected by the CMS detector as the Large Hadron Collider operating at CERN. He has been working on the search for the Higgs boson and algorithms for the first level of the muon trigger for the CMS detector.
Research interests: experimental elementary particle physics, computing tools for efficient data analysis.
Nils Krah (CREATIS, INSA Lyon, France)
Tomasz Małkiewicz (Nordic e-Infrastructure Collaboration)
Tomasz Małkiewicz is a Management Group member of CSC – IT Center for Science Ltd. of Espoo, Finland, and is also the executive manager of Nordic e-Infrastructure Collaboration (NeIC). Responsible for coordination NeIC’s activities on resource sharing and on sensitive data collaboration, and technical projects in partnership with national e-Infrastructure providers.
Research interests: supercomputers, physics with supercomputers, e-infrastructure
Jakub Mielczarek (Department of Complex Systems, Jagiellonian University, Poland)
Jakub Nalepa (Institute of Computer Science, Silesian University of Technology, Poland)
Jakub Nalepa (Senior Member of IEEE) is an associate professor at the Silesian University of Technology, Gliwice, Poland, and he is the Head of Artificial Intelligence (AI) at KP Labs, Poland, where he shapes the scientific and industrial AI objectives of the company. He has been pivotal in designing the onboard deep learning capabilities of Intuition-1 and has contributed to other missions, including CHIME, Φ-Sat-2 and OPS-SAT. His research interests include (deep) machine learning, medical imaging, evolutionary machine learning, hyperspectral data analysis, signal processing, remote sensing, and tackling practical challenges that arise in Earth observation to deploy scalable solutions. He was the general chair of the HYPERVIEW Challenge at the 2022 IEEE International Conference on Image Processing, focusing on the estimation of soil parameters from hyperspectral images onboard Intuition-1 to maintain farm sustainability by improving agricultural practices. Jakub has been awarded the Witold Lipski Prize (2017), the POLITYKA Science Award (2020), and has been shortlisted on the AI Innovation of the Year (Solutions Provider) list, The AIconics Awards (2021) (London, UK).
Research interests: artificial intelligence, (deep) machine learning, satellite data analysis, medical data analysis, pattern recognition.
Agnieszka Pollo (National Centre for Nuclear Research, Poland)
Professor and Scientific Director of the National Center for Nuclear Research, and also a professor at the Faculty of Physics, Astronomy, and Applied Computer Science of the Jagiellonian University. Involved in the creation of VIMOS VLT Deep Survey (VVDS), a comprehensive deep galaxy spectroscopic redshift survey, the head of the Polish node of the VIMOS Public Extragalactic Redshift Survey (VIPERS). Currently, the head of the Polish collaboration preparing for data analysis for the Legacy Survey of Space and Time (LSST) expected soon from the Vera Rubin Observatory in Chile, and of the Polish consortium of the space project POLAR-2.
Research interests: observational cosmology, extra-galactic astrophysics, statistical methods, machine learning, popularization of science.
Łukasz Rudnicki (International Centre for Theory of Quantum Technologies, University of Gdańsk, Poland)
Georg Schramm (Department of Imaging & Pathology, KU Leuven, Belgium)
Georg Schramm studied Physics at Technische Universität Dresden, Germany, and earned his PhD in medical imaging in 2015 from Helmholz-Zentrum Dresden-Rossendorf and TU Dresden, graduating with summa cum laude honors. During his PostDoc at KU Leuven, he focused on advanced PET reconstruction algorithms and their clinical translation and application. In 2022-2023, Georg worked as an instructor at the Radiological Sciences Laboratory at Stanford University, where, under the guidance of Prof. Fernando Boada, he investigated anatomically-guided reconstruction of sodium MR images. As an Assistant Professor in Molecular Image Reconstruction and Analysis at KU Leuven, Georg's research will emphasize enhancing the diagnostic image quality of molecular images through advanced modeling of imaging systems, implementing cutting-edge reconstruction algorithms, and applying sustainable machine learning techniques.
Research interests: PET image reconstruction, inverse problems, machine learning.
Hans-Georg Stöhr (Faculty of Computer Science, University of Vienna, Austria)
Hans Georg Stöhr is a retired university professor (Medical University of Vienna) who previously worked in a wide variety of areas of biotechnology (development of control systems for artificial hearts, functional electrical stimulation for mobilization after paraplegia, monitoring systems, etc.). He recently discovered his interest in quantum computing, which led to the development of a simulation system for quantum algorithms.
Research interests: microelectronics, embedded systems, hardware based simulation systems for quantum algorithms.
