Beatrix Hiesmayr (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, 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 interest: Quantum Mechanics, Quantum Information, Positronium, Medical Physics, Quantum Entanglement detection.
Grzegorz Korcyl (Jagiellonian University, Poland)
Expert in the field of Field Programmable Gate Arrays (FPGA) technology with many years of experience acquired while working on international research projects such as HADES, PANDA, and ATLAS experiments. Designer and developer of the complete data acquisition and processing system for the PET tomography scanner J-PET. Currently conducts research on the use of FPGAs in applications related to Artificial Intelligence and High-Performance Computing.
Research interest: FPGA, heterogeneous computing, data acquisition systems, real-time data processing
Tomasz Małkiewicz (CSC, Finland)
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 interest: Supercomputers, Physics with Supercomputers, e-Infrastructure.
Dietmar Millinger (Twingz Development GmbH & GREX IT services Gmbh, Austria)
Dietmar Millinger is ML practitioner and lecturer at several universities of applied science in Austria. While the teaching focus is on applied machine learning in different domains, the main focus of the practical research and work is on anomaly detection in industrial timeseries data. Models based on autoencoders and transformers are used to detect and explain anomalous events in measured electrical power quality data as well as residual current data.
Research Interests: autoencoders, transformers and explainability of ML results.
Artur Miroszewski (Jagiellonian University, Poland)
Artur Miroszewski is a postdoctoral researcher at the Jagiellonian University and a data science consultant at Fremint. He obtained his PhD from the National Centre for Nuclear Research in 2021 in the field of theoretical physics. Currently, he is involved in the European Space Agency project exploring the opportunities of quantum machine learning for satellite data analysis. He focuses on using kernel methods for classification tasks.
Research Interests: quantum machine learning, quantum many-body systems, quantum cosmology, problem of time.
Jakub Nalepa (Silesian University of Technology, Poland)
Jakub Nalepa received his MSc (2011), PhD (2016), and DSc (2021) in Computer Science from Silesian University of Technology (SUT), Gliwice, Poland. Jakub is currently an Associate Professor at SUT, Head of AI at KP Labs, Gliwice, Poland, and Machine Learning Architect at Graylight Imaging, Gliwice, Poland. His research interests focus on machine (deep) learning, signal processing, remote sensing, and medical image analysis. So far, he has published more than 100 peer-reviewed papers in journals and conferences and is an active reviewer in 100+ journals. 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).
Research interest: machine learning and pattern recognition, especially support vector machines, evolutionary algorithms: genetic and memetic algorithms, medical imaging and clinical decision support, parallel algorithms
Agnieszka Pollo (NCBJ, Poland & Jagiellonian University, Poland)
Professor at the Faculty of Physics, Astronomy, and Applied Computer Science of the Jagiellonian University and at the National Center for Nuclear Research, where she is the head of the Astrophysics Department. Involved in the creation of VIMOS VLT Deep Survey (VVDS) a comprehensive deep galaxy spectroscopic redshift survey, the leader of the Polish node of the VIMOS Public Extragalactic Redshift Survey (VIPERS). Currently, the leader 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.
Research interest: Observational Cosmology, Extra-galactic
Astrophysics, Statistical Methods, Machine Learning, popularization of
science.
Andrew Reader (King's College London, England)
Andrew Reader is an expert in PET image reconstruction and analysis. His work includes major contributions to iterative list-mode 3D image reconstruction, image-space reconstruction modelling and 4D image reconstruction. His recent research interests focus on MR-informed reconstruction of PET data and synergistic PET-MR modelling, with the long-term goal of integrating PET and MR reconstruction using machine learning. After joining the University of Manchester as a Lecturer in 1999, then the McGill University as an Associate Professor in 2008, Andrew Reader became a full Professor at King's College in London in 2015.
Research interest: Tomographic Image Reconstruction, Artificial Intelligence, Deep Learning, Machine Learning, PET Imaging.
Jami Rönkkö (IQM, Finland)
Quantum Engineer from IQM Quantum Computers with 4 years of industrial experience in theory and simulation of superconducting qubits and quantum algorithms. Specialised in simulating noisy quantum algorithms and novel techniques to improve operation of superconducting qubits. Familiar with ordinary digital quantum computing as well as digital-analog framework and quantum annealing. MSc from theoretical physics (2020, University of Helsinki).
Research interest: circuit quantum electrodynamics, open quantum systems, quantum algorithms.
David Sarrut (CNRS Lyon, France)
David Sarrut is a senior researcher at CNRS. He works in the fields of medical image processing, simulations and medical physics. The principal applications of his work are related to the treatment of cancer by radiotherapy and imaging with ionizing radiation (x-ray tomography, nuclear imaging). He is the leader of the team "tomoradio" at CREATIS laboratory (“Tomographic imaging and therapy with radiation”) and is leading a research group at the Léon Bérard cancer center in Lyon, France, dedicated to advanced methods in medical physics simulations and image-guided radiation therapy.
Research interest: Monte-Carlo Simulations, Nuclear Imaging,
Image-Guided Radiation Therapy (IGRT), Medical Physics.
Wolfgang Waltenberger (HEPHY, Austria)
Senior research associate at HEPHY Vienna and CMS Physics Analysis. Founder of "SModelS", a software framework that allows us to confront an arbitrary theoretical model with LHC results. In data analysis works at advancing novel machine learning techniques such as multi-level optimization, deep neural networks, and information geometry.
Research interests: LHC, Particle Physics, Data Analysis, Statistics,
Machine Learning.
