Martin Riegler is a researcher at the Institute of Physics and Materials Science , part of the University of Natural Resources and Life Sciences, Vienna (BOKU). His work focuses on advanced material analysis and sustainable construction within the wood technology sector. Specializes in electrical resistivity measurements of wood Applies machine learning to wood machining acoustics Studies adhesive bondlines modified with carbon fillers Investigates moisture dynamics in wood Recent publications highlight his contributions to smart wood composites , non-invasive testing , and machine learning applications in wood processing. He has presented research at international conferences and collaborated with institutions like the Northern European Network for Wood Science and Engineering. Riegler's work intersects with Materials Science , Wood Technology , and Sustainable Engineering , particularly in optimizing particleboard production and wood moisture prediction . His research spans technical innovation and environmental stewardship in forestry applications.
Prof. Dr.techn. Bernhard Hametner is a Lecturer at the Institute of Biomedical Engineering (E363) within Technische Universität Wien (TU Wien) . His research focuses on arterial pressure dynamics, cardiovascular physiology, and biomedical signal analysis with applications in clinical diagnostics and space medicine. He leads projects involving wearable medical devices, multisensor monitoring systems, and computational models of vascular systems. Key affiliations: TU Wien's Network Lab and collaborative EU projects like VascAgeNet Expertise in pulse wave analysis, vascular aging, and translational biomedical engineering Research Interests: His work spans arterial stiffness quantification, non-invasive cardiac output estimation, and developing methods to detect early cardiovascular dysfunction through waveform analysis. He has pioneered approaches using difference equations for modeling arterial wave reflections and contributed to understanding microgravity's impact on cardiovascular systems. Publications Highlight Trends: Recent work emphasizes clinical applications of wearable devices (2023), AI-driven medical recommendation systems (2022), and space physiology studies (2020-2022). Earlier research focused on computational modeling of vascular dynamics and validation of novel diagnostic methods. Advising & Education: Supervised 8 thesis students (2016-2021) in topics like biomedical signal analysis, machine learning in healthcare, and cardiovascular modeling. Active in training the next generation of biomedical engineers through TU Wien's graduate programs. Labs/Teams: Part of TU Wien's Network Lab, collaborating with international teams on projects like the EU's VascAgeNet initiative. Engaged in multidisciplinary teams combining engineering, medicine, and data science.
Haider Sami is a researcher at the University of Vienna , affiliated with the Faculty of Life Sciences and the Department of Pharmaceutical Sciences . He works in the Macromolecular Cancer Therapeutics (MMCT) laboratory under Professor Manfred Ogris, focusing on RNA-based therapeutics and nanocarrier delivery systems . His research addresses critical challenges in splice-switching oligonucleotide (SSO) delivery , particularly regarding endosomal escape , nuclear targeting , and systemic biodistribution . Haider Sami's research expertise spans nanocarrier design for RNA splicing modulation , with a particular emphasis on redox-responsive polymers like disulfide cross-linked polyethylenimine (cLPEI) . He has pioneered methods for accelerated endosomal release and hepatic splice correction , validated through transgenic mouse models expressing split-luciferase reporters . His work demonstrates that cLPEI-SSO polyplexes significantly improve in vivo bioavailability while reducing renal excretion and enhancing tumor accumulation . Key research contributions include disulfide crosslinking strategies for endosomal escape enhancement , one-step nanoparticle synthesis using Brij-linkers , and spatiotemporal delivery tracking via NIR fluorescence imaging and X-ray computed tomography . These studies have direct implications for monogenic disease therapies and cancer treatment applications. Haider Sami has authored 24 publications since 2014, with recent work (2023-2025) emphasizing biocompatible delivery systems , quantitative biodistribution analysis , and functional protein restoration in multiple organ systems including liver, lung, kidney, and bladder.
Roman Beigelbeck is a Researcher at the University for Continuing Education Krems, affiliated with the Center for Modelling and Simulation. He specializes in sensor technology, electromagnetic systems, and thermal modeling. His work focuses on advanced sensor development for applications in energy efficiency, aerospace, and biomedical engineering. Current research includes leading the Correlated Analysis System for in-vivo Inspection of Semiconductor Process Wafers (FFG-funded, 2022–2025). He has contributed to projects like optimizing building energy efficiency via non-invasive sensors and advancing MEMS thermal wind sensor accuracy. His expertise spans computational materials science, electromagnetic shielding, and nanomechanical actuation. Publications highlight contributions to Measurement Science and Technology , IEEE Antennas and Propagation Magazine , and MDPI Sensors . Key topics include electric field sensor design, Faraday cage shielding efficiency, and thermal flow sensor optimization. His lectures include advanced thermal models for LED modules and bulk viscosity sensing at international conferences. Notable collaborations involve FFG-funded projects and academic partnerships, such as TU Wien and TU Sofia. His work bridges theoretical modeling with practical industrial applications, emphasizing innovation in sensor technology and computational methods.
Sven Bestmann is a Professor in Movement Neuroscience at University College London (UCL), holding a Chair since 2016. His work spans the integration of non-invasive brain stimulation (NIBS) with fMRI and Magnetoencephalography (MEG) , focusing on motor control , action selection , and stroke research. He pioneered computational neurostimulation to mechanistically predict NIBS outcomes and co-developed OP-MEG , a wearable neuroimaging technology. Education : PhD in Neurological Studies (2004) under Profs Jens Frahm and John Rothwell, joint UCL-University of Goettingen program Research Highlights : Combining NIBS with fMRI to target cortico-subcortical networks in humans Advancing laminar-resolved MEG for precise neurophysiological measurements Formulating mechanistic models of decision-making and therapeutic NIBS Scientific Awards : ERC Starter Grant (2011) BBSRC David Phillips Research Fellowship (2008) Leadership & Advocacy : Vice-Chair of the Young Academy of Europe (2015–2017) Co-founder of the BrainBox Initiative , promoting innovation in brain stimulation Technological Impact : His OP-MEG work enables neuroimaging during natural movement, transforming human neurophysiology research.
Ass.-Prof. Dr. Pascal Knierim is an Assistant Professor at the Department of Computer Science, University of Innsbruck. He leads the Interactive Graphics and Simulation Group , focusing on Extended Reality (XR), Human-Computer Interaction (HCI), and privacy in digital environments. His research explores the societal impact of emerging technologies, including thermal imaging, drones, and AI integration with XR. Key areas of investigation include user perception in content blocking (e.g., 'Ad-Blocked Reality'), social behavior in VR (e.g., 'Navigating the Virtual Gaze'), and ethical design of mixed reality systems. His work bridges theoretical research with practical applications, such as privacy-aware smart home interfaces ('PriKey') and biometric identification via thermal imaging ('HotFoot'). Knierim’s publications often highlight trends in XR’s ethical implications, such as dark patterns in MR, and the intersection of AI with immersive technologies. His lab emphasizes collaboration, evidenced by contributions to frameworks like 'Lenssembly' for AR-based assembly instructions. His office hours are Monday to Friday, 09:00–13:00, and he is located at ICT 3N08, Technikerstraße 21a, Innsbruck.
Ferenc Krausz, a Hungarian-Austrian physicist, is a Director at the Max Planck Institute of Quantum Optics and holds the Chair of Experimental Physics-Laser Physics at Ludwig Maximilian University of Munich. He pioneered attosecond physics, enabling the observation of electron dynamics in atoms, and was awarded the 2023 Nobel Prize in Physics for this groundbreaking work. Doctorate in Quantum Electronics (1991) and Venia Docendi (1993) at TU Wien Co-laureate with Anne L'Huillier and Pierre Agostini for Nobel Prize Developed high-energy ultrashort lasers for electron dynamics research Explored medical applications like infrared molecular fingerprinting for disease detection His research focuses on attosecond physics , ultra-short laser pulses , and quantum optoelectronics . He aims to apply attosecond technology to revolutionize medical diagnostics and electronics. Recent publications highlight applications in 2D material imaging , molecular fingerprinting , and field-resolved spectroscopy , with keywords spanning quantum electronics, photonics, and biomedical engineering. Scientific Awards: Nobel Prize in Physics (2023) FWF Wittgenstein Award (2002) FWF START Award (1996) Krausz’s work has driven innovations in attosecond measurement techniques, supported by grants from the Austrian Science Fund (FWF) and the Max Planck Society. His team’s experiments at TU Wien in 2001 demonstrated attosecond pulses, now applied in fields from quantum computing to cancer diagnostics . He emphasizes the importance of academic freedom and international collaboration, citing mentor Arnold Schmidt and the FWF’s unrestricted funding as critical to his success.
Wilfried Hortschitz is a researcher at the Center for Modelling and Simulation at the University for Continuing Education Krems, specializing in advanced sensor development. Holding a doctorate from Johannes Kepler University Linz, his work bridges microsystem engineering and practical applications in electromagnetic field measurement. His research focuses on creating innovative MEMS-based solutions for challenging measurement environments. His primary research interests include electric field sensing for power transmission systems, magnetic materials simulation , and optomechanical transducer development . Recent work emphasizes hybrid optical MEMS displacement sensors and vibration-suppressed field measurement systems, addressing critical gaps in high-voltage and low-frequency electromagnetic monitoring. His sensor technologies target applications in power grid safety, industrial measurement, and biomedical sensing. Analysis of his publication record reveals strong specialization in MEMS fabrication and field metrology , with consistent output in high-impact journals like Physical Review Letters and Applied Physics Letters . His work demonstrates a clear trajectory from fundamental sensor physics toward real-world applications, particularly in power systems and industrial measurement contexts. Hortschitz leads multiple significant research initiatives including the EU-funded Magnetic Multiscale Modelling Suite (2024-2027) and previously directed the Bundesländer-funded Sensor system for lightning warnings (2021-2024). His grant portfolio includes substantial funding from FWF, FFG, and international organizations, reflecting strong institutional support for his work in electromagnetic measurement technology. He holds active patents including Sensor (A 51104/2019) and Device for measurement of an electric field (520811), demonstrating translational impact of his research. His technical lectures at forums like Fachgespräch zum Stand der BfS Forschungsvorhaben highlight practical implementations of his measurement systems for static electric fields.
Erik Leitinger is a Senior Researcher at the Graz University of Technology, Austria. He holds a Dipl.-Ing. (M.Sc.) and Ph.D. in electrical engineering from the same institution, awarded in 2012 and 2016 respectively. His work focuses on ultrawideband (UWB) wireless communication, indoor positioning systems, Bayesian inference, and factor graph-based algorithms. He has contributed to multipath-based simultaneous localization and mapping (SLAM), cooperative localization, and MIMO systems. Leitinger’s research integrates theoretical frameworks like belief propagation and variational inference with practical applications in automotive radar, RFID positioning, and 5G/6G systems. His academic contributions span over 50 peer-reviewed articles, with recent work emphasizing non-ideal reflective surfaces, scalable positioning systems, and neural-enhanced SLAM algorithms. He actively collaborates with institutions like the University of Lund (Sweden) and KTH Royal Institute of Technology, contributing to projects such as the EU-funded IPIN competitions. Leitinger teaches courses on adaptive systems, signal processing, and machine learning. His student projects include topics like neural-enhanced SLAM, acoustic source localization using reflections, and real-time multipath-assisted localization with channel sounders. He is affiliated with TUGRAZonline and ORCID, maintaining an open research profile.
Dr. Andreas Zedrosser is a senior researcher at the Institute of Wildlife Biology and Game Management , University of Natural Resources and Life Sciences, Vienna (BOKU). He holds a PhD in Wildlife Biology and has held postdoctoral and research positions at institutions including the Norwegian University of Life Sciences and University of Alberta. His work focuses on brown bear ecology, conservation, and human-wildlife interactions. PhD in Scandinavian brown bear life history (2006) MSc in Wildlife Biology (2001) Postdoc at Norwegian University of Life Sciences (2007-2011) His research spans wildlife ecology , conservation biology , and nutritional ecology , with recent publications analyzing brown bear space use, reproductive performance, and behavioral responses to anthropogenic threats. Articles highlight climate change impacts , foraging optimization , and social dynamics in solitary carnivores. Scientific accolades include the Granser Research Prize (2011) and Kurir Foundation Prize (2008) . He supervises theses on bear ecology and has contributed to international conservation programs for large carnivores in Europe. His team collaborates with institutions like the Scandinavian Brown Bear Research Project and Norwegian Red List committees.
Andreas Bauer is affiliated with the Institut für Analysis und Scientific Computing at TU Wien, part of the Faculty of Mathematics and Geoinformation. He holds a Dipl.-Ing. (Diploma Engineer) and Dr.techn. (Doctor of Technical Sciences) degree. His research focuses on interdisciplinary applications of mathematical modeling in biomedical engineering, cardiovascular systems, and public health. Bauer collaborates extensively with institutions like the Network Lab and has contributed to projects involving computational biology, pharmacokinetics, and neuroimaging. Research interests include: Model-based analysis of arterial pulse waves and circadian rhythms in cardiovascular systems Development of microsimulation approaches for mental health burden prediction Evaluation of compartment models for pharmaceutical agents like infliximab Multi-tracer PET neuroimaging studies of serotonergic systems His work spans 2010-2019 with notable contributions in: Cardiovascular parameter validation using oscillometric measurements Comparison of radial/brachial pressure waveform analysis Agent-based modeling for mental health pathways Web-based platforms for simulation education No scientific awards were explicitly mentioned in the profile. Collaborative projects include work with Prof. Breitenecker on modeling methodologies and Prof. Wassertheurer on cardiovascular dynamics. Active involvement in TU Wien's Network Lab supports interdisciplinary research initiatives.
Sascha Klee is a Professor at Karl Landsteiner University of Health Sciences, heading the Department of Biostatistics and Data Science. His work focuses on integrating data science with medical research to advance clinical diagnostics and therapies. Department of Biostatistics and Data Science Active in interdisciplinary research Research interests span biostatistics, biomedical engineering, and ophthalmology. He specializes in data analysis for neurodegenerative ocular diseases, retinal imaging, and electrical stimulation effects on visual pathways. Recent publications highlight applications of light field technology for 3D retinal imaging, electroretinogram studies for glaucoma markers, and data infrastructure for reproducible medical research. Collaborations include institutions like TU Ilmenau and Universitätsklinikum Krems. Notable contributions include developing systems for tonographic pressure modulation and color channel stimulation to study retinal physiology. His team emphasizes cross-disciplinary approaches to bridge statistical and clinical medicine.
Prof. Cornelia Kasper is a University Professor at the University of Natural Resources and Life Sciences, Vienna (BOKU) , affiliated with the Department of Biotechnology and Food Sciences and leading the Institute of Cell and Tissue Culture Technologies . Her research focuses on advancing 3D cell culture, stem cell engineering, tissue engineering, and bioreactor development to support regenerative medicine and reduce animal testing. Her research interests span Tissue Engineering, Regenerative Medicine, Bioprocess Engineering, Stem Cell Research, 3D Cell Culture, Bioreactor Development, Biomaterials, Cell Therapy, In Vitro Models, and Medical Biotechnology . She pioneers methods for cultivating mesenchymal stem cells under physiologically relevant conditions using dynamic bioreactors and novel biomaterials like nanocellulose and alginate-based hydrogels. Her work emphasizes scalability, monitoring, and functional differentiation for clinical translation. The recent publications highlight a strong trend in 3D stem cell culture systems , particularly using bioreactors and hydrogel encapsulation for mesenchymal stem cells. Key themes include multilineage differentiation under physiological conditions , development of tunable biomaterials (e.g., GelMA, nanocellulose), non-invasive monitoring in bioreactors, and functional analysis of extracellular vesicles . These reflect a cohesive research program aimed at industrial-scale, reproducible, and clinically relevant stem cell manufacturing. Her scientific awards include: Stipendium 'Think, Leadership and Act' (Fortbildung für Führungskräfte) 2010 Habilitationsstipendium 2000–2006 Stipendium für Auslandsaufenthalt University of California Berkeley 1991 Prof. Kasper has supervised numerous students and early-career researchers, as seen in her extensive co-authorship on conference presentations. She has led research groups and secured significant academic recognition, including a full professorship at BOKU in 2011. She has also been actively involved in academic service, notably as chair of the Equal Opportunities Committee at BOKU since 2013. Her work is supported by participation in national and international scientific networks and collaborations in advanced cell therapy and tissue engineering. She leads a research team focused on Cell and Tissue Culture Technologies , working on dynamic 3D cultivation, bioreactor design, and the development of in vitro models for regenerative applications. The lab integrates process engineering with biological functionality to create scalable and physiologically relevant cell culture platforms.
Patrick M Boyle is an Associate Professor in the Department of Bioengineering at the University of Washington , where he leads the Cardiac Systems Simulation (CardSS) Lab. His research focuses on computational modeling of cardiac electrophysiology, machine learning applications in cardiovascular disease, and regenerative medicine. Boyle holds a PhD in Biomedical Engineering from the University of Calgary and completed postdoctoral work at Johns Hopkins University. His research interests include: Predicting cardiovascular risks via patient-specific MRI-driven virtual heart models Personalized simulations for arrhythmia treatment (catheter ablation, radiation therapy) Optogenetics-enabled cardiac devices Stem cell-derived cardiomyocyte applications Explainable AI for cardiovascular event prediction Scientific contributions span computational cardiology, arrhythmia mechanism elucidation, and algorithm development for stroke risk assessment. Boyle's lab integrates machine learning with multi-scale simulations to address fibrosis-related arrhythmias and develop non-invasive therapeutic approaches . Current projects include AI-powered cancer survivorship risk stratification and optogenetic cardiac rhythm control. His scientific awards include: AHA/Additional Ventures Collaborative Sciences Award (2024) NIH R01 and R21 grants Heart Rhythm Society Fellowship (2017) American Heart Association Fellowship (2023) The CardSS Lab employs open-source tools like openCARP and Numericor , with members participating in clinical cardiology collaborations and weekly translational research meetings. Boyle also contributes to departmental equity initiatives as outlined in his lab website .
Verena Pichler is an Assistant Professor in the Department of Pharmaceutical Sciences at the Faculty of Life Sciences. Her research focuses on radiopharmaceutical sciences, particularly in the development of PET radiotracers for neurological and oncological applications, and the environmental impact of medical imaging agents. She has pioneered work on blood-brain barrier penetration prediction using machine learning, microplastic interactions with drugs, and sustainable radiopharmaceutical practices. Key research areas include: Radiopharmaceutical design, nano/microplastic toxicology, and predictive modeling in drug delivery systems Recipient of the Förderpreis der Stadt Wien (2023) and Inorganics 2018 Best Paper Awards (2020) Her lab integrates computational methods with experimental techniques to address challenges in molecular imaging and green chemistry. Recent studies investigate the ecological implications of medical imaging waste and the development of biodegradable materials for pharmaceutical applications. Public engagement activities include media contributions on microplastic health risks and public lectures on radiopharmaceutical innovations.
