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Dmitri RusakovView profile

Professor

• Synaptic Plasticity
• Neuroscience
• Astroglia in Neural Circuits
• +3 more

Dmitri Rusakov is a Professor of Neuroscience at the Queen Square Institute of Neurology, University College London . His research focuses on synaptic plasticity, astroglial signaling, and neural network dynamics. He has held prestigious fellowships including Wellcome Trust Principal Research Fellowships (2013–now, 2018) and European Research Council Advanced Grant (2012). Rusakov pioneered studies on astrocyte-neuron interactions, glutamate dynamics, and calcium signaling in situ. Research Themes : Synaptic machinery, diffuse signaling beyond synapses, astroglial roles in neural circuits Key Techniques : Fluorescence imaging, computational modeling, electrodiffusion analysis Publication Trends : Over 15 years, his work emphasizes astrocyte signaling , synaptic glutamate dynamics , calcium homeostasis , and in silico modeling . He explores how astroglia modulate synaptic plasticity and neural rhythms through GABA waves, Ca2+ gradients, and membrane recycling. Recent articles address methodological challenges in fluorescence sensor calibration and neurovascular coupling. Scientific Awards All-Ukraine Young Physicists Olympiad First Prize (1976, 1977) Medical Research Council UK Career Development Award (1999) Wellcome Trust Senior Research Fellowship (2003, 2008) Academia Europaea membership (2012) ERC Advanced Grant (2012) Wellcome Trust Principal Research Fellowship (2013, 2018) Collaborations span institutions including PNAS USA, Neuron, Nature, and Science journals. His career spans roles at UCL, Open University, Bogomoletz Institute, and international visiting positions.

• Transportation Studies
• Human Decision-Making
• Data Science
• +4 more

Martyna Fidler is a researcher at the Institute of Transport Studies at University of Natural Resources and Life Sciences, Vienna (BOKU). With a PhD in Behavioral Modeling and a background in Behavioral Economics and Economics, she bridges transportation research with cognitive science and data analysis.

Manuel Scholz-WäckerleView profile

Senior Lecturer

• evolutionary political economy
• institutional economics
• agent-based modeling
• +5 more

Manuel Scholz-Wäckerle is a Senior Lecturer at the Department of Socioeconomics, Vienna University of Economics and Business. He specializes in evolutionary political economy, institutional economics, and agent-based modeling across micro-meso-macro scales, with particular focus on capitalist development, platform capitalism, and social ecological transformation. Education: Habilitation in Political Economy (Privatdozent) from Vienna University of Economics and Business Doctorate in social and economic sciences (Dr.rer.soc.oec.) from Vienna University of Technology Diploma in economics and computer science (Mag.rer.soc.oec) from Vienna University of Technology Research Interests: His work integrates evolutionary theory with political economic analysis, exploring complexity in social systems, platform capitalism's structural dynamics, and pathways toward post-monetary societies through computational simulations. He investigates how planetary-scale computation reshapes economic power and how democratic planning could enable social ecological transitions. Teaching: Bachelor course: "Sustainable Business: Advanced Study and Application" Master program SEEP (Socio-Ecological Economics and Policy) Local program director for Erasmus Mundus Joint Degree EPOG-JM Projects: Leads the EPOG-JM Erasmus Mundus Joint Master (2025-2029), previously directed the "Society after money" simulation project (2018-2022), and contributed to EU-funded Welfare/Wealth/Work for Europe research (2012-2016). Editorial Roles: Associate editor at Review of Evolutionary Political Economy Research area coordinator at EAEPE (European Association for Evolutionary Political Economy)

• Fluid Mechanics
• Drop Dynamics
• Aeroacoustics
• +6 more

Günter Brenn is a University Professor (Professor) at Graz University of Technology, Institute of Fluid Mechanics and Heat Transfer. His research spans fluid dynamics, two-phase flows, and aeroacoustics, with applications in automotive systems, ventilation, polymer processing, and biomedical engineering. Research Interests: Drop-jet collisions and fragmentation mechanisms Viscoelastic fluid dynamics Computational modeling of centrifugal polymer separation Turbulent flow aeroacoustics Smoke backlayering in tunnels Microfluidics and spray formation The 15 most recent articles highlight his work in nonlinear drop oscillations, turbulent pipe flow noise, and interdisciplinary applications of fluid mechanics in biomedical contexts (e.g., aortic dissection thrombosis). Methodologies include hybrid simulations, Large-Eddy Simulations, and analytical modeling. Key Affiliations: Institute of Fluid Mechanics and Heat Transfer, Graz University of Technology Research portal (PURE) contributions Teaching authorization in fluid mechanics

• Plasma Physics
• Computational Physics
• Nuclear Fusion
• +3 more

Markus Markl is a Researcher at the Institute for Theoretical Physics - Computational Physics of Technische Universität Graz , specializing in plasma physics, nuclear fusion, and computational modeling. His work focuses on magnetic confinement for fusion energy, resonant magnetic perturbations, and tokamak/stellarator dynamics. Research Highlights : Developed kinetic models for plasma response to magnetic perturbations (2022-2025). Contributed to understanding edge localized modes (ELMs) in tokamaks like ASDEX Upgrade. Explored quantum gravity applications of the Fröhlich-Morchio-Strocchi mechanism (2023). Contact : markl@tugraz.at

• Machine Learning for Visual Computing
• Big Data Visualization and Analytics
• Data Science and High-Performance Computing (HPC)
• +4 more

Soumya Dutta is an Assistant Professor in the Department of Computer Science and Engineering (CSE) at the Indian Institute of Technology Kanpur (IITK) since 2022. He previously held positions at Los Alamos National Laboratory as a Postdoctoral Researcher (2018-2019) and Scientist II (2019-2022). Dr. Dutta earned his Ph.D. and M.S. in Computer Science from The Ohio State University (2011-2018) and a B.Tech in Electronics and Communication Engineering from the West Bengal University of Technology (2005-2009). His research lies at the intersection of Machine Learning , Visual Computing , Big Data Analytics , and High-Performance Computing (HPC) . He focuses on developing scalable solutions for extreme-scale data, such as exascale simulations, social media, IoT, and healthcare. His work emphasizes uncertainty quantification in AI models and interactive visualization techniques. Dr. Dutta’s recent publications highlight his expertise in in situ visualization for climate modeling, implicit neural representations for uncertainty-aware rendering, and statistical sampling for exascale systems. His funded projects include AI-driven data analytics frameworks and deepfake defense mechanisms supported by ISRO, SERB, and C3iHub. Scientific Awards include Best Reviewer (TVCG), Best Paper (ISAV, TopoInVis), and LAAP Award (LANL).

• Quantum Physics
• Quantum Computing
• Quantum Simulation
• +5 more

Rainer Blatt is a University Professor at the University of Innsbruck , affiliated with the Department of Experimental Physics . He also contributes to research at the Institute for Quantum Optics and Quantum Information of the Austrian Academy of Sciences. His work focuses on quantum computing, quantum simulation, and quantum optics using trapped ions. Research Interests: Blatt specializes in advancing quantum technologies through trapped ion systems. His research encompasses quantum gate operations, entanglement engineering, and simulation of complex many-body physics. He explores error-corrected architectures and topological phases for scalable quantum computing. Recent Publications: His articles highlight a strong emphasis on trapped ion quantum processors, lattice gauge theories, and entanglement dynamics. Topics include fault-tolerant error correction, symmetry-protected phases, and suppression of spontaneous emission, reflecting cutting-edge contributions to quantum information science. Collaborations: Blatt is associated with the Department of Experimental Physics and the Institute for Quantum Optics and Quantum Information , both based in Innsbruck, Austria. His research integrates experimental and theoretical quantum technologies.

• Quantum Networking
• Atomic Physics
• Condensed Matter Physics
• +3 more

Simon Baier is a Researcher at the Department of Experimental Physics , University of Innsbruck , specializing in quantum networking and dipolar quantum systems. His work bridges theoretical and experimental approaches, focusing on entanglement distribution, teleportation, and ultracold atomic physics. Education: MSc and PhD in Physics Research Interests: Simon Baier investigates quantum networks using spin qubits and trapped ions, along with dipolar interactions in ultracold gases. His research spans quantum information science and condensed matter physics. Article Trends: Recent work highlights quantum teleportation, NV center applications, and dipolar effects in Fermi and Bose-Einstein condensates. Key themes include entanglement protocols, quantum memory, and spin dynamics.

• Antimatter Research
• Quantum Optics
• Laser Cooling
• +5 more

Giovanni Cerchiari is a researcher at the Department of Experimental Physics at the University of Innsbruck , focusing on experimental quantum and particle physics. His work bridges antimatter research, quantum optics, and advanced detection systems. Research Interests: Quantum control of spontaneous emission and entanglement Laser cooling of exotic particles like positronium and antiprotons Development of high-resolution detectors for particle annihilation Simulation of mixed plasma confinement for antihydrogen production Quantum optics with trapped ions and dipolar scatterers Gravitational studies of antimatter via the AEgIS experiment Article Trends: Giovanni Cerchiari's recent publications highlight advancements in antimatter experiments (e.g., AEgIS at CERN), quantum systems manipulation (e.g., spontaneous emission control), and detector technologies. His work spans theoretical simulations (e.g., plasma confinement) and experimental implementations (e.g., laser cooling, Moiré deflectometry), with a recurring focus on positronium and antihydrogen for fundamental physics tests like the Weak Equivalence Principle. Labs and Teams: He is actively involved in the AEgIS experiment at CERN, aiming to measure antimatter gravity, and contributes to quantum optics projects at the University of Innsbruck's Department of Experimental Physics. His collaborations include detector development and simulation studies for antimatter experiments.

Cord HockemeyerView profile

Researcher

• Technology-supported learning
• Knowledge space theory
• Adaptive knowledge diagnosis
• +8 more

Cord Hockemeyer is a Senior Research Associate at the Institute of Psychology , University of Graz, since 1999. He also served as a Project Manager at Graz University of Technology's Institute for Knowledge Management (2009-2011) and held a Marie Curie Fellowship at the University of Graz (1998-1999). His work bridges Cognitive Psychology , Knowledge Space Theory , and E-learning Systems through algorithmic modeling and software development. Education Diploma in Computer Science with Psychology focus, TU Braunschweig Research Interests center on adaptive learning technologies , including knowledge diagnosis , competency mapping , and mathematical modeling for educational games and clinical training systems. He specializes in Knowledge Space Theory and its applications in technology-enhanced learning , with a focus on micro-adaptivity and dynamic assessment in complex domains. Scientific Contributions span publications on adaptive algorithms , competency-based education , and simulation-driven learning frameworks. His work integrates ontologies , metadata standards , and grid architectures to enable personalized educational experiences. Awards & Appointments Marie Curie Fellowship (1998) Editorial Board Member, Testing, Psychometrics, Methodology in Applied Psychology (2016-present) Active reviewer for journals like Journal of Mathematical Psychology and Psychological Methods Additional Roles include membership in professional societies (IEEE, Austrian Computer Society) and contributions to EU-funded projects such as Higher Education Learning Platform for Quantitative Thinking (2019-2022). He combines academic research with central administrative duties at the Institute of Psychology.

• Business Simulation Games
• Management Accounting
• Project Management
• +4 more

Sandra Mühlböck serves as a Professor at the University of Applied Sciences Upper Austria, Campus Wels, where she is affiliated with the Research Center Wels. Her academic work bridges theoretical business concepts with practical industry applications, particularly through innovative educational methodologies and management solutions for small and medium enterprises. Her research centers on Business Simulation Games and Active Learning techniques, with significant contributions to Management Accounting and Project Controlling frameworks. She specializes in developing escape room concepts and game-based approaches for business education, addressing challenges in volatile markets while emphasizing Agile Product Development for family enterprises. Her work extends to sustainable business model transformation, particularly in Central European agricultural contexts. Recent publications reveal a strong trend toward experiential learning tools, where she pioneers simulation-based pedagogy to teach business administration concepts. Her 2023-2024 outputs demonstrate increasing focus on VUCA world challenges, sustainable transformations, and practical implementations of management accounting systems in real-world business environments. Mühlböck has supervised 9 student works, reflecting her commitment to mentoring the next generation of business professionals. She actively contributes to the Research Center Wels, which focuses on applied business research and educational innovation within the University of Applied Sciences framework.

Philipp KrondorferView profile

Researcher

• Biomechanics
• Machine Learning
• Gait Analysis
• +2 more

Philipp Krondorfer is a Junior Researcher at the Center for Digital Health and Social Innovation, University of Applied Sciences St. Pölten in Austria. His primary affiliation involves biomechanics research with a focus on integrating machine learning and AI for gait analysis. He collaborates with researchers including Brian Horsak and Anita Kranzl on musculoskeletal modeling projects. Research Focus Krondorfer specializes in: Machine learning applications for predicting joint contact forces and ground reaction forces Validation of markerless motion capture technologies Development of automated musculoskeletal simulations Biomechanical analysis of pathological gait patterns Explainable AI in clinical biomechanics His work bridges computer science and health sciences, emphasizing practical clinical applications. Publication Trends Krondorfer's recent articles (2023-2025) demonstrate a consistent focus on machine learning applications in biomechanics. Key themes include: Comparative studies of physics-informed AI models for force prediction Validation frameworks for smartphone-based motion capture Methods to improve accuracy in musculoskeletal simulations Analysis of joint mechanics in pathological conditions His collaborations frequently involve interdisciplinary teams from biomechanics and computer science departments. Awards and Recognition No scientific awards or honors are mentioned in available sources. Research Infrastructure Krondorfer works within the Center for Digital Health and Social Innovation, which focuses on technology-driven health solutions. The center likely provides motion capture laboratories and computational resources for biomechanical simulations, though specific lab details aren't provided.

• Micromagnetics
• Spintronics
• Computational Physics
• +5 more

Florian Bruckner is a researcher at the Faculty of Physics , affiliated with the Physics of Functional Materials group. His work spans computational physics and materials science, focusing on micromagnetics, spintronics, and inverse design methodologies. He has contributed extensively to spin-wave devices, magnetic field sensing, and 3D-printed magnetic systems. Research Interests: Micromagnetics, Magnonics, Spin-Orbit Torque, Topology Optimization, 3D-Printed Magnets, Computational Modeling. Publication Trends: Recent articles highlight advancements in inverse-design magnonics , spin-wave transducers , and micromagnetic simulations with applications in 5G technology and magnetic sensors. Collaborations with colleagues like Dieter Süss and Andrii Chumak are central to his work. Projects: He leads a research-funded initiative on eddy current solvers for micromagnetic inverse design (2024–2028), focusing on computational frameworks for magnetic device optimization.

• Theoretical Chemistry
• Quantum Chemistry
• Photodissociation
• +4 more

Johannes Dietschreit is an active researcher at the Institute for Theoretical Chemistry within the Faculty of Chemistry at a German-speaking institution. Holding a doctorate along with B.Sc. and M.Sc. degrees, his research focuses on advanced computational methods in theoretical chemistry. His research interests center on theoretical and computational chemistry , with specific expertise in photodissociation mechanisms, collective variables for molecular dynamics, nonadiabatic processes, and machine learning applications in chemical systems. His work bridges physics-based modeling with data-driven approaches to solve complex chemical problems. Analysis of his recent publications reveals a strong trend toward integrating machine learning with traditional quantum chemistry methods. His work focuses on developing robust computational frameworks for studying molecular dynamics, particularly in challenging areas like photodissociation pathways and energy barrier calculations. The research demonstrates increasing sophistication in handling complex electronic state transitions and developing more accurate interatomic potentials. Dr. Dietschreit has been recognized as an invited speaker at multiple scientific events in 2025, including presentations on robust data sets for free energy estimates and artificial light harvesting systems. His research shows active collaboration with international teams, particularly with researchers from groups focused on machine learning applications in chemistry.

• Computer Security
• Hardware Design
• Embedded Systems
• +3 more

Daniel Große serves as a full Professor at Johannes Kepler University Linz, holding primary affiliation with the Institute for Symbolic Artificial Intelligence and secondary appointments at the Institute of Complex Systems and LIT Secure and Correct Systems Lab. He currently leads 3 major research projects including Modular Real-Time Control (2023-2026) and the ENGEL Austria GmbH industry collaboration (2019-2027), while maintaining active roles in 113 professional activities through 2025. His research integrates Computer Security , Hardware Design , and Artificial Intelligence to address critical challenges in embedded systems. Key focus areas include cryptographic instruction chaining for control flow protection, RISC-V vector workload simulation, and LLM-assisted metamorphic testing of graphics libraries, with strong emphasis on practical applications for safety-critical systems. Recent publications (2025) reveal a cohesive research trajectory toward secure computing foundations, combining formal verification techniques with AI-driven development tools. His work consistently bridges hardware security primitives and software engineering innovations, particularly targeting vulnerabilities in instruction set architectures and embedded graphics pipelines. Prof. Große has supervised 4 graduate students and secured significant funding through both public grants (VerA project) and industry partnerships. His project portfolio demonstrates strategic balance between theoretical advances in arithmetic circuit verification and applied industrial solutions for real-time control systems. As a core member of the LIT Secure and Correct Systems Lab, he contributes to interdisciplinary research initiatives developing formally verified secure computing platforms, with active collaborations spanning hardware security validation, virtual prototyping frameworks, and AI-enhanced software testing methodologies.