جست‌وجوی استاد و پژوهشگر

• Medical Imaging
• MRI Reconstruction
• Real-Time MRI
• +۴ مورد دیگر

Martin Uecker is a Professor at the Institute of Biomedical Imaging at TU Graz. His research focuses on advanced MRI reconstruction techniques, real-time imaging, and open-source software tools like the Berkeley Advanced Reconstruction Toolbox (BART). He specializes in developing methods for fast and accurate medical imaging, including applications in cardiac MRI, fetal brain imaging, and disease monitoring. His work emphasizes reproducibility, quantitative imaging, and clinical translation. Key research areas include generative models for MRI reconstruction, model-based inversion of the Bloch equations, and interactive real-time MRI systems. His team collaborates on projects involving hardware-software integration, such as portable MRI scanners and MRI-guided interventions. Notable contributions include advancements in multi-echo radial FLASH techniques, motion-resolved T1 mapping, and Bayesian uncertainty estimation in imaging. Uecker’s publications highlight innovations in accelerating MRI acquisition and reconstruction, with applications in pulmonary function assessment, neonatal imaging, and cardiovascular diagnostics. His work bridges theoretical physics, computational methods, and clinical practice, fostering open-source frameworks to democratize access to cutting-edge imaging tools.

Oliver Höftbergerمشاهده پروفایل

پژوهشگر

• Cyber-Physical Systems
• Real-Time Systems
• Embedded Systems
• +۵ مورد دیگر

Oliver Höftberger is affiliated with TU Wien's Institut für Technische Informatik , part of the Faculty of Informatics. His research focuses on Cyber-Physical Systems , Real-Time Systems , Embedded Systems , and Resilient Systems-of-Systems . He has contributed to frameworks for self-healing cyber-physical systems and resilient master clocks, emphasizing fault tolerance and dynamic reconfiguration. Publications highlight work on emergence phenomena in systems-of-systems, ontology-based runtime adaptation, and multi-core processor architectures like the ACROSS MPSoC for safety-critical applications. He has advised multiple PhD and Master’s students, including Denise Ratasich, Nazir Alakhras, and Julian Grahsl. Key projects include the universAAL platform for Ambient Assisted Living and sensor fusion packages for robotics (ROS). His research bridges theoretical systems modeling with practical implementations in complex, safety-critical domains.

Christian Fibichمشاهده پروفایل

پژوهشگر

• Fault-Tolerant FPGA Design
• Reliability Analysis of SRAM-Based FPGAs
• High-Level Synthesis

Christian Fibich is a Researcher and Lecturer at the Department of Electronic Engineering, University of Applied Sciences Technikum Wien, Austria. He leads the Research Group Embedded Systems, focusing on FPGA reliability and high-level synthesis. His roles include project management for R&D initiatives like VECS (2013-2018), INES (2018-2023), and the 2024 Drohnentechnik integration project. Fibich holds an MSc in Embedded Systems from Technikum Wien and has been active in the field since 2010. Research interests include fault-tolerant FPGA design, reliability analysis of SRAM-based FPGAs, and high-level synthesis optimization. His work emphasizes practical applications of open-source tools and automated design exploration. Recent projects explore temperature-dependent fault effects and drone integration in academic programs. Publications span FPGA reliability, fault injection methods, and embedded systems design, with a focus on open-source IP cores and hardware security. His contributions include Fiji (a fault injection tool) and HLShield (a reliability framework for HLS).

Ronen Hershmanمشاهده پروفایل

پژوهشگر ارشد

• Cognitive Psychology
• Pupillometry
• Eye Movements
• +۳ مورد دیگر

Ronen Hershman is a Research Fellow at the Department of Clinical Psychology I, University of Innsbruck. He specializes in cognitive psychology research with a focus on pupillometry, eye movements, and cognitive control mechanisms. His work primarily investigates numerical processing and conflict resolution using Stroop task paradigms. His research interests center on: Cognitive control mechanisms in conflict tasks Pupillometry as an indicator of cognitive effort Numerical cognition and processing Eye movement patterns in cognitive tasks Development of methodological tools for pupillometry analysis Hershman's publications demonstrate a consistent focus on cognitive conflict paradigms, particularly Stroop task variations, with an emphasis on temporal analysis of pupillary responses. His methodological work includes developing CHAP, an open-source pupillometry analysis software that has become a significant contribution to the field. He has taught courses including Research Seminar, Specific Clinical Research Methods, and specialized seminars on pupillometry and eye movement methodologies. His teaching portfolio includes both graduate and undergraduate level instruction in statistics and research methods.

René Röpkeمشاهده پروفایل

استادیار

• Learning Technologies
• Learning Analytics
• AI in Education
• +۷ مورد دیگر

René Röpke is an Assistant Professor at TU Wien since August 2024. Previously, he conducted his PhD and postdoctoral research within the Learning Technologies Research Group at RWTH Aachen University, focusing on personalized game-based learning for cybersecurity education. His academic journey includes a Bachelor's and Master's from Technical University of Darmstadt and a study semester at Simon Fraser University in Canada. His research interests span Learning Technologies, AI-driven Education, Game-based Learning, and Open Educational Resources (OER). Notable projects include the AIStudyBuddy initiative for AI-powered study planning and the development of serious games for phishing education. He has contributed to tools like WebWriter for interactive content creation and BuddyAnalytics for educational data visualization. Röpke’s recent publications emphasize leveraging AI and process mining for personalized learning solutions, study path optimization, and collaborative learning analytics. His work bridges theoretical educational frameworks with practical digital tool development, aiming to enhance individualized and equitable access to education. He has actively participated in conferences like LAK (Learning Analytics & Knowledge) and DELFI, advocating for open science practices and transparency in educational technology. His contributions highlight a strong focus on human-centered design principles in educational technologies.

• Media Studies
• Digital Humanities
• Educational Technology
• +۳ مورد دیگر

Jana Herwig serves as a Lecturer at the Center for Teaching and Learning (CTL) of the University of Vienna, where she teaches courses including Development of Media and Forms of Communication and Didactics: Teaching and Learning with Media . The CTL provides university-wide support for educational media production and teaching innovation. Her research critically examines digital media through interdisciplinary lenses, prioritizing Media Studies , Digital Humanities , and Educational Technology . Key focal points include accessibility in higher education ( Disability Studies ), algorithmic power structures ( Critical Algorithm Studies ), and sensory perception in media interfaces ( Sensory Studies ), with particular emphasis on haptic media and touch. Analysis of her recent publications reveals consistent exploration of how media technologies shape human experience and social structures. Recurring themes include digital proximity in virtual communication, self-service automation, disability representation, and historical-contemporary media transitions. Her work bridges critical theory with practical educational applications, advocating for inclusive, alternative media practices. Within the CTL, she actively supports faculty through the service desk for producing teaching videos and audio materials, integrating her scholarly research on media into practical educational infrastructure development.

Toma Susiمشاهده پروفایل

دانشیار

• Atomic Precision Materials Engineering
• Electron Microscopy
• Defect Engineering
• +۳ مورد دیگر

Toma Susi is an Associate Professor at the University of Vienna's Faculty of Physics, leading the Physics of Nanostructured Materials group. With a doctorate from Aalto University (2011) and a FWF Lise Meitner fellowship (2013-2015), they now focus on atomic-scale materials engineering through electron microscopy and computational modeling. PhD in Materials Science (2011, Aalto University) FWF Lise Meitner Fellow (2013-2015, University of Vienna) ERC Starting Grant recipient (2017) for atomic precision materials engineering Research spans: electron beam manipulation of 2D materials, defect engineering for novel properties, and multislice simulations in microscopy. Collaborative projects include ATMEN (Atomic Precision Materials Engineering) and open science initiatives. Key article trends: Electron microscopy for atomic-scale characterization 2D materials (graphene, MoS2, hBN) under irradiation Computational methods for STEM/TEM simulations Open science tools (abTEM, GPAW) Scientific awards: ERC Starting Grant (2017) FWF Lise Meitner Fellowship Current projects: Time-dependent neutralization of highly charged ions Positronium interferometry ATMEN (Atomic Precision Materials Engineering)

• Energy economics
• Electricity economics
• Renewable energies
• +۳ مورد دیگر

Udo Bachhiesl is an Associate Professor and Deputy Head of the Institute of Electricity Economics and Energy Innovation at Graz University of Technology. With a background in energy economics, he has established himself as an expert in energy and electricity economics, renewable energies, and energy innovation. His research focuses on energy transition modeling, power system economics, and renewable energy integration. Bachhiesl has contributed significantly to understanding the challenges of integrating renewables into electricity markets and developing modeling frameworks for energy system optimization. His work spans regional (particularly Styrian and Austrian), European, and international contexts including Africa and the Indian subcontinent. Bachhiesl's recent publications reveal a strong focus on hydrogen integration, energy system optimization models (including LEGO and ATLANTIS), and regional energy transition pathways. His work combines technical power system analysis with economic modeling to provide comprehensive insights into energy transitions. Klimaschutzpreis 2003 der Österreichischen Bundesregierung Young Scientist Best Paper Award 2003 As Deputy Head of the Institute, Bachhiesl oversees numerous research projects including UrbanHP (heat pump integration), iKlimET (climate and energy system models), and the Styria Energy Report series. His work connects academic research with practical energy policy implementation, particularly in the Styrian region of Austria. He has also contributed to the Energy Innovation Symposium series at TU Graz and maintains the ATLANTIS simulation model for European electricity systems.

Sebastian Zwickl-Bernhardمشاهده پروفایل

پژوهشگر

• Energy System Modeling
• Renewable Energy Integration
• Decarbonization Strategies
• +۳ مورد دیگر

Sebastian Zwickl-Bernhard is a researcher at the Energy Economics Group (EEG) of Vienna University of Technology (TU Wien) and holds a concurrent research position at the Department of Industrial Economics and Technology Management (IØT) at Norwegian University of Science and Technology (NTNU). He earned a Master’s (2020) and Ph.D. (2023) in Electrical Engineering from TU Wien, focusing on open-source energy system modeling for decarbonization. Ph.D. in Electrical Engineering, TU Wien (2023) Master’s in Energy Engineering and Automation Technology, TU Wien (2020) His research spans energy system optimization under sustainability transitions, with expertise in open-source modeling tools , renewable integration , and flexibility solutions for power and transport systems. His work addresses decentralized energy systems , hydrogen economics , and resource constraints in decarbonization pathways. The 15 most recent articles highlight applications of optimization techniques to microgrids , EV charging infrastructure , LNG markets , and material recycling , reflecting a focus on policy analysis , techno-economic modeling , and geopolitical risk in clean energy transitions. Faculty Award for Doctoral Thesis, TU Wien (2023) Faculty Award for Master Thesis, TU Wien (2020) IIASA Young Scientists Summer Program (YSSP) Fellowship (2021) Sebastian supervises bachelor’s and master’s students at TU Wien and contributes to open-source energy modeling projects like GUSTO and openENTRANCE . His collaborative work with teams at TU Wien, NTNU, and IIASA emphasizes transdisciplinary research and scalable energy solutions .

Frank Leymannمشاهده پروفایل

استاد

• Software Architecture
• Pattern Languages
• Service-Oriented Computing
• +۸ مورد دیگر

Frank Leymann is a Professor of Computer Science at the University of Stuttgart, where he serves as Director and Founder of the Institute of Architecture of Application Systems. His career spans academia and industry, including 20 years at IBM Germany as a Software Architect. Research Focus: Workflow Management, Service Computing, Cloud Computing, Quantum Computing, Pattern Languages, Digital Humanities. Standards: Co-author of BPEL, BPMN, WS-RF, TOSCA, Human Task specifications. His work on quantum computing emphasizes hybrid quantum-classical applications and practical integration challenges. He pioneered the OASIS cloud standard TOSCA and developed the open-source OpenTOSCA platform, which has over 1,000 downloads. Scientific awards include an Honorary Doctorate from the University of Crete (2015), IBM Distinguished Engineer (2000), and IBM Academy of Technology membership (1996). Google Scholar cites his work over 43,300 times (H-Index 89), ranking him among the world's top computer scientists.

• IT Security
• Cybersecurity
• Open-Source Software Analysis
• +۳ مورد دیگر

Tobias Dam serves as an Academic Professional at the Institute of IT Security Research within the Department of Computer Science and Security at St. Pölten University of Applied Sciences. His work focuses on practical cybersecurity challenges with emphasis on open-source software ecosystems, data space security, and web-based threats. Based in the B-Campus-Platz 1 location, he actively contributes to both research and educational initiatives in IT Security. His educational background includes completing HTL St. Pölten's Department of IT/Computer Science program from 2008-2013, followed by a Bachelor's degree in IT Security at St. Pölten University of Applied Sciences from 2013-2016. He gained practical experience in 2015 working on software development, security, and configuration management in the "upribox" project. Since 2016, he has been pursuing a Master's degree in Information Security at the same institution. Dr. Dam's research spans multiple critical areas in modern cybersecurity, with particular expertise in analyzing vulnerabilities in open-source software ecosystems. His work on critical open-source software databases represents significant contributions to understanding the "health status" of important open-source projects. He has also made notable advances in data space security, developing policy patterns for usage control, and conducting extensive analyses of web-based threats including typosquatting, pop-up scams, and cryptojacking. His research uniquely bridges theoretical frameworks with empirical analysis of real-world security issues, often examining how privacy techniques like k-anonymity impact machine learning classifiers and how data deletion affects model integrity. His publication record demonstrates consistent contributions to major cybersecurity conferences and journals, with recent work focusing on dataspace connector implementations, critical open-source software metrics, and vulnerability assessment in open-source packages. His research trajectory shows increasing specialization in the security challenges of modern data ecosystems while maintaining strong connections to practical implementation concerns. Through his video presentations on cloud services versus self-operated programs and secure remote corporate IT access, Dr. Dam actively engages in knowledge transfer to broader technical audiences beyond traditional academic publication channels.

• Extracellular Vesicles
• Stem Cell Research
• Regenerative Medicine
• +۷ مورد دیگر

Martin Wolf is a Researcher at the Institute of Experimental and Clinical Cell Therapy , part of Paracelsus Medical University . He holds an email contact at pmu.ac.at and has been actively publishing in diverse fields including Extracellular Vesicles, Stem Cell Research, and Regenerative Medicine. His research interests span Immunomodulation, Angiogenesis, Allergy & Immunology, and Machine Learning-based analysis of cellular systems. His work often bridges Biomedical Engineering with clinical applications. Recent research trends highlight a focus on extracellular vesicles (EVs) , including their role in SARS-CoV-2 interactions , skin regeneration , and cartilage repair . Collaborative studies explore human stem cell therapies and biomarker discovery in cardiovascular and neurological contexts. Labs & Teams : Collaborates with the Strunk Lab on EV-Quant, a microfluidic chip project for EV quantification (active 2021–2025). Participates in interdisciplinary teams studying cell-based therapies and tissue engineering.

• Numerics of Partial Differential Equations (PDEs)
• Finite Element Methods (FEM)
• Boundary Element Methods (BEM)
• +۳ مورد دیگر

Dirk Praetorius is a Professor of Numerics of Partial Differential Equations at the Vienna University of Technology (TU Wien), within the Institute for Analysis and Scientific Computing, part of the Faculty of Mathematics and Geoinformation. He leads research in numerical methods for PDEs, with a focus on Finite Element Methods (FEM), Boundary Element Methods (BEM), and computational micromagnetics. His work emphasizes adaptive algorithms, a-posteriori error estimation, and efficient numerical solvers. Praetorius has received awards such as the TU Best Teacher Award (2021) and TU Best Lecture Award (2019). He is also a Senior Editor of Computational Methods in Applied Mathematics and serves on the editorial board of Applied Numerical Mathematics . His research interests span numerical analysis, including adaptive methods for PDEs, matrix compression techniques (e.g., hierarchical matrices), and software development for computational science. Notable contributions include the development of open-source software like MooAFEM (adaptive FEM in MATLAB), Commics (micromagnetic simulations), and HILBERT (BEM library). These tools address challenges in adaptive mesh refinement, iterative solvers, and large-scale scientific computing. Praetorius has supervised numerous PhD students and postdocs, contributing to impactful publications in journals such as Numerische Mathematik , SIAM Journal on Numerical Analysis , and Computer Physics Communications . His work bridges theoretical analysis and practical applications, with a focus on achieving optimal computational efficiency and rigorous error control. In addition to research, Praetorius has led initiatives like TUForMath to foster academic engagement and has been a key contributor to collaborative projects in computational electromagnetics and materials science.

• Open Data
• Data Quality
• Knowledge Graphs
• +۳ مورد دیگر

Dr. Sebastian Neumaier is a Senior Researcher at the Institute of IT Security Research within the Department of Computer Science and Security at University of Applied Sciences St. Pölten . He focuses on open data ecosystems, knowledge graphs, and semantic web technologies. Research Interests : Open Data Quality and Governance Knowledge Graph Construction Data Security and Usage Control Semantic Web Standards Smart City Data Infrastructure Publication Trends (2015–2025) span open data quality assessment, knowledge graph applications, cybersecurity in data spaces, and semantic data labeling. Key subfields include license compliance, spatio-temporal data systems, and decentralized dataset exchange architectures. Education : PhD (2019) – Semantic Enrichment of Open Data Master's Thesis – Data Intelligence BSc – Computer Science Labs & Projects : Core contributor to ADEQUATe platform for open data quality Co-developer of DALICC as a service for license clearance Active in data space policy frameworks Participant in EU digital product passport initiatives

Stefan Stiegerمشاهده پروفایل

استاد

• Psychological Methodology
• Psychoinformatics
• Psychometrics
• +۱۶ مورد دیگر

Stefan Stieger is a Professor and Head of the Department of Psychological Methodology at the Karl Landsteiner Private University of Health Sciences. He leads an interdisciplinary research team focused on advancing psychological methodology through the integration of technology, statistics, and software development. His work bridges psychology and informatics, particularly in the emerging field of psychoinformatics. His research interests include psychometrics, individual differences, self-esteem, personality (e.g., Big Five, Dark Triad), life satisfaction, and digital well-being. He emphasizes methodological innovation, particularly through Experience Sampling Methods (ESM) and the development of open-source tools like ESMira, which enables real-time data collection in natural environments. His work often involves large-scale, cross-cultural studies and replication research to ensure robust psychological science. Recent publications highlight trends in replication studies, cross-cultural invariance of psychological scales, mood and energy dynamics, social perception, and the role of technology in behavioral research. His articles frequently appear in high-impact journals and address both foundational methodological questions and applied topics such as mental health in crisis regions. Stefan Stieger is actively involved in funded research projects, including studies on CO₂ and cognitive performance, app-based workplace health interventions, demographic diversity in groups, sexual activity frequency, and peer support for diabetes management. He collaborates extensively with international researchers and institutions. He advises and mentors students and junior researchers, though specific names are not listed. His team develops software solutions for the scientific community, promoting open science and reproducibility.