جست‌وجوی استاد و پژوهشگر

• Cognitive Linguistics
• Sociolinguistics
• World Englishes
• +۳ مورد دیگر

Prof. Alexander Onysko is a full-time Professor and Head of the Institute of English and American Studies at the University of Klagenfurt's Faculty of Cultural and Educational Sciences. His academic roles include membership in the Curricular Commission for English and American Studies and the Faculty Conference. His research focuses on cognitive linguistics, sociolinguistics, and world Englishes, with particular interest in language contact, multilingualism, and conceptual metaphors. Recent research projects explore interdisciplinary topics like media literacy, swarm intelligence in robotics, and sustainable business ecosystems. Notable publications in 2025 address online political avoidance, robotic exploration algorithms, and healthcare workforce retention during pandemics. He actively contributes to academic administration and has supervised multiple institutional innovation projects. His work bridges linguistic theory with practical applications in education and technology-driven solutions.

• Computer Science
• Database Systems
• Process Mining
• +۴ مورد دیگر

Andreas Manfred Pointner is an Assistant Professor at FH Hagenberg , specializing in interdisciplinary research at the intersection of computer science, healthcare informatics, and software engineering. He leads research in graph databases, process mining, and attribute grammars with applications in healthcare IT and automated data systems. His affiliations include the Web Intelligence and Innovation Laboratory , AIST Center of Excellence , and Medical Engineering/TIMed Center . He has contributed to projects such as RiskAI (risk management in enterprises), PASS (plan analysis automation), and REPO (radiology e-health platforms). Research Interests: Graph database optimization, interoperability in healthcare systems (HL7 standards), fuzzing techniques for software testing, and process mining for audit event analysis. His work bridges theoretical formal methods with practical applications in clinical workflows and automated data cleansing. Notable Contribution: Developed a graph transformation framework for complex data structures Recipient of the Best Paper Award 2022 for contributions to intelligent systems Collaborative Projects: Focus on AI-driven solutions for enterprise risk management and healthcare interoperability He actively participates in international conferences and has supervised projects involving 3D model analysis, contour extraction, and global disease monitoring systems.

• Software Engineering
• Probabilistic Programming
• Security and Penetration Testing
• +۵ مورد دیگر

Jürgen Cito is an Associate Professor in the Department of Software Engineering at the Faculty of Informatics, TU Wien, where he leads research in probabilistic programming, security, and configuration management. His work is supported by major grants from the Austrian Science Fund (FWF), European Commission, and Meta Platforms, Inc., with active projects spanning 2022-2027. His research focuses on the intersection of software engineering and machine learning, particularly in static analysis of probabilistic programs, AI-driven penetration testing, and infrastructure security. Key contributions include identifying secret exposure in configuration files, grammar inference for ad hoc parsers, and performance prediction from source code, often combining empirical studies with tool development. Analysis of his 15 most recent publications (2020-2024) reveals three dominant trends: (1) Security vulnerabilities in configuration management systems, especially secret leakage in dotfiles; (2) Application of large language models to offensive security testing; and (3) Machine learning techniques for performance prediction and AutoML optimization in software contexts. Cito has supervised 22 Master's students on cutting-edge topics including AI security, infrastructure as code, and program analysis. His current research portfolio includes: Types4Strings (FWF, 2024-2027): Type systems for string processing Cloud Open Source Research Mobility Network (EU, 2023-2026): Open-source cloud infrastructure Software Assistants for Probabilistic Programming (Meta, 2022-2026): AI tools for probabilistic code He is embedded in TU Wien's Institute of Software Technology and Interactive Systems (E194), collaborating on cross-institutional projects focused on software security and developer tooling, with particular emphasis on empirical validation of security practices and configuration management systems.

• 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.

Katharina Kleinen-von Königslöwمشاهده پروفایل

استاد

• Political Communication
• Digital Public Spheres
• Transnational Communication
• +۴ مورد دیگر

Katharina Kleinen-von Königslöw is a Full Professor of Journalism and Communication Studies at the University of Hamburg , focusing on digital communication and sustainability. Since 2018, she serves as Vice Dean for Teaching and Studies at the Faculty of Economics and Social Sciences and leads the Erasmus Mundus Master's program Journalism, Media and Globalisation . Her research spans digital public spheres , transnational communication , and sustainability framing in social media, with a methodological emphasis on quantitative and qualitative empirical methods . Recent publications analyze: Platform governance (Google/YouTube’s role in conspiracy theories) Climate futures framing across countries Right-wing populists’ linking practices Automated content analysis via machine learning She has secured major grants from institutions like Landesforschungsförderung Hamburg and Swiss National Science Foundation , co-leading interdisciplinary projects on security and sustainability. Her work has been cited over 1,600 times on Google Scholar. Her team includes researchers like Dr. Gerret von Nordheim and Dr. Laura Liebig, with collaborations across Europe and North America.

• Production Systems Engineering
• Software Engineering
• Cyber-Physical Production Systems
• +۴ مورد دیگر

Prof. Dietmar Winkler is a Lecturer at TU Wien's Department of Information Systems Engineering, specializing in Cyber-Physical Production Systems (CPPS) and Software Engineering. His work focuses on integrating safety, security, and quality aspects into production systems through model-driven engineering and agile practices. He contributes to Industry 4.0 initiatives, particularly in asset-based risk mitigation and knowledge graph frameworks for security analysis. Research interests include: production systems engineering, cyber-physical systems, test-driven validation, model integration, and software quality intelligence. His publications emphasize multi-view modeling, traceability pipelines, and empirical studies on test code readability. Recent work explores security-log analysis via knowledge graphs (VloGraph), test scenario validation using design models, and efficient FMEA re-validation in agile environments. He co-leads projects on digital production system safety and coordinates multi-disciplinary engineering artifacts. Active in academic communities, he organizes conferences like Software Quality: The Next Big Thing. His contributions bridge theory and practice in systems engineering, with a focus on improving software development processes in complex industrial settings.

• Machine Learning
• Bioinformatics
• Medical Engineering
• +۴ مورد دیگر

Susanne Schaller is an Assistant Professor at FH Hagenberg's Research Center Hagenberg, specializing in Medical Engineering and Bioinformatics. She leads interdisciplinary projects focusing on AI-driven solutions in healthcare, including applications in oncology, immunology, and geriatric care. Her work integrates machine learning with genomic data analysis to address challenges in disease diagnosis and treatment. Her research interests include machine learning techniques for gene expression prediction, bioinformatics tool development, and AI applications in chronic disease management. Notable projects include the SmartBeetle initiative (AI-based pest control) and TrainYourBrain Optimizer (Alzheimer’s training software). Projects: 8 active/completed projects (e.g., BF-SigSim, ImmuneProfiler) Collaborations: Interreg Austria-Czech Republic, MAS Demenzservicestellen Key Focus Areas: T-cell signaling, mutation identification in leukemia, and AI-driven healthcare systems Her work bridges computational methods with clinical needs, exemplified by her role in developing IMPI—a tool for low-frequency mutation analysis in chronic myeloid leukemia. She has authored 66+ research outputs, including peer-reviewed articles and commissioned reports on healthcare innovation.

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).

Stefan Bifflمشاهده پروفایل

دانشیار

• Software Engineering Process Improvement
• Cyber-Physical Production Systems
• Empirical Software Engineering
• +۵ مورد دیگر

Stefan Biffl is an Associate Professor of Software Engineering at Technische Universität Wien's Institute of Information Systems Engineering. He holds MS and PhD degrees in Computer Science from Vienna University of Technology and an MS in Social and Economic Sciences from the University of Vienna. His research focuses on software-intensive systems engineering, particularly in process improvement, quality assurance, and cyber-physical production systems. He has led over €4M in research projects, including the 7-year Christian Doppler Laboratory for Software Engineering Integration. Biffl has authored/co-authored over 250 publications and serves on program committees for top conferences like ICSE and ESEC/FSE. His current roles include co-leading TU Wien's Center for AI and Machine Learning (CAIML) Business group and supervising the Doctoral College on Trustworthy Autonomous Cyber-Physical Systems. Key research areas span systems architecture, empirical software engineering, and digital humanism principles in automation. He has advised major automotive companies like Volkswagen and Neuman Aluminium through the Comet Center for Digital Production. Biffl's involvement in academic organizations includes steering committees for ECSA and SEAA, and他曾担任多个期刊的客座编辑。他的著作包括《基于价值的软件工程》等 Springer 出版的书籍。研究项目注重工业自动化与知识工程的交叉应用，特别是在集体智能系统和 Industry 4.0 领域。 近期项目包括探索 AI 在商业绩效提升中的应用（2025 年）、数字化工单的安全风险分析（与 Secure Business Austria 合作）以及基于数据的汽车生产优化。他的工作强调将人本主义原则融入数字化转型，确保技术进步与社会价值的结合。

• Architectural Geometry
• Digital Design
• Sustainable Materials
• +۴ مورد دیگر

Milena Stavric is an Associate Professor at TU Graz's Institute for Architecture and Media. Her research focuses on architectural geometry, digital design, and sustainable materials. She integrates computational methods and digital fabrication techniques into architectural design, emphasizing eco-friendly materials like mycelium composites, alginate-based materials, and clay ceramics. Her work bridges theoretical research with practical applications, such as BIM integration for salvage materials and parametric modeling for freeform structures. She teaches courses in architectural geometry and digital design, contributing to advanced computational workflows from concept to fabrication. Her projects often explore the interplay between material properties and structural form, aiming to advance sustainable construction practices. Research interests include: sustainable building materials (e.g., mycelium-based insulation, alginate xerogels), parametric design strategies, and digital fabrication methods for lightweight ceramics. She explores novel fabrication techniques like coextrusion of clay composites and robotic fabrication of modular formwork. Her work frequently addresses environmental impacts through life cycle assessments and biogenic carbon analysis. Key projects involve material innovation (e.g., MyCera: clay-mycelium composites), digital tools development for early design phases, and educational initiatives like interactive math learning environments. Her contributions span academic publications and applied research, with a focus on integrating geometry, computation, and sustainability in architectural practice.

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.

• Hydrology
• Civil and Hydraulic Engineering
• Flood Forecasting
• +۳ مورد دیگر

Professor Alberto Montanari is a leading academic at the University of Bologna , serving as Full Professor of Hydrology and Water Resources Management and Head of the Department of Civil, Environmental, Chemical and Material Engineering (DICAM) since 2015. His research spans hydrology , climate change impacts , and water resources systems with a focus on flood forecasting , sustainable water management , and uncertainty quantification through methodologies like BLUECAT. Education: Master in Civil and Hydraulic Engineering (University of Parma, 1992); Ph.D. in Hydraulic Engineering (University of Bologna, 1996) His scientific work emphasizes human-water systems interaction , evidenced in the Panta Rhei research initiative and global water emergency assessments. Recent publications analyze climate change extrapolation , groundwater dynamics , and anthropogenic impacts on hydrology across Europe and the USA. Scientific recognition includes: 2019 IAHS Dooge Medal 2018 AGU William Kaula Award 2018 EGU Henry Darcy Medal 2017 AGU Fellow 2017 EGU Union Service Award As Editor-in-Chief of Water Resources Research (2013-2017) and leader in international organizations (EGU President Elect, IAHS Commission President), he has shaped global hydrological science. His supervision of 16+ Ph.D. students and €1M+ research grants, including EU FP7 projects, demonstrate his academic leadership.

Stefan Bifflمشاهده پروفایل

استاد

• Cyber-Physical Production Systems
• Software Engineering
• Industrie 4.0
• +۳ مورد دیگر

Ao.Univ.Prof. Stefan Biffl is a Professor at TU Wien's Forschungsbereich Information und Software Engineering. His work focuses on Cyber-Physical Production Systems (CPPS), Industrie 4.0, and software engineering, with an emphasis on security, quality, and interdisciplinary approaches to production systems. He leads projects like 'Security Improvement of Information Processing in the Production System Lifecycle.' Research interests span Complex Event Processing, data analytics in production, and self-adaptive systems. Recent work explores test-driven validation, risk management, and multi-domain modeling in CPPS. He collaborates on frameworks like MDM-CPPS and QualSec, addressing challenges in automation, security, and sustainability. No scientific awards listed, but extensive contributions to publications and industry-oriented research are evident. He advises on production systems engineering and contributes to open-access publications through TU Wien's platforms.

• Knowledge Graphs
• Natural Language Processing
• Machine Learning
• +۳ مورد دیگر

Sareh Aghaei serves as a Research Fellow at the Institute of Management Sciences within the Faculty of Mechanical Engineering and Industrial Management at Vienna University of Technology (TU Wien), focusing on knowledge-driven solutions for industrial maintenance and healthcare systems. Her academic credentials include: Ph.D. in Computer Science from the University of Innsbruck (2023) M.Sc. in Computer Science from the University of Isfahan Dr. Aghaei's research integrates knowledge graphs with natural language processing and machine learning to develop explainable AI systems. Her work spans industrial maintenance optimization, clinical decision support, and tourism information systems, emphasizing ontology engineering and question-answering frameworks that transform unstructured data into actionable knowledge. Analysis of her 2021-2025 publications reveals a strategic shift toward domain-specific knowledge graph applications, particularly in maintenance management (2022-2025) and health informatics (2023-2024). This evolution demonstrates increasing specialization in medical knowledge representation while maintaining foundational contributions to semantic web technologies established in earlier works like her 2011 Web services architecture research. Her scholarly recognition includes: netidee Grant Call 17: Austria's award for most innovative doctoral theses Dr. Aghaei's doctoral research was funded through the netidee scholarship. Current documentation indicates no active student supervision or major grant leadership beyond her postdoctoral position at TU Wien. Within TU Wien's Institute of Management Sciences, she contributes to research bridging production engineering and artificial intelligence, developing knowledge-based systems for predictive maintenance and industrial process optimization through interdisciplinary collaboration.

Philipp Zechمشاهده پروفایل

استادیار

• Software Engineering
• Requirements Engineering
• Software Architecture
• +۱۴ مورد دیگر

Philipp Zech is an Assistant Professor in the Department of Computer Science at Universität Innsbruck, where he conducts research and teaches in the areas of software engineering, model-driven engineering, digital twins, and modeling & simulation. His office is located in the ICT building (room 3S04), and he is actively involved in research and supervision of master's students. Research Interests: Software Engineering: Requirements Engineering, Software Design, Software Architecture, Development Processes, Testing Model-driven Engineering: Systems Modeling, Domain-specific Languages, Models@runtime Modeling & Simulation: Discrete-Event Systems, System Dynamics, Agent-based and Physics-based Modeling, Co-simulation Machine Learning: Stochastic Optimization, Time Series Imputation, Reinforcement Learning, Surrogate Modeling Digital Twins: Model-driven Engineering, Architectures, Applications Scientific Awards: Best Research Paper Award at BauSim 2024 Advising and Grants: Dr. Zech supervises master's theses in software engineering and computer science, with current topics including digital twin modeling, neural network-based building simulation, low-code environments, and model-based life cycle engineering. He collaborates with industry partners such as TCS and EEB, as well as academic colleagues like Michael Vierhauser. Although specific grants are not listed, his research focus suggests involvement in projects related to smart systems, simulation, and software quality. Labs and Teams: He is a key member of the Quality Engineering (QE) research group at Universität Innsbruck, which focuses on end-to-end IT quality management of systems and IT landscapes. The group is actively engaged in both academic research and practical student projects.