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Franz WotawaView profile

Professor

• Model-Based Reasoning
• Qualitative Reasoning
• Theorem Proving
• +6 more

Franz Wotawa is a Professor of Software Engineering at Graz University of Technology. He holds a M.Sc. (1994) and PhD (1996) from Vienna University of Technology. He has served as head of the Institute for Software Technology from 2003–2009 and since 2020. His research focuses on model-based reasoning, software testing, autonomous systems, and diagnosis, with over 390 peer-reviewed publications. He founded Softnet Austria (2006) to bridge research and industry. He leads the Christian Doppler Laboratory for Quality Assurance Methodologies for Autonomous Cyber-Physical Systems since 2017 and has supervised 90+ master and 36+ PhD students. His awards include the 2016 Lifetime Achievement Award from the International Diagnosis Community. He is a member of Academia Europaea, IEEE, and AAAI. **Education**: M.Sc. in Computer Science, Vienna University of Technology, 1994 PhD, Vienna University of Technology, 1996 **Research Interests**: Model-based reasoning, qualitative reasoning, theorem proving, mobile robotics, verification/validation, software testing/debugging, AI, and autonomous systems. **Notable Projects**: A-IQ Ready (2022–2026): Quantum sensing for autonomous systems. ALFA (2024–2027): AI for smart diagnosis in building automation. Bilateral AI (2024–2029): Combining symbolic and sub-symbolic AI. VARCOS (2025–2028): Vehicle-road cooperative systems for autonomous driving. **Awards & Memberships**: Lifetime Achievement Award (2016, International Diagnosis Community) Senior Member, AAAI Member of Academia Europaea, IEEE, ACM, and Austrian Computer Society **Labs/Teams**: Christian Doppler Laboratory for Quality Assurance Methodologies (since 2017). Active in Cluster of Excellence “Bilateral AI” at TU Graz.

Marcus HilbrichView profile

Professor

• Distributed Systems
• Software Engineering
• Cloud Computing
• +5 more

Marcus Hilbrich is a Professor in Computer Science with extensive academic experience across multiple institutions. His primary affiliation is Chemnitz University of Technology, where he held roles including Assistant Professor, Acting Professor of Software Engineering, and Research Assistant. He also served as Scientific Coordinator at Humboldt University of Berlin (SFB 1404 FONDA) from 2022–2024. Education: He earned a Doctor of Engineering (Dr.-Ing.) from Dresden University of Technology in 2015, focusing on job/user-centric monitoring in distributed environments. His diploma thesis (2008) explored performance analysis of parallel simulations using the SUN Niagara II architecture. Research Interests: Hilbrich specializes in distributed systems, software engineering, cloud computing, and workflow management. He investigates microservices architecture, resilience engineering, and scalable monitoring techniques. His work bridges theoretical foundations (e.g., formal methods for workflows) with practical applications in HPC and data analysis. Publications: He has authored/co-authored over 15 peer-reviewed articles, including key contributions on ßMACH software management guidance, validity constraints in data workflows, and microservices design patterns. His research often addresses interdisciplinary challenges in computational systems and software lifecycle management. Projects: Active involvement in third-party funded projects like SFC (Cloud Computing for Secure Financial Transactions), ECOUSS (parallel simulations), and WisNetGrid (knowledge networks in grids). His work often integrates performance analysis and system scalability. Labs/Teams: Central to his work is the SFB 1404 FONDA collaborative research center, focusing on foundational aspects of distributed heterogeneous environments.

• Sustainability Science
• Regional Development
• Transdisciplinary Research
• +3 more

Verena Radinger-Peer is an Assistant Professor at the Institute of Landscape Development, Recreation and Conservation Planning , part of the University of Natural Resources and Life Sciences Vienna (BOKU) . She focuses on the role of universities as drivers for sustainability transitions, with expertise in regional development, transdisciplinary research, and ecosystem services. Her work bridges academic knowledge with societal needs, particularly in rural and mountainous regions.

• Interaction Design
• User Experience Design
• Information Visualization
• +4 more

FH-Prof. Dr. Kerstin Blumenstein is a Professor in the Department of Media and Digital Technologies at the University of Applied Sciences St. Pölten. She has been with the institution since 2019, leading research in Interaction Design, User Experience, and Information Visualization. Her work focuses on multi-device ecologies, mobile computing, and digital media integration in cultural and educational contexts. Education includes a Bachelor's in Media Technology (2010) and a Master's in Digital Media Technologies (2012), both from St. Pölten University of Applied Sciences. Prior roles include student assistant at the Institute of Media Informatics and work as a Media Designer in Germany. Research projects like MEETeUX and Seekoi explore user-centered design for multi-device systems and context-aware mobile applications. Key interests span Human-Computer Interaction, second-screen applications, and visualization frameworks for real-time data. Publications emphasize cross-platform visualization tools, mobile interface design, and empirical evaluations of information displays. Current work addresses challenges in BYOD environments and cultural heritage digitalization through projects like KuKoNö . No scientific awards explicitly listed. Active in teaching across multiple programs including Media Technology (BA), Digital Healthcare (MA), and Interactive Technologies (MA).

• Translation Studies
• Translation Technologies
• Terminology Management
• +2 more

Mag. Dr. Vesna Lusicky is a faculty member at the Department for Translation Studies , University of Vienna, where she currently serves as Vice-Director of Studies in the Translation Studies Directorate of Studies. She maintains regular office hours on Tuesdays 14:00–15:00 and can be reached by e-mail for appointments. Her teaching portfolio spans a broad spectrum of translation-oriented subjects. Core courses include Translation Management , Translation Technologies and the Language Industry , Terminology Work and Language Resource Management , and Technical Communication and Terminology . These offerings are delivered at both undergraduate and graduate levels, with multiple parallel groups scheduled each semester. Research & teaching interests are centred on the intersection of language, technology and professional practice, covering: Computer-assisted translation (CAT) tools and localization workflows Terminology management and multilingual knowledge resources Project management in the language services industry Technical writing and domain-specific communication No specific scientific awards or publications are listed in the provided source. At present, no advisees, collaborative laboratories, or funded projects have been disclosed in the available material.

• Software Engineering
• Cybersecurity
• Cloud Computing
• +3 more

Georg Simhandl is affiliated with the Faculty of Computer Science, specifically within the Research Group Software Architecture. His work focuses on advancing theoretical and practical aspects of software engineering with a strong emphasis on cybersecurity, microservices, and empirical studies. Research Interests: His core research spans Microservices Architecture , Cybersecurity in Software Systems , Formal Methods , and Empirical Software Engineering . He investigates topics such as secure firmware updates, threat modeling for microservices, and developer cognition in system maintenance. Recent work highlights include leveraging TPMs for cryptographic anchoring and analyzing how dataflow diagrams enhance security analysis. Activities: He has presented at conferences like the ACM SIGPLAN International Conference on Software Language Engineering (SLE '24) and participated in workshops such as the IEEE/ACM International Workshop on Eye Movements in Programming (EMIP). His research bridges theoretical frameworks with practical software development challenges. Labs/Teams: Works within the Research Group Software Architecture, contributing to projects on secure architecture design and empirical evaluation of software practices.

Frank LeymannView profile

Professor

• Software Architecture
• Pattern Languages
• Service-Oriented Computing
• +8 more

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.

Veljko MilutinovicView profile

Professor

• Microprocessor architecture
• VLSI design
• Data mining
• +9 more

Veljko Milutinovic is a Full Professor at the School of Electrical Engineering, University of Belgrade since 1990. He has also held academic positions at Purdue University (1982-1989) and consulted globally for institutions like IEEE and ACM. Current role: Computer Area Director, teaching VLSI, Data Mining, and E-Business Previous roles: Tenure Track Assistant Professor at Purdue University International collaborations: EU FP7 projects, Raiffeisen Bank, Wall Street Journal His research spans microprocessor architecture , VLSI design , data mining , and semantic web , focusing on energy-efficient architectures and e-business infrastructure. He pioneered DARPA's 200MHz GaAs RISC microprocessor and 4096-node systolic arrays. Recent work trends include: Technical and semantic interoperability in e-government Customer satisfaction accelerators in e-commerce 3D semantic web visualization Data mining for inverse engineering Academic-industry co-design methods Global university collaboration frameworks Scientific awards include: IEEE Life Fellow (2003) Foreign Member, Montenegrin Academy (2018) IPSI Awards (2007-2010) for eGov projects Best Method papers ranked #1 in Google search Supervised PhD students at Purdue, Belgrade, and Valencia Universities, with significant contributions to cache coherence, GaAs processors, and mobile network security. His publications (over 100 SCI papers) have been cited over 4000 times on Google Scholar.

Gabriel ParriauxView profile

Associate Professor

• Computer Science Education
• Didactics of Computer Science
• Educational Robotics
• +3 more

Gabriel Parriaux is an Associate Professor at Vaud Teacher Training College (HEP Vaud) in Switzerland, where he serves as Head of the Unit for Media, Digital Uses and Computer Science Teaching (UER MI). His work focuses on establishing computer science as a formal academic discipline within Swiss schools, moving beyond digital tool usage to understanding foundational computational principles. He plays a key role in developing teacher training programs for computer science education across all school levels. With an academic background spanning Oriental languages (Chinese, Sanskrit) and religious studies, Dr. Parriaux transitioned to computer science education through additional training at the University of Lausanne (UNIL) and EPFL. He is currently completing his doctoral thesis titled "Computer science in primary schools and teacher education" under Professor Éric Bruillard at Université Paris Cité's EDA laboratory. His research examines learning obstacles, teacher representations, effective pedagogical strategies, and curriculum development in computer science education. Recent work has particularly focused on educational robotics, textual analysis of teaching resources, and challenges of delivering computer science teacher training remotely during the pandemic. His publications reveal a strong emphasis on primary education contexts and the development of disciplinary computer science knowledge among future teachers. Dr. Parriaux actively contributes to the Swiss computer science education community as Vice-president of the Swiss Society for Informatics in Education (SSIE) and as an organizer of the Didapro colloquium series. His work bridges educational sciences and computer science, addressing the critical need for well-prepared teachers as computer science becomes institutionalized in Swiss compulsory education.

• Knowledge Graphs
• Natural Language Processing
• Machine Learning
• +3 more

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.

Anna LackingerView profile

Researcher

• Edge Intelligence
• Distributed Inference
• Federated Learning
• +5 more

Anna Lackinger is a PreDoc Researcher and PhD student in the Distributed Systems Group at TU Wien's Faculty of Informatics. Holding a Diplom-Ingenieur (Master's) and BSc from TU Wien, she specializes in edge intelligence and distributed machine learning systems with applications in cloud infrastructure optimization. Education: Diplom-Ingenieur (Master of Science in Engineering), TU Wien, 2023 Bachelor of Science, TU Wien Her research centers on Edge Intelligence and Federated Learning architectures, developing communication-efficient orchestration frameworks for hierarchical learning systems. She pioneers time series prediction techniques for cloud workload forecasting, enabling proactive resource scaling while addressing challenges in heterogeneous IoT environments and communication-constrained distributed systems. Analysis of her publication record reveals consistent focus on adaptive federated learning systems that optimize communication costs while maintaining model accuracy. Her work bridges theoretical AI advancements with practical distributed systems implementations, particularly in edge-cloud continuum scenarios where resource constraints demand innovative orchestration solutions. Professional Service: Reviewer for IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) Reviewer for International Web Information Systems Engineering Conference (WISE) Reviewer for ACM Transactions on Internet Technology (TOIT) Reviewer for IEEE Transactions on Services Computing (TSC) Reviewer for IEEE Internet Computing (IC) Reviewer for IEEE Open Journal of the Computer Society (OJCS) Anna co-advises bachelor's and master's theses in distributed systems and machine learning. She actively contributes to major research initiatives including AloTwin (2023–2025) on reactive federated learning orchestration, INTEND (2024–2026) developing adaptive inference agents, and TEADAL (2022–2025) focused on load-aware federated learning systems. As a core member of TU Wien's Distributed Systems Group, she collaborates on cutting-edge research in edge intelligence and IoT swarm coordination, advancing the RainCloud framework for decentralized heterogeneous IoT systems while contributing to the group's leadership in distributed AI infrastructure.

• Process Mining
• Business Process Management
• Concept Drift
• +3 more

Florian Stertz is a researcher affiliated with the Faculty of Computer Science and the Research Group Workflow Systems and Technology. His work focuses on process mining, business process management, and real-time analytics. Expertise in concept drift detection Specialization in event stream analysis Active in healthcare and manufacturing domains Recent publications highlight advancements in time-aware and data-driven process mining, including constraint discovery and exception handling in industrial workflows. Notable trends include balancing automation with documentation in care processes. In 2022, he participated in a public science talk at Kinderuni, demonstrating engagement beyond academic circles.

Alireza FurutanpeyView profile

Researcher

• Edge Computing
• Edge Intelligence
• Distributed Inference
• +3 more

Alireza Furutanpey is a University Assistant (PreDoc Researcher) at TU Wien's Distributed Systems Group within the Institute of Information Systems Engineering, holding a Master's degree with distinction. His academic role combines research in distributed systems with teaching responsibilities for core computer science courses. His educational background includes: Bachelor of Science (BSc) Master of Science (Dipl.-Ing.) with distinction Furutanpey's research centers on Edge Computing and Edge Intelligence, specializing in Distributed Inference, Neural Data Compression, and AI-Systems integration. He pioneers techniques for neural feature compression in satellite/edge environments and develops frameworks for federated learning orchestration under communication constraints. His work bridges theoretical AI with practical system implementation, focusing on resource-constrained scenarios where bandwidth and computational efficiency are critical. Analysis of his 15+ publications reveals dominant trends in neural compression for distributed systems (60%), federated learning optimization (25%), and serverless edge frameworks (15%). Key contributions include solving satellite downlink bottlenecks through feature compression and enabling adaptive inference in heterogeneous edge networks, with methodologies increasingly incorporating generative modeling and robustness against adversarial attacks. Scientific Awards: None documented in available sources. He actively supervises master's theses, guiding students on adversarial machine learning, neural compression, and image retrieval systems. His research is supported through major projects: AloTwin (2023-2025) focusing on edge intelligence, INTEND (2024-2026) on industrial IoT, and TEADAL (2022-2025) on federated learning. He serves as a reviewer for 15+ IEEE/ACM venues including IEEE Transactions on Mobile Computing and ICDCS. Furutanpey operates within TU Wien's Distributed Systems Group, which specializes in edge-cloud continuum research. The team develops tools like faas-sim for serverless edge simulation and explores quantum-classical hybrid architectures, maintaining strong industry collaborations in industrial IoT and satellite communications.

• Distributed Databases
• Object-Oriented Databases
• Internet Databases
• +9 more

Erich Neuhold is a Professor of Computer Science at the University of Vienna and Darmstadt University of Technology. He holds honorary professorships at several institutions, including the University of Guiyang and the New Jersey Institute of Technology. His career spans over five decades, with roles as Director of the Fraunhofer Institute for Integrated Publication and Information Systems (IPSI) and professorships at multiple universities globally. Education: Erich Neuhold earned a Dipl.-Ing. (M.S.) in Electronics and a Dr.-techn. (PhD) in Mathematics and Computer Science from the Technical University of Vienna. He holds special honors in his academic career, including Fellowships from IEEE and the Gesellschaft für Informatik. Research Interests: His work focuses on distributed databases, object-oriented systems, internet databases, information retrieval, semantic web, interoperability, and applications in digital libraries, e-science, and e-government. He pioneered advancements in transaction models, multimedia databases, and semantic integration frameworks. Publications: Over 200 papers and four books, with recent contributions including retrospectives on computing history and foundational work in supercomputing architectures. His articles reflect deep engagement with historical and future trends in computer science. Awards: Recognitions include the Meritorious Service Award from IEEE, medals from academic institutions, and honorary professorships worldwide. Grants & Labs: Led projects like the POREL distributed database system and contributed to initiatives like the EU’s FRESCO e-science cockpit. His work spans academic-industrial collaborations, with budget leadership at IPSI (€10M/year). Labs/Teams: Co-founded the Fraunhofer IPSI and directed research teams in Austria, Germany, and internationally, emphasizing interdisciplinary collaboration in information systems.

Munindar SinghView profile

Professor

• Artificial Intelligence
• Service-oriented computing
• Sociotechnical systems
• +6 more

Munindar Singh is an Alumni Distinguished Graduate Professor in the Department of Computer Science at North Carolina State University , where he also serves as Co-Director of the DoD-sponsored Science of Security Lablet . His research spans Artificial Intelligence , Multiagent Systems , and Service-Oriented Computing , with applications in Cybersecurity , Privacy , and Social Computing . His research interests focus on ethical and sociotechnical dimensions of AI, including moral reasoning in social contexts , resilient multiagent systems , and responsible computing for sustainability . His work integrates formal methods with machine learning to address challenges in decentralized systems , agent communication , and cyber deception . Recent publications highlight trends in AI ethics , cybersecurity , and social simulation , with subfields like moral judgment analysis , domain adaptation , and metaverse services . These works often bridge technical and societal concerns, emphasizing trustworthy AI and ethical governance . Fellow, American Association for the Advancement of Science (AAAS) (2020) ACM/SIGAI Autonomous Agents Research Award (2020) IBM Shared University Research Award (2018) NCSU Research Leadership Academy Membership (2017) IFAAMAS Influential Paper Award (2016) National Science Foundation CAREER Award (1996) Munindar has held leadership roles, including editor-in-chief of ACM Transactions on Internet Technology and IEEE Internet Computing . His research is funded by sponsors such as DARPA , NSF , and IBM . He co-directs the Science of Security Lablet , a DoD-funded initiative advancing cybersecurity research.