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Cynthia Kenia Arcanjo MarcelinoView profile

Researcher

• Serverless Computing
• Edge-Cloud-Space Continuum
• Internet of Things
• +3 more

Cynthia Kenia Arcanjo Marcelino is a PhD student and Research Scientist at the Distributed Systems Group (DSG) within the Faculty of Informatics at TU Wien. She holds a Bachelor's and Master's degree in Software Engineering & Internet Computing from TU Wien. Her research focuses on serverless computing, edge-cloud-space continuum architectures, and IoT applications. She has industry experience in large-scale distributed systems and cloud solutions. Education: Bachelor of Science in Software Engineering & Internet Computing, TU Wien Master of Science in Software Engineering & Internet Computing, TU Wien Research Interests: Serverless Computing Edge-Cloud-Space Continuum IoT Edge Intelligence Distributed Systems Her work emphasizes scalable serverless architectures and efficient scheduling strategies for distributed environments. Awards & Grants: 2024 IoT Conference Best Paper Award Netidee Project Grant (2024) Advising & Projects: Supervising master's and bachelor's theses on topics like WebAssembly runtime optimization and stateful serverless functions. Active in projects RapidREC and TEADAL focusing on edge-cloud continuum challenges. Labs & Teams: Core member of TU Wien's Distributed Systems Group, collaborating on edge-cloud infrastructure research and open-source tools like CWASI and HyperDrive.

Pantelis FrangoudisView profile

Researcher

• Mobile/Wireless Networking
• Edge Computing
• Network Softwarization
• +4 more

Pantelis Frangoudis is a PostDoctoral Researcher at the Distributed Systems Group of the Vienna University of Technology since 2019. His academic journey includes a Ph.D. in Computer Science (2012), M.Sc. (2005), and B.Sc. (2003) from the Department of Informatics, Athens University of Economics and Business (AUEB) , Greece. His research spans Edge Computing , IoT , Network Softwarization , Federated Learning , and Wireless Networking , focusing on adaptive systems and security. Education B.Sc. in Computer Science (2003), AUEB M.Sc. in Computer Science (2005), AUEB Ph.D. in Computer Science (2012), AUEB His research explores Edge Computing Continuum systems, with emphasis on QoS-aware orchestration , serverless edge deployment , and self-adaptive IoT services . Recent work addresses federated learning for 6G , WebAssembly for edge serverless , and dynamic resource allocation in heterogeneous environments. Key projects include AloTwin (2023–2025), INTEND (2024–2026), and EDENSPACE (2019–2022). His publications (2025–2020) cover machine learning for 5G/6G , MEC application orchestration , and IoT security , with a focus on distributed systems and edge-cloud collaboration . Scientific Awards ERCIM Alain Bensoussan Post-Doctoral Fellowship He has supervised multiple diploma theses at TU Vienna, including topics like serverless edge computing , traffic light AI optimization , and vertical farming IoT systems . His collaborations with institutions like EURECOM (France) and IRISA/INRIA (France) reflect a global academic footprint.

Thomas FahringerView profile

Professor

• Parallel Computing
• Distributed Systems
• High-Performance Computing (HPC)
• +4 more

Thomas Fahringer is a full Professor and Head of the Distributed and Parallel Systems Group at the University of Innsbruck's Institute of Computer Science. His research focuses on parallel computing, distributed systems, and high-performance computing (HPC), with particular emphasis on GPU acceleration, cloud/edge computing, and serverless architectures. He leads interdisciplinary projects involving scientific workflows, resource management systems, and exascale computing solutions. Key research areas include: Design of high-level APIs for accelerator clusters (e.g., Celerity-RSim) Optimization of IoT and LoRa networks using machine learning Scalable key-value stores for geo-distributed systems Workflow scheduling in edge-cloud continuum environments Recent work emphasizes automation of deployments, energy-efficient transmission policies, and fault-tolerant orchestration of serverless functions. He actively participates in community initiatives like the Workflows Community Summit, driving advancements in scientific workflows and HPC ecosystems. His lab develops frameworks such as Apollo and AllScale, targeting exascale computing and distributed runtime systems.

• English Language Studies
• Media Literacy
• Education Policy
• +3 more

Roman Mandelc is a Lecturer at the Institute for English and American Studies (Institut für Anglistik und Amerikanistik) at Alpen-Adria-Universität Klagenfurt. He specializes in media literacy, digital communication, and education policy, with a focus on sociolinguistics and cultural studies. His research often intersects with interdisciplinary fields such as robotics, economics, and health communication. Key projects include leading the 'Forecast model overnight stay forecast' project and contributing to initiatives like the #NoFakeFacts citizen science project promoting media literacy. He has also been involved in studies on sustainable business models, climate change mitigation, and pandemic communication. Mandelc has published extensively in journals like Behavior & Information Technology , Journal of Higher Education Development , and Small Business Economics , with a focus on behavioral science, media effects, and innovation dynamics. His recent work addresses topics ranging from online political avoidance to FMCW radar simulation frameworks. He collaborates with multiple institutions including the Austrian Research Promotion Agency (FFG) and the OeAD, and has presented at international conferences on topics like digital niche marketplaces and entrepreneurial ecosystems. His teaching and research emphasize practical applications of theory in real-world contexts.

• Intelligent Systems
• Networked Systems
• Embedded Systems
• +3 more

Samuele Ghizzo serves as a Tutor at the Alpen-Adria-Universität Klagenfurt (AAU), affiliated with the Department of Intelligent Systems Technologies and the Department of Networked and Embedded Systems within the Faculty of Technical Sciences. His research focuses on interdisciplinary areas including robotics, AI applications, multi-agent systems, and sensor networks. He contributes to projects addressing challenges in autonomous systems, environmental complexity, and applied engineering solutions. Recent work highlights include studies on swarm robotics dynamics, automated sorting systems, and radar technology innovations. While no specific awards are listed, his involvement in funded research projects underscores active participation in technical and academic collaborations.

• Clinical Psychology
• Psychotherapy
• Research Methodology
• +3 more

Hans-Jürgen Fercher is a Lecturer at the Alpen-Adria-Universität Klagenfurt, affiliated with the Department of Clinical Psychology, Psychotherapy, and Psychoanalysis, and the Department of Methodology (teaching roles). His research focuses on clinical psychology, psychotherapy methodologies, and quantitative research techniques. He contributes to interdisciplinary projects involving media literacy, educational innovation, and digital transformation. His work spans academic publications in peer-reviewed journals and conference proceedings, addressing topics like online political behavior, swarmalator systems in robotics, and sustainable entrepreneurial ecosystems. Fercher collaborates on EU and national funded projects, including media literacy initiatives and technology-driven solutions for healthcare and education. His teaching emphasizes practical methodologies and evidence-based approaches in clinical and educational settings. Fercher actively engages in academic community-building through workshops and editorial roles in German didactics and interdisciplinary research.

• Cloud Computing
• Serverless Computing
• Distributed Systems
• +5 more

Ass.-Prof. Dr. Sashko Ristov is an Assistant Professor at the Department of Computer Science, University of Innsbruck. His research focuses on serverless computing, distributed systems, and workflow orchestration, with applications in cloud computing, healthcare informatics, and high-performance computing. He leads research on federated serverless infrastructures, resilient function choreographies, and digital twins in construction engineering. His work addresses challenges in cross-cloud resource management, workflow scheduling, and anomaly detection in microservices. Recent contributions include frameworks like StoreLess for federated storage orchestration and CODE for cross-platform serverless deployment. Research trends in his publications emphasize bi-objective optimization for batch workflows, GPU-accelerated document processing, and disaster-resilient cloud systems. He actively participates in workflows community summits to advance scientific workflow standards and interoperability. Dr. Ristov has collaborated on projects like the Montage workflow analysis and ECG monitoring systems using serverless architectures. His work bridges theoretical computing models with practical implementations in healthcare and civil engineering domains.

• Artificial Intelligence
• Robotics
• Systems Engineering
• +3 more

Peter Pavel Arthur Petráš is a Tutor at the Institute for Intelligent System Technologies within the Faculty of Technical Sciences at the University of Klagenfurt. His research focuses on interdisciplinary applications of artificial intelligence, robotics, and systems engineering, with contributions to fields like swarmalator dynamics, automated systems design, and media literacy in digital environments. He is actively engaged in collaborative projects involving industry partners such as Infineon Technologies Austria AG and the Austrian Research Promotion Agency (FFG), emphasizing practical innovations in technology and education. While not listed as a project head, his role supports cutting-edge research in areas like radar simulation frameworks, garment sorting automation, and multi-agent localization systems. His work bridges theoretical advancements with real-world implementation, particularly in edge-cloud computing and interdisciplinary methodological innovations. Recent publications highlight his expertise in AI-driven solutions, robotics, and the societal implications of digital media. Notable themes include analyzing online political microtargeting avoidance, improving multi-robot exploration algorithms, and exploring poetry workshops in migration research. His contributions align with the University of Klagenfurt’s focus on fostering innovation through its Third Mission initiatives, emphasizing knowledge transfer to regional industries and public sectors. Petráš collaborates on projects addressing societal challenges, such as promoting media literacy through the #NoFakeFacts! Citizen Science initiative and enhancing wind turbine blade inspection via multimedia drones. His work reflects a commitment to both technical innovation and addressing ethical and educational dimensions of emerging technologies.

• Project management
• Organizational psychology
• Educational psychology
• +7 more

Karin Lackner is an Assistant Professor (retired) affiliated with the Institute for Teaching and School Development at the University of Klagenfurt. Her work focuses on educational and organizational psychology, project management, and intercultural dynamics within institutional settings. Research Areas: Organizational and educational psychology Healthcare management Team development strategies Sociodynamic design Sports research Intercultural project management Her scholarly contributions span interdisciplinary research methodologies and practical applications in educational systems. Recent work emphasizes innovation in teaching methodologies and institutional frameworks. Publications include analyses of digital media behavior ( Political Microtargeting Avoidance ), robotics applications ( Swarmalator Systems ), and sustainable business models ( Entrepreneurial Ecosystems ). These reflect her interdisciplinary approach bridging social sciences and technical fields. Grants & Projects: Collaborative research initiatives in education innovation and organizational dynamics (funding sources include Austrian Research Promotion Agency and Carinthian Economic Development Fund). She leads initiatives promoting inclusive educational practices and advises on institutional transformation strategies.

Boris SedlakView profile

Researcher

• Distributed Systems
• Edge Computing
• Service-Oriented Computing
• +5 more

Boris Sedlak is a PostDoc Researcher and Ph.D. student in the Distributed Systems Group (DSG) at TU Wien, Austria. His research focuses on ensuring runtime requirements in large-scale computing systems through causal inference and active inference concepts, with applications in edge computing, vehicular networks, and distributed systems governance. Education: Ph.D. in Computer Science (Ongoing) at TU Wien, funded by the TEADAL EU Horizon project. M.Sc. in Software Engineering & Internet Computing (Distinction) at TU Wien (2018–2022). B.Sc. in Media Informatics at FH St. Pölten, Austria (2015–2018). Research Interests: Boris specializes in distributed computing continuum systems, active inference for system equilibrium, causal inference in distributed environments, edge computing elasticity, and privacy-preserving data stream processing. He explores applying neuroscience-inspired concepts to computing systems for adaptive and self-organizing solutions. Key Projects: TEADAL (2022–2025): Focuses on federated and trustworthy data lakes in distributed systems. INTEND (2024–2026): Investigates intelligent service adaptations through active inference. AloTwin (2023–2025) and FogProtect (2020–2022): Address edge computing security and data governance. Recent Contributions: Boris has published extensively on adaptive stream processing, SLO-aware task offloading in vehicular platoons, and equilibrium models using active inference. His work bridges causal reasoning and system design, emphasizing scalable solutions for heterogeneous edge infrastructures. Advisory & Collaboration: Supervises bachelor/master theses and actively collaborates on topics involving service-level objectives, causal models, and edge intelligence. He has presented at ICSOC, IEEE Edge Computing, and AIoTwin Summer School.