جست‌وجوی استاد و پژوهشگر

• Distributed Systems
• Cloud Computing
• Edge Computing
• +۴ مورد دیگر

Thomas Werner Pusztai is a Researcher at the Department of Distributed Systems, TU Wien. His work focuses on cloud-edge continuum systems, serverless computing, and service-level objective (SLO) management. He contributes to projects like RapidREC, TEADAL, and the EU-funded RAINBOW initiative. His research spans distributed scheduling algorithms, edge-cloud resource allocation, and SLO-aware middleware frameworks like Polaris and HyperDrive. Education: Completed a Diploma in Computer Science at TU Wien with a thesis on Model-based design and architecture of fog computing applications (2019). Active in academic conferences, presenting at IEEE/ACM Edge Computing, Cloud, and Fog/Edge events. Research interests include edge computing, cloud-native systems, IoT applications, and optimizing SLO compliance through novel scheduling techniques. His work emphasizes practical frameworks for real-world distributed systems challenges. Projects include developing HyperDrive for serverless function scheduling in 3D edge-cloud spaces, Polaris for SLO-aware microservices orchestration, and SLO Script for complex elasticity-driven SLO implementations.

• Distributed Systems
• Edge Computing
• Serverless Computing
• +۴ مورد دیگر

Stefan Nastic is an Assistant Professor at the Technische Universität Wien (TU Wien), affiliated with the Faculty of Informatics and the Distributed Systems department. He serves as Curriculum Coordinator for the Master’s program in Distributed and Next Generation Computing, and is a Substitute Member of the Curriculum Commission for Informatics. His research focuses on distributed systems, edge computing, serverless computing, IoT, and smart cities. He holds a PhD in IoT cloud systems (2016) and a BSc (not explicitly stated). Key research contributions include frameworks for serverless edge-cloud continuum (e.g., HyperDrive, GoldFish), federated learning applications (e.g., adaptive human activity recognition), and IoT infrastructure governance (e.g., Polaris Scheduler). He leads projects like RapidREC (2023–2025) on supply chain optimization and participates in initiatives like TEADAL (2022–2025) for edge-cloud workflows. Publications span 30+ peer-reviewed articles in top venues like IEEE IoT, ACM, and IEEE Cloud. He supervises graduate students on stateful serverless functions, federated learning, and edge-cloud scheduling. His work addresses challenges in resource management, latency reduction, and scalable distributed systems.

• Distributed Systems
• Service-Oriented Computing
• Cloud Computing
• +۳ مورد دیگر

Marco Aiello is affiliated with the Vienna University of Technology (TU Wien), Department of Distributed Systems within the Faculty of Informatics. His work focuses on distributed systems, service-oriented computing, and cloud computing, with contributions to edge computing and IoT. He has edited multiple conference proceedings, including the 2023 SummerSOC conference and the 2016 Service-Oriented and Cloud Computing volume. His research includes projects like TEADAL (2022–2025) and SM4ALL (2008–2011), exploring middleware for pervasive environments and home automation. Aiello has authored influential papers on web service indexing, QoS composition, and embedded systems. He received the 2006 Web Service Challenge award for his indexing work. Education details: PhD in Informatics (not explicitly listed but inferred from role). His research interests span distributed systems' theoretical foundations and practical implementations, emphasizing accessibility and scalability. Recent publications highlight trends in serverless architectures and edge-based IoT processes. He is actively involved in academic publishing, serving as an editor and conference organizer. Key Projects : TEADAL (2022–2025), SM4ALL (2008–2011) Awards : 2006 Web Service Challenge (2nd place) Grants : FFG-funded project (2009–2011) Labs/Teams: Part of TU Wien's Distributed Systems research group, collaborating on middleware and service-oriented technologies.

• Edition and literary writing processes
• Archive and cultural memory
• German literature from the 18th to 21st centuries
• +۴ مورد دیگر

Anke Bosse is a Professor at Alpen-Adria-Universität Klagenfurt, holding positions in the Faculty of Cultural and Educational Sciences and the Department of Linguistics and Literature. She leads the Robert Musil Institute for Literary Research and the Carinthian Literary Archive. Her research focuses on literary writing processes, cultural memory, German literature from the 18th to 21st centuries, and intermediality. She has contributed to over 35,000 publications, with recent work spanning robotics, legal commentaries, and educational theory. Her current projects include studies on media literacy and archival practices. Bosse’s work bridges literary analysis with interdisciplinary approaches, emphasizing the intersection of cultural heritage and modern digital methods. Education: Not explicitly listed in the provided text, but inferred through her academic rank and publications. Research Interests: Editions of literary works, archival methodologies, intertextuality, and transnational cultural studies. Her recent articles explore topics like multi-robot systems and legal frameworks for startups, reflecting her interdisciplinary reach. Grants & Projects: Leads projects such as the citizen science initiative #NoFakeFacts! and contributes to legal commentary on tax and corporate law. Active in collaborative research with institutions like the Austrian Research Promotion Agency (FFG). Labs/Teams: Directs the Robert Musil Institute, a hub for literary research and archival work in Carinthia.

• Statistics
• Applied Statistics
• Geostatistics
• +۳ مورد دیگر

Albrecht Gebhardt is an Assistant Professor in the Department of Statistics at Alpen-Adria-Universität Klagenfurt. He serves as deputy director of the Institute for Statistics and is a member of the Mathematics Curriculum Commission. His research focuses on applied statistics, geostatistics, and methodological innovations in statistical analysis. He actively contributes to academic administration, curriculum development, and interdisciplinary research projects. Recent work spans topics like algorithmic targeting in political communication, multi-robot systems, and healthcare workforce dynamics. His publications reflect a broad engagement with data-driven methodologies across disciplines such as computer science, social sciences, and engineering. Current research emphasizes practical applications of statistical methods in complex systems analysis.

Thomas Rauschمشاهده پروفایل

مدرس

• Edge Computing
• Cloud Engineering
• Artificial Intelligence Systems
• +۳ مورد دیگر

Thomas Rausch is an External Researcher and former University Assistant at TU Wien's Distributed Systems Group (Faculty of Informatics). He holds a PhD in Computer Science (2021) and master's degree in Software Engineering from TU Wien (2016). His work focuses on edge computing, cloud engineering, and AI systems, with notable contributions to frameworks like LocalStack and CognitiveXR. Education: M.Sc. in Software Engineering & Internet Computing (2016), Ph.D. in Computer Science (2021 – TU Wien). Research Interests: Edge computing systems, distributed interactive systems, cognitive augmentation, and cloud-edge AI integration. He has pioneered privacy-preserving edge systems and serverless platforms for data-intensive workloads. Publications: Over 20 peer-reviewed articles on edge computing frameworks, privacy-aware systems, and large-scale AI operations. Recent work includes faas-sim (2023) and Mobility-Aware Serverless Adaptions (2022). Awards: SEC 2019 Best Demo Award, 2020 Netidee Grant, Finalist TU Wien Teaching Awards. Grants: Netidee Grant (2020), CPS/IoT Ecosystem collaboration (2019–present). Teams: Founded CognitiveXR (edge-AI platform) and co-founded LocalStack (serverless testing).

Alireza Furutanpeyمشاهده پروفایل

پژوهشگر

• Edge Computing
• Edge Intelligence
• Distributed Inference
• +۳ مورد دیگر

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.

Philipp Alexander Raithمشاهده پروفایل

پژوهشگر

• Edge Intelligence
• Edge Computing
• Serverless Edge Computing
• +۱ مورد دیگر

Philipp Alexander Raith is a PreDoc Researcher and PhD student at the Distributed Systems Group of the Institute of Information Systems Engineering at Vienna University of Technology (TU Wien). His research focuses on edge intelligence, serverless edge computing, and AI operations, with a strong emphasis on resource optimization and infrastructure management across the edge-cloud continuum. BSc in Software Engineering (2018) from TU Wien MSc in Software Engineering & Internet Computing (2021) from TU Wien Research Interests encompass: Edge Intelligence Serverless Edge Computing AI/ML Operations Resource-aware Scheduling Distributed Systems Computing Continuum Publication Trends highlight his work in edge-cloud orchestration, neural feature compression, and quantum computing integration. Key areas include elasticity, serverless frameworks, and energy-aware architectures. Scientific Awards : UCC 2022 Best Paper Award SEC 2019 Best Demo Award 2020 Netidee Grant Winner Shortlisted for TU Wien Distinguished Young Alumnus Advising : Supervised multiple Master’s theses on edge-cloud autoscaling, AI workloads, mobile edge computing, and resource-aware offloading. Projects : Key contributor to AUTO-Cloud (2013–2025) and RAINBOW (2020–2022) projects.

• Marketing
• Market Research
• Corporate Management
• +۸ مورد دیگر

Professor Ralf Terlutter is a faculty member at the University of Klagenfurt's Faculty of Economics and Law, leading the Department of Marketing and International Management. He holds multiple roles, including Head of the International Management program, Coordinator for International Relations, and Director of the Institute for Management. His research focuses on marketing, corporate social responsibility, health communication, consumer behavior, and media effects. Key areas include cross-cultural advertising, sustainable business ecosystems, and digital transformation. He has led numerous funded projects, such as the 'NoFakeFacts!' citizen science initiative promoting media literacy. His work bridges academic research with practical applications in business and healthcare. Notable contributions include studies on political microtargeting avoidance, robotic automation in logistics, and pandemic-era healthcare workforce challenges. Research Interests: Professor Terlutter’s interdisciplinary research spans health marketing, CSR communication, and media convergence. He explores how cultural dimensions influence advertising effectiveness and investigates technological advancements like AI in healthcare and robotics. Recent projects emphasize sustainability in entrepreneurial ecosystems and the ethical implications of digital advertising. Grants & Projects: NoFakeFacts! (2025–2028): Promotes media literacy among youth through citizen science. Heterogeneous multi-agent localization (2025–2028): FFG-funded robotics research for GPS-disturbed environments. Wind Turbine Blade Inspection (2025–2028): FFG project using drones for maintenance optimization. Teams & Labs: Leads the Institute’s Marketing and International Management Unit, fostering collaborative research initiatives with industry partners like Infineon Technologies and NOI AG. Engages in international networks through Erasmus+ programs and OeAD-funded projects.

Andrea Morichettaمشاهده پروفایل

پژوهشگر

• Machine Learning
• Distributed Systems
• Edge Computing
• +۷ مورد دیگر

Andrea Morichetta is a University Assistant (Postdoc) at the Institute of Information Systems Engineering, Technische Universität Wien, Austria. He leads research in distributed systems, focusing on the intersection of machine learning and systems design. His work emphasizes edge computing, cloud-native systems, and AI-driven resource management. Education: PhD in Electrical, Electronics, and Communications Engineering (Politecnico di Torino, 2020), supervised by Prof. Marco Mellia. Visiting researcher at Cisco (2017), AIT (2019). Research Interests: ML for cloud/edge systems, federated learning, predictive scaling, cybersecurity in distributed environments, and intent-based systems management. Recent work explores multi-dimensional elasticity in stream processing, asynchronous federated learning, and self-referential digital anatomies. Teaching: Courses include Distributed Systems (VO), Distributed Systems Technologies (VU), and project/seminar courses (SE/PR). Actively supervises bachelor/master theses on topics like federated learning, edge computing, and serverless architectures. Key Contributions: Developed Polaris scheduler for SLO-aware edge scheduling, FL-SERENADE for network anomaly detection, and RainCloud for IoT swarm coordination. Co-authored over 50 peer-reviewed papers in top venues (IEEE Cloud, SOSE, ICSOC). Awards: 2019 Best Poster Runner-Up (TMA Paris), 2018 Best Student Paper (ITC Vienna).

Cynthia Kenia Arcanjo Marcelinoمشاهده پروفایل

پژوهشگر

• Serverless Computing
• Edge-Cloud-Space Continuum
• Internet of Things
• +۳ مورد دیگر

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 Frangoudisمشاهده پروفایل

پژوهشگر

• Mobile/Wireless Networking
• Edge Computing
• Network Softwarization
• +۴ مورد دیگر

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 Fahringerمشاهده پروفایل

استاد

• Parallel Computing
• Distributed Systems
• High-Performance Computing (HPC)
• +۴ مورد دیگر

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
• +۳ مورد دیگر

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
• +۳ مورد دیگر

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.