جستجوی استاد راهنمای دانشگاهی

• Brain-Computer Interface
• Biomedical Engineering
• Neuroprosthetics
• +۵ مورد دیگر

Prof. Dr. Gernot R. Müller-Putz is Head of the Institute of Neural Engineering and the Graz Brain-Computer Interface Lab at Graz University of Technology. He serves as Dean of the Faculty of Computer Science & Biomedical Engineering and holds editorial roles at Frontiers in Human Neuroscience IEEE Transactions in Biomedical Engineering Brain-Computer Interface Journal . With over 212 peer-reviewed publications and an h-index of 80, his research focuses on Brain-Computer Interfaces , Neuroprosthetics , and EEG-based Motor Control . His work investigates: Neural signal decoding for spinal cord injury rehabilitation Hybrid BCI systems with error processing Artificial sensory feedback mechanisms Machine learning applications in neural engineering VR-based neurofeedback environments Non-invasive multimodal biosignal recording Research trends show strong emphasis on EEG signal processing , BCI clinical applications , and neurotechnology integration . Scientific Awards : ERC Consolidator Grant (2015) Ludwig-Guttman Award (2017) CYBATHLON Best Paper (2019) State of Styria Research Award (2019) Förderstipendium (2013-2014) He advises 21 PhD students and has managed major projects like MoreGrasp (EU Horizon 2020) , Feel Your Reach (ERC) , and INTRECOM (EU EIC Pathfinder) . The Institute hosts the BCI Racing Team Mirage91 and offers international thesis opportunities.

• Fault-Tolerant Distributed Algorithms
• Digital Integrated Circuits
• Topology
• +۷ مورد دیگر

Ulrich Schmid is a Full Professor and Head of the Research Unit for Embedded Computing Systems at TU Wien. He holds a position in the Faculty of Informatics and leads the department of Embedded Computing Systems (E191-02). His roles include Curriculum Coordinator for the Bachelor and Master programs in Computer Engineering, as well as the Excellence Program Bachelor with Honors. He is also the Chair of the Curriculum Commission for Computer Engineering and a Substitute Member of the Informatics Commission. His research focuses on fault-tolerant distributed algorithms, digital integrated circuits, and topology-based approaches to distributed systems. He coordinates major projects such as the FWF-funded DMAC (2019–2024) and ByzDEL (2020–2025), which integrate topological semantics and hybrid delay models for robust hardware design and distributed system analysis. Schmid has contributed to groundbreaking work in Byzantine fault tolerance, epistemic logic for system recovery, and real-time scheduling through collaborations with researchers like Chatterjee, Függer, and Rajsbaum. Notable awards include the 2018 Edsger W. Dijkstra Prize and the 2021 Principles of Distributed Computing Doctoral Dissertation Award. His research also bridges formal verification techniques with physical hardware implementations, exemplified by projects like HEX (a Byzantine-tolerant clock distribution system) and the Involution tool for timing analysis. Schmid actively contributes to academic governance, advancing rigorous education and research standards in computer engineering. His advising and grant work involve mentoring on fault-tolerant architectures and securing funding from agencies like FWF and the European Commission. Labs and teams under his leadership include the Embedded Computing Systems group, specializing in hardware-software co-design for dependable systems-on-chip, and collaborations with institutions like GSI Helmholtzzentrum and the University of Amsterdam.

• Distributed Systems
• Fault-Tolerant Computing
• Asynchronous Algorithms
• +۳ مورد دیگر

Prof. Ulrich Schmid is a full professor at TU Wien, affiliated with the Forschungsbereich Embedded Computing Systems. His research focuses on distributed systems, fault-tolerant computing, and asynchronous algorithms. He leads projects like 'Asynchronous Distributed Algorithms in the Theta-Model' and 'Gracefully Degrading Agreement in Directed Dynamic Networks.' Prof. Schmid has received honors at TU Wien and actively supervises numerous students in PhD and Master's programs. His academic work spans theoretical foundations (e.g., epistemic logic in Byzantine systems) and practical applications (e.g., digital circuit delay modeling). Key contributions include hybrid delay models for integrated circuits and formal verification frameworks for timed circuits. Collaborations involve institutions like the Institut für Technische Informatik and the E191-02 research group. Notable research areas: Byzantine fault tolerance, consensus protocols, and embedded systems Leadership in 4 major projects addressing distributed computing challenges Recipient of TU Wien honors (2021) Prof. Schmid's lab emphasizes bridging theoretical computer science with hardware-software co-design, producing over 220 publications and 10+ supervised theses since 2000.

Furber Stephenمشاهده پروفایل

استاد

• Computer engineering
• Low-power system design
• Asynchronous digital systems
• +۳ مورد دیگر

Stephen B. Furber is an ICL Professor of Computer Engineering in the Department of Computer Science at the University of Manchester. His research spans advanced processor technologies, focusing on low-power system design, asynchronous digital systems, and neuromorphic computing systems like the million-core SpiNNaker platform. Research Focus: Systems-on-chip, Networks-on-chip, Neural systems engineering Academic Leadership: Head of Department of Computer Science (2001-2004) Scientific Recognition: CBE for services to computer science Fellow of the Royal Society and IEEE Faraday Medal recipient Wolfson Research Merit Award recipient

• Cryptocurrencies
• Blockchain Interoperability
• Blockchain Scalability
• +۳ مورد دیگر

Giulia Scaffino is a PreDoc Researcher in the Security and Privacy group at the Technical University of Vienna (TU Wien). Her research focuses on cryptocurrencies, blockchain interoperability, scalability, off-chain protocols, and decentralized finance (DeFi). She holds an MSc in Nuclear and Particle Physics from the University of Pavia, Italy, and is pursuing a PhD at TU Wien. Before her PhD, she worked as a Salesforce developer at Deloitte Digital in Milan. Giulia is involved in projects such as CDL-BOT (2020–2025), Browsec (2018–2024), CoRaF (2022–2025), and SFB SPyCoDe (2023–2026). Her work includes developing frameworks for cross-blockchain smart contracts, optimizing light clients for DeFi, and creating scalable blockchain bridges. She has contributed to publications on topics like IoT data marketplaces and distributed key generation using zk-SNARKs. Her research trends emphasize solving blockchain scalability challenges through innovative protocols and enhancing interoperability between different blockchain systems. Projects like Glimpse and Alba highlight her focus on efficient, secure, and decentralized solutions for modern blockchain ecosystems.

Frank Pallasمشاهده پروفایل

استاد

• Privacy Engineering
• Policy-Aligned Systems
• Techno-Legal Implications
• +۷ مورد دیگر

Frank Pallas is a Professor at the Paris Lodron University of Salzburg, affiliated with the Faculty of Digital and Analytical Sciences. His research focuses on Privacy Engineering and Policy-Aligned Systems (PEPSys), integrating technical and legal aspects of emerging technologies. Education: Dipl.-Inform. and Dr.-Ing. in Computer Science from TU Berlin His work emphasizes techno-legal privacy engineering , policy-alignment mechanisms , and experimental assessment of privacy techniques , addressing anonymity, utility metrics, and societal impacts. Recent publications explore data anonymization, GDPR compliance, and privacy in distributed systems. Key projects include co-leading Salzburg's EXDIGIT initiative for digital sciences. Activities span organizing international workshops on privacy engineering, media contributions, and third-mission engagements like public lectures on digital privacy.

• Hardware Acceleration
• High-Level Synthesis
• Asynchronous Circuit Design
• +۲ مورد دیگر

Sebastian Michael Wiedemann is a PreDoc Researcher at the Vienna University of Technology, affiliated with the Embedded Computing Systems group. His research focuses on hardware acceleration, asynchronous circuit design, and software-hardware integration techniques. He holds a Diplom-Ingenieur (Dipl.-Ing.) degree and a BSc in Electrical Engineering. His recent work includes publications at the Austrochip Workshop on Microelectronics and a diploma thesis on high-level synthesis tools for asynchronous circuits. His research interests span hardware modeling, GPU computing, and FPGA optimization. Publications highlight advancements in vendor-agnostic preemption mechanisms and asynchronous circuit synthesis methodologies. As a PreDoc Researcher, he contributes to academic projects and teaches courses such as Hardware Modeling and HW/SW Codesign .

Stephen B. Furberمشاهده پروفایل

استاد

• Computer Engineering
• Low-power System Design
• Asynchronous Digital Systems
• +۷ مورد دیگر

Stephen B. Furber is the ICL Professor of Computer Engineering in the Department of Computer Science at the University of Manchester, UK. He previously served as Head of Department from 2001 to 2004. His educational background includes a PhD in aerodynamics from the University of Cambridge (1974-1980), followed by a Rolls-Royce Research Fellowship at Emmanuel College, Cambridge (1978-1981). Prior to his academic career, he worked at Acorn Computer Ltd in Cambridge from 1981 to 1990, where he progressed from hardware designer to head of Advanced R&D. Professor Furber's research focuses on computer engineering with specialization in low-power system design, asynchronous digital systems, systems-on-chip, networks-on-chip, and neural systems engineering. His work is primarily associated with the Advanced Processor Technologies (APT) group at Manchester, which conducts cutting-edge research in many-core systems and neuromorphic computing, including the development of the million-core SpiNNaker brain-modelling machine. His research has significant implications for energy-efficient computing, brain science, and improving the energy efficiency of machine learning and AI applications. The APT group's work addresses challenges posed by the impending end of Moore's Law through advanced architectural techniques. CBE (Commander of the Order of the British Empire), for services to computer science (2008) Member of Academia Europaea (2008) IET Faraday Medal (2007) Fellow of the IEEE (2005) Royal Society-Wolfson Research Merit Award (2004-2009) Royal Academy of Engineering Silver Medal (2003) Fellow of the Royal Society, UK (2002) Fellow of the Royal Academy of Engineering, UK (1999) Professor Furber leads research that bridges hardware design and neural systems engineering. His work on the SpiNNaker platform represents one of the world's largest neuromorphic computing systems, supporting an open service under the European Human Brain Project with global users. He actively collaborates with industry leaders to address challenges in energy-efficient computing at scale. The Advanced Processor Technologies group he is affiliated with conducts research across multiple domains including many-core systems, neuromorphic computing, and parallel and distributed computing. The group welcomes postgraduate students interested in MPhil or PhD studies and seeks collaborations with companies and academic groups.

• Computer Engineering
• Fault-Tolerant Computing
• Asynchronous Logic
• +۷ مورد دیگر

Andreas Steininger is an Associate Professor in the Department of Embedded Computing Systems at TU Wien. His primary research focuses on fault-tolerant computing, asynchronous logic, and dependable systems. He leads the Embedded Computing Systems group and serves as Director of the Curriculum Commission for Computer Engineering. His work emphasizes resilient hardware architectures, radiation effects in microelectronics, and timing domain interfacing. He has contributed to numerous projects with industry partners like Intel and TTTech Auto AG, addressing challenges in trustworthy autonomous systems and robust distributed algorithms. Key research interests include asynchronous circuits, clockless processors, and error detection mechanisms. He has over 50 publications in top-tier conferences and journals, including IEEE Transactions and ASYNC. Notable contributions include methodologies for mitigating single-event transients in QDI logic and fault-tolerant clock generation schemes. He teaches advanced courses in digital design, computer engineering, and scientific research methods. His projects span radiation-hardened ASIC design, metastability analysis in FPGAs, and secure IoT architectures. He actively collaborates with automotive and aerospace industries to develop solutions for embedded systems reliability. Recent work explores fault resilience in neural networks and energy-efficient asynchronous microprocessors.

Claudia Maria Angeleمشاهده پروفایل

دانشیار

• Subject Didactics
• Nutrition Education
• Consumer Education
• +۴ مورد دیگر

Claudia Maria Angele is an Associate Professor at the University of Vienna , Faculty of Life Sciences, Department of Nutritional Sciences. She serves as Vice-Director of Studies for Nutritional Sciences and Deputy Head of the Centre for Teacher Education and Department for Teacher Education. Her work bridges academic research and school practice. Research Profile : Subject Didactics for Household Economics and Nutrition (HÖE), focusing on teaching and learning processes in nutrition, health, household, and consumption contexts. Teaching : Courses include scientific writing, lesson planning, and methodology for HÖE across bachelor's and master's programs. Active since 2020W, with roles in pedagogical-practical studies and curriculum development. Research Focus : Her research emphasizes action orientation , judgment competence , and inclusive education in nutrition and consumer education. Projects include concept cartoons for digital asynchronous learning, school meal diversity, and climate-nutrition integration. Collaborations span the KinderUni-Online platform, Eduthek Austria , and Didactic Service Center for Nutrition Education . Students and Supervision : Supervised 15+ theses (2020-2024) on topics like food waste, judgment skills, plant-based diets, and digital media in education. Students include Andrea Schröckmair, Flora Woltran, Katrin Unger, and Theresa Leuthner. Key Collaborations : Cooperation with GRG 15 (2023-2025), Theresianum Eisenstadt, and KinderUni-Online. Development of open-access learning materials with teams across Austria and Germany.

• Higher Education Systems
• Online Teaching Methodologies
• Workload Management in Education
• +۴ مورد دیگر

Gisela Schutti-Pfeil is a Professor at the Upper Austria University of Applied Sciences, focusing on pedagogical innovations and higher education systems. She has been actively contributing to research on online teaching methodologies, workload management, and learning satisfaction since 2001. Her recent work emphasizes pedagogical adaptations during the pandemic institutionalization of educational innovations optimizing online learning environments She frequently collaborates with colleagues like Barbara Ehrenstorfer and serves as an editor and reviewer for educational conferences, including the annual Tag der Lehre (Teaching Day) events. Key research areas include inverted classroom models, transfer of training, and applied sciences pedagogy.

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).

• Asynchronous Logic
• Real-Time Systems
• VLSI Design
• +۳ مورد دیگر

Markus Ferringer is a Lecturer in the Department of Computer Engineering at Vienna University of Technology. He specializes in asynchronous logic, real-time systems, and fault-tolerant hardware design, with a focus on VLSI implementation and distributed systems. Research Interests: His work explores the integration of asynchronous circuits into real-time systems, emphasizing fault tolerance and reliability. Key areas include self-timed logic, time-triggered protocols, and distributed clock generation. Publications: Markus has published extensively on asynchronous hardware design, interfacing techniques, and process variation impacts. His research spans conferences and workshops such as DSN-W, DDECS, EUROCON, and Austrochip. Projects: He contributed to the ARTS project (2007–2011) supported by the Austrian Research Promotion Agency (FFG) and the THETA project (2004–2008).

Matthias Függerمشاهده پروفایل

استاد

• Computer Architecture
• Embedded Systems
• Digital Circuits
• +۳ مورد دیگر

Matthias Függer is a Professor at the Department of Technical Computer Science within TU Wien's Institute for Technical Informatics. His research focuses on digital circuit design, fault-tolerant systems, and distributed computing. He has contributed to advancements in metastability containment, clock synchronization, and consensus algorithms in dynamic networks. His work bridges theoretical computer science with practical applications in embedded systems and VLSI design. Education details are not explicitly provided, but his academic role suggests a doctoral background. Notable projects include the development of the Involution Tool for timing analysis and collaboration on resilient circuit models under adversarial conditions. His research has been published in prestigious conferences and journals, emphasizing interdisciplinary approaches to solving challenges in asynchronous systems and fault tolerance. Labs/Teams: Network Lab at TU Wien. Advising: Advised Markus Hofstätter on his thesis involving FPGA-based Byzantine fault tolerance.

Jordi Cortadellaمشاهده پروفایل

استاد

• Electronic Design Automation (EDA)
• Concurrency Theory
• Asynchronous Circuits
• +۶ مورد دیگر

Jordi Cortadella is a Full Professor in the Department of Software at the Universitat Politècnica de Catalunya (UPC), Spain. His academic journey spans decades, with a Ph.D. in Computer Science from UPC (1987) and visiting roles at institutions like UC Berkeley and Intel Corporation. A Fellow of the IEEE (2015) and member of Academia Europaea (2013), he specializes in formal methods, concurrency theory, and asynchronous circuit design. His work bridges theoretical and applied research in EDA tools and VLSI systems. Education M.S. in Computer Science, UPC (1985) Ph.D. in Computer Science, UPC (1987) Research Interests : Cortadella's research focuses on algorithms for electronic design automation, asynchronous circuits, and formal methods. Recent publications explore Petri net decomposition, dataflow circuit verification, and ethical frameworks for research governance. His work impacts both theoretical concurrency models and practical applications like FPGA optimization and energy-efficient design. Scientific Awards : Fellow of the IEEE (2015) Member of Academia Europaea (2013) Distinction for University Research Promotion (Catalan Government, 2003) Descartes Prize Finalist (2002) Best Ph.D. Thesis at UPC (1992) National Award for Best Computer Science Student (1986)