جست‌وجوی استاد و پژوهشگر

• Reconfigurable Computing
• FPGA Accelerators
• Parallel and Distributed Computing
• +۳ مورد دیگر

Viktor Prasanna is the Charles Lee Powell Chair in Engineering and Professor of Electrical and Computer Engineering and Computer Science at the University of Southern California. He holds courtesy appointments in Computer Science and leads the Center for Energy Informatics, focusing on interdisciplinary research linking energy technologies, computer science, and engineering. Education: BE in Electronics (Bangalore University), ME (Indian Institute of Science), PhD in Computer Science (Pennsylvania State University) His research spans reconfigurable computing, FPGA accelerators, parallel and distributed systems, and big data applications. He has pioneered high-performance architectures and algorithms using FPGAs, impacting domains like networking, security, HPC, and machine learning. Prasanna has published over 600 papers, received 22 best paper awards, and secured >$50M in grants. His work emphasizes energy-efficient computing, with recent grants totaling $12.9M (2016–2021). His h-index is 73, with 23,454 total citations. Scientific Awards: IEEE Fellow, ACM Fellow, AAAS Fellow, W. Wallace McDowell Award, multiple Distinguished Alumnus Awards He has advised over 70 doctoral students and led major centers including CiSoft (Big Data in oilfield tech) and CAST. His editorial roles include Editor-in-Chief of IEEE Transactions on Computers and Journal of Parallel and Distributed Computing.

• 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.

• Quantum Computing
• Edge Computing
• Distributed Systems
• +۲ مورد دیگر

Dr. Vincenzo De Maio is a PostDoc Researcher at the Department of Computational Sustainability, Faculty of Informatics, Technische Universität Wien. His research spans quantum computing, edge computing, distributed systems, and sustainable computing, with a focus on hybrid quantum-classical systems and edge AI applications. Current projects: HPQC (2023–2025), ThEMIS FWF (2024–2027), TRITON FWF (2023–2027) Previous projects: RUCON (2016–2023), SWAIN (2021–2024) His research explores the integration of quantum computing with classical systems, particularly in software engineering, workflow decomposition, and hyperparameter optimization. He also works on edge computing for smart cities, environmental monitoring, and traffic safety applications. Recent publications analyze quantum compilation bottlenecks, hybrid quantum-classical workflow orchestration, and quantum neural network optimization. He supervises master's theses on topics like quantum edge benchmarking and hyperparameter tuning. Key collaborations with Prof. Ivona Brandic and others Active in IEEE/ACM conferences and Springer publications

• Research Data Management
• Semantic Web Technologies
• Machine Learning
• +۳ مورد دیگر

Tomasz Miksa is a researcher affiliated with TU Wien's Department of Research Data Management, focusing on machine-actionable data management plans (maDMPs), semantic web technologies, and data reproducibility. He collaborates extensively on projects involving automated assessment of data management workflows, FAIR data implementation, and privacy-preserving analysis platforms. Primary affiliation: TU Wien Department: Research Data Management Key projects: WellFort, FAIR Data Austria, openEO API His research integrates semantic technologies with data governance to enhance reproducibility in scientific workflows, particularly in domains like environmental monitoring and legal informatics. Recent publications emphasize ontological frameworks (DCSO), API harmonization, and auditable machine learning systems. Notable collaborative works include: Reproducibility standards for soil moisture data Knowledge graph applications in cyber-physical energy systems Dynamic data citation mechanisms He supervises students in theses related to maDMP integration, data citation frameworks, and institutional research data planning architectures.

• 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.

• Information Systems Engineering
• Logic and Computation
• Smart Grids
• +۳ مورد دیگر

Prof. Sandford Bessler is affiliated with the Technische Universität Wien's Faculty of Informatics, specifically within the Compilers and Languages department. His research focuses 75% on Information Systems Engineering and 25% on Logic and Computation. He teaches courses such as Bachelor Thesis for Informatics and Business Informatics . His work emphasizes smart grids, electric vehicle management, scheduling algorithms, and distributed systems. Research interests include optimizing energy networks, resilience in power grids, and integrating renewable energy systems. He has contributed to projects like ARTE (2012–2017) , exploring disruption-tolerant vehicle-infrastructure communication. Supervised theses include Electric vehicles recharge scheduling with time windows and A service overlay network for telematic applications . Key projects involve improving grid resilience through demand-side management and collaborative frameworks. He collaborates with industry and academia on smart grid technologies and electric vehicle infrastructure.

• Smart Farming
• Explainable Artificial Intelligence
• Digital Agriculture
• +۷ مورد دیگر

Thomas Neubauer is a PostDoc Researcher at the Department of Information Systems Engineering, Technische Universität Wien. His research focuses on Smart Farming, Explainable AI, and Digital Agriculture with applications in precision livestock farming and sustainable agricultural systems. He leads projects on Precision Livestock Farming (PLFDoc), Legume-cereal intercropping, and Agricultural Photovoltaics integration (PlusIQ). Key projects include: Austrian Competence Centre for Feed and Food Quality, Safety & Innovation (2025–2028) Austrian Science Fund (FWF)-funded work on legume-cereal intercropping (2023–2027) EU-funded ICT4DecisionMaking in Farming (2017–2021) His research spans Digital Twin development for agriculture, machine learning in crop rotation planning, and data security solutions for e-Health. He has supervised over a dozen PhD and Master’s students since 2007. Notable publications include work on reinforcement learning for crop optimization and digital twin frameworks in smart farming.

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.

Fikret Basicمشاهده پروفایل

پژوهشگر

• Battery Management Systems
• Wireless Communication Security
• Embedded Systems
• +۳ مورد دیگر

Fikret Basic is a researcher at the Institute of Technical Informatics at TU Wien, specializing in cybersecurity for embedded systems and battery management systems (BMS). His work focuses on integrating RFID, NFC, and secure communication protocols into industrial and automotive applications. He has led/co-led multiple EU-funded projects including SPiDR, OPEVA, and Intelligent & Networked Embedded Systems. Basic has published extensively at IEEE conferences and received awards such as Scientist of the Year 2024 and AVL Hans List Fonds Preis 2023. His contributions span secure data acquisition, wireless BMS architectures, and authentication mechanisms for IoT devices. Research interests include: Battery Management Systems, Cybersecurity for Industrial Networks, RFID/NFC Applications, Embedded System Security, and IoT Architecture Design. He actively participates in workshops like SPICES 2024 (as Chair) and peer reviews for conferences like EuroPLoP. Basic holds a Dipl.-Ing. (Diploma in Engineering) and a Dr.techn. (Technical Doctorate) in electrical engineering. Projects: SPIDR2 (2025-2028), OPEVA (2023-2025), SPiDR (2021-2024) Grants: AVL Hans List Fonds, Austrian Research Promotion Agency Labs/Teams: Member of TU Wien's Embedded Systems Security Group, collaborates with industrial partners like AVL List GmbH Media engagements include a TV interview in Bosnia discussing academic career paths and a feature in Kleine Zeitung highlighting IT talent development.

• Reconfigurable Computing
• Parallel Computing
• FPGA Accelerators
• +۴ مورد دیگر

Prasanna Viktor is a Professor of Electrical and Computer Engineering and Computer Science at the University of Southern California (USC), holding the Charles Lee Powell Chair in Engineering. He also serves as Director of the Center for Energy Informatics and has held leadership roles in interdisciplinary research centers such as the USC Infosys Center for Advanced Software Technologies. With a BE from Bangalore University, ME from Indian Institute of Science, and PhD from Pennsylvania State University, he is a globally recognized expert in reconfigurable computing, FPGA accelerators, and parallel computing. His research focuses on high-performance architectures for applications in networking, security, HPC, and machine learning. Over 25 years, he has secured research grants totaling over $50M, including $12.9M from 2016–2021. He has advised over 70 doctoral students and published over 600 papers, earning 22 best paper awards. His work has led to IP cores with improved throughput, latency, and energy efficiency. Prasanna is a Fellow of the IEEE, ACM, and AAAS, and an elected member of Academia Europaea. He has received prestigious awards such as the W. Wallace McDowell Award (2015) and the Distinguished Alumnus Award from IISc (2019). He currently serves as Editor-in-Chief of the Journal of Parallel and Distributed Computing. He leads interdisciplinary efforts in energy informatics and smart oilfield technologies, bridging computer science, engineering, and energy sectors. His contributions include foundational work in reconfigurable computing and FPGA-based accelerators for diverse applications.

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).

• Distributed Automation
• Industry 4.0
• Smart Grids
• +۸ مورد دیگر

Wolfgang Kastner is a Full Professor at the Department of Automation Systems, Faculty of Informatics, Vienna University of Technology (TU Wien). His research focuses on Distributed Automation, Industry 4.0, Smart Grids, IoT, and Cybersecurity in Industrial Systems. He is affiliated with TU Wien and actively contributes to projects funded by institutions like the Austrian Research Promotion Agency (FFG) and TÜV Austria. His work spans safety, security, and integration challenges in IT/OT convergence. Research interests include Industrial Automation, Cyber-physical Systems, and IoT applications. He leads projects such as the TÜV AUSTRIA Security in Industry Research Lab and collaborates on initiatives like FORA (Fog Computing for Robotics) and DiCYCLE (Digitalization in Construction). His research addresses energy efficiency, fault detection, and semantic integration in industrial and building automation systems. Key projects include: Unleashing Sector-coupling Flexibility (2023–2027) Contextual Deep Learning for Predictive Analytics (2023) Semantics-based Explanation of Cyber-physical Systems (2023–2025) His contributions to standards like Asset Administration Shell (AAS) and AutomationML (AML) highlight his role in bridging theoretical and applied cybersecurity and safety engineering.

• Real-Time Systems
• Embedded Systems
• Worst-Case Execution Time (WCET) Analysis
• +۵ مورد دیگر

Overview Peter Puschner is a full Professor at the Faculty of Informatics at TU Wien, specializing in Computer Engineering and Real-Time Systems. He serves as Faculty Representative for Research and Infrastructure, overseeing strategic initiatives in informatics research and infrastructure development. His academic role also includes leading the Service Unit Infrastructure (E199-02) and heading the Cyber-Physical Systems department (E191-01). Education and Roles Puschner holds a Diplom-Ingenieur (Dipl.-Ing.) and a Dr.techn. from TU Wien, alongside the title Ao.Univ.Prof. His roles include teaching and supervising students in advanced topics such as Operating Systems, Real-Time Systems, and Scientific Research methodologies. He has been actively involved in curriculum design for Computer Science and Business Informatics programs. Research Interests His research focuses on: Timing Analysis: WCET analysis for real-time systems, especially in multi-core and mixed-criticality environments. Embedded Systems: Designing time-predictable architectures for safety-critical applications. Communication Networks: Time-triggered protocols for automotive and industrial systems. Publications and Tools Puschner has authored over 160 publications, including seminal work on the Platin WCET analysis tool and the T-CREST multi-core architecture. His recent work emphasizes compiler-driven timing predictability and dual-path code paradigms. Grants and Awards Recipient of the Marie-Curie Fellowship (2003) and a founding member of the IFIP 10.2 WG on Embedded Systems. His projects have been funded by the EU (e.g., T-CREST, Multicores Partitioning), FWF, and industry collaborations. Students and Supervision He has supervised numerous PhD and Master’s students, including Elias Maroun (2024), Matthias Platzer (2022), and Bledar Cilku (2018). Key topics include WCET analysis, memory hierarchy design, and secure communication protocols. Labs and Teams Puschner leads the Real-Time Systems Lab, collaborating with industry partners (e.g., automotive, aerospace) to develop safety-critical embedded systems. His team contributes to open-source tools like Platin and the Patmos processor.

• Privacy in Smart Grids
• Machine Learning
• Differential Privacy
• +۶ مورد دیگر

Günther Eibl is a Senior Lecturer and Senior Researcher at the Salzburg University of Applied Sciences , affiliated with the Department Information Technologies and Digitalisation . He serves as Head of Research Group and Deputy Head of the Center for Secure Energy Informatics , combining 50% teaching and 50% research responsibilities. Education: MSc in Mathematics (Numerics Thesis) MSc in Physics (Plasma Physics Simulation Thesis) PhD in Machine Learning (Multiclass Boosting Thesis) Research Interests focus on Privacy in Smart Grids , including: Privacy Analyses – Using machine learning and statistics to extract information from load profiles. Privacy-Enhancing Technologies (PETs) – Historically focused on homomorphic encryption, masking, differential privacy, and wavelet analysis; current research emphasizes privacy-preserving price calculation and proving privacy properties of protocols. Scientific Contributions span 15+ years, with recent work (2025–2021) addressing: Privacy threat modeling for renewable energy communities Smart meter data anonymization Blockchain-based secure aggregation Game-theoretic privacy proofs Differential privacy in load forecasting Intrusion detection in power grids Skills include cryptography, data mining, and energy informatics, with a strong emphasis on visualization and applied statistics . He teaches applied mathematics , applied statistics , and data mining in bachelor and master programs.

• 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.