Find Academic Supervisors

• Formal Methods
• Software Engineering
• Machine Learning
• +3 more

Eva Schenner is a Researcher at TU Wien's Department of Software Engineering, affiliated with both the Office Services and eduLAB teams. She specializes in formal methods, program analysis, and machine learning applications in software engineering. Her work focuses on testing tools, smart contract certification, and probabilistic models for material design. She has led multiple high-profile projects, including the FWF-funded 'Types4Strings' (2024–2027), WWTF's 'Effective Formal Methods for Smart-Contract Certification' (2023–2027), and an Amazon Research Award project on testing Dafny (2024–2027). Her research also spans metamorphic testing of machine-learning models and probabilistic hybrid models for material design. Education: Mag.a phil. (Master of Philosophy) Her awards include Amazon and Google Research Awards, and grants from the WWTF and Max-Planck-Gesellschaft. She actively contributes to initiatives like Bebras, promoting computational thinking education since 2007. Labs/Teams: Involved in the Software Engineering group within the Faculty of Informatics, collaborating with industry partners like Amazon and Google.

• Algorithms
• Graph Theory
• Computational Complexity
• +2 more

Manuel Sorge is a Research Fellow in the Faculty of Informatics at Vienna University of Technology, affiliated with the Algorithms and Complexity group (E192-01). His research focuses on parameterized algorithms, graph theory, and computational complexity, with particular emphasis on graph modification problems, clustering algorithms, and combinatorial optimization. His work spans several areas including graph drawing, algorithmic game theory, and machine learning. Research interests include: Parameterized complexity and kernelization Graph algorithms and combinatorial optimization Algorithmic graph theory and discrete mathematics Computational geometry and graph drawing Supervises master's students in algorithm design and complexity theory. Current projects include Parameterized Graph Drawing (2023–2027).

Stefan SchulteView profile

Associate Professor

• Data Engineering
• Elastic Computing
• Internet of Things (IoT)
• +6 more

Stefan Schulte is an Associate Professor at TU Wien's Faculty of Informatics, holding a habilitation in Computer Science. His roles include Vice Dean of Academic Affairs for Business Informatics. He earned a diploma in economics, bachelor's in Computer Science from the University of Oldenburg, and master’s from the University of Newcastle. He completed his PhD at TU Darmstadt and habilitation at TU Wien. His research focuses on data engineering, elastic computing, IoT, QoS/QoE, fog computing, and blockchain for data provenance. He leads projects like SIMPLI-CITY and CREMA, coordinating EU-funded initiatives. Education: Diploma in Economics (Oldenburg), BSc Computer Science (Oldenburg), MSc Information Technology (Newcastle), PhD (TU Darmstadt, 2010), habilitation (TU Wien, 2018). Research Interests: Data stream processing in IoT and smart systems Elastic computing frameworks for cloud/fog environments Blockchain applications for verification and interoperability QoS optimization in distributed systems Smart mobility and manufacturing systems Publications: Over 100 refereed papers in top venues like IEEE Transactions on Services Computing and VLDB. Recent work emphasizes fog computing architectures and cross-blockchain solutions. Awards: Multiple best paper awards (ESOCC 2020, Blockchain-2020), teaching recognition, and prestigious awards for student theses (OCG Incentive Award, Vienna City Awards). Grants/Advising: Coordinated EU projects SIMPLI-CITY and CREMA, supervised over 30 theses. Active in PhD supervision for Cyber-Physical Production Systems. Labs/Teams: Director of TU Wien's Distributed Systems Group (DSG), leading Fog Computing and Blockchain research initiatives.

• Cryptography
• Blockchain Technology
• Information Security
• +3 more

Georg Fuchsbauer is an Associate Professor at TU Wien's Department of Information Security, specializing in cryptography and privacy-preserving technologies. He coordinates research in Security and Privacy within the E192-06 Information Security group. His work focuses on cryptographic protocols, blockchain technology, and formal security proofs. He leads projects like COnFIDE (2020–2027) and SFB SPyCoDe (2023–2026), funded by the Vienna Science and Technology Fund (WWTF). His research addresses challenges in digital signatures, transaction privacy, and lightweight cryptographic systems. Notable contributions include advancements in Mimblewimble protocol security and blind Schnorr signatures. Teaching includes courses like 'Introduction to Cryptography' and 'Advanced Cryptography,' alongside supervising student theses on topics like zk-SNARKs and Falcon's physical security.

Miodrag MihaljevicView profile

Research Professor

• Cryptology
• Information Security
• Blockchain Technology
• +12 more

Miodrag Mihaljević is a Research Professor at the Mathematical Institute , Serbian Academy of Sciences and Arts (Belgrade, Serbia) since 1999, and serves as Deputy Director of the Institute and Head of the National Center for Cyber Security and Privacy . He has held visiting positions at institutions including The University of Tokyo (1997-2023), AIST (2006-2013), and Chuo University (2013-2014), with a focus on cryptology and information security. BSEE (1979), University of Belgrade MS (1981) and Ph.D. (1990) in Electrical Engineering His research spans Cryptology , Blockchain Technology , Information Security , and Coding Theory , with significant contributions to symmetric key cryptography, stream ciphers, LPN problem analysis, broadcast encryption, and lightweight authentication protocols. His work addresses applications in IoT, cloud computing, and smart grid security, often integrating blockchain for data integrity and access control. Recent publications highlight blockchain-enabled solutions for smart contract vulnerability detection (2025), cross-chain identity authentication (2025), and secure inference in IoT (2025). Earlier works focus on cryptographic attacks (e.g., fast correlation, algebraic attacks) and security frameworks for software-defined radio and cloud systems. Scientific recognition includes the Serbian Academy of Sciences and Arts Award (2013), JSPS Fellowship (1998), and consistent inclusion in the World's Top 2% Scientists (2020-2024). He has led projects on cryptographic techniques for information security (2002-2019) and holds multiple international patents in encryption/decryption systems.

Shi PengView profile

Professor

• Automation and control systems
• Cyber-physical systems
• Hybrid systems
• +7 more

Peng Shi is a distinguished academic holding dual professorial positions: Distinguished Professor at Obuda University, Hungary, and Professor leading the Systems and Control Group at the School of Electrical and Electronic Engineering, The University of Adelaide, Australia. His career spans over three decades, with prior roles including Professorships at Victoria University and the University of Glamorgan, and senior research roles at the Defence Science and Technology Organisation (Australia). Education: He earned a BSc in Applied Mathematics (Harbin Institute of Technology, 1982), MSc in Systems Engineering (Harbin Engineering University, 1985), PhD in Electrical Engineering (University of Newcastle, 1994), and second PhD in Mathematics (University of South Australia, 1998). He also holds two higher doctorates: Doctor of Science (University of Glamorgan, 2006) and Doctor of Engineering (University of Adelaide, 2015). Research focuses on systems and control theory, with applications to autonomous systems, robotics, cyber-physical systems, and network security. Key areas include multi-agent systems, hybrid systems, and fuzzy logic. He directs labs in Advanced Unmanned Systems and Cyber-Physics-Human Systems at the University of Adelaide. Notable awards include the 2024 Nobert Wiener Award, 2023 Meritorious Service Award (IEEE SMC Society), and consecutive Highly Cited Researcher recognition (2014–2020). He serves as Editor-in-Chief of IEEE Transactions on Cybernetics and holds fellowships from IEEE, IET, and Engineers Australia. Over 100 invited talks and editorial leadership across top journals like Automatica and IEEE Transactions underscore his global influence. Labs/Teams: Leads the Laboratory of Advanced Unmanned Systems and Laboratory of Cyber-Physics-Human Systems at the University of Adelaide. Active in IEEE SMC Society governance, serving as Vice President and Distinguished Lecturer.

Sebastian HeidebrechtView profile

Researcher

• EU Digital Policy
• European Economic Governance
• Monetary Policy
• +3 more

Dr. Sebastian Heidebrecht is a University Assistant and Postdoctoral Researcher at the Centre for European Integration Research (EIF) within the University of Vienna’s Department of Political Science. His research focuses on EU policies for the digital age, economic governance, and the political role of institutions like the European Central Bank (ECB). He holds a Ph.D. from the University of Duisburg-Essen and has taught at multiple institutions including the Vienna School of International Studies and Heinrich-Heine University Düsseldorf. Education: Ph.D. in Political Science, University of Duisburg-Essen (2019) Studies at University of Jena and Sciences Po Paris Guest researcher at Max-Planck Sciences Po Centre and German Institute for International and Security Affairs Research Interests: Explores how actors and institutions shape Europe’s digital transformation, with emphasis on EU policies for the digital single market, platform work regulation, and the ECB’s evolving role in economic governance. His work bridges theoretical insights with policy analysis, particularly in post-crisis institutional reforms and digital sovereignty debates. Teaching & Supervision: Taught over 30 courses on EU economics, digital policies, and monetary governance. Supervised 20+ bachelor’s theses and 15+ master’s theses, currently advising students on EU digital and monetary policy topics. Public Engagement: Regular contributor to media discussions on EU digital policies and economic governance. Organized conferences like the 2017 workshop on the ECB’s political role, and participates in outreach programs for policymakers and diplomats through the EIF and Diplomatic Academy of Vienna. Labs/Teams: Core member of the EIF, co-convener of the UACES EU Digital Governance Network (2025–), and collaborates with institutions like Princeton University and the German Institute for International and Security Affairs.

• Rhinology
• Neoplasm
• Face Development
• +5 more

Professor Cem Meco is a distinguished academic and clinician affiliated with the University Clinic for Ear, Nose and Throat Diseases at Salzburger Landeskliniken (SALK). Holding the professional designation FEBORL-HNS (Fellow of the European Board of Oto-Rhino-Laryngology - Head and Neck Surgery), he has established himself as a leading expert in otolaryngology with a particular focus on complex sinus and skull base procedures. Dr. Meco's research interests span multiple specialized areas within otolaryngology, including Rhinology, Neoplasm, Face Development, Olfaction, Skull Base, Sphenoid, Skull Surgery, and Monoclonal Antibody Therapy. His work demonstrates a strong emphasis on developing classification systems, surgical techniques, and evidence-based guidelines for complex ENT procedures, particularly those involving the skull base and sinus cavities. His recent publications reveal a clear trend toward international collaborative research, with numerous consensus statements and expert guidelines that are shaping clinical practice worldwide. These works focus on standardizing surgical approaches, improving outcomes for complex conditions, and addressing specialized challenges in pediatric skull base surgery. Throughout his career spanning from 1999 to present, Dr. Meco has accumulated 63 publications, including 36 original works, 6 abstracts, 4 review articles, and various case reports and chapters. His research has gained significant attention in the academic community, with some publications garnering over 130 readers on Mendeley and mentions by numerous X users. As a senior researcher and clinician-scientist, Dr. Meco frequently contributes as a co-author on major international consensus statements, often collaborating with leading experts from institutions worldwide. His position as last author on some publications indicates his role as principal investigator or senior supervisor on research projects.

Paul HofmarcherView profile

Associate Professor

• Bayesian Methods
• Big Data
• Text Mining
• +3 more

Paul Hofmarcher is Associate Professor of Economics at the Department of Economics , Paris Lodron University of Salzburg , and affiliated with the Salzburg Centre of European Union Studies (SCEUS) . He holds a doctoral degree from WU Vienna and studied economics/mathematics at the University of Vienna. Research Interests : Focus on Bayesian methods , text mining , economic growth , and statistical/machine learning applications . His work bridges econometrics and computational methods to analyze complex socio-economic phenomena like central bank communication and media politicization. Recent Research Trends : Recent publications address central bank communication dynamics , EU policy discourse , and modeling techniques for high-dimensional data . He develops innovative methods like seeded Poisson factorization and temporal topic modeling to decode textual data in economics and politics. Affiliations & Roles : Active in interdisciplinary research at SCEUS and maintains close ties with Vienna-based institutions. Supervises research projects on macroeconomic forecasting, credit risk assessment, and geriatric health analysis. Professional Activities : Regularly contributes to academic journals like Journal of European Public Policy and Scandinavian Journal of Statistics . Co-developed the bms R package for Bayesian model averaging.

Jurgen WillemsView profile

Professor

• Public Management
• Nonprofit Governance
• Behavioral Public Administration
• +9 more

Jurgen Willems is a Professor for Public Management and Governance at the Vienna University of Economics and Business (WU Wien) , focusing on citizen-state interactions, bureaucratic reputation theory, and network governance. His research bridges public administration, nonprofit management, and digital transformation. Education: Economics and Operations & Technology Management at Ghent University; Quantitative Analysis for Social Sciences at University of Leuven PhD: Free University of Brussels (VUB) on nonprofit governance Habilitation: University of Hamburg Key research areas include civic engagement , behavioral public administration , and AI ethics in governance . His 2025 articles emphasize nonprofit leadership dynamics , generative AI in policing , and intersectional approaches to poverty alleviation . Scientific Awards : Finalist for Best Paper Award (2024) Outstanding Reviewer Award (2023) VHB WKÖ Best Paper Award (2022) Emerald/EFMD Highly Commended Award (2012) Recent projects analyze volunteer-staff collaboration (2023–2027), episodic citizenship , and open data-driven public services . His work integrates behavioral insights and technological ethics across nonprofit and public sector contexts.

Benediktsson Jon AtliView profile

Professor

• Remote Sensing
• Pattern Recognition
• Neural Networks
• +3 more

Jon Atli Benediktsson is the Rector and President of the University of Iceland (since 2015) and a Full Professor in Electrical Engineering (since 1996). He holds a Cand. Scient from the University of Iceland (1984), M.S.E.E. (1987), and Ph.D. (1990) from Purdue University. His research focuses on remote sensing, pattern recognition, neural networks, and data fusion. He has held key roles including Pro-Rector for Academic Affairs (2009–2015), Head of Graduate School (2009–present), and Visiting Professorships at the University of Trento and Kingston University. He has advised 9 PhD students and contributed to major editorial roles including Editor-in-Chief of IEEE GRSS journals and membership in prestigious committees. His honors include the IEEE GRSS David Landgrebe Award (2018), IEEE Fellow (2004), and SPIE Fellow (2013). His work spans hyperspectral data analysis, machine learning applications, and geospatial technologies. Key Positions: Rector, University of Iceland | Full Professor (1996–present) Education: Purdue University (Ph.D., 1990), University of Iceland (Cand. Scient, 1984) Research: Remote Sensing, Image Analysis, Biomedical Signal Processing Awards: Over 15 major international accolades including IEEE and SPIE fellowships

Stefan NehrerView profile

Professor

• Regenerative Medicine
• Orthopedics
• Biomedical Engineering
• +4 more

**Dr. Stefan Nehrer** is a **Professor and Dean of the Faculty of Health and Medicine** at the University for Continuing Education Krems. His research focuses on regenerative medicine, orthopedics, and the application of artificial intelligence (AI) in medical diagnostics. Key areas of expertise include cartilage repair, osteoarthritis therapy, and tissue engineering. He leads projects such as ‘Artificial Intelligence in Orthopedic Radiography Analysis’ and ‘Minced Cartilage in Regenerative Medicine.’ **Research Projects**: Assessing biomechanical biomarkers for knee osteoarthritis (2024–2027) Nutrition and movement for osteoarthritis self-efficacy (2022–2025) AI-driven analysis of radiographic images for knee and spinal conditions **Publications**: His work spans journals like *Biomacromolecules*, *Macromolecular Bioscience*, and *Journal of the Mechanical Behavior of Biomedical Materials*, with a focus on 3D bioprinting, biomaterials, and AI applications. Recent studies explore silk fibroin hydrogels for meniscus regeneration and deep learning for Cobb angle measurements. **Awards & Recognition**: While no specific awards are listed, his contributions to regenerative medicine and AI in healthcare highlight significant scholarly impact. **Grants & Funding**: Projects funded by Austrian federal programs and industry collaborations, such as ‘Additive Manufacturing for Partial Implants’ (2022–2024). **Labs/Teams**: His work integrates interdisciplinary teams in biomedical engineering, orthopedics, and AI, with a focus on translating research into clinical practice.

• Pediatrics
• Metabolic Disorders
• Rare Diseases
• +3 more

Florian Lagler is a Professor and Head of the University Clinic for Pediatrics and Adolescent Medicine as well as the University Institute for Inborn Metabolic Diseases at Paracelsus Medical University. His research focuses on rare genetic disorders such as mucopolysaccharidoses, mannosidosis, and phenylketonuria, with an emphasis on clinical management, care coordination, and innovative treatment strategies. He leads multiple research projects, including studies on enzyme replacement therapies and anesthesia safety in rare disease patients. Lagler has organized numerous international conferences and workshops, demonstrating his role in advancing pediatric and metabolic medicine globally. Key research areas include personalized medicine for rare diseases, development of diagnostic tools, and optimizing patient care through multidisciplinary approaches. His work spans over 131 publications since 2009, with a focus on clinical trials, consensus guidelines, and retrospective cohort studies. Lagler has also contributed to projects like the 'Development of a specific airway-trainer for MPS patients' and 'Enzyme-Replacement Therapy Home Therapy Impact Study.' He actively participates in academic leadership, having coordinated initiatives such as the 7th European Symposium on Lysosomal Storage Diseases and the OKIDS EUPATI Congress. His efforts bridge clinical practice and translational research, addressing unmet needs in treating metabolic and rare pediatric conditions.

• Cloud Computing
• Service-oriented Computing
• Internet of Things (IoT)
• +7 more

Schahram Dustdar is a Full Professor and Head of the Distributed Systems Research Unit at TU Wien's Faculty of Informatics. His research focuses on Cloud Computing, IoT, Edge Computing, and Federated Learning. He leads projects funded by the European Commission and industry partners, including the TEADAL and INTEND initiatives. Dustdar has over 300 publications and actively contributes to conferences like IEEE Services and ACM SenSys. His work emphasizes distributed intelligence, active inference, and secure edge systems. He teaches courses on distributed systems and advanced internet computing. Notable contributions include frameworks like QEdgeProxy and PolarisProfiler for optimizing edge-cloud resource management.

• Blockchain Technology
• Distributed Systems
• Coordination Middleware
• +4 more

Eva Kühn is an Associate Professor at TU Wien's Faculty of Informatics, specializing in Coordination Systems and Space-Based Computing. She leads the Compilers and Languages department and focuses on Blockchain Technology, Distributed Systems, and Swarm Intelligence. Roles & Affiliations: Associate Professor, TU Wien Research Lead in Coordination Middleware Principal Investigator in projects like ITSM-PEER and Formal Verification of DNNs Research Interests: Blockchain-based systems for decentralized applications Swarm intelligence algorithms for P2P networks Space-based computing architectures for distributed systems Coordination patterns for multi-cloud auto-scaling Projects & Grants: "Formal Verification of Deep Neural Networks" (2024-2027, OeAD) "ITSM-PEER" (2014-2015, FFG) "LOPONODE Middleware" (2012-2014, FFG) Students & Supervision: Advised over 30 students in areas like blockchain frameworks, swarm algorithms, and distributed systems. Labs & Teams: Leads the Peer Model research group developing coordination middleware and space-based computing frameworks.