**Ayer Jean-Marie** is a **Full Professor and Head of Institute** at the Fribourg School of Management (HES-SO), part of the University of Applied Sciences and Arts Western Switzerland (HES-SO). He specializes in Entrepreneurship, Innovation Management, Digital Transformation, and Blockchain Technology. Current research focuses on sustainable energy models (e.g., ServHEATisation) and legal aspects of blockchain-based financing (e.g., ICOs). **Education**: BSc HES-SO in Business Economics from the Fribourg School of Management. **Research Interests**: His work bridges entrepreneurship, digital innovation, and legal frameworks for emerging technologies. Ongoing projects include a bilingual program enhancing engineering and business competencies (CHF 1.2M funding from Swiss Universities) and defining energy service models (CHF 40K from HES-SO). **Grants & Projects**: Lead researcher on projects totaling over CHF 1.3M, including TASER (CHF 100K) analyzing temperature-as-a-service contracts and blockchain legal challenges. Collaborates with Philippe Regnier and Laurence Casagrande-Caille.
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نمایش ۱۶-۳۰ از ۴۷ استاد راهنما
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Jan von der Assen is a doctoral student at the Communication Systems Group (CSG) within the Department of Informatics at the University of Zurich . His research focuses on Holistic Cybersecurity , spanning Threat and Asset Management , Security Economics , and AI-powered Malware Mitigation . Education : MSc in Software Systems from University of Zurich (2021) Research Affiliations : Involved in 12+ national/EU projects (2021–2025) including CheeseChain , CONCORDIA , and DSI Cybersecurity . His work emphasizes Moving Target Defense (MTD) for IoT security, Decentralized Federated Learning with blockchain-based reputation systems, and Ransomware Detection using hypervisor-level system call monitoring. Recent publications include: GuardFS (JISA 2025) for Linux ransomware mitigation HyperDtct (IEEE CSR 2025) on hypervisor-based detection ThreatFinderAI (CNSM 2024) for LLM threat modeling
Prof. Dr. Christian Cachin is a Professor at the Institute of Computer Science of the University of Bern, Switzerland. He leads the Cryptology and Data Security research group and serves as Deputy Director of the Institute. His work focuses on cryptography, blockchain technology, and distributed systems, with particular emphasis on consensus protocols, privacy-preserving technologies, and secure multi-party computation. He has contributed to foundational research in threshold cryptography, transaction graph models, and DAG-based consensus mechanisms. Prof. Cachin's research spans theoretical and applied aspects of distributed systems, including blockchain scalability, consensus mechanisms (e.g., Avalanche, Proof-of-Stake), and privacy-enhancing technologies like secure aggregation and untraceable payments. His group develops practical implementations, such as the Thetacrypt threshold cryptography service and analyses of protocols like FastPay and Inter-Blockchain Communication. He has authored over 150 publications in top venues, including the 2021 Principles of Distributed Computing Doctoral Dissertation Award. His work bridges academic theory and real-world applications, addressing challenges in decentralized systems, smart contract security, and blockchain interoperability.
- Logic
- Theoretical Computer Science
- Formal Methods
- +۴ مورد دیگر
Thomas Studer is a Professor of Computer Science at the University of Bern, leading the Logic and Theory Group. He holds a PhD in Computer Science from the University of Bern (2001) and has worked as a senior software engineer before returning to academia. His research focuses on mathematical logic, formal methods, blockchain technology, and data privacy. He serves on the board of the Swiss Society for Logic and Philosophy of Science and chairs the computer science committee for the Matura exam in Canton Bern. Research interests include justification logic, modal logics, proof theory, and applications in blockchain and secure systems. Recent work explores synergistic knowledge in distributed systems, conversational explanation frameworks, and probabilistic justification logics. He co-authored books on relational databases and logics of proofs. Leadership roles include the Executive Committee of SCNAT’s Platform MAP (2016–2024). He advises on technical and ethical challenges in AI and cryptography, contributing to international conferences and editorial boards.
Jonas Mühlethaler is a Professor at the Lucerne School of Engineering and Architecture (HSLU), leading the Institute of Electrical Engineering IET CC Digital Energy and Electric Power. He holds a PhD in electrical engineering from ETH Zurich, with a focus on power electronics. Prior to academia, he co-founded the ETH spinoff Gecko Simulations, worked as an R&D Manager at Swissgrid, and consulted for the AWK Group. His research focuses on intelligent energy systems, microgrids, power electronics, and blockchain applications in energy transition. Education: PhD in Electrical Engineering (ETH Zurich), specialized in power electronics. Professional experience includes entrepreneurial ventures, industry roles in the Swiss electricity sector, and academic leadership in energy research. Research interests include advanced magnetic component design, grid flexibility through distributed ledger technologies, and energy storage system integration. Recent work emphasizes core material characterization under DC bias, EMI mitigation in power converters, and optimizing blockchain for energy markets. Notable projects include SWEET LANTERN CC DEEP (grid flexibility), ENFLATE (sector coupling), and DLT for local DC energy systems. His 2024 paper on EMI filter noise emissions highlights contributions to power electronics reliability. Labs/Teams: Head of the Research Group on Energy Storage at the Forum Energiespeicher Schweiz. Active in the Sector Forum Energy Management (SFEM) working group on blockchain and DLT.
- Data Protection Law
- IT Law
- Legal Risk Management
- +۷ مورد دیگر
Ursula Sury is a Swiss law professor, Vice Dean at Lucerne School of Computer Science and Information Technology, and founder of Advokatur Sury AG. Specializing in IT law, data protection, and legal risk management, she combines academic leadership with practical legal consultancy. Her career spans academic governance, postgraduate teaching, and interdisciplinary research. University of Zurich (1986) - Law Harvard Business School (2013) - Executive Education Columbia University (2008) - Legal Mediation Her research focuses on data protection law , blockchain governance , and digital transformation across sectors. Recent work examines AI compliance , cross-border data flows , and cybersecurity liability . She leads EU Commission research projects on regional innovation strategies. Key article trends include: Comparative analysis of Swiss and GDPR frameworks Legal challenges in blockchain/DLT systems Corporate responsibility for AI decisions Cloud computing liabilities Smart home privacy issues Digital identity regulations As founder of Advokatur Sury AG since 1993, she advises on Data protection IT contract management Digital compliance Her academic leadership includes directing the Management & Law master's program and serving on the CRUS rector conference. She represents Switzerland in international digital law forums.
- Conceptual Modeling
- Business Informatics
- Meta Modeling
- +۱۰ مورد دیگر
Hans-Georg Fill is a full professor in business informatics at the University of Fribourg, where he leads the Digitalization and Information Systems Group within the Faculty of Management, Economics and Social Sciences. He plays a central role in the Smart Living Lab, a joint initiative of EPFL, HEIA-FR, and the University of Fribourg, focusing on digital transformation and information systems. Prior to his current role, he held academic positions at the University of Bamberg and the University of Vienna and was a visiting scholar at Stanford University, Karlsruhe Institute of Technology, and École Nationale Supérieure des Mines. Research Interests: His primary research lies in conceptual modeling, particularly meta modeling, semantic information systems, and the application of blockchain and smart contracts in enterprise contexts. He also investigates the integration of virtual and augmented reality into enterprise modeling and explores deviceless interaction with information systems. A growing focus of his recent work is the role of large language models (LLMs) in enhancing modeling processes, knowledge representation, and automated enterprise model generation. Publication Trends: His recent publications (2023–2025) reflect a strong emphasis on the intersection of AI and conceptual modeling. Key themes include the application of LLMs in modeling, blockchain-based modeling languages, augmented reality for enterprise systems, and semantic technologies. He frequently publishes in top-tier venues such as ER, CAiSE, EMISAJ, and HICSS, often in collaboration with PhD students and international researchers. Scientific Awards and Recognition: Nominated for Best Paper Award at HICSS'51 (2018) Nominated for Best Paper Award at Modellierung 2016 and 2018 LexisNexis Top 10 Paper Award nomination (2016) Advising and Grants: He advises numerous PhD and Master’s students, including Charuta Pande, Benedikt Reitemeyer, Fabian Muff, and Simon Curty. His research is supported through institutional affiliations and collaborative projects such as the Smart Living Lab. He has also contributed to editorial leadership as co-department editor of BISE and supporting editor-in-chief of EMISAJ. Labs and Teams: He leads the Digitalization and Information Systems Group at the University of Fribourg and is a key contributor to the Smart Living Lab, a multidisciplinary research environment focused on digital innovation in living spaces and enterprise systems.
Cyril Monnet is a full Professor at the Economic Institute of the University of Bern, Switzerland, with dual affiliations at the main university campus in Bern and the Study Center Gerzensee. His institutional roles include active participation in the World Trade Institute (WTI) and other research centers within the Economic Institute ecosystem. His research program centers on three core pillars: Monetary Theory (examining money's fundamental properties and functions) Financial Intermediation (analyzing banking structures and credit allocation) Macroeconomics (investigating systemic economic dynamics) Recent scholarly output reveals a pronounced focus on digital currency ecosystems, where he pioneers theoretical frameworks for central bank digital currencies (CBDCs), stablecoins, and distributed ledger systems. His work critically assesses privacy implications in digital payments, banking sector vulnerabilities under new monetary architectures, and optimal liquidity backstop designs. Methodologically, he integrates game-theoretic models with empirical validation, particularly in consensus mechanisms and truth-verification systems for decentralized finance. Professor Monnet's publication trajectory demonstrates deep engagement with real-world policy challenges, including Swiss National Bank liquidity operations, ECB Digital Euro implementation hurdles, and systemic risk mitigation in collateralized credit chains. His research consistently bridges theoretical rigor with actionable insights for central banking institutions globally. Based in office A316 at Schanzeneckstrasse 1, Bern, he maintains an active research presence through cyrilmonnet.ch while contributing to the University of Bern's leadership in monetary economics through the Economic Institute's collaborative framework with the Oeschger Center for Climate Change Research and Center for Regional Economic Development.
Bruno Rodriguesمشاهده پروفایل
استادیار
Bruno Rodrigues is an Assistant Professor of Computer Science (Embedded Sensing Systems) at the University of St. Gallen (HSG). His research focuses on embedded sensors, sensor networks, distributed systems, and network security, with additional expertise in software-defined networks and distributed ledgers. He holds a PhD from the University of Zurich (2020), a Master's from the Polytechnic School of the University of São Paulo (2016), and a Bachelor's from the University of Santa Catarina, Brazil (2013). Prof. Rodrigues' professional career includes roles as a Senior Researcher (2020–2024) and Junior Researcher (2016–2020) at the University of Zurich, where he contributed to projects like the EU-funded CONCORDIA H2020 and collaborations with Swiss innovation agencies (KTI/Innosuisse). His work spans DDoS mitigation, blockchain applications in voting systems, and energy-efficient cloud networks. Notable projects include the 'Passive Wireless Intelligence Tracking System (PasWITS)' and 'Energy-Efficiency to Clouds (E2C)' with Ericsson Research. His research portfolio includes over 50 publications on topics such as secure IoT frameworks (SHIFT, WeTrace), blockchain-based voting systems (ProvotuMN, Æternum), and cybersecurity tools like SecGrid for traffic analysis. He has pioneered solutions for privacy-preserving mobile tracking (LaFlector), real-time medical device inventory systems (PMD-Track), and decentralized financial inclusion tools (AfriBit). Prof. Rodrigues' work bridges theoretical computer science with practical applications, emphasizing sustainability, security, and innovation in distributed systems. He has led interdisciplinary projects at the intersection of blockchain technology, sensor networks, and ethical AI, with a focus on real-world implementation challenges.
Dimitar Petrovمشاهده پروفایل
دانشیار
Dr. Dimitar Petrov is an Associate Professor in Computer Science at Ca’ Foscari University of Venice, specializing in static analysis and cybersecurity. He is affiliated with ETH Zürich's Institute of Pharmaceutical Sciences (IPW) as staff under Tit.-Prof. Jörg Scheuermann. His research focuses on applying abstract interpretation-based methods to detect security vulnerabilities in systems ranging from blockchain smart contracts to IoT devices. Education details are not explicitly provided in the text, but his extensive publication history indicates advanced expertise in formal methods. His research interests include software verification, privacy enforcement, and the application of static analysis tools like LiSA across diverse domains such as robotics, microservices, and mobile applications. Key research trends in his articles emphasize blockchain security (smart contract vulnerabilities, consensus protocols), IoT/IoMT security (device interactions, privacy policies), and the integration of machine learning with program analysis. His work bridges academic research with industry challenges, addressing compliance with regulations like GDPR and the EU Data Act. Prior to his current roles, he has contributed to open-source frameworks like LiSA and collaborated on projects involving automated policy extraction, cross-language analysis, and vulnerability detection in automotive systems. His research group at Ca’ Foscari actively engages in both theoretical advancements and practical tool development. Labs/Teams: Part of the Software and System Verification group at Ca’ Foscari, and collaborates with ETH Zürich's Institute of Pharmaceutical Sciences on interdisciplinary projects combining formal methods with healthcare technology.
Peter Schwendner is a Professor at the School of Management and Law , Zurich University of Applied Sciences . His work bridges finance, machine learning, and sustainable investing, with a focus on robust portfolio construction and risk management. Role: Head, Institute of Wealth & Asset Management Location: Winterthur, Switzerland Research Interests include: Explainable Machine Learning Portfolio Optimization Correlation Regimes Quantitative Finance Digital Assets Sustainable Finance Recent Article Trends highlight synthetic correlation matrix generation, biodiversity risk assessment, and blockchain applications. His work frequently integrates GPU computing, Monte Carlo simulation, and network analysis to enhance financial modeling. Labs & Teams : He leads the Institute of Wealth & Asset Management and collaborates with institutions like Munich Reinsurance Company and European Stability Mechanism on financial risk frameworks.
Massimo Morini is a Lecturer at the Faculty of Economics, Università della Svizzera italiana (USI), and also serves as a professor at Bocconi University. He holds a PhD in Mathematics and combines academic research with a leading role in industry as Head of Rates and Credit Modelling at Banca IMI, part of Intesa Sanpaolo, Italy's largest bank. His research focuses on quantitative finance , model risk management , credit risk , and the application of blockchain technology and smart contracts in financial markets. He pioneered blockchain research in finance as early as 2013 and authored the first article proposing blockchain as a solution for modernizing financial infrastructure. His recent publications reflect a strong trend toward decentralized finance, trusted computation, collateral optimization, and regulatory innovation. These works span disciplines in blockchain, financial engineering, cryptography, and risk modeling, with subfields including smart contracts, DeFi, XVA adjustments, and enterprise blockchain applications. Massimo has been a consultant to the World Bank, CFTC, and various regulators, and his work has been cited in the US Senate. He has served on scientific boards including Numerix (NYC) and the Blockchain Lab (Swiss consortium), and was a board member of the R3 banks’ consortium, leading the Valuation, Collateral & Risk Management working group. Member, Scientific Board, Numerix (New York) Board Member, R3 Consortium (Valuation, Collateral & Risk Management Working Group) Member, Scientific Committee, Blockchain Lab (Swiss Bitcoin Developers Consortium) Consultant, World Bank, CFTC, and financial regulators He frequently speaks at major industry events such as SIBOS and London Tech Week. His research has been featured in Risk Magazine , Coindesk , Harvard Business Review , and Bitcoin Magazine . He has also authored seminal books on model risk and collateral, available via his publication links. While no formal advisees are listed, his leadership in academic programs—such as serving as MSc Director at Politecnico di Milano—demonstrates a strong commitment to education and mentorship. He was previously a Research Fellow at Cass Business School, City University of London. Massimo leads research initiatives in blockchain-enabled financial systems and is actively involved in shaping the future of financial market infrastructure through trusted computation and decentralized protocols.
Nicolò Vallarano is a Senior Research Associate at the University of Zurich , actively collaborating with Professor Claudio Tessone on blockchain technologies and decentralized finance (DeFi). His work bridges statistical mechanics of networks and distributed ledger technologies (DLTs), focusing on network structure analysis and consensus protocols in blockchain systems. Research Interests: Statistical Mechanics of Networks Distributed Ledger Technologies (DLTs) Consensus Protocols Decentralised Finance (DeFi) Bitcoin Transaction Network Modeling Exponential Random Graph Models (ERGM) Publications demonstrate expertise in applying network science to blockchain systems, analyzing network topology, price dynamics, and consensus mechanisms in IOTA and Bitcoin. Current work focuses on modeling consensus protocols and classifying cryptocurrency economic states with the Blockchain Observatory. Collaborations include the Blockchain Observatory and Professor Claudio Tessone's research group, with extensive contributions to conferences like Complex Networks, CCS, and Middleware.
Alexander Wirth is a Lecturer at Kalaidos University of Applied Sciences, where he combines academic leadership with industry expertise. As Head of the Competence Center Next Gen Finance and Head of CAS FH in Digital Insurance, he drives innovation in digital finance and insurance ecosystems. His career spans over 20 years in strategic roles at institutions like BEKB and KPT Krankenkasse. Education : Trained computer scientist, EMBA in Marketing Management, and certified Project Management Professional (PMP®). His research focuses on Digital Finance , DLT infrastructures , and strategic responses to VUCA challenges . He specializes in developing platform-based business models and resilience strategies for companies navigating volatility and complexity. Alexander’s work trends include Digital Transformation in banking, DLT applications for financial services, and resilience management frameworks. His 2020 blog post on VUCA challenges highlights his contributions to strategic risk mitigation. As Managing Partner at blended experience, he advises on digital strategy and organizational restructuring. His affiliations span academia and industry, reflecting a multidisciplinary approach to finance and technology.
Nasim Nezhadsistani is a Ph.D. researcher at the Institute of Informatics (IFI) , University of Zurich, Switzerland. Her work focuses on Blockchain technologies , distributed systems , and their intersections with machine learning , network security , and 6G networks . She contributes to decentralized communication systems research under the mentorship of Prof. Dr. Burkhard Stiller in the Communication Systems Group (CSG) . Education : B.S. and M.S. in Electrical Engineering (2014-2017), currently pursuing Ph.D. Research Themes : Blockchain consensus, NFT-based intellectual property frameworks, 6G security, and federated learning integration. Publications : 8+ peer-reviewed works on NFT scoring, blockchain fundamentals, and machine learning-driven 6G anomaly detection. Collaborations : Active in IEEE and international blockchain research projects.