Find Academic Supervisors

• Comparative Political Science
• Political Representation
• Legislative Studies
• +2 more

Dr. Daniel Höhmann is a Research Fellow in the Department of Political Science at the University of Basel, affiliated with the Faculty of Humanities and Social Sciences. He joined the institute as a postdoctoral researcher in May 2020 under Prof. Denise Traber. His primary research focuses on comparative political science, emphasizing political representation, legislative studies, gender and politics, and coalition governance mechanisms within parliamentary systems. His work explores topics such as MPs' attitudes toward gender equality, the role of personality traits in political behavior, and the dynamics of coalition agreements in European governance. Notable contributions include analyses of male politicians' responsiveness to women's interests and the intersection of electoral vulnerability with substantive representation. Recent publications reflect a focus on gender equality representation, parliamentary accountability, and coalition control mechanisms. His research has been published in journals like West European Politics and Legislative Studies Quarterly , with ongoing projects examining citizen distrust in politicians and the representative function of parliamentary systems. Teaching Excellence Recognition : Shortlisted for the 2025 Teaching Excellence Awards in the 'Supporting Learning' category. Key Projects : Investigates the role of coalition agreements in governance and the relationship between electoral systems and legislative behavior. His work bridges theoretical frameworks with empirical analyses, contributing to debates on democratic accountability and gender equity in political institutions.

• Automated Reasoning
• Formal Verification
• Synthesis
• +8 more

Rodrigo Benedito Otoni is a postdoctoral researcher at the University of Lugano (USI), affiliated with the Faculty of Informatics. His research focuses on automated reasoning techniques for verification, synthesis, and certification, with expertise in model checking, SMT/CHC solving, TLA+ specifications, process algebras, and blockchain technologies including smart contracts. He is based at the East Campus, Sector D, Office D2.09 (Level P2), via la Santa 1, 6962 Lugano-Viganello. Key research areas include formal methods for system verification, blockchain application analysis, and the development of tools for automated reasoning. His work bridges theoretical foundations with practical applications in software verification and distributed systems. The full details of his career are documented in his CV (last updated February 2025), which includes comprehensive information on his academic contributions and professional activities.

Marco RagliantiView profile

Research Fellow

• Software Engineering
• Software Development Lifecycle
• Software Documentation
• +3 more

Marco Raglianti is a Postdoctoral Fellow and Research Assistant in the Reverse Engineering, Visualization, and Evolution Analysis Lab (REVEAL) at the Faculty of Informatics, Università della Svizzera italiana (USI). His research focuses on software engineering, documentation landscapes, developer communities, and visualization tools. He holds a PhD in Informatics from USI (2025) and M.Sc./B.Sc. degrees in Computer Science from the University of Pisa (Cum Laude). Key contributions include tools like DwarvenMail for documentation analysis, DiscOrDance for Discord community visualization, and Vizor for interactive graph exploration. He co-supervised multiple thesis projects and taught courses in software engineering at USI. His work bridges empirical software engineering with practical tool development, emphasizing developer-centric solutions. Raglianti's publications address topics like UML evolution, VR-based refactoring, and microservices data access patterns. He actively reviews for journals like ACM Transactions on Software Engineering and conferences such as ICSE and ESEC/FSE. His lab's focus on reifying software documentation reflects a commitment to improving developer workflows through systematic analysis and visualization.

• Smart Grids
• IoT
• Machine Learning
• +4 more

Slobodan Lukovic is a Senior Researcher at the Faculty of Informatics of the Università della Svizzera italiana (USI), affiliated with the ALaRI group and the Dalle Molle Institute for Artificial Intelligence (IDSIA USI-SUPSI). He holds a PhD in Computer Architectures from USI and a master’s in Embedded Systems Design, alongside a bachelor’s degree from the University of Belgrade’s Faculty of Electrical Engineering. His research focuses on applying advanced AI techniques to IoT challenges, particularly in sustainability and Smart Grids. Key areas include energy storage optimization, grid load forecasting using deep learning, and blockchain integration in smart city infrastructure. He leads projects such as SONDER, GraPV, and SWAIN, emphasizing proactive maintenance, grid resilience, and virtual power systems. Lukovic’s work spans cyber-physical systems, data-driven methods, and machine learning applications. Notable contributions include frameworks for smart grid disturbance analysis, fault injection testing, and multi-agent systems for prosumer integration. His expertise in NoC-based MPSoC security and model-driven design further underscores his interdisciplinary approach. He has advised multiple projects and contributes to labs/teams at USI, focusing on bridging ICT and energy systems for sustainable urban development.

Daniel OeschView profile

Professor

• Economic Sociology
• Social Stratification
• Labor Market Policy
• +3 more

Prof. Daniel Oesch is a leading scholar in economic sociology at the University of Lausanne, where he directs the Swiss Centre of Expertise in Life Course Research (LIVES) and holds a professorship at the Institute of Social Sciences. His research focuses on social stratification, labor markets, and welfare regimes, with a particular emphasis on class dynamics and occupational change in Europe. Education: Oesch earned his PhD in Political Science from the University of Zurich (2006), MA in Labour Studies from the University of Florence (2002), and BA in Political Science from the University of Geneva (1999). He has held academic positions at the Universities of Lausanne, Geneva, and Zurich, alongside roles in trade unions and policy research. Research Interests: Oesch explores topics such as occupational structure evolution, social class voting patterns, and the effects of economic policies on labor markets. His work bridges sociology and political economy, addressing issues like inequality, welfare state adaptation, and the impact of globalization. His recent studies challenge myths about middle-class decline and highlight gender wage gaps emerging early in careers. Awards: He has received accolades including the 2020 European Sociological Review Runner-Up Award and the 2011 SASE Best Article Prize. His work is published in top journals like *European Sociological Review*, *Socio-Economic Review*, and *Work and Occupations*. Grants: Oesch leads projects funded by the Swiss National Science Foundation, NORFACE, and other institutions, focusing on topics such as regional job structures and cultural grievances. He supervises PhD students and mentors postdoctoral researchers in social stratification and labor market dynamics. Labs/Teams: As LIVES Director, he oversees interdisciplinary research on life course trajectories. His team collaborates internationally, contributing to policy debates on education, employment, and social policy.

Simon Mathias WaelliView profile

Research Fellow

• Health Policy
• Healthcare Management
• Public Health Administration
• +3 more

Dr. Simon Mathias Waelli is a Research and Teaching Fellow and Director of the Health Organizations Management (HOM) Research Lab at the Institute of Global Health, Faculty of Medicine, University of Geneva. He holds a PhD in sociology and is authorized to direct research in health management. His work focuses on public policy implementation in health organizations and the development of nursing professions. Since 2019, he has coordinated the Master of Advanced Studies (MAS) in Public Health, teaching qualitative methods and work analysis. The HOM Lab, led by Waelli, focuses on three core areas: (1) management research for healthcare stakeholders, (2) targeted dissemination of scientific knowledge, and (3) facilitating forums for healthcare system transformation. The Lab collaborates with managers, policymakers, and international experts to address systemic challenges like integration, budget constraints, and technological adaptation. Waelli co-directs the management of healthcare organizations program and oversees the annual HealthCH Symposium and Senior Managers' Seminar. His research agenda aligns with the needs of Swiss healthcare managers, emphasizing empirical studies and literature reviews. A key output is a collective textbook published by Dunod in 2025, distributed to students and faculty in healthcare management programs.

• International Trade
• Economic Forecasting
• Bayesian Neural Networks
• +5 more

Davide Arioldi is a Postdoctoral Researcher and Scientific Collaborator at the Institute for Economic Research (IRE) within the Faculty of Economic Sciences at the University of Italian Switzerland (USI). He holds a PhD in Economics from USI (2018) with a thesis on international trade and has prior experience as a quantitative analyst and portfolio manager in investment firms. His current research focuses on Bayesian Neural Networks, Probabilistic Programming, causal structure learning via graphical models, and text analysis. He is affiliated with the Observatory of Public Finance and Energy (O-FPE), where he develops tax revenue forecasting models and compiles comparative studies on cantonal public finances. He also contributed to the PanelCODE project and the contati.ch platform analyzing policy impacts. Research expertise includes international trade dynamics, consumer behavior, productivity-wage gaps, bargaining theory, firm production, and network analysis. His work spans economic policy evaluation, unstructured data analysis, and regional economic disparities. He is co-developer of the contati.ch platform funded by a private foundation to assess policy impacts on local populations. Key projects include annual cantonal public finance studies, tax revenue modeling at O-FPE, and business dynamics analysis using unstructured online data since 2016. He collaborates across interdisciplinary teams in Lugano, Switzerland.

Gianira AlfaranoView profile

Assistant Professor

• Algebraic Coding Theory
• Finite Fields
• Combinatorics
• +1 more

Gianira Alfarano is an Assistant Professor (tenure-track) at the University of Rennes 1, affiliated with the Géométrie et Algèbre Effectives team. She holds a Ph.D. in Mathematics from the University of Zurich (2022) and has held postdoctoral positions at TU Eindhoven and University College Dublin. Her research focuses on Algebraic Coding Theory, Finite Fields, Combinatorics, and Finite Geometry. Alfarano has organized sessions at international conferences and won awards such as the ACA-ERA 2022 and a Best Presentation Award. She teaches courses in algorithms, coding theory, and cryptography at Rennes University. Her academic journey includes teaching assistant roles at Zurich and postdoctoral research in network coding and information theory. Alfarano’s work bridges algebraic structures with practical coding solutions, addressing challenges in data storage, security, and error correction. Recent research emphasizes rank-metric codes, q-matroids, and service rate regions in distributed systems. Education: Ph.D. in Mathematics, University of Zurich, 2022 Postdoc: TU Eindhoven (2022–2023), UCD (2023–2024) Awards: Applications of Computer Algebra Early Research Award (ACA-ERA) 2022 Best Presentation Award at Contemporary Algebraic and Geometric Techniques in Coding Theory and Cryptography Alfarano’s publications span journals like SIAM Journal on Applied Algebra and Geometry and conferences such as ISIT. Her invited talks include sessions on minimal codes, service rate regions, and q-analogues in combinatorics. She actively contributes to the academic community through organizing workshops and editorial roles in coding theory.

• Distributed Ledger Technology
• Blockchain
• Fintech
• +6 more

Prof. Dr. Fabian Schär is a Professor of Distributed Ledger Technology and Fintech at the University of Basel's Faculty of Business and Economics. He serves as Managing Director of the Center for Innovative Finance (CIF), a board member of the Responsible Digital Society, and an Affiliate Professor at the Swiss Finance Institute. His research focuses on blockchain technology, decentralized finance (DeFi), financial privacy, and cryptoassets. Schär co-authored the MIT Press bestseller *Bitcoin, Blockchain, and Cryptoassets* and advises institutions like the Bank for International Settlements (BIS) and the IMF. His work bridges economics and computer science, addressing topics such as blockchain governance, metaverse economics, and regulatory frameworks. **Education**: No explicit details provided in texts, though his academic role implies doctoral qualifications. **Research Interests**: Public blockchains, DeFi protocols, cryptoasset markets, metaverse spatial economics, and regulatory compliance for decentralized systems. His interdisciplinary approach explores technical and socio-economic dimensions of blockchain applications. **Articles Trends**: Recent works analyze metaverse governance, DeFi risk transfer, blockchain privacy, and contagion effects in crypto markets. Early contributions include foundational analyses of Bitcoin mining and stablecoin design. **Awards**: Recognized in the NZZ ranking of Switzerland's most influential economists (2023). His book is a key reference in the field. **Advising & Grants**: Technical advisor to BIS’s CPMI, visiting scholar at IMF, and contributor to OECD/IOSCO working groups. No explicit grants listed, but his involvement in policy discussions implies institutional support. **Labs/Teams**: Leads the CIF, a hub for innovative finance research, and collaborates with decentralized autonomous organizations (DAOs) and central bank initiatives.

Selin YilmazView profile

Assistant Professor

• Energy Transformation Governance
• Socio-technical Modeling
• Sustainability Studies
• +3 more

Selin Yilmaz is an Assistant Professor (conditional pre-tenure at the rank of Associate Professor) in Energy Transformation Governance at the University of Lausanne (UNIL), affiliated with the Institute of Geography and Sustainability (IGD) within the Faculty of Geosciences and the Environment. She holds a PhD in Philosophy (2017) from the London-Loughborough Centre for Doctoral Training in Energy Demand, combining quantitative socio-technical modeling with interdisciplinary approaches. Her work bridges micro and macro scales, focusing on energy demand dynamics, sustainability transitions, and policy frameworks. She previously spent six years at the University of Geneva as a postdoc and assistant professor. Her research integrates sociology of energy, science and technology studies (STS), and institutional policy analyses. Key methodologies include participatory methods, co-design, and joint governance within Living Labs ecosystems to enhance sustainability experimentation. She explores intersections between energy efficiency/sufficiency, supply-demand interactions, and social license for automated demand-side management (DSM). Recent work emphasizes electricity tariff design, consumer acceptance of smart technologies (heat pumps/EVs), and typologies of energy communities. Her projects address climate-resilient energy systems, including fifth-generation district heating/cooling and borehole thermal storage. Cross-cutting themes include equity considerations, behavioral segmentation, and governance frameworks for energy transitions.

Gracia BrückmannView profile

Research Fellow

• Climate Change Policy
• Renewable Energy
• Electric Vehicle Adoption
• +4 more

Dr. Gracia Brückmann is a Post-Doctoral Researcher at the University of Bern's Institute of Political Science and the Oeschger Centre for Climate Change Research (OCCR). She leads research within the Swiss Federal Office of Energy (SFOE)-funded projects SWEET EDGE and SURE, focusing on decentralized renewable energy systems and policy frameworks for sustainable transitions. Her current institutional affiliations include: Post-Doctoral Researcher, Institute of Political Science, University of Bern (2021-present) Affiliated Researcher, Oeschger Centre for Climate Change Research (2021-present) Visiting Fellow, London School of Economics (2023) Former Researcher, ETH Zurich's International Political Economy Group (2017-2021) Brückmann's research centers on the social dimensions of energy transitions, with three interconnected pillars: (1) public opinion on climate policies including cross-border emission accounting, (2) behavioral barriers to electric vehicle adoption such as resale anxiety and charging infrastructure preferences, and (3) citizen engagement in renewable energy projects like tenant photovoltaics. Her work uniquely combines experimental methods with real-world policy analysis to address the intention-behavior gap in sustainable technology adoption. Her publication trajectory since 2020 reveals increasing focus on policy implementation challenges, with recent work exposing limitations in common interventions like test drives for EVs and identifying design principles for successful citizen energy projects. The research demonstrates consistent methodological rigor while maintaining strong relevance to Swiss energy strategy. Brückmann actively contributes to academic discourse through teaching the Master Seminar 'Energy and Mobility Policies for Decarbonisation' at the University of Bern and advising Master's theses. Her funded research provides students with opportunities to engage in current energy policy evaluation projects. Her work is supported by active SFOE grants and disseminated through high-impact publications in Environmental Research Letters, Transportation Research, and Energy Policy, with findings regularly covered in international media including The Guardian and Yale Environment Review.

• Modelling and simulation of multi-physics systems
• Machine learning and data analysis
• High performance computing
• +3 more

Dr. Tobias Kaufmann is the Acting Head of the FHNW Institute of Mathematics and Natural Sciences and a Lecturer in Mathematics at FHNW's School of Engineering and Environment. He teaches in bachelor's programs including Mechanical Engineering, Electrical and Information Technology, Computer Sciences, and Energy and Environmental Technology. His research focuses on multi-physics system modeling, machine learning, high-performance computing, ultrasonics, radar, and vacuum measurement technologies. He holds a PhD in theoretical physics from the University of Zurich and completed postdoctoral research at ETH Zurich and the University of California, Irvine. Education Background: Tobias Kaufmann earned a Diploma in Theoretical Physics and a Teaching Diploma from the University of Zurich. He also holds a CAS in Higher Education from the University of Applied Sciences of Eastern Switzerland. His professional career spans roles as a Professor at the University of Applied Sciences of Eastern Switzerland, a Data Scientist at Geopraevent, a Scientist at ABB Corporate Research, and a Principal Investigator at ETH Zurich's Department of Physics. Research Interests: His work bridges computational physics and engineering applications, emphasizing: Multi-physics system modeling and simulation Machine learning for data analysis and predictive systems High-performance computing for large-scale simulations Ultrasonic and radar sensing technologies Continuum mechanics and electrodynamics Notable Projects: As project leader, he has managed initiatives like the Innosuisse-funded 'Optimized Side Seamer for Fleximed tube bodies' with Neopac AG and SF-funded projects on particle-based CFD simulations, smart power tools, food industry classifiers, and cable car dynamics simulators. Collaborations include Hilti AG, Winterhalter AG, and Bartholet AG. Technical Contributions: His inventions include non-intrusive liquid level measurement systems (patented with ABB) and acoustic signal propagation methods. He has also contributed to Google's AI research, including text prediction and communication template systems.

• Control Systems
• Model Predictive Control (MPC)
• System Identification
• +6 more

Prof. Roy Smith is a Professor at ETH Zurich specializing in control systems, with a focus on model predictive control (MPC), system identification, and robust control. His research spans energy systems, aerospace applications, and data-driven methods. He collaborates with leading institutions like the Swiss Federal Institute of Technology (ETH Zurich) and has co-authored numerous high-impact papers in top journals like IEEE Transactions on Automatic Control and Automatica. Key research interests include: distributed control of interconnected systems, kernel-based system identification, and real-time optimization for energy networks. His work bridges theoretical advancements with practical applications in buildings, renewable energy, and aerospace. Recent publications highlight contributions to MPC design under uncertainty, closed-loop identification techniques, and stochastic control systems. He has pioneered methods for energy hub networks and developed tools for data-driven predictive control in smart buildings. Academic collaborations include projects with Prof. John Lygeros (ETH Zurich) and Prof. Florian Dörfler (ETH Zurich), focusing on multi-agent coordination and energy systems. His research also extends to aerospace applications such as autonomous kite power systems and spacecraft pose estimation.

• Semantic Web
• Linked Open Data
• e-Learning Systems
• +5 more

Professor Lorenzo Sommaruga holds the position of Professor in Semantic and Multimedia Systems at the Department of Innovative Technologies (DTI) , University of Applied Sciences and Arts of Southern Switzerland (SUPSI). He is affiliated with the Institute of Information Systems and Networking (ISIN). With a background in Computer Science (University of Milan, 1989) and a PhD in Psychology focusing on Distributed Artificial Intelligence from Nottingham University (1993), he has extensive academic and professional experience. Prof. Sommaruga's professional roles include leadership of the Semantic and Multimedia Lab , coordination of the Master's program in Mobile Internet Applications (2009–2012), and responsibility for numerous EU and national research projects. His expertise spans XML technologies , Linked Open Data , e-learning systems , ambient intelligence , and mixed reality . Research Highlights: Key projects include the GIOCOnDa LOD platform for smart regions, the SEE A Game entrepreneurship initiative, and the RiParTI 2.0 smart home charging system. His work emphasizes usability and accessibility in semantic web applications, with frameworks like Semantic DB , IRCS Water , and AWI . Teaching: He leads courses such as Web Applications and Applicazioni web , focusing on practical, industry-relevant skills. His pedagogical contributions extend to adult educator training via initiatives like ICT per Educatori di Adulti . Grants & Projects: Over 49 funded projects, including EU programs on entrepreneurship, smart cities, and digital factories. His work bridges theoretical research with applied solutions in domains like water management and industrial automation. Labs & Teams: Active in the Semantic and Multimedia Lab , fostering interdisciplinary collaboration between computer science, psychology, and education.

• Blockchain technology
• Coordination Games
• Governance and consensus protocols
• +1 more

Jeremias Lenzi is a Research Fellow in Economic Theory at the Faculty of Business and Economics, University of Basel, Switzerland. His office is located at Peter Merian-Weg 6, 4052 Basel. Dr. Lenzi's research focuses on blockchain technology, coordination games, governance and consensus protocols, and decentralized markets. His work explores the intersection of economic theory with emerging decentralized technologies, particularly examining how governance mechanisms function in blockchain ecosystems and decentralized market structures. His current research interests align with the growing field of decentralized finance and economic coordination mechanisms in distributed systems. Dr. Lenzi is currently working on research titled "Decentralized Governance by Bayesian Persuasion," which appears to be in progress according to the available information. Primary Research Areas: Blockchain applications in economic systems, Game theory applications to decentralized networks, Governance structures in consensus protocols His work contributes to the University of Basel's growing research presence in blockchain technology, complementing the work of faculty members like Prof. Dr. Fabian Schär (Blockchain, Cryptoassets, Decentralized Finance) and Prof. Dr. Aleksander Berentsen (DLT, Blockchain and Cryptoassets).