Find Academic Supervisors

• Circular Economy in construction
• Sustainability assessment of alkali-activated materials (AAMs)
• Life cycle assessment
• +3 more

Anastasija Komkova is a Lecturer at the Department of Civil, Environmental and Geomatic Engineering at ETH Zürich, where she has also been a PhD student since 2019. Her research focuses on sustainability assessment of alkali-activated materials (AAMs) within circular economy frameworks, emphasizing environmental performance, supply chain optimization for industrial by-products, and life cycle analysis in construction. She holds a Master’s degree in Environmental and Natural Resource Economics from Copenhagen University (2015), with an Erasmus exchange at Vienna University. Prior to her PhD, she worked as a consultant at the Institute of Applied Economics, contributing to EU projects on recycling waste in construction materials. She is currently part of the EU H2020 ETN DuRSAAM, a PhD training network advancing durable and sustainable AAM-based structures. Education: PhD Candidate, Chair of Sustainable Construction, ETH Zürich (2019–present) MSc Environmental and Natural Resource Economics, University of Copenhagen (2015) Erasmus Exchange, University of Vienna (2014) Research Interests: Anastasija’s work bridges environmental and economic disciplines, addressing challenges in circular economy implementation within construction. Key areas include: Environmental impact assessment of AAMs Supply chain network optimization for waste materials Microeconomic modeling of recycling incentives Life cycle assessment (LCA) methodologies Her research emphasizes industrial symbiosis, regional material integration, and policy frameworks to enhance sustainability. Publications: Recent work highlights her focus on circular economy applications, including optimizing waste material supply chains, developing AAM-based repair mortars, and analyzing thermal performance of geopolymer concretes. Her studies often employ multi-objective optimization and life cycle assessment to evaluate trade-offs between environmental impact and economic feasibility. Awards: No specific awards mentioned, though her involvement in EU-funded projects underscores recognition of her research impact. Grants & Collaborations: Key participation in the EU H2020 ETN DuRSAAM network demonstrates her role in advancing interdisciplinary research on sustainable construction materials. Her prior consultancy work with the Institute of Applied Economics reflects industry-academia collaboration experience. Labs/Teams: Affiliated with the Chair of Sustainable Construction at ETH Zürich and the ETN DuRSAAM consortium, collaborating with academic and industrial partners across Europe to advance AAM applications.

Javier Argota Sánchez-VaquerizoView profile

Lecturer

• Urban Digital Twins
• Participatory Governance
• Mobility Systems
• +2 more

Javier Argota Sánchez-Vaquerizo is Lecturer in Computational Social Science at ETH Zurich, bridging architecture, urban design, and data science to transform urban decision-making. His work develops urban digital twins integrating human-computer intelligence for participatory governance and sustainable cities. Research integrates: Digital twin architectures for urban complexity Mobility system democratization VR-enabled participatory design Mixed-traffic optimization Deliberative democracy frameworks Recent publications demonstrate empirical validation of large-scale urban simulations (Barcelona traffic), VR studies of pedestrian perception, and comparative analyses of bike-sharing accessibility. Methodological innovations include multi-agent lane management (FAIRLANE) and open-source route recommendation systems prioritizing multi-criteria equity. Collaborates with Singapore's Future Cities Laboratory and European Research Council projects. Exhibited architectural work at Venice Biennale. Current projects examine metaverse-urbanism intersections and institutional frameworks for democratic digital twins.

Bruno SudretView profile

Professor

• Uncertainty Quantification
• Reliability Analysis
• Sensitivity Analysis
• +3 more

Prof. Bruno Sudret is a Full Professor of Risk, Safety, and Uncertainty Quantification at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering. His research focuses on computational methods for uncertainty quantification, reliability analysis, and Bayesian approaches for model calibration. He has contributed to the development of the UQLab software framework and the UQWorld community platform. Before joining ETH Zurich in 2012, Sudret held roles at the University of Berkeley (postdoc), EDF R&D (researcher and group head), and Phimeca Engineering (Director of Research and Strategy). Education: Master's in Science from Ecole Polytechnique (1993), Master's and PhD in Civil Engineering from Ecole Nationale des Ponts et Chaussées (1996, 1999). His work emphasizes stochastic simulators, surrogate modeling, and reliability-based design optimization. He serves on editorial boards for journals like Reliability Engineering and Systems Safety and Structural Safety .

Sachit MahajanView profile

Lecturer

• Computational Social Science
• Responsible AI
• Participatory Sensing
• +7 more

Dr. Sachit Mahajan Senior Researcher and Lecturer in the Computational Social Science (COSS) group at ETH Zurich, Switzerland. Specializes in responsible AI, participatory sensing, and computational social science with a focus on integrating ethical frameworks into technology development. Affiliations: Department of Humanities, Social and Political Sciences (D-GESS), ETH Zurich. Education: PhD in Social Networks and Human-Centered Computing (Academia Sinica), Postdoctoral Research (University of Cambridge and University of Surrey). Research: Develops frameworks for AI ethics, citizen science, and urban sustainability. Notable projects include the greenR package for urban greenness quantification, CAR routing algorithm for air quality navigation, and VAYU toolbox for sensor data analysis. Explores co-creation methodologies for equitable technology governance. Key Contributions: Over 30 peer-reviewed publications, including work on participatory environmental monitoring and smart city design. Active in open-source tool development and global citizen science initiatives. Awards: While no explicit awards listed, recognized for impactful contributions to open-source urban analytics and ethical AI frameworks.

• Machine Learning
• Computer Vision
• Statistical Mechanics
• +3 more

Anastasia Remizova is a Doctoral Assistant at the Lab for Statistical Mechanics of Inference in Large Systems (SMILS) within the School of Computer and Communication Sciences (IC) at EPFL. She is concurrently enrolled in the Doctoral Program in Computer and Communication Sciences . Additionally, she serves as Treasurer of the Association des Étudiants Russophones . Her research interests revolve around Machine Learning , Computer Vision , and Statistical Mechanics , focusing on topics like stochastic gradient dynamics, image inpainting, and adversarial learning. Recent publications highlight contributions to test risk analysis in weak feature scenarios and resolution-robust image restoration techniques. While no scientific awards are explicitly mentioned, her work demonstrates engagement with cutting-edge interdisciplinary research at the intersection of inference algorithms and large-scale systems. She is affiliated with the SMILS lab, where her doctoral research likely intersects theoretical and applied aspects of statistical mechanics in modern AI systems.

Tim TröndleView profile

Lecturer

• Energy Transition
• Climate Policy
• Energy System Modeling
• +1 more

Dr. Tim Tröndle is a Lecturer at ETH Zurich's Department of Environmental Systems Science, specializing in climate protection and adaptation. His research focuses on barriers to energy transition and policy instrument development, addressing societal trade-offs and lock-in effects through quantitative methods including energy system modeling and Bayesian probabilistic models. His work emphasizes the energy transition's societal impacts, particularly trade-offs between self-sufficiency and landscape integrity. Current projects investigate climate change effects on forest communities and species' functional traits. Methodologically, he employs high-performance computing and reproducible research frameworks. Research publications predominantly focus on renewable energy systems, climate-neutral aviation solutions, and policy modeling across European contexts. Recent work analyzes techno-economic pathways for decarbonization, public acceptance of energy transitions, and grid resilience strategies.

• Multi-agent systems
• Real-Time Systems
• Explainable AI (XAI)
• +5 more

Davide Calvaresi is an Associate Professor at HES-SO Valais-Wallis (University of Applied Sciences and Arts Western Switzerland) in the Engineering and IT school within the Computer Science and Communication Systems department. His research focuses on multi-agent systems , real-time systems , explainable AI (XAI) , and blockchain for trustworthy applications in healthcare and safety-critical domains. Current projects include EXPECTATION (Personalized Explainable AI for decentralized agents) and past projects like Axe Santé 2020 (interdisciplinary health research) and Simulator of multi-agent systems (timing reliability analysis). Collaborations include researchers from University of Bologna, University of Luxembourg, and Ozyegin University. Recent publications focus on swarm intelligence in IoT , ethical AI for aging populations , and explainable health coaching systems Technical contributions include DEXiRE (rule extraction from neural networks), SCoDES (blockchain-based consent management), and HAExA (parsimonious XAI architecture)

Laura GrigoriView profile

Professor

• Numerical Linear Algebra
• High Performance Computing
• Deterministic and Randomized Algorithms
• +4 more

Laura Grigori is a Full Professor and Chair of High Performance Numerical Algorithms and Simulations at EPFL's School of Basic Sciences (SB) Department of Mathematics (MATH). Her research focuses on numerical linear algebra, high performance computing, and tensor computations, with applications in astrophysics and molecular simulations. She leads the HPNalgs lab and teaches courses in numerical analysis and HPC. Her awards include the SIAM Supercomputing Career Prize (2024) and SIAM Fellow distinction (2020). She advises four PhD students and has authored numerous papers on communication-avoiding algorithms, randomized methods, and parallel linear algebra techniques. Her work addresses scalability challenges in scientific computing and large-scale data analysis. Labs/Teams: HPNalgs Lab (https://www.epfl.ch/labs/hpnalgs/) Grants: ERC Synergy Grant (2019) for Extreme-scale Computational Chemistry

• Power Systems
• Energy Systems Optimization
• Renewable Energy Integration
• +3 more

Prof. Andersson is a faculty member at ETH Zurich's Power Systems Laboratory (PSL) within the Department of Information Technology and Electrical Engineering (D-ITET). His research focuses on power systems security, multi-energy systems, and the integration of renewable energy sources. He has advised numerous PhD students, including Hubert Abgottspon, Jost Allmeling, and Spyros Chatzivasileiadis, whose theses address topics like hydro power planning and HVDC systems. His work spans energy system optimization, grid stability, and smart grid technologies, with notable contributions to frequency control and multi-carrier energy systems. Prof. Andersson's research emphasizes practical applications, such as operational flexibility in transmission systems and demand response mechanisms. His lab, PSL, collaborates on projects like dynamic line rating and coordinated control of HVDC links. While no scientific awards are listed, his extensive publication record highlights his leadership in power systems innovation. He oversees a vibrant academic community, with alumni contributing to industries ranging from grid planning to energy policy. The lab's activities include developing models for integrated gas-electric systems and exploring the role of electric vehicles in smart grids.

Semyon MalamudView profile

Associate Professor

• Big Data
• Machine Learning
• Liquidity and Market Frictions
• +8 more

Semyon Malamud is an Associate Professor of Finance at the Swiss Finance Institute at École Polytechnique Fédérale de Lausanne (EPFL), where he has held a tenured position since October 2015. He is also a Research Fellow at the Center for Economic Policy Research (CEPR), a Senior Chair at the Swiss Finance Institute, and has served as a Visiting Assistant Professor at the University of Texas at Austin’s McCombs School of Business and a Visiting Professor at UBC Sauder School of Business in 2020. Additionally, he holds a Research Fellow position at the Bank for International Settlements and was a Lamfalussy Fellow of the European Central Bank in 2015. Education: Ph.D. in Mathematics, Swiss Federal Institute of Technology (ETH Zurich), Switzerland, May 2006. Diploma in Mathematics, Donetsk National University, Donetsk, Ukraine, July 2001. Current Research Interests: Big Data and Machine Learning , focusing on their applications in asset pricing and financial markets. Liquidity and Market Frictions , exploring their impact on market dynamics and investment strategies. International Finance , including exchange rate models and dominant currency debt. Information Economics , studying information percolation and equilibrium-driven market behaviors. Equilibrium Asset Pricing and Optimal Contracting , addressing viable markets and security design. Network Economics and Corporate Finance , analyzing market integration and corporate capital structure. Work in Macroeconomics , particularly in endogenous growth and risk management. Scientific Awards and Grants: INQUIRE Europe Research Grant (2022) Lamfalussy Fellow of the European Central Bank (2015) Joint INQUIRE Europe-INQUIRE UK Prize (2015) CEPR Research Fellow (2015–present) ETF Academy Award (2015) Europlace Institute of Finance Award (2015) Swiss National Science Foundation Starting Grant (CHF 1m, 5 years) Dauphine Amundi Prize in Asset Management (2014 and 2013) Swiss Finance Institute Research Grant (2013–2015) Narrative on Advising and Grants: Malamud’s research has been supported through prestigious grants such as the Swiss National Science Foundation Starting Grant and INQUIRE Europe awards. He has collaborated extensively with scholars like Bryan Kelly, Darrell Duffie, and Julien Hugonnier. As an Associate Editor for top journals including the Journal of Finance and Journal of Financial Econometrics , he contributes to academic rigor in finance. His work on machine learning applications and large factor models reflects cutting-edge trends in financial economics. Labs and Teams: Malamud’s research is anchored within the Swiss Finance Institute (SFI) and its collaborative networks. He actively engages with the CEPR and BIS research communities, contributing to interdisciplinary projects in financial markets and policy.

Tom GriffithsView profile

Professor

• Computational Cognitive Science
• Bayesian Statistics
• Resource-Rational Analysis
• +3 more

Tom Griffiths is a Professor of Psychology and Cognitive Science at Princeton University, directing the Computational Cognitive Science Lab and co-leading the Princeton Laboratory for Artificial Intelligence . His research spans computational models of human cognition, Bayesian statistics, and AI systems. Key research themes: mathematical foundations of human intelligence, resource-rational analysis of decision-making, cultural evolution, and AI-human alignment Awards: National Science Foundation, Sloan Foundation, American Psychological Association, Psychonomic Society Recent publications focus on large language models, cognitive resource optimization, and cross-disciplinary insights from psychology, computer science, and neuroscience. He is also co-author of the popular science book Algorithms to Live By .

• Human-Computer Interaction
• Energy Efficiency
• Robotics
• +4 more

Julien Nembrini is a Lecturer and Senior Researcher at the Department of Informatics within the Interfaculty of Informatics at the University of Fribourg. His roles include affiliations with the Human-IST (Human-centered Interaction Science and Technology) group and the Department of Informatics. He holds a PhD in Mechanical Engineering and focuses on interdisciplinary research at the intersection of human-computer interaction, robotics, and sustainable architecture. His research interests span human-building interaction , energy-efficient lighting systems , swarm robotics , and computational design tools . Notable projects include developing smart lighting systems that balance energy efficiency with user comfort, and exploring emergent behaviors in wireless robotic swarms. He has collaborated on projects like VOILES/SAILS (self-assembling lighter-than-air robotic structures) and Source Studio (teaching programming to architects). Recent work emphasizes user-centered approaches to technology integration, such as no-code programming for industrial robots and visual analytics for building management systems (BMS). His publications highlight interdisciplinary methods, combining simulation, machine learning, and human factors analysis. He has contributed to book chapters on topics like low-carbon building design and swarm engineering, and has taught courses integrating computational methods with architectural and engineering practices. His work often bridges academic research with practical applications in sustainability and human-centered technology.

• Machine Learning
• DevOps
• Distributed Computing
• +5 more

Roland Christen is a Senior Research Associate at the Lucerne School of Computer Science and Information Technology, part of the Lucerne School of Applied Sciences and Arts (HSLU). He specializes in software architecture, DevOps, distributed systems, and machine learning applications across healthcare and commerce. Christen actively contributes to STEM outreach initiatives like RobertaRegioZentrum Luzern and YoungTech@hslu, emphasizing education and technology accessibility. His professional expertise spans software design, microservices, agile methodologies, and database technologies. He leads research projects in quantum cryptography, medical image analysis (e.g., psoriasis detection), AI-driven e-commerce, and predictive modeling for tourism markets. Notable outputs include peer-reviewed work on machine learning for dermatology and conference presentations on quantum privacy amplification and GPU computing. Christen holds a Roberta® Teacher Certification from the Fraunhofer IAIS and has contributed to interdisciplinary projects like Deep Neural Yodeling and Skin-App: Medical Severity Grading of Hand Eczema. He also maintains strong ties to applied fields through lab collaborations and industry partnerships, bridging academia and practical innovation.

Oliver HirschiView profile

Lecturer

• Information Security
• Cybersecurity
• Risk Management
• +4 more

Oliver Hirschi is a Lecturer and Head of the «eBanking – aber sicher!» project at the Lucerne School of Computer Science and Information Technology, Hochschule Luzern. He also serves as Managing Director of SecAware GmbH since 2019. His professional background includes over 15 years of expertise in information security, covering roles as Senior Researcher and IT Teacher. Hirschi holds advanced qualifications including a Master of Science in Business Information Technology, a Master of Advanced Studies in Information Security, and certifications in university didactics and ISO/IEC 27001 Lead Auditor. His research focuses on cybersecurity, risk management, and awareness programs, particularly in banking and SME sectors. Education highlights include: CAS in University Didactics (HSLU, 2016–2019) M.Sc. in Business Information Technology (HSLU, 2013–2015) MAS in Information Security (HSLU, 2009–2010) Dipl. Ing. Informatik FH (HSLU, 1997–2000) Research interests emphasize practical cybersecurity solutions, including secure banking practices, threat analysis, compliance frameworks, and employee awareness campaigns. His publications include the widely cited Informationssicherheitshandbuch für die Praxis and annual reports on eBanking security trends. He actively engages in national studies on Swiss SME cybersecurity challenges and frequently presents at conferences on emerging cyber threats and mitigation strategies. Achievements include: ISO/IEC 27001:2013 Lead Auditor certification Leadership in the «eBanking – aber sicher!» initiative since 2013 Contributions to national cybersecurity awareness campaigns He advises on information security strategies for financial institutions and SMEs, combining academic research with industry实践. His team collaborates with banks and technology firms to develop practical security solutions, emphasizing real-world applicability and regulatory adherence.

• Electrical Engineering
• Communication Systems
• Microwave Engineering
• +5 more

Marcel Joss is a Lecturer at the Institute of Electrical Engineering (IET) within the Lucerne School of Engineering and Architecture at Hochschule Luzern, Technik & Architektur. He has held this position since 2003 and previously served as the Head of the Electrical Engineering Department (2005–2010) and project leader for Bologna reform implementation (2003–2005). His expertise spans telecommunications, microwave engineering, and autonomous systems. Education 1983–86: Diploma in Electrical Engineering, HTL Brugg/Windisch 1989–92: Advanced Diploma in System Technology, Neu-Technikum Buchs SG 1995–96: Master of Science in Communication Networks, EPF Lausanne 2000: International Executive Program (INSEAD) Research Interests Dr. Joss focuses on microwave engineering, satellite communication, wireless power transfer, and autonomous systems. His work includes projects like the CHESS CubeSat mission for atmospheric research, microwave-based medical monitoring, and innovative data communication solutions for cableway systems. He actively explores applications in industrial automation, sensor networks, and energy-efficient systems. Key Projects Satellite Tracking with Radio Detection Wireless Power Transmission at Millimeter Waves CHESS CubeSat Atmospheric Dynamics Measurement Multiband Sensor Networks (MBSnet) Professional Contributions Joss has led Swisscom Mobile AG teams in network development and technology integration. He is also a member of the Amateur Radio Club at HSLU, promoting hands-on technical education. His presentations on 5G technology, antenna design, and railway communication highlight his dual focus on academic and industrial innovation.