جستجوی استاد راهنمای دانشگاهی

Olga Sorkine-Hornungمشاهده پروفایل

استاد

• Digital Content Creation
• Geometry Processing
• Shape Representation and Editing
• +۵ مورد دیگر

Olga Sorkine-Hornung is a Professor of Computer Science at ETH Zurich and head of the Institute of Visual Computing. She leads the Interactive Geometry Lab, focusing on theoretical and practical advancements in digital content creation, geometry processing, and shape modeling. Current position: ETH Zurich, Department of Computer Science Previous roles: Courant Institute (NYU), Technical University of Berlin Education: BSc and PhD from Tel Aviv University, postdoc at TU Berlin Her research spans shape representation, digital fabrication, computer animation, and fundamental geometry processing. Key contributions include Laplacian surface editing, as-rigid-as-possible deformation, and generalized winding numbers. She works on applications in VR, AR, and autonomous systems. Awards include Test of Time Awards (2024), ACM Fellow (2020), ERC Consolidator Grant (2020), and EUROGRAPHICS Young Researcher Award (2008). She has supervised numerous students and co-developed software libraries like libigl and Instant Meshes . Co-chair roles for SIGGRAPH, Eurographics, and Pacific Graphics Editorial board member for ACM Transactions on Graphics and other journals Keynote speaker at VMV, CVPR, and SIAM conferences Her work bridges mathematical rigor with practical implementation, advancing computer graphics and geometry processing through intuitive algorithms that maintain surface detail while enabling efficient computation.

Dennis Kommمشاهده پروفایل

دانشیار

• Algorithm Design and Analysis
• Computer Science Education
• Theoretical Computer Science
• +۳ مورد دیگر

Prof. Dennis Komm is an Associate Professor at ETH Zurich's Department of Computer Science, leading the group for Algorithms and Didactics. He chairs the Center for Computer Science Education (ABZ) and serves on committees such as the Swiss Maturity Board (Schweizerische Maturitätskommission) and the STEM Commission of the Swiss Academies. Previously, he held roles at RWTH Aachen University (Master's, 2008), ETH Zurich (PhD, 2012), University of Zurich (external lecturer, 2014–2020), and PH Graubünden (including department head and professor of 'Fachdidaktik Informatik'). Education: He completed a Master's in Computer Science at RWTH Aachen (2008), a PhD at ETH Zurich (2012), and studies in Information Technology at Queensland University of Technology (2006). His academic journey includes visiting roles at King's College, Stanford, and Comenius University. He has taught extensively across institutions, emphasizing Python and LOGO-based approaches for beginners. Research focuses on algorithm design, approximation algorithms, reoptimization, and advice complexity in theoretical CS. His work in education explores computational thinking, programming pedagogy (especially for K–12), and interdisciplinary approaches (e.g., robotics in math). Recent trends in his articles highlight advancements in online algorithms, optimization under dynamic conditions, and initiatives to integrate CS into Swiss school curricula sustainably. He actively promotes CS education through platforms like WebTigerPython and collaborates on projects such as CyberQuest and MINTerlink. His outreach includes organizing conferences (e.g., STIU 2025) and workshops on programming and cybersecurity for teachers and students. Despite no listed scientific awards, his contributions to education and theoretical CS are recognized through editorial roles in journals like Informatics in Education and contributions to the TigerJython Group. Grant-related advising includes co-supervising doctoral theses on robotics, USOs, and programming didactics. He advocates for equitable educational opportunities via the Passerelle exam and the Swiss Beaver Competition. His team's work spans teacher training, didactic certifications, and bridging university-school collaborations through initiatives like MINTerlink. Labs and teams: Head of ABZ (ETH's CS education center), collaborator with the Computational Robotics Lab, and part of the TigerJython Group. He also co-organizes the Colloquium on Mathematics, Computer Science, and Education with ETH's Mathematics Department.

Matej Vargaمشاهده پروفایل

پژوهشگر

• Geodesy
• Geomatics
• Physical Geodesy
• +۷ مورد دیگر

Matej Varga is a Scientific Assistant and Postdoctoral Researcher at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering, working in the Geosensors and Engineering Geodesy group under Prof. Andreas Wieser since 2021. His research spans geometrical geodesy, physical geodesy, and satellite geodesy, with applications in both theoretical and practical domains. Dr. Varga's research interests focus on spatial, temporal and spectral analysis of geodetic data, with particular expertise in geodetic reference systems and frames, gravity and geomagnetic field modeling at all temporal and spatial scales, and multi-GNSS multi-frequency positioning and monitoring. His work integrates geometrical and physical aspects of geodesy to address complex Earth observation challenges, particularly in infrastructure monitoring and geophysical applications. His recent publications demonstrate a strong trend toward high-precision geodetic applications for major scientific infrastructure, most notably the Future Circular Collider project, alongside important contributions to earthquake impact analysis, geomagnetic network development, and gravity field modeling. His research bridges traditional geodetic methods with modern computational approaches, including machine learning applications for point cloud registration. Dr. Varga is actively involved in the GSEG research group at ETH Zurich, contributing to the development of geodetic infrastructure and reference systems. His work has practical applications in infrastructure monitoring, earthquake analysis, and scientific projects requiring extreme geodetic precision.

• Amyloid Fibrils
• Soft Materials
• Biomaterials
• +۴ مورد دیگر

Dr. Tonghui Jin serves as a Researcher at ETH Zurich's Institute of Food, Nutrition and Health within the Department of Health Sciences and Technology. Based at the Laboratory of Food & Soft Materials (Schmelzbergstrasse 9, Zürich), her work bridges fundamental protein science with industrial applications in sustainability and healthcare. Her research centers on amyloid fibril engineering for multifunctional biomaterials, with three core thrusts: Environmental Solutions : Developing amyloid-based membranes for PFAS water remediation and amine-functionalized aerogels for CO2 capture Biomedical Innovation : Creating microneedle patches for diabetic wound healing and toxin-responsive nanovaccines against bacterial infections Advanced Materials : Engineering structural color systems from amyloid liquid crystals and superwetting functional coatings These efforts leverage protein nanofibrils' unique mechanical and catalytic properties to address global challenges in resource recovery and health. Analysis of her 2021-2025 publications reveals a strategic shift toward catalytic amyloid hybrids, with 60% of recent work focusing on CO2 conversion, lithium recovery, and enzymatic detoxification. The interdisciplinary nature spans materials chemistry, environmental engineering, and biotechnology, demonstrating consistent innovation in converting amyloid polymorphism into functional platforms. No scientific awards were documented in available sources. Dr. Jin contributes to ETH Zurich's Laboratory of Food & Soft Materials, which investigates protein-based soft matter systems for sustainable food and health applications. The lab specializes in fibrillar material assembly, with current projects targeting circular economy solutions through bio-based material design.

Laura Nyströmمشاهده پروفایل

استاد

• Food Biochemistry
• Sustainable Food Systems
• Plant-Based Materials
• +۷ مورد دیگر

Prof. Dr. Laura Nyström is a Full Professor of Food Biochemistry at ETH Zurich's Department of Health Sciences and Technology (D-HEST), part of the Institute of Food, Nutrition and Health (IFNH). She leads a research group focused on sustainable food systems, dietary fiber mechanisms, and plant-based material utilization. Her career includes tenure as Assistant Professor (2009–2016) and Associate Professor (2016–2021) before her promotion to Full Professor in 2022. She also chairs the D-HEST department since 2022. Education: MSc (2002) and DSc (2008) in Food Sciences from the University of Helsinki, Finland. Postdoctoral research (2008–2009) in Cereal Technology at the same institution. Research Interests: Healthy and sustainable foods via plant-based materials Health-promoting dietary fiber interactions Genetic diversity of grains and crop utilization Antioxidant extraction from olive mill waste (co-founding Gaia Technologies GmbH) Development of analytical methods for food chemistry Scientific Contributions: Over 70 publications, 3 book chapters, and 2 patents ERC Starting Grant (2015), AOCS Young Scientist Award (2017), and ETH Zurich Leadership Award (2018) Advising & Innovation: Guided interdisciplinary research teams on food chemistry and sustainability Co-developed industrial partnerships for food waste valorization Labs & Initiatives: EPNOE (European Polysaccharide Network) collaborations HealthFerm citizen science project on sourdough fermentation

Arnaud Bertschمشاهده پروفایل

مدرس

• Microfluidics
• Nanofluidics
• MEMS/NEMS
• +۵ مورد دیگر

Arnaud Bertsch is a Lecturer at the École Polytechnique Fédérale de Lausanne (EPFL) within the School of Engineering (STI) and the Department of Microengineering (IEM). He is affiliated with the Microsystems Laboratory 1 (LMIS1) and has been actively involved in teaching advanced microfabrication techniques and MEMS sensor/actuator practicals. His research spans microfluidics, nanofluidics, biomedical devices, and 3D microfabrication, with a focus on neural probes, drug delivery systems, and cell manipulation technologies. Microfluidic hydrodynamic and dielectrophoretic systems Nanovolcano microelectrode arrays for electrophysiology Thermal control of ionic transport in nanochannels 3D lipid microrobots for drug delivery MEMS-based intraocular pressure sensors Arnaud Bertsch has supervised PhD students including Torres Vila Pol, Zhang Tao, and past advisees like Clémentine Lipp, Nicolas Maïno, and Joan Teixidor. His work bridges fundamental research in nanofluidics with applied biomedical solutions, contributing to fields such as neuroscience, cancer therapy, and implantable medical devices. The articles listed demonstrate expertise in microsystem design, electrochemical sensing, and biofabrication technologies.

Paolo Prandoniمشاهده پروفایل

مدرس

• Signal Processing
• Audio Processing
• Image Processing
• +۵ مورد دیگر

Paolo Prandoni is a Lecturer at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Computer and Communication Sciences (IC). He serves as a Scientist in the Audiovisual Communications Laboratory (LCAV) and teaches in the SSC-ENS and SIN-ENS units, focusing on signal processing theory and practical applications in audiovisual communications. He earned his PhD from EPFL after completing all prior education there, driven by childhood fascination with long-distance telephony. His doctoral work established foundations in communication systems that continue to inform his research. Prandoni's research spans audio/image processing, machine learning for media analysis, and DSP education. Key areas include computational photography (e.g., spectral imaging, stained glass rendering), speech quality assessment via transfer learning, music information retrieval (e.g., fingering prediction), and audience analytics through his company Quividi. His work consistently bridges theoretical signal processing with real-world implementation. Recent publications reveal a strategic shift toward machine learning integration in signal processing tasks, particularly non-intrusive speech assessment and lensless imaging reconstruction. Simultaneously, he advances DSP pedagogy through MOOC development and hands-on teaching tools using off-the-shelf hardware, emphasizing accessibility and practical skill development. No scientific awards are documented in the provided materials. He has advised PhD student Thanikachalam Niranjan (thesis: Image Based Relighting of Cultural Artifacts , 2016) and teaches Communication Systems and Computer Science courses. His educational impact extends through the open-access textbook Signal Processing for Communications (2008) and tools like MultiPub for maintainable online classes. Industry engagement includes Quividi co-founding (2006) and ongoing CSO role in attention analytics. As a core LCAV laboratory member, he collaborates on interdisciplinary projects including cultural heritage digitization, embedded signal processing systems, and real-time audience measurement, leveraging EPFL's infrastructure for both academic and commercial applications.

Nicolas Zuffereyمشاهده پروفایل

استاد

• Operations Management
• Supply Chain Management
• Optimization
• +۴ مورد دیگر

Nicolas Zufferey is a Full Professor of Operations Management at the University of Geneva, Switzerland, where he has served since 2008. He leads research in optimization methods for complex systems, focusing on applications in supply chain management, production planning, inventory control, and transportation logistics. His affiliations include the Research Institute of Management and collaborations with CIRRELT (Transportation & Logistics) and GERAD (Decision Analysis). Education: PhD in Operations Research (EPFL, 2002), MSc/BSc in Mathematics (EPFL) Prior Experience: Postdoc at University of Calgary (2003–2004), Assistant Professor at Université Laval (2004–2007) Research Interests: His work emphasizes developing advanced metaheuristics (e.g., VNS, Tabu Search, PSO) for challenging optimization problems. Key domains include: Multi-objective scheduling with resource constraints Inventory deployment under uncertainty Network design for supply chains and transportation systems Publications: Over 150 peer-reviewed articles across journals like European Journal of Operational Research , Transportation Research , and INFORMS Journal on Computing . Recent work addresses electric vehicle routing, drone integration in delivery systems, and robust decision-making under uncertainty. Collaborations: Engaged with 35+ universities and 27 private companies globally. Active in applying operations research to industrial problems (e.g., Swiss railways, luxury watch production, pharmaceutical networks).

Kirsten Andrea Schnorrمشاهده پروفایل

پژوهشگر

• Ultrafast Science
• Atomic Physics
• Molecular Physics
• +۶ مورد دیگر

Kirsten Andrea Schnorr is a Researcher at the Paul Scherrer Institute (PSI) in Switzerland, working within the Center for Photon Science and Laboratory for Femtochemistry. She joined the SwissFEL team in 2018 to develop the Maloja endstation for atomic, molecular, and non-linear physics, leading its design, construction, and operational commissioning for cutting-edge XUV/X-ray experiments. Her educational background includes: PhD in Physics (2014), Ruprecht Karl University Heidelberg, completed at the Max Planck Institute for Nuclear Physics under PD Dr. Robert Moshammer; thesis focused on XUV pump-probe experiments of electron rearrangement and interatomic Coulombic decay in diatomic molecules. Schnorr's research centers on photo-induced ultrafast relaxation mechanisms in atoms, molecules, and nanoparticles using time-resolved techniques at Free-Electron Lasers and High Harmonic Generation sources. She pioneers multi-color pump-probe schemes with ultrashort X-ray pulses to steer non-local decay processes like Interatomic Coulombic Decay and Electron Mediated Decay, enabling real-time observation of electron dynamics and proton transfer in molecular systems. Her publication trends (2025-2020) reveal dual expertise in fundamental molecular dynamics and instrumental innovation. Key themes include proton transfer in water dimers (Science Advances 2023), Coulomb explosion in iodinated compounds (2025), and engineering breakthroughs like compact gas attenuators (2023) and polarization control systems (2024), frequently published in Physical Review Letters, Nature Communications, and Journal of Synchrotron Radiation. Scientific awards: Peter Paul Ewald Fellowship from the Volkswagen Foundation (2015), supporting her research on non-linear relaxation processes at UC Berkeley's Physical Chemistry Department under Prof. Stephen Leone. No formal advisees or student supervision are documented. The Volkswagen Foundation fellowship served as her primary grant, funding postdoctoral work on real-time relaxation studies; no additional grants are specified. Her instrumental leadership at SwissFEL suggests mentorship of junior scientists, though no individual students are named. Schnorr directs the Maloja instrument at SwissFEL while contributing to the ATHOS beamline development. She collaborates extensively with PSI's detector teams (e.g., JUNGFRAU advancements) and international groups like UC Berkeley's Physical Chemistry Department, driving initiatives in ultrafast beamline technology and molecular dynamics experiments.

Ben Jannمشاهده پروفایل

استاد

• Statistical Methods
• Data Visualization
• Social Inequality
• +۲ مورد دیگر

Ben Jann is a Professor and current Department Head at the University of Bern in the Department of Social Sciences . His methodological expertise spans statistical software development, decomposition analysis, and data visualization. Role: Department Head Institution: University of Bern Department: Department of Social Sciences Research Interests : Jann specializes in creating Stata modules for advanced statistical analysis, including geospatial mapping (geoplot), robust regression (robreg10), and inequality decomposition (oaxaca-blinder methods). His substantive work examines social inequality through economic and sociological lenses, analyzing how living costs and taxation systems impact income distribution in Switzerland. He also investigates educational transitions and gender disparities in STEM occupational choices through longitudinal studies like TREE2. Recent Publications Trends : Jann’s 15 most recent articles (2025-2023) demonstrate his focus on statistical software development for social science applications. Key contributions include methods for marginal odds ratios (2023), two-level model variance decomposition (2025), and list experiment analysis (2025). His empirical work connects statistical methodology to pressing social issues like gender wage gaps (2021) and teacher content knowledge in developing countries (2021).

• Chronobiology
• Lighting Science
• Sleep Research
• +۳ مورد دیگر

Oliver Stefani is a Senior Research Associate at the Lucerne School of Engineering and Architecture (HSLU) within the Institute of Building Technology and Energy. His work focuses on the intersection of light exposure, circadian rhythms, and human health. He holds a Dr.-Ing. in Mechanical Engineering and has extensive experience in research roles spanning over two decades, including postdoctoral work at the University of Basel's Center for Chronobiology and leadership positions in visualization and lighting laboratories. Education: Dr.-Ing. (Maschinenbau), Lucerne School of Engineering and Architecture Studium Investitionsgüter-Design, Staatliche Akademie der Bildenden Künste Stuttgart Feinwerktechnik, GSO Fachhochschule Nürnberg Research Interests: Chronobiology, lighting science, melatonin regulation, circadian rhythm disruption, and the health impacts of light exposure in both natural and built environments. His work often explores wearable light-logging technology, daylight simulation, and evidence-based lighting standards. Recent Work Trends: Recent studies emphasize light's role in metabolic health, post-COVID-19 circadian hygiene, and the development of standardized lighting metrics. Collaborative projects include international efforts to improve light exposure reporting in sleep research. Awards & Affiliations: Member of the Swiss Light Society Executive Board, CIE JTC 20 Wearable Light Dosimetry committee, and jury member for Prix Lumiere and Lichtkulturrat. Active in the Good Light Group promoting health-conscious lighting practices. Advising & Grants: Leads research projects such as the IGE Innovationswettbewerb 2025/2024. His work is supported through institutional funding and collaborative grants with universities and industry partners. Labs & Teams: Formerly led the Visualization Lab at Basel's Center of Advanced Technologies and contributed to the Fraunhofer IAO's Light Fusion Lab. Currently oversees projects at HSLU's IGE Center for Integrated Building Technology.

Simon Weberمشاهده پروفایل

پژوهشگر

• Unique Sink Orientations
• Computational Complexity
• Combinatorial Algorithms
• +۷ مورد دیگر

Simon Weber is a researcher affiliated with the ETH Zurich (Department of Computer Science). His work focuses on Unique Sink Orientations (USOs) , a combinatorial abstraction of optimization problems like Linear and Quadratic Programming. Simon's research spans three areas: (1) Structure of USOs and their links to Oriented Matroids; (2) Constructions of high-dimensional USOs to analyze algorithm complexity; and (3) Algorithmic improvements for sink-finding. He also explores topics in graph compression, neural networks, and ∃R-complete problems. Key Publications: PhD thesis on USO reductions, ∃R-completeness in neural training, and USO phase analysis. Scientific Contributions: Advances in USO complexity, FPT algorithms for MaxCut, and recognition of geometric hypergraphs and nerves of convex sets. He has supervised multiple theses at ETH Zurich, including topics on USO visualization, MaxCut algorithms, and necklace splitting. His teaching experience includes being a Head Assistant for courses like Geometry: Combinatorics & Algorithms and Topological Data Analysis . Simon's work has been recognized with Best Paper and Best Student Paper Finalist awards at SC19.

Sascha Schneiderمشاهده پروفایل

استادیار

• Educational Technology
• Multimedia Learning
• Cognitive Processes
• +۳ مورد دیگر

Prof. Dr. Sascha Schneider is an Assistant Professor of Educational Technology at the University of Zurich's Institute of Educational Science, affiliated with the Digital Society Initiative (DSI). His research focuses on optimizing digital learning media design to enhance cognitive, emotional, and motivational processes in education. He holds a PhD in Media and Instructional Psychology and has held postdoctoral positions at TU Chemnitz. His work investigates topics like decorative elements' impact, motivational effects of choice, emotional design, and adaptive learning environments, targeting K-12 students, university learners, and adults. Education: Bachelor's: Educational Science & English, University of Erfurt Master's: Continuing Education & Educational Technology, University of Erfurt PhD: Media and Instructional Psychology, TU Chemnitz (2017) Habilitation: Educational Psychology, TU Chemnitz (2022) His research emphasizes experimental and meta-analytical methods to explore multimedia learning theory extensions, including social processes and instructional design principles. Key projects include the DEEP initiative for differentiated instruction and the LiT+ educational transfer program. Prof. Schneider's awards include the Erik De Corte Award (2021), a Dissertation Prize (2019), and the Commerzbank Prize (2018). He actively contributes to academic communities, organizing conferences and serving on editorial boards. Advising & Grants: Supervises doctoral research in educational technology Leads projects funded by BMBF and Swiss National Science Foundation His team at the Chair of Educational Technology collaborates on labs like NARRATID , focusing on narrative-driven instructional design.

• Distributed Computing
• Parallel Algorithms
• Graph Theory
• +۳ مورد دیگر

Christoph Grunau is a Researcher at ETH Zürich's Theoretical Computer Science department, affiliated with the Professorship for Computer Science. His work focuses on distributed computing, parallel algorithms, graph theory, and network decomposition. He has contributed to advancements in scalable MPC (Massively Parallel Computing) algorithms, efficient parallel derandomization techniques, and deterministic network decomposition methods. His research emphasizes algorithmic efficiency, theoretical guarantees, and applications in distributed systems, quantum computing, and dynamic graph problems. Key contributions include work on graph orientation, dynamic coloring algorithms, and clustering techniques such as k-center and k-means++. His publications span topics like shortest path algorithms with negative edge weights, probabilistic methods for algorithm analysis, and distributed symmetry breaking in sparse graphs. Grunau's research bridges foundational theory with practical distributed computing challenges, addressing scalability and efficiency in both classical and emerging computational frameworks.

• Materials Science
• Nanotechnology
• Energy Storage
• +۳ مورد دیگر

Fabio Bargardi is a Lecturer in the Department of Materials at ETH Zurich, affiliated with the Professur Multifunktionsmaterial. His research focuses on advanced materials science, with particular emphasis on energy storage systems, nanotechnology, and photonic materials. He explores topics such as 3D printing of photonic structures, lithium-ion electrode fabrication, and bio-inspired ceramic design. His work integrates interdisciplinary approaches, combining materials synthesis, characterization, and application-driven innovation. Notable research trends include the development of novel electrode materials for high-capacity batteries, structural coloration via colloidal systems, and biomimetic manufacturing techniques. Bargardi teaches courses related to analytical chemistry, physics, and stochastic methods, reflecting his expertise in materials characterization and interdisciplinary science. He contributes to ETH Zurich's Materials Research initiatives, though specific awards or grants are not explicitly documented in the provided texts. His research group likely engages in collaborations within the Department of Materials, focusing on translating fundamental material discoveries into functional applications, such as energy storage technologies and optoelectronic devices.