جست‌وجوی استاد و پژوهشگر

• Natural Language Processing
• Speech Technology
• Computer-Assisted Language Learning (CALL)
• +۵ مورد دیگر

Nikolaos Tsourakis is a researcher affiliated with the University of Geneva , specifically the Faculty of Translation and Interpreting , and contributes to the TIM/ISSCO research groups. His work primarily focuses on natural language processing, speech technology, and computer-assisted language learning (CALL), with a strong emphasis on accessibility and medical applications. Research Interests Natural Language Processing Speech-to-Speech Translation Text Simplification Computer-Assisted Language Learning (CALL) Medical Informatics Multimodal Interaction Tsourakis's recent publications highlight advancements in French text simplification, robust synthetic data generation, and the use of BERT for complexity assessment. His work often integrates machine learning techniques with practical applications in medical and educational contexts. Notable Projects BabelDr : Web platform for rapid development of medical speech translation CALL-SLT : Spoken CALL systems for language learning MEDSLT : Medical speech translation systems Tsourakis has supervised no formal advisees but has contributed to numerous publications and research initiatives, particularly in low-resource language processing and ethical AI design.

Stefanie Bräuerمشاهده پروفایل

مدرس

• Art History
• Media Studies
• History of Audiovisual Practices
• +۶ مورد دیگر

Dr. Stefanie Bräuer is an art historian and media scholar currently serving as a Lecturer at Lucerne University of Applied Sciences and Arts (Hochschule Luzern) and as a PostDoc at the Critical Media Lab, IXDM HGK Basel. Her academic journey includes doctoral studies at the University of Basel, where she defended her dissertation on electronic oscilloscopy in animated experimental film of the early 1950s in December 2021. Her research focuses on the history of audiovisual practices with particular attention to animation, theories and cultures of digital media, and the media aesthetics of experimental procedures across arts, sciences, and technology. She is currently working on video production and online activism in the 1980s and 1990s, with a specific focus on Basel's historical network analysis of video practice and net activism during this period. Bräuer's scholarly output reveals a consistent engagement with media archaeology, particularly examining the intersection of early electronic technologies and cinematic practices. Her publications demonstrate expertise in experimental animation, oscilloscope imaging, audiovisual synthesis, and the material dimensions of media. She has established herself as a significant voice in understanding how technological affordances shape creative practices, especially in the context of 1950s experimental film and 1980s-1990s video activism. Doc.Mobility-Stipendium des Schweizerischen Nationalfonds (2017-2018) Förderung der Christoph Merian Stiftung (2021-2022) Stipendiatin der Studienstiftung des deutschen Volkes (2006-2010) Reisefonds für akademischen Nachwuchs der Universität Basel (multiple awards) Her teaching portfolio spans multiple institutions including Hochschule Luzern and HGK FHNW Basel, where she has instructed courses on the history of audiovisuality, digital media theory and culture, creative coding, and media aesthetics of experimental practices. She has also contributed to academic discourse through numerous conference presentations across Europe, with upcoming engagements scheduled through 2025. Her work bridges historical media practices with contemporary digital culture, making significant contributions to our understanding of media's evolving role in society.

Toni Kraftمشاهده پروفایل

پژوهشگر

• Geophysics
• Seismology
• Induced Seismicity
• +۳ مورد دیگر

Dr. Toni Kraft is a researcher at the Swiss Seismological Service (SED) within ETH Zurich's Department of Earth and Planetary Sciences. His work focuses on induced seismicity monitoring in geothermal projects, microseismic analysis, and tectonic dynamics in alpine regions. He contributes to Switzerland's national seismic monitoring infrastructure and collaborates on international projects like GEOBEST, developing tools for optimizing microseismic networks and analyzing fault reactivation mechanisms. Key research interests include geothermal energy-related seismic risks, climate change impacts on mountain belt seismicity, and innovative applications of machine learning in seismic data analysis. His expertise spans from theoretical fault mechanics to practical monitoring protocols for urban geothermal developments. Dr. Kraft has published extensively on induced seismicity patterns in Swiss geothermal sites (Basel, St. Gallen), microearthquake sequence analysis, and meteorological influences on seismic activity. His work integrates field observations with computational models to improve hazard assessment frameworks.

• Quantum Computing
• Quantum Error Correction
• Superconductivity
• +۳ مورد دیگر

Dr. Christoph Hellings is a Lecturer at the Department of Physics at ETH Zürich, specializing in quantum technologies and superconducting circuits. His research focuses on quantum error correction, quantum hardware implementation, and the development of scalable quantum systems. He contributes to advancements in superconducting qubit architectures, leakage reduction mechanisms, and fault-tolerant quantum computing protocols. His work bridges theoretical models with experimental validation, particularly in areas like stabilizer code decoding, lattice surgery, and device-independent randomness amplification. Hellings collaborates on projects involving multi-module quantum processors, photonic cluster states, and real-time feedforward systems. His experiments frequently address practical challenges such as magnetic flux control, inter-chip coupling optimization, and mitigation of loss mechanisms in superconducting circuits. Key research themes include improving qubit coherence times, enhancing gate fidelity through dynamic control, and advancing quantum error correction techniques for surface codes. Recent studies explore the integration of leakage reduction units and the characterization of quantum processor performance under realistic conditions.

Stefano Mintchevمشاهده پروفایل

استادیار

• Environmental Robotics
• Biodiversity Monitoring
• Autonomous Systems
• +۷ مورد دیگر

Prof. Stefano Mintchev is an Assistant Professor at ETH Zurich's Department of Environmental Systems Science, leading the Environmental Robotics Lab since 2020. His research focuses on developing robots to explore complex natural environments, particularly forest canopies for ecological data collection. He holds a Ph.D. in Biorobotics from Italy’s BioRobotics Institute and has extensive postdoctoral experience in aerial robotics at EPFL. His work bridges robotics engineering and environmental science, emphasizing multimodal locomotion, perception, and soft manipulation for ecosystem assessment. Education: B.Sc./M.Sc. in Mechanical Engineering from University of Pisa/Sant'Anna School (2005–2010), Ph.D. in Biorobotics (2014). Professional roles include CTO of Foldaway Haptics (2017–2020) and contributions to projects like Mercedes-Benz’s VISION AVTR concept car. Research collaborations span international initiatives like FP6/FP7 EU projects and Switzerland’s NCCR Robotics. Research interests include arboreal robot development, environmental DNA sampling via drones, and biodegradable robotic components. His articles highlight innovations in aerial-tethered robots, tactile sensing systems, and user-centric agricultural drone applications. Lab affiliations include ETH Zurich and WSL (Swiss Federal Institute for Forest, Snow and Landscape Research).

• Analog Circuits Design
• Mixed-Mode Electronics
• Low Power Electronics
• +۵ مورد دیگر

Maher Kayal is an Honorary Professor at the École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, affiliated with the School of Engineering (STI) and the Department of Mechanical and Process Engineering (STI-SMT). His primary role involves academic leadership in electronics and energy management research. He holds a Master's and PhD in Electrical Engineering from EPFL (1983 and 1989 respectively), and has been with the Electronics Laboratory (ELab) since 1990, directing the 'Energy Management and Sustainability' section. His work focuses on analog/mixed-signal IC design, energy harvesting, smart grid technologies, and sensor systems. Education: M.S. (1983), Ph.D. (1989) in Electrical Engineering, EPFL. Affiliations: EPFL’s Electronics Laboratory (ELab), School of Engineering. Research interests include ultra-low-power sensor interfaces, energy-efficient electronics for smart buildings, and real-time power grid emulation. He has authored/co-authored three textbooks on mixed-mode CMOS design and holds 11 patents. His work bridges semiconductor physics, circuit design, and energy systems. Recent articles focus on wearable biosensors (ANTIGONE project), blockchain-based smart-building energy management, and high-speed power system emulators. Notable awards include the Credit Suisse Teaching Award (2009) and multiple best-paper prizes at IEEE conferences. He has advised over 30 PhD students, with notable alumni working in semiconductor design and energy systems. His labs pioneer innovations in analog emulation for power systems and IoT-enabled smart infrastructure.

Peter H. Gruberمشاهده پروفایل

مدرس ارشد

• Asset Pricing
• Risk Premia
• Numerical Methods
• +۴ مورد دیگر

Peter H. Gruber is a Senior Lecturer and Senior Scientist at the Università della Svizzera Italiana (USI), Faculty of Economics, in Lugano, Switzerland. He has been affiliated with USI since 2008. PhD in Physics from TU Wien PhD in Finance from Università della Svizzera Italiana His research spans multiple disciplines, focusing on: Asset Pricing, particularly risk premia and stochastic volatility models Numerical Methods in finance and econometrics Economics of Cryptocurrencies and Entrepreneurship High-Performance Computing applications in economics His publication trends highlight expertise in option pricing models , matrix affine jump diffusion (MAJD) frameworks, and stochastic skewness analysis. Earlier work in particle physics demonstrates interdisciplinary technical proficiency. At USI, he teaches numerical methods using MATLAB and R, and develops computational resources for financial econometrics and macroeconomic analysis.

• Algorithms
• Computational Geometry
• Optimization
• +۳ مورد دیگر

Prof. Bernd Gärtner is a Lecturer at the Department of Computer Science of ETH Zürich. His research focuses on algorithms, computational geometry, optimization, and theoretical computer science. He has contributed significantly to the study of unique sink orientations, combinatorial algorithms, and algorithm design. Gärtner teaches courses such as 'Algorithms, Probability, and Computing' and 'Geometry: Combinatorics and Algorithms,' reflecting his expertise in foundational computer science topics. His work bridges discrete mathematics and algorithmic theory, addressing challenges in linear programming, combinatorial optimization, and geometric algorithms. His recent research explores the realizability of structures in unique sink orientations, optimization techniques for symbolic visibility, and the analysis of opinion dynamics in networks. He has published extensively on topics including ARRIVAL game complexity, sampling algorithms, and high-dimensional learning models. His contributions also extend to the development of efficient algorithms for geometric problems and the study of cellular automata systems. Teaching: Courses include Algorithms, Probability, and Computing (252-0209-00L), Linear Algebra (401-0131-00L), and Geometry: Combinatorics and Algorithms. Research Interests: Algorithms, computational geometry, optimization, combinatorics, and theoretical computer science. Labs/Teams: Affiliated with the Institute of Theoretical Computer Science at ETH Zürich.

Robert Bainesمشاهده پروفایل

استاد

• Robotics
• Soft Robotics
• Adaptive Morphogenetic Systems
• +۴ مورد دیگر

Dr. Robert Baines holds the Professorship for Robotic Systems at ETH Zürich, leading research in adaptive morphogenetic robots, soft robotics, and amphibious robotic systems. His work emphasizes material science integration, reconfigurable mechanisms, and environmental adaptability. Key research areas include morphing limb design, tensegrity robots, and reproducible soft robotics methodologies. His research focuses on developing robots capable of evolving on demand through modular architecture and self-reconfiguration, with applications in multi-environment navigation. He has pioneered studies on inflatable actuators, tensile jamming fibers, and bio-inspired designs for amphibious locomotion. Baines also advocates for standardized testing protocols in soft robotics to ensure reproducibility and cross-laboratory collaboration. Notable contributions include the RoboWrangler rope-based grasping system and the amphibious robotic turtle demonstrating aquatic-to-terrestrial transitions. His work bridges mechanical engineering, materials science, and artificial intelligence to create robust, context-aware robotic systems. Current projects explore variable stiffness mechanisms, multi-modal sensing, and energy-efficient morphing systems. Baines collaborates with industry partners to translate theoretical advancements into deployable robotic solutions for challenging environments.

Torsten Hoeflerمشاهده پروفایل

استاد

• High-Performance Computing
• Parallel Computing
• Computer Networks
• +۳ مورد دیگر

Prof. Torsten Hoefler is a Full Professor at the Department of Computer Science, ETH Zürich. His research focuses on High-Performance Computing (HPC), parallel systems, networking, and AI-infrastructure. He leads projects on scalable interconnects, network topology design, and cloud computing benchmarks like SeBS. His work bridges theoretical foundations with practical implementations in distributed systems. Research Interests : High-Performance Computing & Networking Parallel Algorithms & Architectures AI Infrastructure & Distributed Systems Chiplet Interconnects & Topology Optimization Key Contributions : Developed tools like ATLAHS (AI/HPC network simulation) Advanced RDMA-based communication protocols (SDR-RDMA) Benchmarks for serverless computing (SeBS-Flow) His recent articles (2025) emphasize adaptive networks, low-precision AI models, and energy-efficient HPC systems. He also explores ethical computing and sustainability in supercomputing through initiatives like Core Hours & Carbon Credits.

• Formal Methods
• Programming Languages
• Automated Reasoning
• +۳ مورد دیگر

Dr. Dominik Winterer is a Researcher at the Professorship for Computer Science at ETH Zürich. His work focuses on formal methods, automated reasoning, and programming languages, with a particular emphasis on SMT (Satisfiability Modulo Theories) solvers and planning algorithms. He has contributed to advancing the validation and correctness of SMT solvers through techniques like grammar-based enumeration and type-aware mutation testing. His research also explores oversubscription planning, top-k planning, and nondeterministic planning, addressing challenges in resource allocation and state space reduction. Winterer’s publications span topics from compiler optimization metrics to constraint-solving methodologies, reflecting his interdisciplinary approach to computational problem-solving.

• Environmental Science
• Computational Science
• Earth Observation
• +۳ مورد دیگر

Robin Zbinden is a Researcher at the École Polytechnique Fédérale de Lausanne (EPFL) , affiliated with the School of Architecture, Civil and Environmental Engineering (ENAC) . He is part of the Laboratoire de science computationnelle pour l'environnement et l'observation de la Terre (ECEO) , focusing on computational methods for environmental and Earth observation challenges. His work bridges machine learning, remote sensing, and ecological modeling to address climate-driven environmental questions. He is also a doctoral student in the Programme doctoral en informatique et communications at EPFL, specializing in data-driven approaches for species distribution and environmental systems. Research interests include species distribution modeling (SDM), multi-modal data fusion, and algorithmic solutions for imbalanced ecological datasets. His work emphasizes adaptive machine learning frameworks like MaskSDM , integrating climate, satellite, and field data to predict species responses to environmental changes. Applications span biodiversity conservation, climate impact assessments, and sustainable food systems. His lab’s computational methods prioritize explainability and scalability, addressing gaps in ecological modeling robustness and generalization. Notable contributions include foundational work on MaskSDM (2025), which enhances SDM flexibility through Shapley values, and studies on monarch butterfly migration under climate shifts. His 2024 research on pseudo-absence selection for deep learning models and 2023 exploration of neural networks in SDM highlight methodological innovations. Recent projects address food environment metrics via sales logs and carbon footprint perception studies (2019). Collaborations span environmental policy, geospatial analysis, and interdisciplinary sustainability challenges. Lab affiliations include the ECEO team at EPFL Valais Wallis, where he develops computational tools for environmental observation. His research narrative combines technical algorithm design with ecological applications, aiming to bridge data science and real-world conservation needs.

Flavio Nocaمشاهده پروفایل

پژوهشگر

• Fluid Mechanics
• Aerodynamics
• Drone Wind & Weather Facilities
• +۵ مورد دیگر

Overview Flavio Noca is a Researcher at the Laboratory of Fluid Mechanics and Instabilities (LFMI) and a Lecturer in Mechanical Engineering at EPFL's School of Engineering (STI). His work focuses on fluid dynamics, aerodynamics, and bio-inspired propulsion systems, with a strong emphasis on drone testing in adverse conditions through advanced wind tunnel facilities. Research & Expertise Fluid Mechanics: Aerodynamics, hydrodynamics, turbulence modeling Drone Technology: Design, testing, and wind/weather facility development Experimental Techniques: Multi-fan wind tunnels, flow control devices, pressure probe calibration Carbon Nanotubes: Applications in nanotechnology and flow diagnostics Affiliations He holds dual roles at EPFL: Scientist at LFMI (under the Institute of Microengineering, IGM) and Lecturer in the Mechanical Engineering department (STI-SGM/SGM-ENS). Teaching & Students Supervises PhD student Malicia Leipold. Teaches courses on compressible fluid dynamics and contributes to Mechanical Engineering curricula.

Blaise Mellyمشاهده پروفایل

استاد

• Econometrics
• Labor Economics
• Empirical Microeconomics
• +۴ مورد دیگر

Blaise Melly is a Professor of Econometrics and Head of the Department of Economics at the University of Bern. He also serves as an Associate Editor of the Journal of Business and Economic Statistics . His research focuses on econometric methods, labor economics, and empirical microeconomics, with a strong emphasis on quantile regression techniques and their applications in policy analysis. Key research interests include panel data analysis, counterfactual analysis, treatment effects, and wage gap studies. He has developed influential Stata modules (e.g., QRPROCESS) and contributed to software tools for quantile regression. His work addresses issues like public vs. private sector wage gaps, informal labor markets, and policy evaluation using advanced statistical methodologies. Melly’s articles span methodological advancements (e.g., fast algorithms for quantile processes) and applied analyses (e.g., gender wage gaps, public sector wage dynamics). He actively contributes to the academic community through editorial roles and software development.

• Computational Physics
• Quantum Many-Body Systems
• Machine Learning in Physics
• +۳ مورد دیگر

Dr. Jannes Nys is a researcher at the Professorship for Computational Physics at ETH Zürich. His work bridges computational physics and machine learning, focusing on quantum systems and many-body problems. Email: jannys@phys.ethz.ch Research Interests: His research spans computational physics, quantum many-body systems, and machine learning applications in physics. He develops neural network-based quantum states and symmetry-aware algorithms for simulating complex quantum phenomena. Quantum Many-Body Systems Neural Quantum States Ab-initio Simulations Quantum Chemistry Topological Entanglement High Energy Physics Recent Article Trends: His publications highlight the intersection of machine learning and quantum physics, including neural wavefunction optimization for non-Hermitian systems, symmetry-aware models for electron spectroscopy, and variational methods for real-time quantum dynamics. He also explores exotic hadrons in particle physics and novel quantum Monte Carlo approaches.