جست‌وجوی استاد و پژوهشگر

Wolfram Erdmannمشاهده پروفایل

پژوهشگر

• High Energy Physics
• Particle Physics
• Detector Technology

Dr. Wolfram Erdmann is a Researcher at the Paul Scherrer Institute (PSI) in Villigen, Switzerland, affiliated with the Laboratory for Particle Physics. His work focuses on advanced detector technologies for high-energy physics experiments, particularly within the CMS Collaboration at CERN's Large Hadron Collider (LHC). Research Interests: Dr. Erdmann specializes in particle physics instrumentation, with emphasis on silicon pixel detector development, radiation-hardened sensor design, and performance optimization for high-luminosity collider environments. His research spans detector upgrades, beam testing, and data analysis for heavy-flavor quark production. Publication Trends: Recent work (2010–2017) centers on CMS pixel detector upgrades for Phase I and II, radiation damage characterization, and test-beam validations. Earlier publications (2006–2009) detail foundational contributions to readout electronics, mechanical design, and qualification protocols for LHC experiments. Collaborations: Active member of the CMS and H1 Collaborations, contributing to technical design reports, hardware commissioning, and physics analyses.

Rizlan Bernier-Latmaniمشاهده پروفایل

استاد

• Geomicrobiology
• Environmental Microbiology
• Bioremediation
• +۳ مورد دیگر

Professor Rizlan Bernier-Latmani is a Full Professor at École Polytechnique Fédérale de Lausanne (EPFL) within the School of Architecture, Civil and Environmental Engineering, Department of Environmental Sciences and Engineering. She leads the Environmental Microbiology Laboratory (EML), focusing on geomicrobiology, bioremediation, and isotope geochemistry. Her research explores microbial processes in extreme environments, including radioactive waste repositories and contaminated aquifers. She holds academic roles in teaching and curriculum design, and serves on committees such as the Diversity Office at ENAC and the EPFL Academic Evaluation Committee. Her work integrates molecular biology, geochemistry, and field studies to address environmental challenges. Research interests emphasize microbial redox cycling, uranium transformation mechanisms, and environmental microbiology applications. She has supervised numerous doctoral theses, advancing understanding of microbial biogeochemistry and its impact on ecosystems. Her lab develops novel methods for microbial isolation and bioremediation strategies, with recent contributions to studies on clay barriers, radioactive waste management, and microbial interactions in subsurface environments. Publications highlight advancements in uranium oxide dynamics, microbial adaptation in confined spaces, and the role of microbial communities in geochemical cycling. Her interdisciplinary approach bridges fundamental science with practical solutions for environmental sustainability.

• Solar Energy Engineering
• Renewable Energy
• Thermochemical Processes
• +۴ مورد دیگر

Philipp Haueter is a Researcher at ETH Zürich's Institute for Energy and Process Engineering, within the Department of Mechanical and Process Engineering. He works as part of the Professorship for Solar Energy Engineering under the research group of Professor Aldo Steinfeld (emeritus), focusing on solar thermochemical processes for renewable fuel production. Dr. Haueter's research expertise spans multiple critical areas of solar energy conversion: Solar reactor design and optimization for high-temperature applications Thermochemical redox cycles for splitting H2O and CO2 Concentrated solar power systems and optical design Hydrogen production via steam-gasification of carbonaceous materials Solar-driven production of carbon-neutral aviation fuels High-temperature heat recovery techniques His recent work has been pivotal in advancing solar fuel technology from laboratory concepts toward industrial implementation. The 2022 Nature paper on 'Drop-in Fuels from Sunlight and Air' demonstrated the first complete production chain for carbon-neutral aviation fuels directly from atmospheric components using solar energy, while the Joule publication detailed a functional solar tower fuel plant for kerosene production. These contributions represent significant milestones in making solar fuels commercially viable. Dr. Haueter's research has been supported by major funding initiatives including European Commission projects (agreement numbers 832535, 654408, 320541) and Swiss National Science Foundation grants (162435), focusing on 'Towards Efficient Production of Sustainable Solar Fuels' and 'SUN-to-LIQUID' initiatives. His collaborative work extends to international partners in Spain and across ETH Zürich departments, demonstrating strong interdisciplinary research capabilities.

Tommaso Polonelliمشاهده پروفایل

مدرس

• Embedded systems
• IoT
• Wireless Sensor Networks
• +۷ مورد دیگر

Dr. Tommaso Polonelli is a Lecturer and Postdoctoral Researcher at ETH Zürich's Department of Information Technology and Electrical Engineering, affiliated with the Center for Project-Based Learning (PBL). He leads teaching initiatives and research in IoT systems, energy-efficient electronics, and autonomous technologies. His research focuses on energy-efficient systems, smart sensing, and ultra-low power computing, with applications in UAVs, wind turbine monitoring, and wearable devices. He also serves as a Scientific Advisor at RTDT Laboratories AG, an ETH spin-off. Polonelli holds a PhD (2020) and Master’s degree (2017) in Electronic Engineering from the University of Bologna. He has co-authored over 60 publications and received awards such as the Spark Award (2021), KITE Award finalist (2024), and the Certificate of Achievement for National Scientific Qualification (2023). He is an active IEEE member and contributes to both academia and industry through innovations in sensor technology and predictive maintenance. His work emphasizes interdisciplinary collaboration, with projects ranging from structural health monitoring to AI-enhanced systems. Recent efforts include Aerosense—a MEMS-based monitoring system for wind turbines—and ElectraSight, a smart eyewear platform with non-invasive eye tracking.

• Model Predictive Control
• Nonlinear Systems Control
• Robust Control
• +۳ مورد دیگر

Dr. Johannes Köhler is a Lecturer at the Department of Mechanical and Process Engineering at ETH Zürich, Switzerland. His research focuses on advanced control systems, particularly model predictive control (MPC), robust control of nonlinear systems, and data-driven control strategies. He holds a Master's degree in Engineering Cybernetics from the University of Stuttgart (2017) and a Ph.D. in Mechanical Engineering (2021), for which he received the 2021 European Systems & Control PhD Award. His work emphasizes safety, optimization, and adaptability in control systems, with applications ranging from autonomous navigation to energy-efficient building systems. Key academic achievements include the 2022 ETH Zurich Career Seed Award for his work on data-driven predictive control, and the 2020 Best Publication Award at the University of Stuttgart for applying MPC to combat the COVID-19 outbreak. He has authored over 60 peer-reviewed articles, with recent contributions in stochastic MPC, robust nonlinear control, and safety-aware exploration strategies. Education: Ph.D. in Mechanical Engineering, University of Stuttgart (2021) Master of Engineering Cybernetics, University of Stuttgart (2017) His research group at ETH Zürich develops algorithms for real-time control of complex systems, with a focus on embedded MPC for robotics and energy systems. Current projects include safe autonomous navigation, adaptive control under uncertainty, and data-driven methods for nonlinear systems.

• Bronchoscopic Robotics
• Geometric Computer Vision
• Surgical Workflow Prediction
• +۳ مورد دیگر

Dr. Francis Xiatian Zhang is a Research Fellow at the University of Edinburgh's Deanery of Clinical Sciences, developing visual navigation systems for bronchoscopic robotics. He completed his PhD in Computer Science at Durham University, focusing on geometric information integration in biomedical video analysis. Research spans bronchoscopic robotics vision, surgical workflow anticipation, and medical video analysis using geometric deep learning approaches. Recent work includes BREA-Depth for airway-geometric depth estimation in bronchoscopy. Articles demonstrate specialization in adapting computer vision techniques to medical contexts, particularly real-time applications in surgical environments. Key contributions include video inpainting methods and graph-based surgical workflow models. EPSRC Grant: U-care: Deep Ultraviolet Light Therapies (Research Associate) UK-Egypt TNE Grant: Course Development in Edge Computing (Research Assistant) Leads development of novel deep learning-based navigation for bronchoscopic robotics. Previously contributed to pose estimation for health professional education and edge computing curriculum development.

• Robotics
• Computer Graphics
• Control Systems
• +۳ مورد دیگر

Prof. Stelian Coros is an Associate Professor at the Department of Computer Science, ETH Zürich, and Head of the Institute for Intelligent Interactive Systems. His research focuses on robotics, computational design, and control systems, with applications in robotic manipulation, simulation, and autonomous systems. His work integrates principles from computer science, mechanical engineering, and artificial intelligence to advance the capabilities of robots in real-world environments.

Mohamed Abdalmoatyمشاهده پروفایل

پژوهشگر

• Data-Driven Modelling
• Control Systems
• Signal Processing
• +۵ مورد دیگر

Dr. Mohamed Abdalmoaty is a Researcher at ETH Zürich's Institut für Automatik, specializing in the Department of Automatic Control. His work focuses on Data-Driven Modelling and Control , with expertise in system identification, stochastic systems, and optimal control. He holds an affiliation within the Professorship for Complex Systems Control. His research interests emphasize data-driven approaches for predictive control, frequency-domain identification, and nonlinear dynamical systems. He has contributed to advancements in Kalman filter formulations, stochastic Wiener models, and cybersecurity in control systems, particularly in medical applications like the artificial pancreas. Abdalmoaty’s recent publications (2022–2024) highlight innovations in time-varying normalizing flows, privacy-preserving network control, and robust parameter estimation under uncertainty. His work bridges theoretical control systems with practical applications in machine learning and biomedical engineering. He has developed software tools for system identification and simulation, including implementations for frequency-domain analysis and nonparametric closed-loop identification. His research aligns with emerging trends in hybrid machine learning-control frameworks and resilient cyber-physical systems.

Georgios Samarasمشاهده پروفایل

پژوهشگر

• Biomechanics
• Food Science
• Mechanical Engineering
• +۳ مورد دیگر

Dr. Georgios Samaras is a Researcher at the Institute for Biomechanics, ETH Zürich. His work focuses on biomechanical systems, food science, and material characterization, with expertise in computational mechanics and rheology. He leads experimental and numerical studies on oral processing mechanics, aeration effects on food materials, and tribological interactions in biological systems. Research interests include fracture mechanics of aerated emulsions, thermal property modeling of micro-aerated materials, and simulation of oral breakdown processes. His work bridges mechanical engineering with food science, addressing material behavior under mechanical and thermal loads. Key contributions involve developing finite element models for predicting fragmentation during mastication and analyzing time-dependent mechanical properties of emulsions. His studies also extend to cardiovascular biomechanics, including aneurysm initiation in animal models. Labs/Teams: Core member of the Biomechanics Group at ETH Zürich's Institute for Biomechanics. Collaborates with food engineering and material science teams on interdisciplinary projects.

• Biomedical Electronics
• CMOS Sensor Systems
• Integrated Circuits
• +۳ مورد دیگر

Dr. Thomas Burger is a Lecturer at the Department of Information Technology and Electrical Engineering at ETH Zürich. His research focuses on advanced CMOS sensor systems, biomedical electronics, and wearable medical devices. Key areas include the development of high-resolution tactile sensors, energy-efficient wireless systems, and molecular diagnostics platforms. His work integrates cutting-edge semiconductor technologies with applications in healthcare monitoring and environmental sensing. Education: While specific academic qualifications are not detailed, his role as a lecturer at ETH Zürich implies a strong background in electrical engineering and integrated circuits, likely including a PhD in a related field. Research interests prominently feature: CMOS-based sensor arrays for gas detection and molecular analysis Low-power wireless communication systems (e.g., wake-up receivers) Biomedical instrumentation for MRI and wearable health monitoring Material science innovations for antifouling and flexible electronics Publications span 2025 to 1995, emphasizing interdisciplinary advancements in sensor technology and medical electronics. His work bridges microelectronics design with real-world applications in healthcare, environmental monitoring, and robotics.

Liyang Chenمشاهده پروفایل

پژوهشگر

• X-ray Imaging
• Nanopatterning
• Materials Science
• +۳ مورد دیگر

Dr. Liyang Chen is a Researcher at ETH Zürich's Department of Information Technology and Electrical Engineering, affiliated with the Professorship for X-ray Imaging. His research focuses on advanced materials science, nanotechnology, and optoelectronics, with emphasis on X-ray imaging components, metallic micro-nano networks, and nanostructured materials. Key areas include nanopatterning techniques, strain engineering of 2D materials, and transparent electrode development. His work integrates fabrication methods like interference lithography and nanoimprint processes to advance optoelectronic and energy-related applications. Publications highlight contributions to metallic surface micropatterning, perovskite-based devices, and fog-harvesting materials. Chen’s interdisciplinary approach bridges materials synthesis, manufacturing processes, and device applications. His lab focuses on high-precision nanostructuring for next-generation optical and electronic systems, leveraging curved substrate technologies and hybrid modeling approaches.

• Control Systems
• Data-Driven Control
• Optimization Algorithms
• +۳ مورد دیگر

Jaap Eising is a Lecturer at the Department of Information Technology and Electrical Engineering at ETH Zürich. His research focuses on control systems, data-driven control methodologies, optimization algorithms, and system identification. He explores topics such as affine time-invariant systems, robust control of linear systems, and adaptive control strategies for uncertain systems. His work emphasizes theoretical foundations and practical applications in control theory, leveraging data-driven approaches to enhance system analysis and stabilization. Recent publications highlight advancements in data-driven techniques for mode detection, parameter variation decoupling, and cautious optimization under noisy data. His research also addresses challenges in online adaptive control and stabilization of switched systems. Key themes include informativity frameworks, quadratic matrix inequalities, and the integration of statistical modeling with control theory. No scientific awards or grants are explicitly mentioned in the provided texts. His academic contributions are centered on advancing control systems through rigorous mathematical analysis and innovative algorithmic designs.

• Biopolymers
• Food Science
• Materials Science
• +۳ مورد دیگر

Dr. Shrestha Roy Goswami is a Researcher at the Laboratory of Food & Soft Materials, part of the Institute of Food, Nutrition and Health at ETH Zürich. Her work focuses on developing sustainable, bio-based materials and advanced polymers for food packaging and industrial applications. She specializes in starch modification, ionic liquid-mediated chemistry, and nanomaterial synthesis. Her research interests span biodegradable polymers, amyloid fibril formation, and the valorization of agricultural byproducts (e.g., tofu wastewater). She explores innovative methods to enhance material toughness, biodegradability, and functional properties using eco-friendly approaches. Notable projects include starch-based bioplastics reinforced with soy amyloids and shape-memory polyurethanes from abietic acid. Publications highlight trends in starch-derived materials, ionic liquid applications, and nanotechnology for biomedical and food industry uses. Her work bridges fundamental chemistry with practical sustainability solutions. No scientific awards or grants are explicitly mentioned in the provided text. She advises no students in listed publications.

Marcia Bodenmannمشاهده پروفایل

پژوهشگر

• Nonlinear Dynamics
• Applied Mathematics
• Theoretical Physics
• +۳ مورد دیگر

Marcia Bodenmann is affiliated with ETH Zürich as staff of the Professorship for Nonlinear Dynamics, located at LEE M 209, Leonhardstrasse 21, 8092 Zürich, Switzerland. She can be contacted at mbodenmann@ethz.ch . Her research focuses on nonlinear dynamics, exploring theoretical and applied aspects of complex systems and dynamical processes. Her academic work aligns with the interdisciplinary study of nonlinear phenomena, leveraging mathematical modeling and computational methods to analyze systems in physics, engineering, and related fields. Current research interests emphasize the theoretical foundations of nonlinear systems and their practical implications in real-world applications. No scientific awards or grants are explicitly listed in the provided materials. Advising records and lab affiliations are not detailed beyond her role in the Nonlinear Dynamics professorship.

Luciana Borsatti Meyerمشاهده پروفایل

پژوهشگر

• Autonomous Systems
• Robotics
• Intelligent Systems
• +۳ مورد دیگر

Luciana Borsatti Meyer is affiliated with ETH Zürich as part of the Professorship for Autonomous Systems within the Institute of Robotics and Intelligent Systems (IRS) , located in Zürich, Switzerland. Her work focuses on advancing autonomous systems and robotics, contributing to the department's research in intelligent and automated technologies.