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Scanning ion conductance microscopy (SICM) is the non-contact SPM technology to image live cells based on glass capillaries with a nanometric aperture. It applies a voltage and measures the ionic current flowing through the pipette above the sample in the buffer solution: the recorded current represents the feedback signal to measure the topography of the sample. This project aims to characterize a state of the art high-speed SICM to enable time-resolved live cell imaging, and do the live cell imaging on human primary keratinocytes to study the related disease. - Biomedical Engineering, Electrical and Electronic Engineering, Information, Computing and Communication Sciences, Manufacturing Engineering, Mechanical Engineering, Nanotechnology
- Master Thesis
| Join our research project focused on analysing complex neurophysiological data collected during non-invasive brain stimulation experiments. This project aims to optimise brain stimulation protocols for future stroke rehabilitation by investigating neural responses to various stimulation parameters. The data includes electrocardiogram (ECG), electroencephalogram (EEG), photoplethysmography (PPG), inertial measurement unit (IMU) readings, pupilometry, and galvanic skin response (GSR). We aim to model brain states based on these measurements to define brain circuitry outcomes from stimulation and movement interactions, using advanced techniques like connectivity-based biomarkers. This modeling will help generalise findings to broader brain states, such as valence, attention, and stress. - Applied Statistics, Biological Mathematics, Neurosciences, Simulation and Modelling
- Master Thesis
| Most control methods operate under the assumption of a known model. However, in practice, knowing the exact dynamics model a priori is unrealistic. A common approach is to model the unknown dynamics using Gaussian Processes (GPs) which can characterize uncertainty and formulate a Model Predictive Control (MPC) type problem. However, it is difficult to exactly utilize this uncertainty characterization in predictive control.
In a recent approach [1], we proposed a sampling-based robust GP-MPC formulation for accurate uncertainty propagation by sampling continuous functions. In contrast, in the proposed project, you will implement an approximation method for sampling continuous functions using a finite number of basis functions [2] and solve the MPC problem jointly with the sampled dynamics. You will analyze the trade-offs between performance, approximation accuracy, and computational cost for this method. - Engineering and Technology
- Master Thesis, Semester Project
| Spores, resilient dormant cells with size and shape akin to colloidal particles, hold promise as unique natural particles. Their ability to endure harsh environments offering exceptional tolerance for various manufacturing processes. Compared to traditional colloidal particles, spores can become active cells in favorable conditions, introducing dynamism to the system. While bacterial spores have found applications in biotechnology, their potential in constructing living materials has only been explored through embedding spores as additives—not as foundational building blocks. We aim to fill this gap by investigating the feasibility of harnessing Bacillus subtilis spores as building blocks for living materials. A key question is whether bacterial spores can be treated as traditional passive particles, and to what extent.
Our research focuses on understanding the colloidal behaviour of bacterial spores through diverse characterization techniques. - Biomaterials, Interdisciplinary Engineering, Materials Engineering
- Internship, Master Thesis, Semester Project, Summer School
| Our research group aims to enhance the understanding of human language acquisition and development using songbird as model.
We are particularly interested in the evolutionary aspects of language, where two developmental tendencies are observed: convergent and divergent evolution. Convergent evolution refers to the simplification of language complexity, similar to how infants gradually acquire human language. Conversely, divergent evolution involves an increase in complexity, akin to teenagers creating and using novel words to establish unique identities. We propose to investigate whether similar effects are observable in animal vocalization learning, specifically in song learning of zebra finches and to explore the effect of social interaction.
To facilitate this investigation, our team has developed a "birdpark," a multimodal recording system that provides a naturalistic social environment for observing and recording multiple zebra finches within a dynamic group context.
- Learning, Memory, Cognition and Language, Linguistic Processes (incl. Speech Production and Comprehension), Sensory Systems, Signal Processing, Zoology
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| Jellyfish-inspired robots have gained significant attention in soft robotics and biomimetic engineering due to their energy efficiency, silent propulsion, and adaptability to aquatic environments. The AI-powered Jellyfish robots offer a promising avenue for developing next-generation robotic systems with applications in biomedical research, environmental monitoring, and marine life interaction. - Engineering and Technology
- ETH Zurich (ETHZ), Master Thesis
| Ultrasound-based transcranial therapy is emerging as a non-invasive and highly precise technique for treating neurological disorders, enhancing drug delivery, and promoting brain stimulation. By leveraging an advanced ultrasound transducer array embedded in a wearable helmet, this project aims to develop a novel system for targeted, real-time brain therapy - Engineering and Technology, Medical and Health Sciences
- ETH Zurich (ETHZ), Master Thesis
| Understanding the relationship between sleep patterns and health is crucial for developing personalized interventions. This thesis aims to analyze sleep trajectories using heart rate variability (HRV) data collected from WHOOP wearable sensors. By applying advanced machine learning techniques, the study will identify distinct daily and weekly HRV sleep profiles and assess their correlation with self-reported mental and general health outcomes. The findings will contribute to the development of digital biomarkers for continuous health monitoring and precision medicine. - Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences
- Bachelor Thesis, Master Thesis, Semester Project
| Introduction and Background
Skin cells dynamically respond to mechanical and biochemical stimuli, which influence critical processes such as proliferation, differentiation, and migration. Mechanobiology, the study of these responses, requires advanced in vitro systems to emulate physiological conditions. This project utilizes a device designed for controlled manipulation of hydrostatic pressure (0.1–1.5 kPa) and substrate stiffness (0.1–100 kPa). The system facilitates isolated and scalable experiments to analyze how the interplay of these mechanical parameters affects cell behavior. - Biomaterials, Biomechanical Engineering, Engineering/Technology Instrumentation, Polymers, Software Engineering
- Bachelor Thesis, ETH Zurich (ETHZ), Master Thesis
| This project focuses on enhancing SLAM (Simultaneous Localization and Mapping) in operating rooms using event cameras, which outperform traditional cameras in dynamic range, motion blur, and temporal resolution. By leveraging these capabilities, the project aims to develop a robust, real-time SLAM system tailored for surgical environments, addressing challenges like high-intensity lighting and head movement-induced motion blur. - Engineering and Technology, Information, Computing and Communication Sciences
- Master Thesis, Semester Project
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