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This project explores the integration of haptic feedback mechanisms into robotic microsurgery, focusing on neurosurgical applications. The aim is to enhance the surgeon’s ability to perceive tool-tissue interaction through telemanipulated systems. The work includes analyzing current sensing technologies, developing a hybrid hardware-software interface for haptic interaction, and evaluating the impact of tactile feedback on surgical performance in delicate environments. - Biomechanical Engineering, CAD/CAM Systems, Mechanical Engineering, Robotics and Mechatronics
- Master Thesis, Semester Project
| This thesis aims to bridge the gap between human decision-making under uncertainty and artificial intelligence. Building upon recent neuroimaging research from our group on how the human brain processes probability and uncertainty of motivational events, this project will investigate whether meta-reinforcement learning (meta-RL) models can accurately replicate these complex neural computations and match human performance on a specific Pavlovian task. Ultimately, the goal is to understand the similarities and differences in how AI and biological intelligence handle learning and decision-making in uncertain environments. - Computer Perception, Memory and Attention, Neurocognitive Patterns and Neural Networks, Neurosciences, Simulation and Modelling
- Master Thesis
| The goal of the project is to develop wearable devices, for use in environmental electromagnetic energy recovery based on human body application. - Biomedical Engineering, Electrical and Electronic Engineering, Materials Engineering
- Bachelor Thesis, Master Thesis, Semester Project
| Check-dam sequences are built in rivers to stabilize the river bed during flood events. They are often accompanied by heavy bank protection, which is very costly and leads to poor habitat conditions. Can the bank protection be omitted to a certain degree? This thesis will investigate bank erosion processes between check-dam sequences in a physical scale model. - Environmental Engineering Design, Water and Sanitary Engineering
- Master Thesis
| Many industrial assembly tasks require high accuracy when manipulating parts, e.g., when inserting an object somewhere, such as a box that we would like to put in a bin. Here, the tolerances that are required can vary wildly.
While industrial manipulators are generally accurate in a controlled setting, as soon as the environment is not as structured as we would like it to be, we need to leverage feedback policies to correct for inaccuraies in estimation, and unexpected/unmodeled effects.
The setting we are interested in in this work is robotic bin packing, i.e., enabling a robot to pick objects (initially boxes/parcels), and (the focus of this work) placing them in a box, where other previously placed object possibly obstruct the placement. - Robotics and Mechatronics
- Master Thesis
| In this project, you are going to work with a state-of-the-art deep learning approach and generative models for building an efficient system to directly reconstruct a 3D animatable avatar from a single image.
Feel free to contact me for more details.
- Information, Computing and Communication Sciences
- ETH Zurich (ETHZ), IDEA League Student Grant (IDL), Master Thesis, Semester Project
| The remarkable complexity of morphogenesis and tissue regeneration implies the existence of a transcellular communication network in which individual cells sense the environment and coordinate their biological activity in time and space. To understand the fascinating ability of tissue self-organization, comprehensive study of biophysical properties (cellular nanomechanics such as tension forces and bioelectromagnetics) in combination with the analysis of biochemical networks (signaling pathways and genetic circuits) is required.
In this framework we are investigating the unacknowledged key role of Desmoglein 3 (Dsg3) as a receptor involved in mechanosensing, capable of initiating a signaling response in the transcellular communication network, which results in stem cell fate conversion, plasticity and tissue repair.
Our goal is to apply innovative Fluidic Force Microscopy to measure altered biophysical parameters upon disruption of Dsg3 transadhesion such as cell stiffness, cell-cell adhesion, cell surface charges and electric potentials. Together with the University of Bern and University of Lübeck we are further investigating how these biophysical changes relate to transcriptomic, epigenomic and proteomic response circuits to ultimately infer biophysical and biochemical circuits involved in Dsg3 signaling.
- Biochemistry and Cell Biology, Biomedical Engineering, Medical and Health Sciences, Physics
- Bachelor Thesis, ETH Zurich (ETHZ), Master Thesis, Semester Project
| The goal of the project is to synthesize and characterize a number of small molecules capable of acting as mechanophore addition to various polymers. These polymers would then be used as wearable strain or pressure sensors. - Chemical Engineering, Chemistry, Composite Materials
- Master Thesis
| The key energy substrates of the brain are glucose and oxygen. Both are delivered to the brain via an intricate
network of blood vessels. Recently, novel datasets resolving the entire vasculature of the mouse brain became
available, which offer unique opportunities to study the brain’s energy supply. This requires developing and
applying novel numerical methods to simulate blood flow and nutrient transport in large microvascular networks
and the surrounding tissue. Besides looking at the healthy brain we are interested in pathologies like stroke and
Alzheimer’s disease. - Biomedical Engineering, Mechanical Engineering
- Internship, Master Thesis, Semester Project, Student Assistant / HiWi
| The goal of the project is to develop a cheap and disposable sensor capable of determination of iodine levels in human urine for early diagnostic purposes. - Chemistry, Engineering and Technology, Medical and Health Sciences
- Master Thesis
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