Department of Information Technology and Electrical Engineering| Acronym | D-ITET | | Homepage | http://www.ee.ethz.ch/ | | Country | Switzerland | | ZIP, City | | | Address | | | Phone | | | Type | Academy | | Parent organization | ETH Zurich | | Current organization | Department of Information Technology and Electrical Engineering | | Child organizations | |
Open OpportunitiesThe objective of this project is to develop an atomic beam by ultrasonic expansion and to align it with a levitated nanoparticle in ultrahigh vacuum. - Electrical and Electronic Engineering, Optical Physics
- Master Thesis
| In this semester project you will learn many state-of-the-art nano-fabrication techniques, such as mechanical exfoliation, van der Waals heterostructure assembly, glovebox, AFM, optical lithography, etc. - Electrical and Electronic Engineering, Optical Physics
- Semester Project
| Glioblastoma, the most aggressive brain tumour in adults, interacts with the surrounding healthy brain to promote further cancer growth. However, it is challenging to study these interactions directly in the human brain. In response, we are developing a platform that allows us to study this phenomenon in more detail, with a particular focus on unravelling how cancer alters the electrical activity of brain cells. - Central Nervous System, Clinical Pharmacology and Therapeutics, Electrical Engineering, Oncology and Carcinogenesis
- Internship, Master Thesis, Semester Project
| The aim of this project is to develop an approach based on physics-based graph neural networks to generate digital twins from PC-MRI data. - Artificial Intelligence and Signal and Image Processing, Biomedical Engineering, Fluidization and Fluid Mechanics, Turbulent Flows
- Master Thesis
| Robotic automation represents mankind’s next leap. While the industry has already embraced robotization, robot driven domestic aid is only at the beginning of the revolution. Dealing with unconstrained daily environments is more challenging than automating manufacturing production lines. The growing diffusion of semi-autonomous assistive quadrupedal robots that can handle obstacles triggered the change. Nonetheless, robot control still requires active human supervision, which can be tedious in ordinary surroundings or even impossible in clinical circumstances. - Electrical Engineering
- Computer Vision (PBL), Master Thesis, Robotics (PBL), Software (PBL)
| Evaluation of different inverter topologies and different modulation schemes using a multi-objective optimization procedure for a given target drive system. Optimization with respect to different objectives, e.g., efficiency, power density, costs. An existing toolchain provides a framework which can serve as a starting basis for your models and optimization algorithms. Analysis and validation of the design based on vehicle drive cycles. - Electrical Engineering
- Master Thesis
| In this project, we will work on proposing accurate and efficient PTQ algorithms for the SAM family. - Artificial Intelligence and Signal and Image Processing
- Master Thesis, Semester Project
| In this project, we aim to develop novel and efficient model compression algorithms to enable the deployment and inference of large language models on resource-constrained hardware. - Artificial Intelligence and Signal and Image Processing
- Master Thesis, Semester Project
| Hand Gesture Recognition has gained significant attention in recent years due to its potential applications in various fields, including interaction with virtual environments (like the Metaverse), teleoperation, and prosthetic device control. Multiple sensing techniques can be employed for hand movement recognition, including vision-based sensors (cameras), mechanical sensors (e.g., IMUs), sEMG, and the more recent and increasingly popular Ultrasound (US). US enables high-spatial (submillimeter) and temporal (fraction of a millisecond) resolution imaging of deep musculoskeletal structures. While several studies [1], [2], [3] have used US for hand gesture recognition, challenges remain in ensuring robustness against factors like sensor shift, donning and doffing, varying muscle force, and interday use [4].
- Biomedical Engineering, Electrical and Electronic Engineering, Information, Computing and Communication Sciences
- Bachelor Thesis, Master Thesis, Semester Project
| Dynamic Population Games (DPGs) are an important class of games that models many real-world problems, including energy systems, epidemics, and the recently proposed “karma economies” for fair resource allocation. A DPG consists of a large population of self-interested agents each solving an individual Markov Decision Process (MDP). The MDP of each agent is coupled to the actions of others and is hence parametrized by the policies adopted in the population. Computing the Nash equilibrium of a DPG is challenging as it involves iteratively solving MDPs many times. This suffers from the well-known curse of dimensionality which severely limits the size of the state and action spaces that are computationally tractable.
Madupite is a novel distributed high-performance solver for large-scale infinite horizon discounted MDPs, which leverages PETSc to implement inexact policy iteration methods in a distributed fashion. Despite its software complexity, Madupite comes with a very intuitive Python interface and a detailed documentation, that allow any Python user to easily deploy it to efficiently simulate and solve large-scale MDPs in a fully distributed fashion. Preliminary benchmarks have showcased the great potential of Madupite, which is capable of efficiently handling MDPs with millions of states.
Motivated by the recent development of Madupite, this project aims at developing fast computation tools that are capable of solving large-scale DPGs. - Computer Software, Engineering and Technology
- Bachelor Thesis, Semester Project
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