Recent Submissions 

  1. Effektiv dichter! Aber wie? 

    Caluori, Iva (2024)
    This thesis examines the development of housing space consumption per capita in the city of Chur from 2014 - 2022 and illustrates the role of municipal spatial planning in reducing this consumption. Given the ongoing expansion of urban areas, it is crucial to address urban sprawl through effective legal frameworks such as the prioritization of internal development in Switzerland. The question of how the consumption of housing space per ...
    Master Thesis
  2. Sparse Depth Meets Monocular Depth Estimation: A Guided Diffusion Framework for Zero-Shot Depth Completion 

    Viola, Massimiliano (2024)
    Depth completion involves predicting a dense depth map from sparse depth measurements and a synchronized RGB image. Traditional deep learning-based methods solving this task often lack flexibility and struggle with generalization, especially in zero-shot settings under a different data distribution from training. Meanwhile, diffusion models, originally introduced for image generation, are trained on large-scale datasets and have shown ...
    Master Thesis
  3. Richtfunkantennen: Wahrzeichen oder Störfaktor? 

    Dettwiler, Nina (2023)
    Richtfunkantennen sind grosse Infrastrukturen, die die Schweizer Landschaften prägen. Aufgrund des technologischen Wandels ist ihre Funktion allerdings in Frage gestellt, wodurch ihre Rolle für das Landschaftsbild unklar ist. Sind sie Wahrzeichen oder Störfaktoren? Dieser Frage geht die vorliegende Masterarbeit anhand einer Analyse von zwei Fallstudien, den Richtfunkantennen Chasseral (BE) und Feschel (VS), nach. Die Arbeit bettet sich ...
    Master Thesis
  4. Neural Network-Based Modelling of the Thermal Dynamics for SBB Trains and their HVAC Systems 

    Parravicini, Diego (2024)
    Over the course of the last year, the Swiss Federal Railways displayed an annual energy consumption of 2300 Gigawatt-hours, with this number, as it stands, destined to grow since the increasing demand for public transportation in Switzerland. Between 15 to 20% of the power demand of the SBB fleet trains is due to Heating, Ventilation and Air Conditioning systems which is responsible for the well-being and comfort of the passengers and ...
    Master Thesis
  5. Learning-Based Model Predictive Control 

    Ho, Kin Wa (2024)
    In this thesis, we investigate the convergence behavior of the dual adaptive model predictive controller (MPC). The dual adaptive MPC is a compelling area of research due to its ability to actively explore unknown parameters within the system. The current convergence result using Lyapunov stability analysis depends on two practical challenges: the difference between the current and the previous estimated parameter and the covariance matrix ...
    Master Thesis
  6. Data preconditioning for data-driven predictive control in urban traffic control 

    Brigger, Philippe (2024)
    Traffic congestion in urban areas presents a significant challenge, often without the possibility of expanding road infrastructure. To address this, we employ Data-EnablEd Predictive Control (DeePC) to dynamically adjust the green-red cycles of traffic lights based on current traffic conditions. Given the nonlinear nature of urban traffic networks, we propose modeling them as Linear Parameter-Varying (LPV) systems. Our research demonstrates ...
    Master Thesis
  7. Best Intervention for Recommender Systems 

    Kühne, Marino (2024)
    Social media companies deploy algorithms to deliver targeted content to their users, but these algorithms are often criticized for spreading fake news and increasing polarization. To address these issues, the literature attempts to minimize polarization-related metrics, but the complex nature of these tasks often requires problem-specific hand-tailored algorithms and heuristics. We introduce a novel gradient-based approach to solve a broad ...
    Master Thesis
  8. Search for Dark Photons Decaying to a Pair of Muons at the CMS Detector 

    Mori, Ludovico (2024)
    We present the preliminary results of a search for prompt dimuon resonances using fully reconstructed data collected in proton-proton collisions at √s =13.6 GeV by the Compact Muon Solenoid (CMS) in 2022 and 2023, with an integrated luminosity of 62.4fb−1. The search exploits a new low-mass dimuon trigger part of the B-parking program, and probes the mass ranges 2–2.6 GeV and 4.2–8 GeV, in order to avoid other known hadronic resonances. ...
    Master Thesis
  9. Analyzing the errors in CODE rapid orbit products of GNSS satellites using deep learning 

    Vijayaratnam, Thajeev (2024)
    Global Navigation Satellite Systems (GNSS) are vital for the engineering and scientific community. Accurate GNSS orbits are crucial for many real-time and near real-time positioning and navigation applications as well as for the expansion of early warning systems (Li et al., 2018, 2022, 2024; Shi et al., 2017). Different types of orbit products with varying levels of accuracy and availability are provided by the Center of Orbit Determination ...
    Master Thesis
  10. Wachstum und Strukturwandel in der Schweizer Landwirtschaft - Eine Analyse historischer Wachstumstreiber und aktueller Agrarsubventionen 

    Christl, Celine (2024)
    Die ökologischen, ökonomischen und sozialen Probleme der Schweizer Landwirtschaft sind eng mit historischen, politischen und wirtschaftlichen Rahmenbedingungen verknüpft. Ziel dieser Masterarbeit ist es, historisch entwickelte Wachstumstreiber und -dynamiken von Mitte des 20. bis Anfang des 21. Jahrhunderts sowie den Einfluss gegenwärtiger Agrarsubventionen auf das Wachstum in der Landwirtschaft zu analysieren. Dies erfolgte mittels einer ...
    Master Thesis
  11. Plug and Play Distributed Control of Energy Hub Clusters 

    Koepele, Cara (2024)
    Consumers in the modern energy network are becoming multi-energy systems by adopting generation and storage technologies. These devices operate together as an energy hub to optimally dispatch energy resources and efficiently meet time-varying demands. Peer-to-peer trading between energy hubs increases the efficiency of the network and reduces costs. Trades must be fair to the hubs involved and are computed in a distributed manner in order ...
    Master Thesis
  12. Why We Should Prioritize Extensions and Non-conventional Renovations over Replacement Constructions 

    Büttiker, Dominic (2024)
    Renovating the existing building stock is crucial to mitigate its environmental impact. At the same time, Switzerland faces the target of urban densification, and additional housing needs to be built within the existing urban areas to absorb population growth. To date, urban densification is predominantly realized through replacement constructions. Whether this approach complies with emissions mitigation targets is currently unknown. This ...
    Master Thesis
  13. Landslide Analysis in the Askja Caldera, Iceland 

    Leva, Patricia (2024)
    Master Thesis
  14. Moisture Sources and Vorticity Structure of Hailstorms over Switzerland in a Kilometer-Scale Convection-Permitting Model 

    Yeung, Kam Lam (2024)
    Hail is the costliest phenomenon brought by convective storms in the mid-latitudes. A severe hail event on 28 June 2021 caused 400 million CHF worth of damages to buildings in Switzerland. Hailstorms have a small spatial scale, short lead time, and transient lifetime. Forecasting hailstorms becomes a challenge and timely preventive measures are often not implemented. To understand the development of the hailstorm environment, a case ...
    Master Thesis
  15. Outlier detection in digital PCR wastewater time series data 

    McLeod, Rachel E. (2024)
    Efforts to control the spread of disease in a population require data collection on its prevalence over time. Analysing this data can give insights into how disease spreads and provide feedback on the effectiveness of intervention methods. Wastewater-based epidemiology (WBE) involves sampling wastewater from a treatment plant to collect data on disease prevalence in the population served by a particular sewage catchment. This data can be ...
    Master Thesis
  16. Understanding GPU Architecture Implications on LLM Serving Workloads 

    Zhang, Zijian (2024)
    Large Language Models (LLM) has become a promising piece of new technology. However, the power of LLMs can only be unleashed with a lot of computation. In this work, we firstly investigate the computational characteristics of LLMs. We study the behaviors of the underlying neural network architecture during both training and inference. We perform both theoretical analysis and comprehensive benchmarks to identify the importance of self ...
    Master Thesis
  17. Data-Story: A Data Authoring Tool for Learning Data Literacy 

    Schmit, Catherine (2024)
    In today’s data-driven world, data literacy is increasingly important, yet many tools for learning data analysis require programming skills, creating barriers for people without a technical background. To address this, we introduce Data Story, a web application that enables users to navigate the entire data science workflow, from data processing to analysis to storytelling, without the need for programming knowledge. Data Story integrates ...
    Master Thesis
  18. A multigrid preconditioned solver for high-order immersed interface discretizations of elliptic problems on complex domains 

    Paris, Andrea (2024)
    This work presents a novel multigrid preconditioned high order immersed finite difference solver to accurately and efficiently solve elliptical problems on complex 3D domains discretized using multiresolution grids. The solver employs a low-order Shortley-Weller multigrid method to precondition a high-order matrix-free Krylov subspace solver. The matrix-free approach was developed to fully support high-order IIM discretizations, allowing ...
    Master Thesis
  19. Metallic Fuel Behaviour Modeling for the European Sodium Fast Reactor 

    Timpano, Daniele (2024)
    The European Sodium Fast Reactor - Safety by Innovative Monitoring, Power Level flexibility and Experimental research (ESFR-SIMPLE) project was initiated in 2022 and includes the assessment of a Metallic-fueled European Sodium Fast Reactor (ESFR-M). Argonne National Laboratory (ANL) has been partnering with the ESFR-SIMPLE project to share its expertise on metallic fueled SFR designs and support some of its analysis. The Master Thesis ...
    Master Thesis
  20. Multi-Task Compound Activity Modeling with High Content Imaging 

    Cheng, Hsiu-Chi (2024)
    Master Thesis

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