Recent Submissions 

  1. Learning Depth from Images 

    Liu, Ce (2024)
    Doctoral Thesis
  2. Stress-regulated miR-708-5p affects recognition memory and manic-like behavior through Neuronatin downregulation 

    Gilardi, Carlotta (2024)
    Mood disorders are a group of psychiatric illnesses that impact mood and cognition and are leading causes of disability and mortality. This category encompasses primarily Major Depressive Disorder (MDD) and Bipolar Disorder (BD). MDD involves prolonged depressive episodes, while BD is characterized by fluctuating mood states, ranging from depressive episodes to (hypo)manic phases. Mood disorders are highly heritable disorders, but their ...
    Doctoral Thesis
  3. Optimization of shared on-demand transportation 

    Ghandeharioun, Zahra (2024)
    Nations worldwide are experiencing significant urban growth, with over half of the global population currently residing in cities. This urbanization has increased urban commuting, leading to issues like congestion, air and noise pollution, and threats to public health. Recent years have witnessed a transformation in transportation driven by information technology, introducing innovative mobility solutions to tackle urban mobility challenges. ...
    Doctoral Thesis
  4. Improving On-Line Breath Analysis with Ambient Mass Spectrometry 

    Wüthrich, Cedric (2024)
    Doctoral Thesis
  5. Learning-Based Excavator Automation 

    Egli, Pascal (2024)
    This dissertation addresses the automation of hydraulic excavators, specifically, the modeling and controlling of the highly nonlinear machine dynamics and the interaction with the soil during excavation operations. Despite continuing efforts by the research community over the past decades, the automation of heavy-duty equipment is only slowly transitioning into real-world applications. The goal of this thesis is to accelerate this process ...
    Doctoral Thesis
  6. Adapting database components to heterogeneous environments 

    Koutsoukos, Dimitrios (2024)
    Doctoral Thesis
  7. Liquid Borne Phase Change Nanomaterials and Memory Devices 

    Venkatesababu Savitha, Dhananjeya (2024)
    Doctoral Thesis
  8. Attosecond Transient Absorption Spectroscopy of Transition Metals 

    de Vos, Erik W. (2024)
    The discovery of high-harmonic generation and the subsequent application of this technique to generate attosecond pulse trains and single attosecond pulses has allowed for the study of matter on attosecond timescales. After the establishment of the field of attosecond science, a lot of resources were dedicated to the study of electronic motion on its natural timescale in atomic and molecular systems. The study of attosecond dynamics in ...
    Doctoral Thesis
  9. Cryptanalysis by Algebraic Relations 

    Ünal, Akin (2024)
    Algebraic relations are a high-degree generalization of linear relationships. Given an algebraic relation it is possible to predict the outcome of single components of a polynomial equation system or refute points that do not lie in the image of a polynomial map. This work investigates the application of algebraic relations to cryptanalysis, presenting novel insights and algorithms. As a first result, we will show a simple theorem that ...
    Doctoral Thesis
  10. Economic potentials and limitations of tree-species diversification as an adaptation strategy to climate change and extreme weather events 

    Fuchs, Jasper M. (2024)
    Increasing biophysical disturbances under climate change have severe impacts on forest ecosystems. Recent large-scale calamities in Central Europe have underlined how extreme weather events challenge our understanding of mechanisms behind forest resistance to disturbances. Large, spatially correlated disturbances also lead to high economic losses for forest enterprises, resulting in a lack of resources for financing reforestation and ...
    Doctoral Thesis
  11. Multi-Resolution for Efficient, Scalable and Accurate Volumetric Mapping and Planning in Robotics 

    Reijgwart, Victor Johan Freerk (2024)
    As robots evolve beyond industrial settings to address broader challenges, such as autonomous inspection, home assistance, and search and rescue, there is a growing demand for them to autonomously navigate and perform meaningful tasks in increasingly large, unstructured, and unknown environments. Despite improvements in hardware, sensing, and computational technologies enabling greater robot agility and perception, a significant bottleneck ...
    Doctoral Thesis
  12. Study of Non-Covalent Interactions in Onium Ions 

    Savoy, Adélaïde Marie Léa (2024)
    Non-covalent interactions are a key factor in the stabilization of a structure or conformer. Even if they have been discovered and studied for decades, there are still gaps in the theoretical and experimental studies of these forces. A better understanding should, ultimately, translate into more accurate predictions of structures and processes, such as reactions. In an effort to consolidate the current knowledge, this thesis reports ...
    Doctoral Thesis
  13. A silicon nitride based synthetic metamaterial 

    Engeler, Pascal (2024)
    The recent transfer of topological states from the quantum realm to clas- sical physics has sparked ideas for new approaches in designer materials. These unusually robust configurations were no longer out of reach for classical material design. However, while it is relatively easy to identify a topological state when it appears, the inverse statement is not true. It is hard to find a material structure that will host a specific topological ...
    Doctoral Thesis
  14. Scientific Approaches to Collective Decision-Making in the Digital Era 

    Niederberger, Sebastian (2024)
    Doctoral Thesis
  15. Precision genome editing screens to study genetic variants of uncertain significance 

    Belli, Olivier (2024)
    Genetic tests play an increasingly pivotal role in predicting disease risks, prognosis and treatment response in the clinics. However, their interpretation is hindered by the prevalence of variants of uncertain significance (VUS) whose phenotypic effects remain elusive. Addressing this issue, multiplexed assays of variant effect (MAVEs) have been developed that enable the interrogation of protein functions and the assessment of variant ...
    Doctoral Thesis

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