1. Potential and challenges of depth-resolved three-dimensional MPM simulations: a case study of the 2019 'Salezer' snow avalanche in Davos 

   Kyburz, Michael Lukas; Sovilla, Betty; Buhler, Yves; et al. (2024)

   Annals of Glaciology

   Avalanche modeling is an essential tool to assess snow avalanche hazard. Today, most popular numerical approaches adopt depth-averaged equations. These methods are computationally efficient but limited in capturing processes occurring in the flow depth direction, e.g. erosion or deposition, which are often considered using ad hoc parameterizations or neglected completely. However, processes such as snow erosion, can crucially influence ...

   Journal Article

2. Leveraging Sankey diagrams for enhanced curriculum planning in higher education 

   Templ, Barbara; Templ, Matthias; van Chinh, Anouk N' Guyen; et al. (2024)

   CURRICULUM JOURNAL

   Journal Article

3. Introducing Fairness in Lane-Free Traffic 

   Chavoshi, Kimia; Ferrara, Antonella; Kouvelas, Anastasios (2024)

   TechRxiv

   The present paper proposes a collaborative control strategy for CAV movement in a lane-free environment, where CAVs have different priority values. The priority values are designed to introduce fairness, relying on the interaction history of every CAV. These priority values are the output of the Stationary Nash Equilibrium (SNE) of a modified Karma game. The modification is proposed to tackle a proportional resource allocation problem. ...

   Working Paper

4. Building and characterizing a laser source for a 40K-MOT 

   Neubauer, Benjamin (2024)

   Student Paper

5. Cumulative Prospect Theoretic Reinforcement Learning: New Insights and Policy Gradient Algorithm 

   Lepel, Olivier (2024)

   Master Thesis

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