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Functional Neural Networks
(2024)With the technological advancements in data collection and storage, it is not uncommon to encounter situations where data are observed realizations of some underlying process defined over a continuous domain. Examples of such datasets are often found in finance, acoustics, medicine, engineering and many other disciplines. Functional data analysis (FDA) is a fairly recent field that offers a powerful framework for analyzing such data by ...Master Thesis -
Development of a Low-Cost Incinerator in Cape Maclear, Malawi
(2024)While waste collection and disposal are well-controlled in economically developed countries, the situation differs in low-income countries like Malawi, where open dumping and open burning of waste are prevalent practices. This thesis, along with others, aims to introduce a waste collection, recycling, and disposal system for the village of Cape Maclear. Specifically, it evaluates the feasibility and effectiveness of constructing low-cost ...Master Thesis -
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BIM-Based Circularity Assessment for Swiss Architecture Competitions
(2024)This thesis aimed to provide quantitative methods to assess circular construction strategies in Swiss architecture competitions. Its methodology consisted of three steps: Firstly, current practices in architecture competitions were identified. Secondly, current assessment methods were revised and, thirdly, integrated into a BIM-based competition delivery process. Very few Swiss architecture competitions that explicitly targeted circularity ...Master Thesis -
Solving the Elastic Wave Equation with Physics-Informed Neural Networks: A Robust and Critical Assessment
(2024)Physics-Informed Neural Networks (PINNs) have recently emerged as a promising approach for solving Partial Differential Equations (PDEs), offering a meshfree alternative that integrates physical principles into the learning process. This presents a new paradigm compared to traditional discretization methods and purely data-driven machine learning techniques. While promising, PINNs are not a panacea; they inherit challenges such as spectral ...Master Thesis -
On the Lovasz ϑ number for random circulant graphs
(2024)We study the behavior of the Lovász $\vartheta$ function as a random variable on a certain graph ensemble $\mathcal{G}_\text{circ}$, the set of circulant graphs with uniform measure. The $\vartheta$ function is defined in general as the solution to a semidefinite program with constraints depending on the adjacency matrix of the graph, and can be reduced for circulant graphs to a linear program. While the median of $\vartheta$ is trivially ...Master Thesis -
Design of an HDPE bottle collection and pre-cleaning system for recycling in Blantyre, Malawi
(2024)Until today, around 3 billion people lack access to municipal solid waste collection. Espe- cially low-income countries struggle with mismanagement of plastic waste. Openly disposed plas- tic materials form a severe risk to humans, animals, and the environment. To mitigate the growing issue of improperly discarded plastic waste in Blantyre, Malawi, a pilot program is being estab- lished by the Chair of Global Health Engineering at ETH ...Master Thesis -
Detection of Contamination in Biowaste
(2024)In the pursuit of a circular economy and the optimization of recycling rates for municipal waste, biowaste, constituting over 34% of Europe’s total municipal waste, emerges as a signifi- cantly overlooked resource. The potential of converting this biowaste into biogas and compost is substantial, offering valuable sources of green energy and fertilization, respectively. How- ever, a central challenge obstructing this potential lies in ...Master Thesis -
Program Sparsification with DaCe
(2024)The optimization of sparse computations is critical for a broad spectrum of applications, from material sciences to machine learning. These computations, characterized by their irregular data structures, present unique challenges in optimizing performance. This thesis investigates the limitations of existing frameworks like DaCe, which are primarily designed for dense data applications and struggle with the irregularity inherent in sparse ...Master Thesis