Student Projects
Modeling and Control of an Ex-Vivo Perfusion Machine
The reintegration of individuals who have experienced accidents is at the heart of our efforts. A severe car accident or a workplace accident, can profoundly change a person's life. Such tragic events often result in serious injuries, such as severed limbs, and are classified as "polytrauma." At our lab, we are working to mitigate the consequences of such severe accidents. Using an innovative perfusion machine, we try to keep severed limbs alive outside the body for up to four days. This time window provides the foundation for successfully retransplanting the limb to a stabilized polytrauma patient.
Keywords
Mathematical modeling; Control; Biomedical; Optimization; Fluiddynamics
Labels
Master Thesis , ETH Zurich (ETHZ)
Description
Goal
Contact Details
More information
Open this project... call_made
Published since: 2025-03-28 , Earliest start: 2025-04-01 , Latest end: 2025-12-23
Applications limited to ETH Zurich
Organization Research Onder
Hosts Neumann Marc-Philippe
Topics Engineering and Technology
Infrastructure Optimization for Bus Fleet Electrification
Development of an open-source Python toolbox for optimizing electric bus fleet electrification in Switzerland, focusing on charging infrastructure, battery sizing, and strategy. The next phase aims to enhance compatibility, expand charging options, integrate new energy sources, and improve computational efficiency in collaboration with PostAuto.
Keywords
Electric bus, fleet electrification, charging infrastructure, Dynamic programming
Labels
Master Thesis
Description
Goal
Contact Details
More information
Open this project... call_made
Published since: 2025-02-19
Organization Research Onder
Hosts Moradi Mohammad
Topics Engineering and Technology
AI-Supported Energy Management Optimization for Hybrid Ships
This thesis explores advanced energy management for hybrid ships using Dynamic Programming (DP) and Model Predictive Control (MPC). It integrates Long Short-Term Memory (LSTM) models aiming to improve load forecasting, energy demand prediction, and operational optimization, with a focus on real-world constraints and maritime applications.
Keywords
Machine learning, Hybrid Ships, Hybrid vessels, Energy Management Systems, Dynamic Programming (DP), Model Predictive Control (MPC), Long Short-Term Memory (LSTM)
Labels
Master Thesis
Description
Goal
Contact Details
More information
Open this project... call_made
Published since: 2025-01-20 , Earliest start: 2025-01-20
Organization Research Onder
Hosts Moradi Mohammad
Topics Engineering and Technology