Available Master's Thesis in Space Systems and Sensor Technologies
- J
- jotne_5: AI-Driven On-Board Edge Processing for Real-Time mm-Sized Space Debris Detection
- jotne_4: LLM-Assisted Automated Flight Operations Procedure Generation and Validation for CENSSAT-1
- jotne_3: Physics-Based Machine Learning Framework for Solar Array and Payload Sensor Degradation Modeling and Life Expectancy Prediction
- jotne_2: LLM-Based Satellite Health Management and Event Analysis
- Jotne_1: Dynamic Payload Operation Scheduling & Power Prediction Framework for CENSSAT-1
- G
- C
- Component-Testing_3: TID testing of Si photomultipliers
- Component-Testing_1: DD/TNID test of Silicon Diodes
- CENSSAT-1_Rad_1: Calibration and Characterisation of the ASTRA-LEO Detector
- CENSSAT-1_Rad_3: Modelling and Simulation of ASTRA-LEO Detector Performance
- CENSSAT-1_Rad_2: Operations Planning and Science Readiness for ASTRA-LEO
- CENSSAT-1_SYS_2: Satellite operation concept
- CENSSAT-1_SYS_3: Systems Engineering, Visualisation
- CENSSAT-1_SYS_4: SatNOGs ground station
- Component-Testing_2: Space Components Radiation Testing (TID or SEE)
- F
- FFI_1: Design of Spacecraft Attitude Guidance and Control System for Imaging while Tracking Accessible Curves on a Surface
- FFI_2: Space Robotics for In-Orbit Manipulation of Target Spacecraft
- FFI_3: Using Norsat-4 to study the Influence of observing conditions on the detectability of ships
- FFI_4: Satellite concepts using available radio signals for detection of ships and/or spacecraft