Anna Friebe, Doctoral student
Anna is a PhD student at Mälardalen University since 2019.
Since receiving her MSc in Applied Physics and Electrical Engineering from Linköping University in 1998, she has worked as a Software Engineer in medical imaging, virtual reality and medical treatment planning, and as project manager in an autonomous sailboat project at Åland UAS.
Anna is course responsible for DVA245, Data Structrures, Algorithms and Program Development with Python.
Her research focus is probabilistic methods in timing and schedulability analysis of real-time systems within the project PARIS. The aim is to move towards practically useful approaches to timing and schedulability analysis in complex systems where tasks can miss some deadlines.
Specifically, task execution times are described as Markov Models with continuous distributions. The research regards identification, validation and adaptation of such models from execution time traces.
Anna is a PhD student supervised by Thomas Nolte, Alessandro Papadopoulos and Filip Markovic.
Efficiently Bounding Deadline Miss Probabilities of Markov Chain Real-Time Tasks (Oct 2024) Anna Friebe, Filip Markovic, Alessandro Papadopoulos, Thomas Nolte Real-Time Systems (RTJ)
Continuous-Emission Markov Models for Real-Time Applications: Bounding Deadline Miss Probabilities (May 2023) Anna Friebe, Filip Markovic, Alessandro Papadopoulos, Thomas Nolte 29th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2023)
A Generic Software Architecture for PoE Power Sourcing Equipment (Aug 2022) Andreas Mäkilä, Anna Friebe, Leif Enblom, Per Erik Strandberg, Tiberiu Seceleanu 46th Annual IEEE Computers, Software, and Applications Conference (COMPSAC 2022)
Timing and Schedulability Analysis of Real-Time Systems using Hidden Markov Models (Jun 2022) Anna Friebe
Adaptive Runtime Estimate of Task Execution Times using Bayesian Modeling (Aug 2021) Anna Friebe, Filip Markovic, Alessandro Papadopoulos, Thomas Nolte 27th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA'21)
Identification and Validation of Markov Models with Continuous Emission Distributions for Execution Times (Aug 2020) Anna Friebe, Alessandro Papadopoulos, Thomas Nolte IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA'20)