Andreas Gustavsson is a post-doctoral research fellow at Mälardalen University since March 2017. He is a member of the robotics research group at Embedded Systems (ES), formerly known as the Mälardalen Real-Time research Center (MRTC), and his current research focus is sensor fusion using artificial neural networks. He previously received his M.Sc. in Automation and Mechatronics (focusing on Mechatronics and Computer Science) from Chalmers University of Technology in December 2007, and his Ph.D. in computer science (focusing on worst-case execution time analysis of parallel systems) from Mälardalen University in May 2016.
Andreas' current research interest is timing-analysis (WCET analysis) of parallel software.
An Efficient Approach for Detecting Moving Objects and Deriving Their Positions and Velocities (Apr 2019) Andreas Gustavsson Computer Vision Conference (CVC) 2019 (CVC2019)
Timing Analysis of Parallel Software Using Abstract Execution (Jan 2014) Andreas Gustavsson, Jan Gustafsson, Björn Lisper 15th International Conference on Verification, Model Checking, and Abstract Interpretation (VMCAI'14)
The Black Pearl: An Autonomous Underwater Vehicle (Jun 2013) Carl Ahlberg, Lars Asplund, Gabriel Campeanu, Federico Ciccozzi, Fredrik Ekstrand, Mikael Ekström, Juraj Feljan, Andreas Gustavsson, Séverine Sentilles, Ivan Svogor, Emil Segerblad
|DPAC - Dependable Platforms for Autonomous systems and Control||active|
|RALF3 - Software for Embedded High Performance Architectures||finished|
|Timing Analysis on Code-Level||active|
|WCET - Worst-Case Execution Time analysis||active|
|Worst-Case Execution Time Analysis of Parallel Systems||finished|
|Automated image analyzing and categorizing program||finished|