The research field of the Graduate School ITS ESS-H is reliable embedded sensor systems. The area of reliable embedded sensor systems is rapidly developing, and there is a strong pull from users for advanced intelligent sensor systems in many application areas, often in safety-related applications. One application area is health applications, where the systems should help to strengthen or sustain the health of humans. Another area is reliable industrial applications. There are strong synergy effects between different applications areas focusing on reliable embedded sensor systems. This means that results produced within one application area are likely to be applicable also in other application areas. The development of reliable embedded sensor systems means business opportunities, but also a need for competence enhancement in this area. From a scientific point of view, this means that the ITS ESS-H graduate school will contribute to important application areas where the aims are to improve human health and minimize human suffering, and to provide reliable sensor systems for industrial use, also in safety-critical applications.
Machine Learning Testing in an ADAS Case Study Using Simulation-Integrated Bio-Inspired Search-Based Testing (Mar 2022) Mahshid Helali Moghadam, Markus Borg , Mehrdad Saadatmand , Seyed Jalaleddin Mousavirad , Markus Bohlin, Björn Lisper
Software Test Results Exploration and Visualization with Continuous Integration and Nightly Testing (Feb 2022) Per Erik Strandberg, Wasif Afzal, Daniel Sundmark International Journal on Software Tools for Technology Transfer (STTT)
Automated System-Level Software Testing of Industrial Networked Embedded Systems (Nov 2021) Per Erik Strandberg
Efficient and Effective Generation of Test Cases for Pedestrian Detection – Search-based Software Testing of Baidu Apollo in SVL (Aug 2021) Hamid Ebadi , Mahshid Helali Moghadam, Markus Borg , Gregory Gay , Afonso Fontes , Kasper Socha The Third IEEE International Conference on Artificial Intelligence Testing (AITest'21)
A Population-Based Automatic Clustering Algorithm for Image Segmentation (Jul 2021) Seyed Jalaleddin Mousavirad , Gerald Schaefer , Mahshid Helali Moghadam, Mehrdad Saadatmand The Genetic and Evolutionary Computation Conference Companion 2021 (GECCOC 2021)
Performance Testing Using a Smart Reinforcement Learning-Driven Test Agent (Jul 2021) Mahshid Helali Moghadam, Golrokh Hamidi , Markus Borg , Mehrdad Saadatmand , Markus Bohlin, Björn Lisper, Pasqualina Potena 2021 IEEE Congress on Evolutionary Computation (IEEE CEC 2021)
Partner | Type |
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RISE Research Institutes of Sweden | Academic |
Camanio Care AB | Industrial |
Infoflex Connect AB | Industrial |
Neldus Tech | Industrial |
Senseair | Industrial |
SICS Swedish ICT - the Swedish institute of computer science | Industrial |
Volvo GTO | Industrial |
Westermo R&D AB | Industrial |
Wireless Peer-to-Peer AB | Industrial |