ITS ESS-H Industrial Graduate School in Reliable Embedded Sensor Systems

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.

• ITS ESS-H Appx II, Operational plan for web info.docx

[Show all publications]

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)

Deeper at the SBST 2021 Tool Competition: ADAS Testing Using Multi-Objective Search (May 2021)
Mahshid Helali Moghadam, Markus Borg , Seyed Jalaleddin Mousavirad
2021 IEEE/ACM 14th International Workshop on Search-Based Software Testing, Co-located with ICSE 2021 (SBST 2021)

Towards a Verification-Driven Iterative Development of Software for Safety-Critical Cyber-Physical Systems (May 2021)
Marjan Sirjani, Luciana Provenzano, Sara Abbaspour Asadollah, Mahshid Helali Moghadam, Mehrdad Saadatmand
Journal of Internet Services and Applications (JISA)

An Autonomous Performance Testing Framework using Self-Adaptive Fuzzy Reinforcement Learning (Mar 2021)
Mahshid Helali Moghadam, Mehrdad Saadatmand , Markus Borg , Markus Bohlin, Björn Lisper
Software Quality Journal (Springer) (SQJ)