Mahshid Helali Moghadam holds a PhD degree in computer science from Mälardalen university. Her PhD research entitled "Intelligence-Driven Software Performance Assurance" focused on the intersection of applied machine learning and software engineering with a focus on software performance assurance.
She obtained her Licentiate degree in computer science from Mälardalen University in 2020. She received her M.Sc. degree in artificial intelligence and machine learning and her B.Sc. degree in software engineering from Iran University of Science and Technology (IUST), Tehran, Iran in 2011 and 2008 respectively.
Her research interests comprise industry-centric data science, intelligent software engineering, and software engineering for intelligent systems. Her research directions are based on the use of machine learning and computational intelligence techniques to build autonomous software agents for robustness testing of AI and non-AI software systems, runtime software performance control, fault diagnosis, and performance anomaly detection. She has been involved in various European research projects and was a researcher and project lead at the Smart Industrial Automation unit at RISE Research Institutes of Sweden. She is currently a data scientist and technical project lead at Scania R&D in Sweden.
Research Interests: Intelligent Software Engineering & Software Engineering for Intelligent Systems (Software Quality Assurance, Machine Learning & Autonomous systems)
InSecTT-Intelligent Secure Trustable Things
AIDoRt - AI-augmented automation for efficient DevOps and the continuous development At RunTime in cyber-physical systems
DAIS-Distributed Artificial Intelligent Systems
IVVES - Industrial-grade Verification and Validation of Evolving Systems
ITS ESS-H Industrial Graduate School in Reliable Embedded Sensor Systems
TESTOMAT Project - The Next Level of Test Automation
XIVT - eXcellence in Variant Testing
Machine Learning Testing in an ADAS Case Study Using Simulation-Integrated Bio-Inspired Search-Based Testing (Jun 2023) Mahshid Helali Moghadam, Markus Borg , Mehrdad Saadatmand , Seyed Jalaleddin Mousavirad , Markus Bohlin, Björn Lisper Journal of Software: Evolution and Process (JSEP)
How effective are current population-based metaheuristic algorithms for variance-based multi-level image thresholding? (Apr 2023) Seyed Jalaleddin Mousavirad , Gerald Schaefer , Huiyu Zhou , Mahshid Helali Moghadam Knowledge-Based Systems (KBS)
Anomaly Detection Dataset for Industrial Control Systems (Apr 2023) Alireza Dehlaghi Ghadim, Mahshid Helali Moghadam, Ali Balador, Hans Hansson IEEE Access (IEEE Access 2023)
ICSSIM — A framework for building industrial control systems security testbeds (Mar 2023) Alireza Dehlaghi Ghadim, Ali Balador, Mahshid Helali Moghadam, Hans Hansson, Mauro Conti Computers in Industry (CompInd-Vol-123)
Making Sense of Failure Logs in an Industrial DevOps Environment (Feb 2023) Muhammad Abbas, Ali Hamayouni , Mahshid Helali Moghadam, Mehrdad Saadatmand , Per Erik Strandberg 20th International Conference on Information Technology : New Generations (ITNG 2023)
|ITS ESS-H Industrial Graduate School in Reliable Embedded Sensor Systems
|TESTOMAT Project - The Next Level of Test Automation