Mahshid Helali Moghadam

Registered user since Wed 7 Mar 2018

Name:Mahshid Helali Moghadam

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. 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 working 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 at Scania group in Sweden.

Affiliation:Scania CV AB
Research interests:Software Engineering, Machine Learning & Autonomous Systems.


AST 2023 Committee Member in Program Committee within the AST 2023-track
AST 2021 Author of Automated Performance Testing Based on Active Deep Learning within the AST 2021-track
ICST 2020 Author of Poster: Performance Testing Driven by Reinforcement Learning within the Posters Track-track
SEAMS 2018 Author of Adaptive Runtime Response Time Control in PLC-based Real-Time Systems using Reinforcement Learning within the SEAMS 2018-track