Mahshid Helali Moghadam, Industrial Doctoral Student

Mahshid Helali Moghadam received her B.Sc. degree in software engineering and her M.Sc. degree in artificial intelligence from Iran University of Science and Technology (IUST), Tehran, Iran in 2008 and 2011 respectively. She has worked as a researcher at the ICT department of Niroo Research Institute (NRI) in Tehran for six years. She was also a research visitor at Distributed Systems research group of Umeå University for five months. Currently, she is an industrial PhD candidate at Mälardalen University and working as a researcher at RISE Research Institutes of Sweden. Her research interests include intelligent software engineering and software engineering for intelligent systems, machine learning, and autonomous systems.


Research Interests:  Intelligent Software Engineering & Software Engineering for Intelligent Systems (Software Quality Assurance, Machine Learning & Autonomous systems)

 Current Projects:

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

TESTOMAT Project - The Next Level of Test Automation

IVVES - Industrial-grade Verification and Validation of Evolving Systems

XIVT - eXcellence in Variant Testing


[Show all publications]

Latest publications:

Intelligence-Driven Software Performance Assurance (May 2022)
Mahshid Helali Moghadam

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

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)