Mahshid Helali Moghadam

According to our database, Mahshid Helali Moghadam authored at least 34 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Machine learning testing in an ADAS case study using simulation-integrated bio-inspired search-based testing.

Mahshid Helali Moghadam, Markus Borg, Mehrdad Saadatmand, Seyed Jalaleddin Mousavirad, Markus Bohlin, Björn Lisper

J. Softw. Evol. Process., May, 2024

Enabling Smart Retrofitting and Performance Anomaly Detection for a Sensorized Vessel: A Maritime Industry Experience.

Mahshid Helali Moghadam, Mateusz Rzymowski, Lukasz Kulas

CoRR, 2024

A Novel Two-Level Clustering-Based Differential Evolution Algorithm for Training Neural Networks.

Seyed Jalaleddin Mousavirad, Diego Oliva, Gerald Schaefer, Mahshid Helali Moghadam, Mohammed El-Abd

Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024

Lithium-Ion Battery SOH Forecasting: From Deep Learning Augmented by Explainability to Lightweight Machine Learning Models.

Arman Sheikhani, Ervin Agic, Mahshid Helali Moghadam, Juan Carlos Andresen, Anders Vesterberg

Proceedings of the 29th IEEE International Conference on Emerging Technologies and Factory Automation, 2024

Using Decision Support to Fortify Industrial Control System Against Cyberattacks.

Alireza Dehlaghi-Ghadim, Niclas Ericsson, Lars-Göran Magnusson, Mats Eriksson, Mahshid Helali Moghadam, Ali Balador, Hans Hansson

Proceedings of the 29th IEEE International Conference on Emerging Technologies and Factory Automation, 2024

2023

Ergo, SMIRK is safe: a safety case for a machine learning component in a pedestrian automatic emergency brake system.

Markus Borg, Jens Henriksson, Kasper Socha, Olof Lennartsson, Elias Sonnsjö Lönegren, Thanh Bui, Piotr Tomaszewski, Sankar Raman Sathyamoorthy, Sebastian Brink, Mahshid Helali Moghadam

Softw. Qual. J., June, 2023

ICSSIM - A framework for building industrial control systems security testbeds.

Alireza Dehlaghi-Ghadim, Ali Balador, Mahshid Helali Moghadam, Hans Hansson, Mauro Conti

Comput. Ind., June, 2023

How effective are current population-based metaheuristic algorithms for variance-based multi-level image thresholding?

Seyed Jalaleddin Mousavirad, Gerald Schaefer, Huiyu Zhou, Mahshid Helali Moghadam

Knowl. Based Syst., 2023

Making Sense of Failure Logs in an Industrial DevOps Environment.

Muhammad Abbas, Ali Hamayouni, Mahshid Helali Moghadam, Mehrdad Saadatmand, Per Erik Strandberg

CoRR, 2023

Anomaly Detection Dataset for Industrial Control Systems.

Alireza Dehlaghi-Ghadim, Mahshid Helali Moghadam, Ali Balador, Hans Hansson

IEEE Access, 2023

2022

Intelligence-Driven Software Performance Assurance.

Mahshid Helali Moghadam

PhD thesis, 2022

An autonomous performance testing framework using self-adaptive fuzzy reinforcement learning.

Mahshid Helali Moghadam, Mehrdad Saadatmand, Markus Borg, Markus Bohlin, Björn Lisper

Softw. Qual. J., 2022

RWS-L-SHADE: An Effective L-SHADE Algorithm Incorporation Roulette Wheel Selection Strategy for Numerical Optimisation.

Seyed Jalaleddin Mousavirad, Mahshid Helali Moghadam, Mehrdad Saadatmand, Ripon K. Chakrabortty, Gerald Schaefer, Diego Oliva

Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022

2021

Towards a Verification-Driven Iterative Development of Software for Safety-Critical Cyber-Physical Systems.

Marjan Sirjani, Luciana Provenzano, Sara Abbaspour Asadollah, Mahshid Helali Moghadam, Mehrdad Saadatmand

J. Internet Serv. Appl., 2021

Efficient and Effective Generation of Test Cases for Pedestrian Detection - Search-based Software Testing of Baidu Apollo in SVL.

Hamid Ebabi, Mahshid Helali Moghadam, Markus Borg, Gregory Gay, Afonso Fontes, Kasper Socha

CoRR, 2021

HMS-OS: Improving the Human Mental Search Optimisation Algorithm by Grouping in both Search and Objective Space.

Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Diego Oliva, Mahshid Helali Moghadam, Mehrdad Saadatmand

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

An Enhanced Differential Evolution Algorithm Using a Novel Clustering-based Mutation Operator.

Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Mahshid Helali Moghadam, Mehrdad Saadatmand, Mahdi Pedram

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Deeper at the SBST 2021 Tool Competition: ADAS Testing Using Multi-Objective Search.

Mahshid Helali Moghadam, Markus Borg, Seyed Jalaleddin Mousavirad

Proceedings of the 14th IEEE/ACM International Workshop on Search-Based Software Testing, 2021

An LSTM-Based Plagiarism Detection via Attention Mechanism and a Population-Based Approach for Pre-training Parameters with Imbalanced Classes.

Seyed Vahid Moravvej, Seyed Jalaleddin Mousavirad, Mahshid Helali Moghadam, Mehrdad Saadatmand

Proceedings of the Neural Information Processing - 28th International Conference, 2021

A population-based automatic clustering algorithm for image segmentation.

Seyed Jalaleddin Mousavirad, Gerald Schaefer, Mahshid Helali Moghadam, Mehrdad Saadatmand, Mahdi Pedram

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Performance Testing Using a Smart Reinforcement Learning-Driven Test Agent.

Mahshid Helali Moghadam, Golrokh Hamidi, Markus Borg, Mehrdad Saadatmand, Markus Bohlin, Björn Lisper, Pasqualina Potena

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Automated Performance Testing Based on Active Deep Learning.

Ali Sedaghatbaf, Mahshid Helali Moghadam, Mehrdad Saadatmand

Proceedings of the 2nd IEEE/ACM International Conference on Automation of Software Test, 2021

Efficient and Effective Generation of Test Cases for Pedestrian Detection - Search-based Software Testing of Baidu Apollo in SVL.

Hamid Ebadi, Mahshid Helali Moghadam, Markus Borg, Gregory Gay, Afonso Fontes, Kasper Socha

Proceedings of the 2021 IEEE International Conference on Artificial Intelligence Testing, 2021

2020

From Requirements to Verifiable Executable Models Using Rebeca.

Marjan Sirjani, Luciana Provenzano, Sara Abbaspour Asadollah, Mahshid Helali Moghadam

Proceedings of the Software Engineering and Formal Methods. SEFM 2020 Collocated Workshops, 2020

Poster: Performance Testing Driven by Reinforcement Learning.

Mahshid Helali Moghadam, Mehrdad Saadatmand, Markus Borg, Markus Bohlin, Björn Lisper

Proceedings of the 13th IEEE International Conference on Software Testing, 2020

2019

Machine learning-assisted performance testing.

Mahshid Helali Moghadam

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Machine Learning to Guide Performance Testing: An Autonomous Test Framework.

Mahshid Helali Moghadam, Mehrdad Saadatmand, Markus Borg, Markus Bohlin, Björn Lisper

Proceedings of the 2019 IEEE International Conference on Software Testing, 2019

2018

Makespan reduction for dynamic workloads in cluster-based data grids using reinforcement-learning based scheduling.

Mahshid Helali Moghadam, Seyed Morteza Babamir

J. Comput. Sci., 2018

Learning-Based Self-Adaptive Assurance of Timing Properties in a Real-Time Embedded System.

Mahshid Helali Moghadam, Mehrdad Saadatmand, Markus Borg, Markus Bohlin, Björn Lisper

Proceedings of the 2018 IEEE International Conference on Software Testing, 2018

Learning-based response time analysis in real-time embedded systems: a simulation-based approach.

Mahshid Helali Moghadam, Mehrdad Saadatmand, Markus Borg, Markus Bohlin, Björn Lisper

Proceedings of the 1st International Workshop on Software Qualities and Their Dependencies, 2018

Adaptive runtime response time control in PLC-based real-time systems using reinforcement learning.

Mahshid Helali Moghadam, Mehrdad Saadatmand, Markus Borg, Markus Bohlin, Björn Lisper

Proceedings of the 13th International Conference on Software Engineering for Adaptive and Self-Managing Systems, 2018

2017

Adaptive Service Performance Control using Cooperative Fuzzy Reinforcement Learning in Virtualized Environments.

Olumuyiwa Ibidunmoye, Mahshid Helali Moghadam, Ewnetu Bayuh Lakew, Erik Elmroth

Proceedings of the 10th International Conference on Utility and Cloud Computing, 2017

2016

A Multi-Objective Optimization Model for Data-Intensive Workflow Scheduling in Data Grids.

Mahshid Helali Moghadam, Seyed Morteza Babamir, Meghdad Mirabi

Proceedings of the 41st IEEE Conference on Local Computer Networks Workshops, 2016

Integration of heterogeneous data sources in smart grid based on summary schema model.

Foroogh Sedighi, Mahshid Helali Moghadam

Proceedings of the 2016 12th International Conference on Innovations in Information Technology (IIT), 2016