Mahshid Helali Moghadam

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Mehrdad SaadatmandSenior Researcher at RISE Research Institutes of Sweden (RISE SICS)Verified email at ri.se
Markus BorgPrincipal Researcher, CodeScene and Adjunct Associate Professor, Lund UniversityVerified email at codescene.com
Seyed Jalaleddin MousaviradMid Sweden University, SwedenVerified email at miun.se
Björn LisperProfessor of Computer Engineering, Mälardalen UniversityVerified email at mdh.se
Markus BohlinProfessor of Computer Science, Mälardalen UniversityVerified email at mdu.se
Alireza Dehlaghi-GhadimResearcher, Research Institute of Sweden (RISE)Verified email at ri.se
Ali BaladorSenior Researcher at EricssonVerified email at ericsson.com
Hans HanssonProfessor of Real-Time Systems, Mälardalen UniversityVerified email at mdh.se
Seyed Morteza BabamirProfessor of Software Engineering, University of KashanVerified email at kashanu.ac.ir
Diego OlivaProfessor, Universidad de Guadalajara - CUCEIVerified email at academicos.udg.mx
Nasser MozayaniIran University of Science and TechnologyVerified email at iust.ac.ir
Marjan SirjaniMälardalen UniversityVerified email at mdh.se
Luciana ProvenzanoSenior Lecturer, MDUVerified email at mdu.se
Sara Abbaspour AsadollahResearcherVerified email at mdu.se
Seyed Vahid MoravvejUNSW Machine Learning LabVerified email at ec.iut.ac.ir
Mauro ContiIEEE Fellow - Prof. @ University of Padua - Affiliate Prof. @ TU Delft/UW SeattleVerified email at math.unipd.it
Per Erik StrandbergTest Lead & Industrial Doctoral Student, Westermo & Mälardalen UniversityVerified email at westermo.se
Gregory GayChalmers | University of GothenburgVerified email at chalmers.se
Hamid EbadiChalmers University of Technology, Gothenburg, SwedenVerified email at chalmers.se
Afonso FontesPhD Student, Chalmers University of TechnologyVerified email at chalmers.se

Mahshid Helali Moghadam

PhD. Senior Data Scientist, Research Project Lead, Scania R&D | Mälardalen University

Verified email at scania.com

Machine Learning Testing Software Testing AI4SE Cyber Security Anomaly Detection


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A street lighting control system based on holonic structures and traffic system MH Moghadam, N Mozayani International Conference on Computer Research and Development (ICCRD), 92-96, 2011	44	2011
An LSTM-based plagiarism detection via attention mechanism and a population-based approach for pre-training parameters with imbalanced classes SV Moravvej, SJ Mousavirad, MH Moghadam, M Saadatmand Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021	38	2021
ICSSIM – A Framework for Building Industrial Control Systems Security Testbeds A Dehlaghi-Ghadim, A Balador, MH Moghadam, H Hansson, M Conti Computers in Industry 148, 2023	33	2023
Machine Learning to Guide Performance Testing: An Autonomous Test Framework MH Moghadam, M Saadatmand, M Borg, M Bohlin, B Lisper 2019 IEEE International Conference on Software Testing, Verification and …, 2019	33	2019
Makespan reduction for dynamic workloads in cluster-based data grids using reinforcement learning based scheduling MH Moghadam, SM Babamir Journal of computational science 24, 402-412, 2018	24	2018
Efficient and Effective Generation of Test Cases for Pedestrian Detection-Search-based Software Testing of Baidu Apollo in SVL H Ebadi, MH Moghadam, M Borg, G Gay, A Fontes, K Socha 2021 IEEE International Conference on Artificial Intelligence Testing …, 2021	23	2021
Anomaly Detection Dataset for Industrial Control Systems A Dehlaghi-Ghadim, MH Moghadam, A Balador, H Hansson IEEE Access 11, 2023	21	2023
Ergo, SMIRK is safe: A safety case for a machine learning component in a pedestrian automatic emergency brake system M Borg, J Henriksson, K Socha, O Lennartsson, E Sonnsjö Lönegren, ... Software Quality Journal, 1-69, 2023	21	2023
Machine learning-assisted performance testing MH Moghadam Proceedings of the 2019 27th ACM Joint Meeting on European Software …, 2019	19	2019
Deeper at the SBST 2021 Tool Competition: ADAS Testing Using Multi-Objective Search MH Moghadam, M Borg, SJ Mousavirad IEEE/ACM 14th International Workshop on Search-Based Software Testing (SBST), 2021	17	2021
An Autonomous Performance Testing Framework using Self-Adaptive Fuzzy Reinforcement Learning MH Moghadam, M Saadatmand, M Borg, M Bohlin, B Lisper Software Quality Journal, 2021	13	2021
Adaptive Service Performance Control using Cooperative Fuzzy Reinforcement Learning in Virtualized Environments O Ibidunmoye, MH Moghadam, EB Lakew, E Elmroth Proceedings of the10th International Conference on Utility and Cloud …, 2017	13	2017
Automated Performance Testing Based on Active Deep Learning A Sedaghatbaf, MH Moghadam, M Saadatmand 2nd ACM/IEEE International Conference on Automation of Software Test, 2021	10	2021
Poster: Performance Testing Driven by Reinforcement Learning MH Moghadam, M Saadatmand, M Borg, M Bohlin, B Lisper 2020 IEEE International Conference on Software Testing, Verification and …, 2020	10	2020
Learning-based response time analysis in real-time embedded systems: A simulation-based approach MH Moghadam, M Saadatmand, M Borg, M Bohlin, B Lisper 2018 IEEE/ACM 1st International Workshop on Software Qualities and their …, 2018	10	2018
Towards a verification-driven iterative development of software for safety-critical cyber-physical systems M Sirjani, L Provenzano, SA Asadollah, MH Moghadam, M Saadatmand Journal of Internet Services and Applications 12 (1), 2, 2021	9	2021
From Requirements to Verifiable Executable Models using Rebeca M Sirjani, L Provenzano, SA Asadollah, MH Moghadam Software Engineering and Formal Methods. SEFM 2020 Collocated Workshops …, 2020	9	2020
Machine Learning Testing in an ADAS Case Study Using Simulation-Integrated Bio-Inspired Search-Based Testing MH Moghadam, M Borg, M Saadatmand, SJ Mousavirad, M Bohlin, ... Journal of Software: Evolution and Process, 2023	8	2023
The Westermo Network Traffic Data Set PE Strandberg, D Söderman, A Dehlaghi-Ghadim, M Leon, T Markovic, ... Data in Brief, 2023	8	2023
Performance Testing Using a Smart Reinforcement Learning-Driven Test Agent MH Moghadam, G Hamidi, M Borg, M Saadatmand, M Bohlin, B Lisper, ... IEEE Congress on Evolutionary Computation (CEC) 2021, 2385-2394, 2021	8	2021

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