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Amine Ben Seghier is an MSCA Fellow at Oslo Metropolitan University in Norway. Prior to joining OsloMet, he was an Alexander von Humboldt (AvH) Fellow at the Helmholtz-Zentrum Hereon's Surface Institute (Germany). Dr. Ben Seghier works in a variety of engineering disciplines, with a focus on sustainability and resilience of steel structures. His expertise include AI-based modeling, structural reliability analysis, and design optimization. Dr. Ben Seghier has authored 60 peer-reviewed scholarly papers in multidisciplinary engineering journals. These contributions have received significant attention from the academic community, with over 2000 citations and an H-index of 29. Mohamed El Amine Ben Seghier's global participation is demonstrated by their numerous international collaborations (more than 80 scholars from around the world). He also co-organized numerous workshops and mini-symposiums at prestigious conferences, including a workshop in Germany to secure corporate funding for cutting-edge research efforts. He has earned several prominent grants and fellowships, including the Marie Sklodowska-Curie Actions Fellowship, Humboldt Research Fellowship, 4TU-Resilience Engineering Grant, and Helmholtz Information & Data Science Academy (HIDA) grant.
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Identificação

Identificação pessoal

Nome completo
Mohamed El Amine Ben Seghier

Nomes de citação

  • Amine Ben Seghier

Identificadores de autor

Ciência ID
9617-2F43-33C9
ORCID iD
0000-0002-5854-775X

Telefones

Telefone
  • (+47) 96722709 (Pessoal)

Moradas

  • Olav M Troviks vei 14, 0864, Oslo, Oslo, Noruega (Pessoal)

Websites

Domínios de atuação

  • Ciências da Engenharia e Tecnologias - Engenharia Mecânica
  • Ciências da Engenharia e Tecnologias - Engenharia Civil
  • Ciências da Engenharia e Tecnologias - Engenharia dos Materiais

Idiomas

Idioma Conversação Leitura Escrita Compreensão Peer-review
Árabe (Idioma materno)
Inglês Utilizador proficiente (C2) Utilizador proficiente (C2) Utilizador proficiente (C2) Utilizador proficiente (C2) Utilizador proficiente (C2)
Francês Utilizador proficiente (C2) Utilizador proficiente (C2) Utilizador proficiente (C2) Utilizador proficiente (C2) Utilizador proficiente (C2)
Formação
Grau Classificação
2016/01/01 - 2019/02/21
Concluído
 Structural integrity of petroleum equipment’s and materials (Doktor (PhD))
Especialização em PhD
Université M'Hamed Bougara Boumerdès, Argélia

Universidade do Porto, Portugal
"Reliability and integrity of oil and gas pipelines under active corrosion attacks. " (TESE/DISSERTAÇÃO)
2014/09/06 - 2015/07/04
Concluído
 Mechanical engineering : Oil and Gas transportation and distribution (Master)
Especialização em Mechanical engineering : Oil and Gas transportation and distribution
Université M'Hamed Bougara Boumerdès Département Transport et Equipements des Hydrocarbures, Argélia
 14/20
2010/09/06 - 2013/07/04
Concluído
 Mechanical engineering : Oil and Gas transportation and distribution (Bachelor)
Especialização em Mechanical engineering : Oil and Gas transportation and distribution
Université M'Hamed Bougara Boumerdès Département Transport et Equipements des Hydrocarbures, Argélia
 14/20
Percurso profissional

Ciência

Categoria Profissional
Instituição de acolhimento 		Empregador
2023/05/01 - 2025/04/30 Investigador principal (carreira) (Investigação) OsloMet - storbyuniversitetet Fakultet for teknologi kunst og design, Noruega
2022/10/01 - 2023/04/01 Pós-doutorado (Investigação) Helmholtz-Zentrum Hereon, Alemanha
2018/07/01 - 2022/12/31 Investigador (Investigação) Universidade do Porto Departamento de Engenharia Mecânica, Portugal
2022/01/01 - 2022/09/30 Pós-doutorado (Investigação) The Hong Kong Polytechnic University, Hong Kong
2019/10/01 - 2021/12/31 Investigador principal (carreira) (Investigação) Ton Duc Thang University, Vietname
2015/09/01 - 2019/12/31 Investigador (Investigação) Université M'Hamed Bougara Boumerdès Département Transport et Equipements des Hydrocarbures, Argélia
Projetos

Bolsa

Designação Financiadores
2023/06/01 - 2025/05/31 Advanced machine learning framework for aging oil and gas pipeline safety
NA
Co-Investigador Responsável (Co-IR)
Abu Dhabi University, Emiratos Árabes Unidos
Em curso
2023/05/01 - 2025/04/30 A data-driven framework towards sustainable reuse of decommissioned petroleum platforms as support structures for wind energy production (DeP2WIND)
101061320
Bolseiro de Integração na Investigação
European Commission Creative Europe, Bélgica
Em curso
2022/10/01 - 2023/05/31 Prediction and prevention of pitting corrosion related damage of structural steels via advanced AI approaches towards long-lasting off-shore renewable energy infrastructures
NA
Bolseiro de Integração na Investigação
Alexander von Humboldt Institut für Internet und Gesellschaft GmbH, Alemanha
2018 - 2021/06/30 Fatigue Strengthening of Metallic Bridges using Carbon Fibre Reinforced Polymers
info:eu-repo/grantAgreement/SNSF/Careers/IZK0Z2_147536/CH
Investigador
2017 - 2020/06/30 FASTCOLD - Fatigue Strength of Cold-Formed Structural Steel Details
RFCS-2015-RFCS-RPJ-707510
Investigador
Em curso
2016 - 2018/12/31 SciTech - Science and Technology for Competitive and Sustainable Industries Structured R&D&I Project
NORTE-01-0145-FEDER-000022
Investigador
Produções

Publicações

Artigo em conferência
  1. Ben Seghier, M.E.A.; Rios, A.J.; Dai, J.; Plevris, V.. "Advanced framework for degradation modeling of operating structures". 2024.
    10.1201/9781003483755-57
  2. El Amine Ben Seghier, M.; Keshtegar, B.; Correia, J.A.F.O.. "Structural reliability analysis using Conjugate FORM-based Support Vector Regression". 2023.
    10.1016/j.prostr.2023.07.121
  3. Keshtegar, B.; El Amine Ben Seghier, M.; Correia, J.A.F.O.. "Gradient and non-gradient-based first order reliability method for robust and accurate structural reliability analysis". 2023.
    10.1016/j.prostr.2023.07.122
  4. Plevris, V.; Solorzano, G.; Bakas, N.P.; Ben Seghier, M.E.A.. "INVESTIGATION OF PERFORMANCE METRICS IN REGRESSION ANALYSIS AND MACHINE LEARNING-BASED PREDICTION MODELS". 2022.
    10.23967/eccomas.2022.155
  5. Amine Ben Seghier, M.E.; Plevris, V.; Solorzano, G.. "USING ARTIFICIAL INTELLIGENCE TECHNIQUES FOR THE ACCURATE ESTIMATION OF THE ULTIMATE PURE BENDING OF STEEL CIRCULAR TUBES". 2022.
    10.23967/eccomas.2022.285
  6. Guillal, A.; Abdelbaki, N.; Seghier, M.E.A.B.; Correia, J.A.F.O.; De Jesus, A.; Zhu, S.-P.. "Sensitivity of reliability-based fatigue analysis to crack shape development in cracked pipeline". 2019.
    10.1016/j.prostr.2020.01.026
  7. Lesiuk, G.; Smolnicki, M.; Seghier, M.E.A.B.; Calcada, R.A.B.; Correia, J.A.F.O.; Blazejewski, W.; Jesus, A.. "Fractography study of the mixed mode fatigue crack growth process in pressure vessel p355nl1 steel". 2019.
    10.1115/pvp2019-94062
  8. Ben Seghier, M.E.A.; Tee, K.F.; Keshtegar, B.. "A combined support vector regression and genetic algorithm for prediction of burst pressure of corroded pipelines". 2019.
  9. Seghier, M.; Keshtegar, B.; Correia, J.; Jesus, A.D.; Lesiuk, G.. "Structural Reliability Analysis of Corroded Pipeline made in X60 Steel Based on M5 Model Tree Algorithm and Monte Carlo Simulation". 2018.
    10.1016/j.prostr.2018.12.349
Artigo em revista
  1. Alejandro Jimenez Rios; Mohamed El Amine Ben Seghier; Vagelis Plevris; Jian Dai. "Explainable ensemble learning framework for estimating corrosion rate in suspension bridge main cables". Results in Engineering (2024): https://doi.org/10.1016/j.rineng.2024.102723.
    10.1016/j.rineng.2024.102723
  2. Hu, C.; Le, Q.; Li, D.; Ben Seghier, M.E.A.; Ruizhen Guo; Zou, Q.; Zhou, X.; et al. "In-situ synthesis and performance evaluation of novel color coatings for galvanized steel". Journal of Materials Research and Technology 29 (2024): 958-968. http://www.scopus.com/inward/record.url?eid=2-s2.0-85183206805&partnerID=MN8TOARS.
    10.1016/j.jmrt.2024.01.083
  3. Salina Farini Bahaman, U.; Mustaffa, Z.; Ben Seghier, M.E.A.; Badri, T.M.. "Evaluating the reliability and integrity of composite pipelines in the oil and gas sector: A scientometric and systematic analysis". Ocean Engineering 303 (2024): http://www.scopus.com/inward/record.url?eid=2-s2.0-85189751681&partnerID=MN8TOARS.
    10.1016/j.oceaneng.2024.117773
  4. Alfouneh, M.; Ben Seghier, M.E.A.; Keshtegar, B.; Tabatabaie Shojah, S.A.. "A new formulation for predicting the ultimate capacities of FRP-confined concrete using advanced machine learning framework: Developed structural reliability analysis". Structures 68 (2024): http://www.scopus.com/inward/record.url?eid=2-s2.0-85203412781&partnerID=MN8TOARS.
    10.1016/j.istruc.2024.107158
  5. Ben Seghier, M.E.A.; Elshaboury, N.; Abdelkader, E.M.; Carvalho, H.; de Faria, C.C.; Miguel, L.F.. "Two-stage framework for lateral-torsional buckling resistance prediction of cellular steel beams under fire conditions". Structures 68 (2024): http://www.scopus.com/inward/record.url?eid=2-s2.0-85203459462&partnerID=MN8TOARS.
    10.1016/j.istruc.2024.107157
  6. Taiwo, R.; Yussif, A.-M.; Ben Seghier, M.E.A.; Zayed, T.. "Explainable ensemble models for predicting wall thickness loss of water pipes". Ain Shams Engineering Journal 15 4 (2024): http://www.scopus.com/inward/record.url?eid=2-s2.0-85184675398&partnerID=MN8TOARS.
    10.1016/j.asej.2024.102630
  7. Taiwo, R.; Zayed, T.; Ben Seghier, M.E.A.. "Integrated intelligent models for predicting water pipe failure probability". Alexandria Engineering Journal 86 (2024): 243-257. http://www.scopus.com/inward/record.url?eid=2-s2.0-85178666908&partnerID=MN8TOARS.
    10.1016/j.aej.2023.11.047
  8. Ali Khan, M.; Mustaffa, Z.; Sati Hamonangan Harahap, I.; Ben Seghier, M.E.A.. "A comprehensive approach for understanding debris flow interaction with pipelines through dynamic impact pressure modeling". Engineering Failure Analysis 162 (2024): http://www.scopus.com/inward/record.url?eid=2-s2.0-85192081100&partnerID=MN8TOARS.
    10.1016/j.engfailanal.2024.108383
  9. Muddassir, M.; Zayed, T.; Taiwo, R.; Ben Seghier, M.E.A.. "Advancing the analysis of water pipe failures: a probabilistic framework for identifying significant factors". Scientific Reports 14 1 (2024): http://www.scopus.com/inward/record.url?eid=2-s2.0-85201560837&partnerID=MN8TOARS.
    10.1038/s41598-024-69855-w
  10. Ben Seghier, M.E.A.; Mohamed, O.A.; Ouaer, H.. "Machine learning-based Shapley additive explanations approach for corroded pipeline failure mode identification". Structures 65 (2024): http://www.scopus.com/inward/record.url?eid=2-s2.0-85195818146&partnerID=MN8TOARS.
    10.1016/j.istruc.2024.106653
  11. Hou, J.; Le, Q.; Chen, L.; Jia, Y.; Hu, C.; Amine Ben Seghier, M.E.. "Domination and effect of multi-parameters in direct chill casting based on establishment of thermo model by numerical simulation and experiment". Journal of Materials Research and Technology 27 (2023): 6619-6644. http://www.scopus.com/inward/record.url?eid=2-s2.0-85177845476&partnerID=MN8TOARS.
    10.1016/j.jmrt.2023.09.308
  12. Farh, H.M.H.; Ben Seghier, M.E.A.; Zayed, T.. "A comprehensive review of corrosion protection and control techniques for metallic pipelines". Engineering Failure Analysis 143 (2023): http://www.scopus.com/inward/record.url?eid=2-s2.0-85141943763&partnerID=MN8TOARS.
    10.1016/j.engfailanal.2022.106885
  13. Taiwo, R.; Ben Seghier, M.E.A.; Zayed, T.. "Toward Sustainable Water Infrastructure: The State-Of-The-Art for Modeling the Failure Probability of Water Pipes". Water Resources Research 59 4 (2023): http://www.scopus.com/inward/record.url?eid=2-s2.0-85153890090&partnerID=MN8TOARS.
    10.1029/2022WR033256
  14. Afzali Ahmadabadi, S.; Jafari-Asl, J.; Banifakhr, E.; Houssein, E.H.; Ben Seghier, M.E.A.. "Risk-Based Design Optimization of Contamination Detection Sensors in Water Distribution Systems: Application of an Improved Whale Optimization Algorithm". Water (Switzerland) 15 12 (2023): http://www.scopus.com/inward/record.url?eid=2-s2.0-85163794914&partnerID=MN8TOARS.
    10.3390/w15122217
  15. Han, Z.; Li, X.; Zhang, R.; Yang, M.; Seghier, M.E.A.B.. "A dynamic condition assessment model of aging subsea pipelines subject to corrosion-fatigue degradation". Applied Ocean Research 139 (2023): http://www.scopus.com/inward/record.url?eid=2-s2.0-85168808263&partnerID=MN8TOARS.
    10.1016/j.apor.2023.103717
  16. Mustaffa, Z.; Edmund, J.E.; Al-Bared, M.A.M.; Hanizan, D.F.; Ben Seghier, M.E.A.. "Failure mechanisms of reinforced thermoplastic pipe (RTP) with crack defects at longitudinal and circumferential orientations". Engineering Failure Analysis 151 (2023): http://www.scopus.com/inward/record.url?eid=2-s2.0-85162178250&partnerID=MN8TOARS.
    10.1016/j.engfailanal.2023.107401
  17. Ben Seghier, M.E.A.; Knudsen, O.Ø.; Skilbred, A.W.B.; Höche, D.. "An intelligent framework for forecasting and investigating corrosion in marine conditions using time sensor data". npj Materials Degradation 7 1 (2023): http://www.scopus.com/inward/record.url?eid=2-s2.0-85178115859&partnerID=MN8TOARS.
    10.1038/s41529-023-00404-y
  18. Ben Seghier, M.E.A.; Plevris, V.; Malekjafarian, A.. "Development of Hybrid Adaptive Neural Fuzzy Inference System-Based Evolutionary Algorithms for Flexural Capacity Prediction in Corroded Steel Reinforced Concrete Beam". Arabian Journal for Science and Engineering 48 10 (2023): 13147-13163. http://www.scopus.com/inward/record.url?eid=2-s2.0-85149134502&partnerID=MN8TOARS.
    10.1007/s13369-023-07708-w
  19. Hussein Farh, H.M.; Ben Seghier, M.E.A.; Taiwo, R.; Zayed, T.. "Analysis and ranking of corrosion causes for water pipelines: a critical review". npj Clean Water 6 1 (2023): http://www.scopus.com/inward/record.url?eid=2-s2.0-85171371885&partnerID=MN8TOARS.
    10.1038/s41545-023-00275-5
  20. Ben Seghier, M.E.A.; Carvalho, H.; de Faria, C.C.; Correia, J.A.F.O.; Fakury, R.H.. "Numerical analysis and prediction of lateral-torsional buckling resistance of cellular steel beams using FEM and least square support vector machine optimized by metaheuristic algorithms". Alexandria Engineering Journal 67 (2023): 489-502. http://www.scopus.com/inward/record.url?eid=2-s2.0-85145773928&partnerID=MN8TOARS.
    10.1016/j.aej.2022.12.062
  21. Ben Seghier, M.E.A.; Golafshani, E.M.; Jafari-Asl, J.; Arashpour, M.. "Metaheuristic-based machine learning modeling of the compressive strength of concrete containing waste glass". Structural Concrete 24 4 (2023): 5417-5440. http://www.scopus.com/inward/record.url?eid=2-s2.0-85147166880&partnerID=MN8TOARS.
    10.1002/suco.202200260
  22. Jafari-Asl, J.; Ben Seghier, M.E.A.; Ohadi, S.; Correia, J.; Barroso, J.. "Reliability analysis based improved directional simulation using Harris Hawks optimization algorithm for engineering systems". Engineering Failure Analysis 135 (2022): http://www.scopus.com/inward/record.url?eid=2-s2.0-85124694990&partnerID=MN8TOARS.
    10.1016/j.engfailanal.2022.106148
  23. Ben Seghier, M.E.A.; Spyridis, P.; Jafari-Asl, J.; Ohadi, S.; Li, X.. "Comparative Study on the Efficiency of Simulation and Meta-Model-Based Monte Carlo Techniques for Accurate Reliability Analysis of Corroded Pipelines". Sustainability (Switzerland) 14 10 (2022): http://www.scopus.com/inward/record.url?eid=2-s2.0-85130551947&partnerID=MN8TOARS.
    10.3390/su14105830
  24. Zhu, S.-P.; Keshtegar, B.; Ben Seghier, M.E.A.; Zio, E.; Taylan, O.. "Hybrid and enhanced PSO: Novel first order reliability method-based hybrid intelligent approaches". Computer Methods in Applied Mechanics and Engineering 393 (2022): http://www.scopus.com/inward/record.url?eid=2-s2.0-85125233165&partnerID=MN8TOARS.
    10.1016/j.cma.2022.114730
  25. Mai, S.H.; Ben Seghier, M.E.A.; Nguyen, P.L.; Jafari-Asl, J.; Thai, D.-K.. "A hybrid model for predicting the axial compression capacity of square concrete-filled steel tubular columns". Engineering with Computers 38 2 (2022): 1205-1222. http://www.scopus.com/inward/record.url?eid=2-s2.0-85087748209&partnerID=MN8TOARS.
    10.1007/s00366-020-01104-w
  26. Ben Seghier, M.E.A.; Plevris, V.; Solorzano, G.. "Random forest-based algorithms for accurate evaluation of ultimate bending capacity of steel tubes". Structures 44 (2022): 261-273. http://www.scopus.com/inward/record.url?eid=2-s2.0-85135723160&partnerID=MN8TOARS.
    10.1016/j.istruc.2022.08.007
  27. Salina Farini Bahaman, U.; Mustaffa, Z.; Ben Seghier, M.E.A.; Neesa Idris, N.. "Integrity of API 5L X56 Offshore Pipeline Subjected to Girth Weld Anomalies and Corrosion Using Probabilistic Methods". Journal of Performance of Constructed Facilities 36 5 (2022): http://www.scopus.com/inward/record.url?eid=2-s2.0-85133682094&partnerID=MN8TOARS.
    10.1061/(ASCE)CF.1943-5509.0001750
  28. Ben Seghier, M.E.A.; Mustaffa, Z.; Zayed, T.. "Reliability assessment of subsea pipelines under the effect of spanning load and corrosion degradation". Journal of Natural Gas Science and Engineering 102 (2022): http://www.scopus.com/inward/record.url?eid=2-s2.0-85128471763&partnerID=MN8TOARS.
    10.1016/j.jngse.2022.104569
  29. Ben Seghier, M.E.A.; Höche, D.; Zheludkevich, M.. "Prediction of the internal corrosion rate for oil and gas pipeline: Implementation of ensemble learning techniques". Journal of Natural Gas Science and Engineering 99 (2022): http://www.scopus.com/inward/record.url?eid=2-s2.0-85123574248&partnerID=MN8TOARS.
    10.1016/j.jngse.2022.104425
  30. Mohamed El Amine Ben Seghier; José A. F. O. Corriea; Jafar Jafari-Asl; Abdollah Malekjafarian; Vagelis Plevris; Nguyen-Thoi Trung. "On the modeling of the annual corrosion rate in main cables of suspension bridges using combined soft computing model and a novel nature-inspired algorithm". Neural Computing and Applications (2021): https://doi.org/10.1007/s00521-021-06199-w.
    10.1007/s00521-021-06199-w
  31. Behrooz Keshtegar; Mohamed El Amine Ben Seghier; Enrico Zio; José A.F.O. Correia; Shun-Peng Zhu; Nguyen-Thoi Trung. "Novel efficient method for structural reliability analysis using hybrid nonlinear conjugate map-based support vector regression". Computer Methods in Applied Mechanics and Engineering (2021): https://doi.org/10.1016/j.cma.2021.113818.
    10.1016/j.cma.2021.113818
  32. Mohamed El Amine Ben Seghier; Hocine Ouaer; Mohammed Abdelfetah Ghriga; Nait Amar Menad; Duc-Kien Thai. "Hybrid soft computational approaches for modeling the maximum ultimate bond strength between the corroded steel reinforcement and surrounding concrete". Neural Computing and Applications (2021): https://doi.org/10.1007/s00521-020-05466-6.
    10.1007/s00521-020-05466-6
  33. Mohamed El Amine Ben Seghier; Behrooze Keshtegar; Mohammed Taleb-Berrouane; Rouzbeh Abbassi; Nguyen-Thoi Trung. "Advanced intelligence frameworks for predicting maximum pitting corrosion depth in oil and gas pipelines". Process Safety and Environmental Protection 147 (2021): 818-833. https://doi.org/10.1016/j.psep.2021.01.008.
    10.1016/j.psep.2021.01.008
  34. Jafari-Asl, J.; Ben Seghier, M.E.A.; Ohadi, S.; van Gelder, P.. "Efficient method using Whale Optimization Algorithm for reliability-based design optimization of labyrinth spillway". Applied Soft Computing 101 (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85098566433&partnerID=MN8TOARS.
    10.1016/j.asoc.2020.107036
  35. Ben Seghier, M.E.A.; Gao, X.-Z.; Jafari-Asl, J.; Thai, D.-K.; Ohadi, S.; Trung, N.-T.. "Modeling the nonlinear behavior of ACC for SCFST columns using experimental-data and a novel evolutionary-algorithm". Structures 30 (2021): 692-709. http://www.scopus.com/inward/record.url?eid=2-s2.0-85100090527&partnerID=MN8TOARS.
    10.1016/j.istruc.2021.01.036
  36. Ben Seghier, M.E.A.; Kechtegar, B.; Nait Amar, M.; A.F.O. Correia, J.; Trung, N.-T.. "Simulation of the ultimate conditions of fibre-reinforced polymer confined concrete using hybrid intelligence models". Engineering Failure Analysis 128 (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85111262789&partnerID=MN8TOARS.
    10.1016/j.engfailanal.2021.105605
  37. Bakar, M.A.A.; Mustaffa, Z.; Idris, N.N.; Ben Seghier, M.E.A.. "Experimental program on the burst capacity of reinforced thermoplastic pipe (RTP) under impact of quasi-static lateral load". Engineering Failure Analysis 128 (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85111319120&partnerID=MN8TOARS.
    10.1016/j.engfailanal.2021.105626
  38. Idris, N.N.; Mustaffa, Z.; Ben Seghier, M.E.A.; Trung, N.-T.. "Burst capacity and development of interaction rules for pipelines considering radial interacting corrosion defects". Engineering Failure Analysis 121 (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85098520422&partnerID=MN8TOARS.
    10.1016/j.engfailanal.2020.105124
  39. Nait Amar, M.; Ghriga, M.A.; Ben Seghier, M.E.A.; Ouaer, H.. "Predicting solubility of nitrous oxide in ionic liquids using machine learning techniques and gene expression programming". Journal of the Taiwan Institute of Chemical Engineers (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85114243816&partnerID=MN8TOARS.
    10.1016/j.jtice.2021.08.042
  40. Jafari-Asl, J.; Ohadi, S.; Ben Seghier, M.E.A.; Trung, N.-T.. "Accurate structural reliability analysis using an improved line-sampling-method-based slime mold algorithm". ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 7 2 (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85102349921&partnerID=MN8TOARS.
    10.1061/AJRUA6.0001129
  41. Jafari-Asl, J.; Ben Seghier, M.E.A.; Ohadi, S.; Dong, Y.; Plevris, V.. "A Comparative Study on the Efficiency of Reliability Methods for the Probabilistic Analysis of Local Scour at a Bridge Pier in Clay-Sand-Mixed Sediments". Modelling 2 1 (2021): 63-77. http://www.scopus.com/inward/record.url?eid=2-s2.0-85104561304&partnerID=MN8TOARS.
    10.3390/modelling2010004
  42. Seghier, M.E.A.B.; Keshtegar, B.; Mahmoud, H.. "Time-dependent reliability analysis of reinforced concrete beams subjected to uniform and pitting corrosion and brittle fracture". Materials 14 8 (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85104516828&partnerID=MN8TOARS.
    10.3390/ma14081820
  43. Mohamed El Amine Ben Seghier; Hermes Carvalho; Behrooz Keshtegar; José A. F. O. Correia; Filippo Berto. "Novel hybridized adaptive neuro-fuzzy inference system models based particle swarm optimization and genetic algorithms for accurate prediction of stress intensity factor". Fatigue & Fracture of Engineering Materials & Structures (2020): https://doi.org/10.1111/ffe.13325.
    10.1111/ffe.13325
  44. El Amine Ben Seghier, M.; Keshtegar, B.; Tee, K.F.; Zayed, T.; Abbassi, R.; Trung, N.T.. "Prediction of maximum pitting corrosion depth in oil and gas pipelines". Engineering Failure Analysis 112 (2020): http://www.scopus.com/inward/record.url?eid=2-s2.0-85082015273&partnerID=MN8TOARS.
    10.1016/j.engfailanal.2020.104505
  45. Bagheri, M.; Zhu, S.-P.; Ben Seghier, M.E.A.; Keshtegar, B.; Trung, N.-T.. "Hybrid intelligent method for fuzzy reliability analysis of corroded X100 steel pipelines". Engineering with Computers (2020): http://www.scopus.com/inward/record.url?eid=2-s2.0-85079440585&partnerID=MN8TOARS.
    10.1007/s00366-020-00969-1
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Atividades

Membro de comissão

Descrição da atividade
Tipo de participação 		Instituição / Organização
2024/03/01 - Atual Member in the International Association for Bridge Maintenance and Safety; IABMAS.
Membro
2023/09/01 - Atual Member in The International Union of Laboratories and Experts in Construction Materials, Systems and Structures; RILEM.
Membro
 Réunion Internationale des Laboratoires et Experts des Matériaux Systèmes de Construction et Ouvrages, França
2022/10/01 - Atual Member in the Alexander von Humboldt Alumni (Germany) and Meghrebian (North Africa); AvH.
Membro
 Alexander von Humboldt Institut für Internet und Gesellschaft GmbH, Alemanha
2022/01/01 - Atual Member in the European Structural Integrity Society (ESIS)
Membro
Distinções

Prémio

2024 Early Career Award
2023 Excellent reviewer award
Éditions Scientifiques Elsevier, França
2022 RGC Postdoctoral Fellowship and Distinguished PolyU Fellowship of Hong Kong
The Hong Kong Polytechnic University, Hong Kong
2022 Humboldt Research Fellowship for Postdocs
Alexander von Humboldt Institut für Internet und Gesellschaft GmbH, Alemanha
2022 Helmholtz Information & Data Science Academy (HIDA)
Helmholtz-Zentrum Hereon Institut für Werkstoffmechanik, Alemanha
2022 International Research Fellowship
Technische Universiteit Delft, Países Baixos
2021 Marie Sklodowska-Curie Actions Fellowship
2019 Outstanding Reviewer

Outra distinção

2024 Stanford/Elsevier’s Top 2% Scientist Rankings
Stanford University, Estados Unidos