THE INFLUENCE OF NANOCOATINGS ON THE WEAR, CORROSION, AND EROSION PROPERTIES OF AISI 304 AND AISI 316L STAINLESS STEELS: A CRITICAL REVIEW REGARDING HYDRO TURBINES ArticleReza Kashyzadeh Kazem, Ridha Waleed Khalid Mohammed, Ghorbani SiamakCorrosion and Materials Degradation. Том 6. 2025.
COMMON CAUSES OF FAILURES IN THE INDUSTRIAL BOLT AND NUT CONNECTIONS ArticleReza Kashyzadeh Kazem, Ghorbani Siamak, Kasimovich Al Adarbi MarselEngineering Failure Analysis. Том 173. 2025.
EXPERIMENTAL STUDY OF THE EROSION BEHAVIOR OF 304 STAINLESS STEEL UNDER SOLID-LIQUID JET FLOW IMPINGING AT DIFFERENT IMPACT ANGLES ArticleRidha Waleed Khalid Mohammed, Reza Kashyzadeh Kazem, Ghorbani SiamakAIP Conference Proceedings. Том 3211. 2025.
INFLUENCE OF ENVIRONMENTAL TEMPERATURE ON THE CORROSION RESISTANCE OF VARIOUS ALUMINUM ALLOYS: AN EXPERIMENTAL STUDY ArticleReza Kashyzadeh Kazem, Ghorbani Siamak, Averyanov A.S.Вестник Российского университета дружбы народов. Серия: Инженерные исследования. Том 26. 2025. С. 94-106
ENHANCED AUTOREGRESSIVE INTEGRATED MOVING AVERAGE MODEL FOR ANOMALY DETECTION IN POWER PLANT OPERATIONS ArticleFahmi A.TWK., Kashyzadeh K.R., Ghorbani S.International Journal of Engineering. Том 37. 2024. С. 1691-1699
SMART MAINTENANCE STRATEGIES IN COMBINED CYCLE POWER PLANT ArticleFahmi Al Tekreeti Watban Khalid, Reza Kashyzadeh Kazem, Ghorbani SiamakJournal of Computational and Applied Research in Mechanical Engineering. Том 14. 2024. С. 35-46
ADVANCEMENTS IN GAS TURBINE FAULT DETECTION: A MACHINE LEARNING APPROACH BASED ON THE TEMPORAL CONVOLUTIONAL NETWORK-AUTOENCODER MODEL ArticleFahmi A.WK., Kashyzadeh K.R., Ghorbani S.APPLIED SCIENCES-BASEL. Том 14. 2024.
TECHNICAL SOLUTION TO DECREASE CAVITATION EFFECTS IN THE KAPLAN TURBINE BLADE ArticleKhalid M.R., Reza Kashyzadeh Kazem, Ghorbani SiamakВестник Российского университета дружбы народов. Серия: Инженерные исследования. Том 25. 2024. С. 121-129
FAILURE ANALYSIS OF A KAPLAN TURBINE BLADE IN IRAQ’S HADITHA HYDROPOWER PLANT ArticleKhalid W.M., Reza Kashyzadeh Kazem, Ghorbani SiamakВестник Российского университета дружбы народов. Серия: Инженерные исследования. Том 25. 2024. С. 30-37
FAULT DETECTION IN THE GAS TURBINE OF THE KIRKUK POWER PLANT: AN ANOMALY DETECTION APPROACH USING DLSTM-AUTOENCODER ArticleFahmi A.WK., Kashyzadeh K.R., Ghorbani S.Engineering Failure Analysis. Том 160. 2024.