基本信息
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Career Trajectory
Bio
Dr. Gebraeel’s research interests lie at the intersection of Predictive Analytics and Machine Learning in IoT enabled maintenance, repair and operations (MRO) and service logistics. His key focus is on developing fundamental statistical learning algorithms specifically tailored for real-time equipment diagnostics and prognostics, and optimization models for subsequent operational and logistical decision-making in IoT ecosystems. Dr. Gebraeel also develops cyber-security algorithms intended to protect IoT-enabled critical assets from ICS-type cyberattacks (cyberattacks that target Industrial Control Systems). From the standpoint of application domains, Dr. Gebraeel has general interests in manufacturing, power generation, and service-type industries. Applications in Deep Space missions are a recent addition to his research interests, specifically, developing Self-Aware Deep Space Habitats through NASA’s HOME Space Technology Research Institute.
Research Interests
Papers共 92 篇Author StatisticsCo-AuthorSimilar Experts
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时间
引用量
主题
期刊级别
合作者
合作机构
Advanced Engineering Informatics (2024): 102566
IEEE Transactions on Power Systemsno. 99 (2024): 1-13
ACTA ASTRONAUTICA (2024): 167-181
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCHpp.1-18, (2024)
2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)pp.1158-1162, (2023)
IEEE TRANSACTIONS ON RELIABILITYno. 99 (2023): 1-16
Journal of Dynamics, Monitoring and Diagnostics (2023)
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Author Statistics
#Papers: 97
#Citation: 4710
H-Index: 34
G-Index: 68
Sociability: 5
Diversity: 1
Activity: 2
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