基本信息
浏览量:26
职业迁徙
个人简介
The areas are categorized in three fields:
AI for Operations. We apply analytics and machine learning (ML) techniques to automate IT operations and maintenance. We collect operational data from IT infrastructures, leverage big data and AI platforms to automatically detect and predict failures in datacenters and cloud platforms in real-time.
Edge AI. We bring ML algorithms, computation and data storage closer to the devices where data is generated. This local computation allows to process data in devices with a low latency. Examples of use cases include video surveillance and health monitoring.
AI for Networks. We leverage ML to automate routine tasks, such as network verification, configuration, optimization and troubleshooting. The new algorithms and tools developed provide network operators and architects with key network insights and actionable information.
AI for DevOps. We are also exploring the area of AI for DevOps to determine how AI can be leveraged to improve configuration management, continuous verification, service management, scalability analysis, etc.
AI for Operations. We apply analytics and machine learning (ML) techniques to automate IT operations and maintenance. We collect operational data from IT infrastructures, leverage big data and AI platforms to automatically detect and predict failures in datacenters and cloud platforms in real-time.
Edge AI. We bring ML algorithms, computation and data storage closer to the devices where data is generated. This local computation allows to process data in devices with a low latency. Examples of use cases include video surveillance and health monitoring.
AI for Networks. We leverage ML to automate routine tasks, such as network verification, configuration, optimization and troubleshooting. The new algorithms and tools developed provide network operators and architects with key network insights and actionable information.
AI for DevOps. We are also exploring the area of AI for DevOps to determine how AI can be leveraged to improve configuration management, continuous verification, service management, scalability analysis, etc.
研究兴趣
论文共 319 篇作者统计合作学者相似作者
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CoRR (2024)
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CoRR (2024)
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2024 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S)pp.88-95, (2024)
crossref(2024)
IEEE CONFERENCE ON GLOBAL COMMUNICATIONS, GLOBECOMpp.6789-6794, (2023)
2023 IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER AIDED DESIGN, ICCAD (2023): 01-09
2023 IEEE/ACM 23RD INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND INTERNET COMPUTING, CCGRIDpp.1-12, (2023)
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENTno. 4 (2023): 4231-4243
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作者统计
#Papers: 320
#Citation: 8871
H-Index: 45
G-Index: 83
Sociability: 6
Diversity: 1
Activity: 2
合作学者
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D-Core
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