Florian Schmidt

About Florian Schmidt

Florian Schmidt, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Technische Universität Berlin, specializes in the field of Distributed Intelligence, Cloud computing, Machine learning, Industry 4.0.

His recent articles reflect a diverse array of research interests and contributions to the field:

Scalable and Data-driven Decision Support in the Maintenance, Repair, and Overhaul Process

Efficient runtime profiling for black-box machine learning services on sensor streams

Edgepier: P2p-based container image distribution in edge computing environments

Los: Local-optimistic scheduling of periodic model training for anomaly detection on sensor data streams in meshed edge networks

Towards a cognitive compute continuum: An architecture for ad-hoc self-managed swarms

Artificial intelligence for it operations (aiops) workshop white paper

Towards aiops in edge computing environments

Optimizing Convergence for Iterative Learning of ARIMA for Stationary Time Series

Florian Schmidt Information

University

Position

___

Citations(all)

407

Citations(since 2020)

365

Cited By

161

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

14

i10Index(since 2020)

14

Email

University Profile Page

Google Scholar

Florian Schmidt Skills & Research Interests

Distributed Intelligence

Cloud computing

Machine learning

Industry 4.0

Top articles of Florian Schmidt

Scalable and Data-driven Decision Support in the Maintenance, Repair, and Overhaul Process

2022/12/7

Florian Schmidt
Florian Schmidt

H-Index: 8

Odej Kao
Odej Kao

H-Index: 19

Efficient runtime profiling for black-box machine learning services on sensor streams

2022/5/16

Florian Schmidt
Florian Schmidt

H-Index: 8

Odej Kao
Odej Kao

H-Index: 19

Edgepier: P2p-based container image distribution in edge computing environments

2021/10/29

Florian Schmidt
Florian Schmidt

H-Index: 8

Odej Kao
Odej Kao

H-Index: 19

Los: Local-optimistic scheduling of periodic model training for anomaly detection on sensor data streams in meshed edge networks

2021/9/27

Towards a cognitive compute continuum: An architecture for ad-hoc self-managed swarms

2021/5/10

Artificial intelligence for it operations (aiops) workshop white paper

arXiv preprint arXiv:2101.06054

2021/1/15

Towards aiops in edge computing environments

2020/12/10

Optimizing Convergence for Iterative Learning of ARIMA for Stationary Time Series

2020/12/10

Bitflow: An in situ stream processing framework

2020/8/17

Sensor Artificial Intelligence and its Application to Space Systems--A White Paper

arXiv preprint arXiv:2006.08368

2020/6/9

Anomaly detection in cloud computing environments

2020

Anomaly Detection and Levels of Automation for AI-Supported System Administration

2020

See List of Professors in Florian Schmidt University(Technische Universität Berlin)

Co-Authors

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