Olaf Landsiedel

About Olaf Landsiedel

Olaf Landsiedel, With an exceptional h-index of 27 and a recent h-index of 18 (since 2020), a distinguished researcher at Christian-Albrechts-Universität zu Kiel, specializes in the field of Distributed Systems, Internet of Things, Energy Efficiency, Wireless Sensor Networks, Network Security.

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

TimeCast: Real-Time Many-to-Many Data-Sharing in Low-Power Wireless Distributed Systems

LightEQ: On-Device Earthquake Detection with Embedded Machine Learning

STARC: Decentralized Coordination Primitive on Low-Power IoT Devices for Autonomous Intersection Management

ProgDTD: Progressive learned image compression with double-tail-drop training

TSCH Meets BLE: Routed Mesh Communication Over BLE

Grace: Low-cost time-synchronized GPIO tracing for IoT testbeds

ALADIn: Autonomous Linear Antenna Delay Inference on Resource-Constrained Ultra-Wideband Devices

Securing Embedded Devices through Obfuscation with Predictable Size and Execution Overhead

Olaf Landsiedel Information

University

Position

Professor at Germany

Citations(all)

3375

Citations(since 2020)

1376

Cited By

2650

hIndex(all)

27

hIndex(since 2020)

18

i10Index(all)

52

i10Index(since 2020)

29

Email

University Profile Page

Google Scholar

Olaf Landsiedel Skills & Research Interests

Distributed Systems

Internet of Things

Energy Efficiency

Wireless Sensor Networks

Network Security

Top articles of Olaf Landsiedel

Title

Journal

Author(s)

Publication Date

TimeCast: Real-Time Many-to-Many Data-Sharing in Low-Power Wireless Distributed Systems

IEEE Systems Journal

Jagnyashini Debadarshini

Madhav Tummala

Sudipta Saha

Olaf Landsiedel

Mun Choon Chan

2023/7/17

LightEQ: On-Device Earthquake Detection with Embedded Machine Learning

Tayyaba Zainab

Jens Karstens

Olaf Landsiedel

2023/5/9

STARC: Decentralized Coordination Primitive on Low-Power IoT Devices for Autonomous Intersection Management

Journal of Sensor and Actuator Networks

Patrick Rathje

Valentin Poirot

Olaf Landsiedel

2023/7/11

ProgDTD: Progressive learned image compression with double-tail-drop training

Ali Hojjat

Janek Haberer

Olaf Landsiedel

2023

TSCH Meets BLE: Routed Mesh Communication Over BLE

Laura Harms

Olaf Landsiedel

2023/6/19

Grace: Low-cost time-synchronized GPIO tracing for IoT testbeds

Computer Networks

Laura Harms

Christian Richter

Olaf Landsiedel

2023/6/1

ALADIn: Autonomous Linear Antenna Delay Inference on Resource-Constrained Ultra-Wideband Devices

Patrick Rathje

Olaf Landsiedel

2023/12/15

Securing Embedded Devices through Obfuscation with Predictable Size and Execution Overhead

Leif Brötzmann

Patrick Rathje

Olaf Landsiedel

2023/12/15

Towards Distributed Machine Learning for Data Acquisition in Wireless Sensor Networks

Tayyaba Zainab

Jens Karstens

Olaf Landsiedel

2023/5/9

Cross domain fusion in power electronics dominated distribution grids

Informatik Spektrum

Pugliese Sante

Olaf Landsiedel

Johannes Kuprat

Marco Liserre

2022/10

Optical Monitoring of Second-Life Batteries Enhanced by Machine Learning

Lars Eike Kruse

Jendrik Schill

Olaf Landsiedel

Stephan Pachnicke

2022/6/26

Cross domain fusion for spatiotemporal applications: taking interdisciplinary, holistic research to the next level

Informatik Spektrum

Matthias Renz

Peer Kröger

Agnes Koschmider

Olaf Landsiedel

Nelson Tavares de Sousa

2022/10

eAFH: Informed Exploration for Adaptive Frequency Hopping in Bluetooth Low Energy

Valentin Poirot

Olaf Landsiedel

2022/5/30

DisruptaBLE: Opportunistic BLE Networking

Patrick Rathje

Olaf Landsiedel

2022/9/26

Activation sparsity and dynamic pruning for split computing in edge AI

Janek Haberer

Olaf Landsiedel

2022/12/9

Microtl: Transfer learning on low-power IoT devices

Christos Profentzas

Magnus Almgren

Olaf Landsiedel

2022/9/26

Time Difference on Arrival Extraction from Two-Way Ranging

arXiv preprint arXiv:2204.08996

Patrick Rathje

Olaf Landsiedel

2022/4/12

TraceBand: Privacy-Preserving Contact Tracing on Low-Power Wristbands.

Patrick Rathje

Olaf Landsiedel

2022/12/2

MiniLearn: On-Device Learning for Low-Power IoT Devices.

Christos Profentzas

Magnus Almgren

Olaf Landsiedel

2022/9

Cross-domain fusion in smart seafloor sensor networks

Informatik Spektrum

Tayyaba Zainab

Jens Karstens

Olaf Landsiedel

2022/10

See List of Professors in Olaf Landsiedel University(Christian-Albrechts-Universität zu Kiel)

Co-Authors

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