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Other IDs

ResearcherID: ABC-9373-2021
Scopus Author ID: 57195836005

Countries

Germany

Biography

Maxim Friesen received the B.S. degree in Electrical Engineering in 2017 and the M.S degree in Information Technologies in 2021 from the Technische Hochschule Ostwestfalen-Lippe, Lemgo, Germany. He currently works as a research assistant at Institute Industrial IT (inIT) in Lemgo and pursues his PhD at Mid Sweden University in Sundsvall, Sweden. His research interests include zero-touch network resource provisioning and management, automated IIoT network reconfiguration and network digital twins.

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Employment (1)

Technische Hochschule Ostwestfalen-Lippe: Lemgo, DE

2017-05 to present | Research Assistant (inIT: Institute Industrial IT)
Employment
Source: Self-asserted source
Maxim Friesen

Education and qualifications (3)

Mid Sweden University: Sundsvall, SE

2022-05 to 2026-05 | PhD (Communication Systems and Networks)
Education
Source: Self-asserted source
Maxim Friesen

Technische Hochschule Ostwestfalen-Lippe: Lemgo, DE

2016-09 to 2021-03 | Master of Science (FB5 - Information Technologies)
Education
Source: Self-asserted source
Maxim Friesen

Technische Hochschule Ostwestfalen-Lippe: Lemgo, DE

2013-09 to 2017-02 | Bachelor of Science (FB5 - Electrial Engineering)
Education
Source: Self-asserted source
Maxim Friesen

Works (13)

Network Digital Twins: A Key-Enabler for Zero-Touch Management in Industrial Communication Systems

2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)
2023-09-12 | Conference paper
DOI: 10.1109/etfa54631.2023.10275400
Contributors: Maxim Friesen; Sarder Fakhrul Abedin; Mikael Gidlund; Jürgen Jasperneite
Source: Self-asserted source
Maxim Friesen

Multi-Agent Deep Reinforcement Learning For Real-World Traffic Signal Controls - A Case Study

2022 IEEE 20th International Conference on Industrial Informatics (INDIN)
2022-07-25 | Conference paper
DOI: 10.1109/indin51773.2022.9976109
Contributors: Maxim Friesen; Tian Tan; Jurgen Jasperneite; Jie Wang
Source: Self-asserted source
Maxim Friesen

Machine Learning for Zero- Touch Management in Heterogeneous Industrial Networks - A Review

2022 IEEE 18th International Conference on Factory Communication Systems (WFCS)
2022-04-27 | Conference paper
DOI: 10.1109/wfcs53837.2022.9779183
Contributors: Maxim Friesen; Lukasz Wisniewski; Jurgen Jasperneite
Source: Self-asserted source
Maxim Friesen

Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control

arXiv
2021 | Other
EID:

2-s2.0-85124449570

Part of ISSN: 23318422
Contributors: Müller, A.; Rangras, V.; Ferfers, T.; Hufen, F.; Schreckenberg, L.; Jasperneite, J.; Schnittker, G.; Waldmann, M.; Friesen, M.; Wiering, M.
Source: Self-asserted source
Maxim Friesen via Scopus - Elsevier

Application of Multi-Agent Deep Reinforcement Learning to Optimize Real-World Traffic Signal Controls

2021-12-06 | Preprint | Author
DOI: 10.36227/techrxiv.16974493
SOURCE-WORK-ID:

16974493
Contributors: Maxim Friesen; Tian Tan; Juergen Jasperneite; Jie Wang
Source: check_circle
figshare

A comparative evaluation of security mechanisms in DDS, TLS and DTLS

Technologien für die intelligente Automation
2020 | Journal article
DOI: 10.1007/978-3-662-59895-5_15
Part of ISBN: 9783662598948
Part of ISBN: 9783662598955
Part of ISSN: 2522-8579
Part of ISSN: 2522-8587
Source: Self-asserted source
Maxim Friesen

Entwicklung einer IT-Sicherheitsinfrastruktur für verteilte Automatisierungssysteme

2020 | Report
DOI: 10.25968/OPUS-1626
Source: Self-asserted source
Maxim Friesen

Development of an IT security infrastructure for distributed automation systems - Integration of different middleware solutions in a public key infrastructure enhanced by an authorization certificate,Entwicklung einer it-sicherheitsinfrastruktur für verteilte automatisierungssysteme: Integration verschiedener middleware-lösungen in eine, durch attributzertifikate erweiterte, public-key-infrastruktur

VDI Berichte
2019 | Book
EID:

2-s2.0-85106017825

Part of ISSN: 00835560
Contributors: Tebbje, S.; Niemann, K.-H.; Friesen, M.; Karthikeyan, G.; Heiss, S.; Jänicke, L.; Meyer, C.; Trsek, H.
Source: Self-asserted source
Maxim Friesen via Scopus - Elsevier

Secure middleware solutions for Industry 4.0 - An IT security analysis of current communication approaches,Sichere middleware-lösungen für die industrie 4.0 eine it-sicherheitsanalyse aktueller kommunikationsansätze

VDI Berichte
2018 | Book
EID:

2-s2.0-85105926749

Part of ISSN: 00835560
Contributors: Friesen, M.; Karthikeyan, G.; Wisniewski, L.; Heiss, S.; Steinke, K.; Niemann, K.-H.
Source: Self-asserted source
Maxim Friesen via Scopus - Elsevier

Sichere Middleware-Lösungen für die Industrie 4.0 – Eine IT-Sicherheitsanalyse aktueller Kommunikationsansätze

Automation 2018
2018 | Journal article
DOI: 10.51202/9783181023303-355
Part of ISBN: 9783181023303
Source: Self-asserted source
Maxim Friesen
grade
Preferred source (of 2)‎

Pursuing the Vision of Industrie 4.0: Secure Plug-and-Produce by Means of the Asset Administration Shell and Blockchain Technology

2018 IEEE 16th International Conference on Industrial Informatics (INDIN)
2018-07 | Journal article
DOI: 10.1109/indin.2018.8471939
ISBN: 9781538648292
Source: Self-asserted source
Maxim Friesen

Reliability-oriented multipath communication for internet-based cyber-physical systems

2018 14th IEEE International Workshop on Factory Communication Systems (WFCS)
2018-06 | Journal article
DOI: 10.1109/wfcs.2018.8402354
ISBN: 9781538610664
Source: Self-asserted source
Maxim Friesen

Evaluation of multipath communication protocols for reliable internet-based cyber-physical systems

2017 IEEE 26th International Symposium on Industrial Electronics (ISIE)
2017-06 | Journal article
DOI: 10.1109/isie.2017.8001415
ISBN: 9781509014125
Source: Self-asserted source
Maxim Friesen
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