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Sabari Nathan Anbalagan was born in Salem on the 10th of June, 1994. He recently earned his PhD in Industrial IoT Systems. He holds a bachelor's and master’s degree in Information Technology, specializing in Networking and Communication for his master’s. Ranked in the top 1% of Computer Science graduates across India in 2016, he has consistently demonstrated expertise in computer science fundamentals.

During his PhD, Sabari researched the optimization of wireless networks for Industrial IoT applications, focusing on improving 5G and Beyond-5G technologies. His work on graceful degradation techniques for battlefield networks during his master’s studies further demonstrates his expertise in networking.

Sabari has contributed to several significant research projects, and his findings have been published in reputable journals and presented at international conferences. Notably, his work earned him a Best Paper nomination at ISM 2023.

In addition to his research, Sabari has been involved in multiple teaching and supervisory roles in areas such as the Internet of Things, Pervasive Computing, Distributed Systems, Wireless Access Networks, and Computer Networks.

He has also served as a guest researcher at TNO, The Netherlands.

Expertise

  • Computer Science

    • Industrial Internet of Things
    • Industry 4.0
    • 5G
    • Channel Quality
    • Throughput
    • Ultra Reliable Low Latency Communication
  • Engineering

    • Industrial Internet
    • Internet of Things

Organisations

Publications

2024

SPECTRUM: Towards Self-aware Industrial IoT Systems (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Anbalagan, S. N.https://doi.org/10.3990/1.9789036563352Fine Grained vs Coarse Grained Channel Quality Prediction: A 5G-RedCap Perspective for Industrial IoT Networks (2024)In 2024 IEEE 20th International Conference on Factory Communication Systems (WFCS) (pp. 1-7). IEEE. Anbalagan, S. N., Chiumento, A. & Havinga, P. J. M.Assessing Factory’s Industry 4.0 Readiness: A Practical Method for IIoT Sensor and Network Analysis (2024)Procedia computer science, 232, 2730-2739. Anbalagan, S. N., Schwarz, M., Bemthuis, R. & Havinga, P. J. M.https://doi.org/10.1016/j.procs.2024.02.090

2023

VarOLLA: Maximizing Throughput for 5G-RedCap Devices in IIoT Networks (2023)In IEEE 9th World Forum on Internet of Things 2023 (Accepted/In press). Anbalagan, S. N., Havinga, P. J. M. & Chiumento, A.

2021

Implementing Industry 4.0 in Steel Manufacturing’s Evolving IIoT Systems (2021)Iron and Steel Technology, 18(9), 154-162. Article PR-TN1221-1. Schwarz, M., Anbalagan, S. N., Jagers, S. & Loendersloot, R.https://doi.org/10.33313/TR/1221A Sensitivity Analysis on the Potential of 5G Channel Quality Prediction (2021)In 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring). Article 9448944 (IEEE Vehicular Technology Conference, VTC; Vol. 2021). IEEE. Anbalagan, S. N., Litjens, R., Das, K., Chiumento, A., Havinga, P. J. M. & van den Berg, H. L.https://doi.org/10.1109/VTC2021-Spring51267.2021.9448944

2020

Towards Factory Schedule based Adaptation for Reliable Networking in Industrial IoT (2020)In 2020 IEEE 29th International Symposium on Industrial Electronics, ISIE 2020 - Proceedings (pp. 1115-1120). Article 9152553 (IEEE International Symposium on Industrial Electronics; Vol. 2020-June). IEEE. Anbalagan, S. N., Seraj, F. & Havinga, P.https://doi.org/10.1109/ISIE45063.2020.9152553Data underlying the paper: Towards Factory Schedule based Adaptation for Reliable Networking in Industrial IoT (2020)[Dataset Types › Dataset]. 4TU.Centre for Research Data. Anbalagan, S. N. & Klein Brinke, J.https://doi.org/10.4121/uuid:31f9e127-4285-4ab3-a242-2e57c7e67430

Research profiles

Courses academic year 2024/2025

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Address

University of Twente

Zilverling (building no. 11), room 5006
Hallenweg 19
7522 NH Enschede
Netherlands

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