Fernando Jurado-Lasso
  • Publications

Research Interests

My research lies at the intersection of embedded systems, IoT networking, and machine learning, with a focus on reinforcement learning, network optimization, and intelligent IoT/IIoT cyber-physical systems.

Research Impact Overview

Citation Growth Chart
297
Citations
9
h-index
9
i10-index
102
Most Cited

High Impact Publications

\(\star\) Ranked by citations per year since publication

  • [SENSJ]

    Energy-aware routing for software-defined multihop wireless sensor networks

    F. Fernando Jurado-Lasso , Ken Clarke , Ampalavanapillai Nirmalathas
    IEEE Sensors Journal , Apr 2021
    DOI PDF
    Cited by 102
  • [IOTJ]

    LEACH-RLC: Enhancing IoT Data Transmission with Optimized Clustering and Reinforcement Learning

    F. Fernando Jurado-Lasso , J. F. Jurado , Xenofon Fafoutis
    IEEE Internet of Things Journal , Mar 2025
    DOI PDF CODE
    Cited by 16
  • [ACCESS]

    A survey on machine learning software-defined wireless sensor networks (ML-SDWSNS): Current status and major challenges

    F. Fernando Jurado-Lasso , Letizia Marchegiani , J. F. Jurado , Adnan M. Abu-Mahfouz , Xenofon Fafoutis
    IEEE access , Mar 2022
    DOI PDF
    Cited by 62
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Complete Publication List

  1. [WiMob'25] August Falck Valentin , Simon K. Janum , F. Fernando Jurado-Lasso , Xenofon Fafoutis and Charalampos Orfanidis , “ Adaptive Mobility Control in LoRaWAN via Reinforcement Learning ” in 2025 21th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) , pp. 1–8 , Dec 2025
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  2. [IOTJ] F. Fernando Jurado-Lasso , J. F. Jurado and Xenofon Fafoutis , “ LEACH-RLC: Enhancing IoT Data Transmission with Optimized Clustering and Reinforcement Learning ” in IEEE Internet of Things Journal , vol. 12 , no. 13 , pp. 23462–23478 , Mar 2025 16 citations lead
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  3. [TCCN] F. Fernando Jurado-Lasso , Charalampos Orfanidis , J. F. Jurado and Xenofon Fafoutis , “ HRL-TSCH: A Hierarchical Reinforcement Learning-based TSCH Scheduler for IIoT ” in IEEE Transactions on Cognitive Communications and Networking , vol. 10 , no. 6 , pp. 2102–2118 , Dec 2024 13 citations lead
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  4. [JSYST] F. Fernando Jurado-Lasso , Mohammadreza Barzegaran , J. F. Jurado and Xenofon Fafoutis , “ ELISE: A Reinforcement Learning Framework to Optimize the Slotframe Size of the TSCH Protocol in IoT Networks ” in IEEE Systems Journal , vol. 18 , no. 2 , pp. 1068–1079 , Jun 2024 11 citations lead
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  5. [ACCESS] F. Fernando Jurado-Lasso , Letizia Marchegiani , J. F. Jurado , Adnan M. Abu-Mahfouz and Xenofon Fafoutis , “ A survey on machine learning software-defined wireless sensor networks (ML-SDWSNS): Current status and major challenges ” in IEEE access , vol. 10 , pp. 23560–23592 , Mar 2022 62 citations lead
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  6. [SENSJ] F. Fernando Jurado-Lasso , Ken Clarke and Ampalavanapillai Nirmalathas , “ Energy-aware routing for software-defined multihop wireless sensor networks ” in IEEE Sensors Journal , vol. 21 , no. 8 , pp. 10174–10182 , Apr 2021 102 citations lead
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  7. [JSYST] F. Fernando Jurado-Lasso , Ken Clarke and Ampalavanapillai Nirmalathas , “ Performance analysis of software-defined multihop wireless sensor networks ” in IEEE Systems Journal , vol. 14 , no. 4 , pp. 4653–4662 , Dec 2020 28 citations lead
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  8. [JSYST] F. Fernando Jurado-Lasso , Ken Clarke and Ampalavanapillai Nirmalathas , “ A software-defined management system for IP-enabled WSNs ” in IEEE Systems Journal , vol. 14 , no. 2 , pp. 2335–2346 , Jun 2020 18 citations lead
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  9. [WTS'18] F. Fernando Jurado-Lasso , Ken Clarke and Ampalavanapillai Nirmalathas , “ A software-defined networking framework for IoT based on 6LoWPAN ” in 2018 Wireless Telecommunications Symposium (WTS) , pp. 1–7 , May 2018 26 citations lead
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Contents
  • Research Interests
    • Research Impact Overview
    • High Impact Publications
    • Complete Publication List

2018-2026 F. Fernando Jurado-Lasso. Except where otherwise noted, all text and images licensed under Creative Commons CC BY 4.0

ORCID 0000-0002-5005-781X PGP public key   Fingerprint:
FC00 72B7 B1ED B725 95A5 35E2 C7FF 3CFD 3347 1693

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