Fernando Jurado-Lasso
  • Publications

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
309
Citations
9
h-index
9
i10-index
105
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 105
  • 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 18
  • 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 64
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Complete Publication List

  1. work-in-progress RL-ASL: A Dynamic Listening Optimization for TSCH Networks Using Reinforcement Learning
    Apr 2026 lead
    lead
    F. Fernando Jurado-Lasso, J. F. Jurado
    DOI PDF
  2. WiMob'25 Adaptive Mobility Control in LoRaWAN via Reinforcement Learning
    2025 21th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) Dec 2025
    August Falck Valentin, Simon K. Janum, F. Fernando Jurado-Lasso, Xenofon Fafoutis, Charalampos Orfanidis
    DOI PDF
  3. IOTJ LEACH-RLC: Enhancing IoT Data Transmission with Optimized Clustering and Reinforcement Learning
    IEEE Internet of Things Journal Mar 2025 lead 18 citations
    lead 18 citations
    F. Fernando Jurado-Lasso, J. F. Jurado, Xenofon Fafoutis
    DOI PDF CODE
  4. TCCN HRL-TSCH: A Hierarchical Reinforcement Learning-based TSCH Scheduler for IIoT
    IEEE Transactions on Cognitive Communications and Networking Dec 2024 lead 13 citations
    lead 13 citations
    F. Fernando Jurado-Lasso, Charalampos Orfanidis, J. F. Jurado, Xenofon Fafoutis
    DOI PDF
  5. JSYST ELISE: A Reinforcement Learning Framework to Optimize the Slotframe Size of the TSCH Protocol in IoT Networks
    IEEE Systems Journal Jun 2024 lead 14 citations
    lead 14 citations
    F. Fernando Jurado-Lasso, Mohammadreza Barzegaran, J. F. Jurado, Xenofon Fafoutis
    DOI PDF CODE
  6. ACCESS A survey on machine learning software-defined wireless sensor networks (ML-SDWSNS): Current status and major challenges
    IEEE access Mar 2022 lead 64 citations
    lead 64 citations
    F. Fernando Jurado-Lasso, Letizia Marchegiani, J. F. Jurado, Adnan M. Abu-Mahfouz, Xenofon Fafoutis
    DOI PDF
  7. SENSJ Energy-aware routing for software-defined multihop wireless sensor networks
    IEEE Sensors Journal Apr 2021 lead 105 citations
    lead 105 citations
    F. Fernando Jurado-Lasso, Ken Clarke, Ampalavanapillai Nirmalathas
    DOI PDF
  8. JSYST Performance analysis of software-defined multihop wireless sensor networks
    IEEE Systems Journal Dec 2020 lead 28 citations
    lead 28 citations
    F. Fernando Jurado-Lasso, Ken Clarke, Ampalavanapillai Nirmalathas
    DOI PDF
  9. JSYST A software-defined management system for IP-enabled WSNs
    IEEE Systems Journal Jun 2020 lead 20 citations
    lead 20 citations
    F. Fernando Jurado-Lasso, Ken Clarke, Ampalavanapillai Nirmalathas
    DOI PDF
  10. WTS'18 A software-defined networking framework for IoT based on 6LoWPAN
    2018 Wireless Telecommunications Symposium (WTS) May 2018 lead 26 citations
    lead 26 citations
    F. Fernando Jurado-Lasso, Ken Clarke, Ampalavanapillai Nirmalathas
    DOI PDF
No matching items
Contents
  • Research Impact Overview
  • High Impact Publications
  • Complete Publication List

2018-2026 F. Fernando Jurado-Lasso.
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