Fernando Jurado-Lasso
  • Publications
  • Software
F. Fernando Jurado-Lasso
Engineer specializing in IoT, Networked Embedded Systems, and Machine Learning for communications and networking
Email Google Scholar GitHub LinkedIn ORCID ResearchGate

Research interests

I am passionate about exploring the dynamic realm where Software-Defined Wireless Sensor Networks (SDWSNs) intersect with the power of Machine Learning (ML). This unique fusion of technologies serves as the focal point of my research endeavors. My goal is to address the burgeoning challenges posed by the ever-increasing number of Internet of Things (IoT) devices and applications. My research is dedicated to overcoming the technological barriers associated with resource management and reconfiguration complexities prevalent in current IoT applications. Delving into the intricacies of networked embedded systems, SDWSNs, ML, and IoT protocols and applications.

Beyond this, my curiosity extends to the application of ML/AI for communications and networking. I am enthusiastic about harnessing the potential of these cutting-edge technologies to enhance the efficiency and intelligence of communication systems.

My research output consists of 8 publications in 6 different sources, including 7 Journal Article, 1 Conference Paper. I am first author in 8 of them.

Journal Article

    • Journal
    • In Press
    LEACH-RLC: Enhancing IoT Data Transmission with Optimized Clustering and Reinforcement Learning
    • F. F. Jurado-Lasso
    • J. F. Jurado
    • X. Fafoutis
    • IEEE Internet of Things Journal
      , March 2025
    • DOI
    • PDF
    • Code
    • Journal
    HRL-TSCH: A Hierarchical Reinforcement Learning-based TSCH Scheduler for IIoT
    • F. F. Jurado-Lasso
    • C. Orfanidis
    • J. F. Jurado
    • X. Fafoutis
    • IEEE Transactions on Cognitive Communications and Networking
      , December 2024
    • DOI
    • PDF
    • Journal
    ELISE: A Reinforcement Learning Framework to Optimize the Slotframe Size of the TSCH Protocol in IoT Networks
    • F. F. Jurado-Lasso
    • M. Barzegaran
    • J. F. Jurado
    • X. Fafoutis
    • IEEE Systems Journal
      , June 2024
    • DOI
    • PDF
    • Code
    • Slides
    • Docs
    • Demo
    • Journal
    A survey on machine learning software-defined wireless sensor networks (ML-SDWSNS): Current status and major challenges
    • F. F. Jurado-Lasso
    • L. Marchegiani
    • J. F. Jurado
    • A. M. Abu-Mahfouz
    • X. Fafoutis
    • IEEE Access
      , March 2022
    • DOI
    • PDF
    • Journal
    Energy-aware routing for software-defined multihop wireless sensor networks
    • F. F. Jurado-Lasso
    • K. Clarke
    • A. N. Cadavid
    • A. Nirmalathas
    • IEEE Sensors Journal
      , April 2021
    • DOI
    • PDF
    • Journal
    Performance analysis of software-defined multihop wireless sensor networks
    • F. F. Jurado-Lasso
    • K. Clarke
    • A. Nirmalathas
    • IEEE Systems Journal
      , December 2020
    • DOI
    • PDF
    • Journal
    A software-defined management system for IP-enabled WSNs
    • F. F. Jurado-Lasso
    • K. Clarke
    • A. Nirmalathas
    • IEEE Systems Journal
      , June 2020
    • DOI
    • PDF
No matching items

Conference Paper

    • Conference
    A software-defined networking framework for IoT based on 6LoWPAN
    • F. F. Jurado-Lasso
    • K. Clarke
    • A. Nirmalathas
    • 2018 Wireless Telecommunications Symposium (WTS)
      , May 2018
    • DOI
    • PDF
No matching items
Contents
  • Research interests
  • Journal Article
  • Conference Paper

2018-2025 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

Cookie Preferences

Made with Quarto