I am an engineer and researcher specializing in IoT, networked embedded systems, and machine learning for communications and networking. I was a postdoctoral researcher at DTU Compute, Technical University of Denmark. I hold a Ph.D. in Engineering and an M.Sc. in Telecommunications from The University of Melbourne, and a B.Sc. in Electronics Engineering from Universidad del Valle. My work focuses on advancing intelligent IoT ecosystems, with emphasis on resource management, TSCH-based networking, scheduling optimization, and autonomous adaptation using ML. I am passionate about building scalable, dependable systems that bridge embedded intelligence with real-world network performance. I also have extensive experience in teaching, mentoring, and supervising research projects.
F. Fernando Jurado-Lasso
Researcher and Educator Specializing in Electrical Engineering, IoT, Embedded Systems, and Machine Learning
News
- Our paper on 'Adaptive Mobility Control in LoRaWAN via Reinforcement Learning' has been published in WiMob 2025!
- Paper Accepted in IEEE Internet of Things Journal!
- HRL-TSCH Paper Accepted in IEEE Transactions on Cognitive Communications and Networking Journal!
- ELISE Paper Accepted for Publication!
- New preprint on Enhancing IoT Data Transmission with Optimized Clustering and Reinforcement Learning
- Introducing HRL-TSCH: Revolutionizing IIoT Scheduling with Hierarchical Reinforcement Learning for TSCH Networks
- Introducing ELISE: A Reinforcement Learning Framework for TSCH Protocol Optimization in IoT Networks
- Paper Accepted in IEEE Access!
- Latest Preprint in Advancements in ML-SDWSNS Research!
- New Academic Position!
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