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.
News
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Mar 18, 2025Paper Accepted in IEEE Internet of Things Journal!
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May 31, 2024HRL-TSCH Paper Accepted in IEEE Transactions on Cognitive Communications and Networking Journal!
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Mar 18, 2024ELISE Paper Accepted for Publication!
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Jan 28, 2024New preprint on Enhancing IoT Data Transmission with Optimized Clustering and Reinforcement Learning
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Jan 18, 2024Introducing HRL-TSCH: Revolutionizing IIoT Scheduling with Hierarchical Reinforcement Learning for TSCH Networks
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May 31, 2023Introducing ELISE: A Reinforcement Learning Framework for TSCH Protocol Optimization in IoT Networks
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Feb 1, 2022Paper Accepted in IEEE Access!
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Oct 8, 2021Latest Preprint in Advancements in ML-SDWSNS Research!
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Oct 1, 2021New Academic Position!
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