Marc Jayson Baucas
Postdoctoral Scholar at the School of Engineering of the University of Guelph
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Research Interests
My research interests are on IoT network applications with an emphasis on cybersecurity and decentralized network designs. My papers focus on implementations using wearable devices, fog and edge computing, and large language models. I also have papers incorporating blockchain technology, federated learning, and end-to-end encryption systems to reinforce data security and privacy within the IoT network. Recently, I have taken interest in combining these designs with machine learning and AI to create more intelligent and sustainable networks and systems designs.
Short Bio
I am currently a Postdoctoral Researcher at the University of Guelph. I graduated with my Ph.D. degree at the School of Enginnering of the University of Guelph, Ontario, Canada in 2023, from where I also obtained an M.A.Sc. in Engineering Systems and Computing in 2020 and a B.Eng degree in Computer Engineering in 2018.
News
September 17, 2025 - Acceptance of Journal paper, “Edge-based Platform for Large Language Models Deployment in Internet of Things Applications”, at IEEE Networking Letters
July 31, 2025 - Acceptance of Conference paper, “Edge and Private Blockchain-based Medical LLM Deployment Platform for Scalable and Secure Patient Support Systems”, at IEEE Global Communications Conference 2025 (GLOBECOM)
July 31, 2025 - Acceptance of Conference paper, “Edge IoT-based Voice-Activated Health Monitoring System”, at IEEE Global Communications Conference 2025 (GLOBECOM)
April 25, 2025 - Acceptance of Conference paper, “Enhancing Mobile User Experience for Individuals with Essential Tremor through Wearable Devices”, at IEEE International Symposium on Medical Measurements and Applications 2025 (MeMeA)
January 17, 2025 - Acceptance of Conference paper, “Private Blockchain and Federated Learning-based Edge-IoT Platform for Secure Urban Noise Monitoring”, at IEEE International Conference on Communications 2025 (ICC)