Marc Jayson Baucas
Postdoctoral Scholar at the School of Engineering of the University of Guelph
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Research Interests
My research focuses on IoT network applications with an emphasis on cybersecurity and decentralized architectures. My current projects include developing systems using fog and edge computing, deploying wearable devices, environmental sensors, and LLMs at the edge. I am also integrating blockchain technologies, federated learning, and end-to-end encryption into these implementations to enhance security and privacy. Recently, I’ve been exploring embedded systems and other AI models to achieve more intelligent and sustainable designs.
Short Bio
I am currently a Postdoctoral Researcher and Sessional Lecturer at the University of Guelph. I graduated with my Ph.D. degree from the University of Guelph’s College of Engineering in Guelph, Ontario, Canada, in 2023. There, 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
February 03, 2026 - Acceptance of Conference paper, “PUF-Enabled Hybrid Blockchain for Secure IoT Device Management”, at IEEE High-Performance Switching and Routing 2026 (HPSR).
January 18, 2026 - Acceptance of Conference paper, “Secure LLM Deployment for IoT-based Agricultural Decision Support with Private Blockchain and E2EE”, at IEEE International Conference on Communications 2026 (ICC).
January 18, 2026 - Acceptance of Conference paper, “Power-Efficient Edge-Based Keyword Spotting for Remote Patient Monitoring Systems”, at IEEE International Conference on Communications 2026 (ICC).
October 22, 2025 - Our journal paper, Private Blockchain-based Fog-IoT Platform for Wearables in Healthcare, was accepted at the IEEE Open Journal of Instrumentation & Measurement.
September 17, 2025 - Our conference paper, Enhancing Mobile User Experience for Individuals with Essential Tremor through Wearable Devices, was featured in an article by the University of Guelph.