Adrian Rendon Nava

Dr. Adrian Rendon Nava is a Researcher at Robert Gordon University's School of Computing, Engineering & Technology, affiliated with the Robotics & Autonomous Systems Research Group and Environment, Energy & Sustainability research theme. His work bridges electronics engineering, machine learning, and industrial applications through active research projects and specialized teaching.

His academic credentials include:

• Bachelor in Electronics Engineering with Computing Major (Autonomous Metropolitan University, 2000)
• MSc in Microelectronics (National Polytechnic Institute, 2005-2007)
• PhD in Communications and Electronics (National Polytechnic Institute, 2014)

Dr. Rendon Nava's research centers on Machine Learning and AI applications for IoT and Industry 4.0 systems, with specialized expertise in Deep Learning and One-shot Learning for cognitive neuroscience. His technical foundation in Microelectronics VLSI Circuit Design and embedded systems enables practical implementations in robotics and autonomous systems. Current work focuses on developing a novel composite inspection probe prototype with integrated data-logging capabilities.

His 2025 publication on Jabi Lake water quality demonstrates interdisciplinary collaboration, applying chemometric analysis to environmental monitoring while maintaining his core focus on electronics and AI-driven solutions. This reflects his approach of leveraging computational tools for real-world engineering challenges.

Dr. Rendon Nava actively supervises PhD candidates and teaches core engineering modules including Mechatronics, Metrology, and Analogue Electronics. His supervision emphasizes practical electronics implementation and AI integration in industrial systems.

Within the Robotics & Autonomous Systems Research Group, he contributes to projects advancing sensor technologies and autonomous inspection systems, particularly through his leadership in composite material assessment instrumentation development.