Mario Mata

Mario Mata is a Lecturer in the Computing department at Glasgow Caledonian University. His research focuses on mobile robotics, computer vision, and autonomous systems, with applications in aerospace inspection, smart home networks, and industrial automation. He has contributed to projects such as the Integration and Evaluation of LoRa Sensor Technology for a Flood Early Warning System (2017–2018), demonstrating expertise in sensor technology and environmental monitoring. His work aligns with UN Sustainable Development Goals related to innovation and infrastructure.

Research interests include advanced robotics for manufacturing, energy-efficient smart environments, and educational tools for robotics. Key projects involve developing adaptive robotic systems for aerospace components, feasibility studies for SME robotics implementation, and simulation-based learning modules using ROS/Gazebo. His publications span topics from actuator inspection to traffic violation detection, showcasing a blend of theoretical and applied research.

Awards: None explicitly stated. Grants include a £300k EPSRC grant for flood sensor systems. He has supervised 2 research works (details unspecified). Collaborations include work with universities and industry partners on robotics and sensor technology. No labs or teams explicitly named, but involvement with interdisciplinary engineering teams is evident.