Glen Debard

Glen Debard is a Researcher at Mobilab & Care research group specializing in algorithm development, AI, and wearable monitoring systems for health care applications targeting both elderly and younger populations to enhance well-being and quality of life.

He holds a doctorate in Engineering Technology with a dissertation titled "Camera-based fall detection using real-life data," establishing his foundational expertise in practical health technology solutions.

Debard's research focuses on:

• Real-time fall detection systems using camera-based and sensor technologies
• Advanced image and signal processing for medical diagnostics
• Machine learning applications with real-world health datasets
• Wearable monitoring systems for continuous patient care
• Technology-driven mental health interventions
• Stress-related condition management through digital solutions

With over 40 international journal and conference publications, his work demonstrates consistent contributions to health technology innovation. He has secured funding for more than 10 research projects, primarily Flemish initiatives addressing practical health care challenges through technological integration.

As a core member of Mobilab & Care, Debard operates within a multidisciplinary team focused on translating engineering solutions into tangible improvements in care delivery and patient well-being across diverse demographic groups.