Sunday Ekpo
Papers
1
Total Citations
4
H-Index
1
About
Sunday Ekpo is a rising interdisciplinary researcher at the forefront of applying deep learning to assistive technologies, with a particular focus on supporting individuals with Autism Spectrum Disorder (ASD) in dynamic, real-world environments. Their most cited work, "Deep Learning-Enabled Smart Wearables to Assist People with Autism Spectrum Disorder in Dynamic Environments" (2024), has already garnered 4 citations, signaling early impact in a critical field. Ekpo’s major contribution lies in integrating wearable sensors with advanced neural networks to create adaptive, real-time systems that can interpret behavioral cues and environmental changes, offering personalized support for sensory regulation and social interaction. This work bridges computer vision, human-computer interaction, and clinical psychology, aiming to reduce cognitive overload for users. By targeting the intersection of AI and neurodiversity, Ekpo is helping to shape a future where smart wearables become intuitive companions for those with ASD. Their research holds promise for transforming how assistive technologies are designed, making them more responsive and less intrusive. As a scholar committed to ethical AI and inclusive design, Ekpo is a name to watch in the emerging field of deep learning for assistive health technologies.
Research Focus
Key Achievements
Top Papers
- 1