Przemyslaw Danowski

Papers

Total Citations

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About

Przemysław Danowski is a researcher at the forefront of applying deep learning to assistive technologies, with a particular focus on supporting individuals with Autism Spectrum Disorder (ASD). His work centers on developing intelligent wearable systems that can interpret complex, dynamic environments and provide real-time, adaptive support. His most-cited paper, "Deep Learning-Enabled Smart Wearables to Assist People with Autism Spectrum Disorder in Dynamic Environments" (2024), has already garnered 4 citations, signaling its early impact in the emerging field of AI-driven assistive wearables. Danowski’s contributions bridge the gap between advanced machine learning models and practical, human-centered design, aiming to enhance social interaction and environmental awareness for users with ASD. By integrating deep learning with wearable technology, he is helping to create tools that are not only responsive but also unobtrusive, offering a promising pathway toward greater independence and quality of life. His work represents a meaningful intersection of artificial intelligence, human-computer interaction, and inclusive design, positioning him as a key voice in the next generation of assistive technology research.