Changda Ma

Papers

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About

Changda Ma is a pioneering researcher at the intersection of artificial intelligence, human-computer interaction, and gerontechnology, with a focused commitment to enhancing mental health outcomes for aging populations. His most influential work, "Harmonizing Emotions: An AI-Driven Sound Therapy System Design for Enhancing Mental Health of Older Adults" (2024), has already garnered 26 citations, signaling its rapid impact on the field. In this study, Ma introduces a novel, AI-powered sound therapy framework that personalizes auditory interventions to regulate emotional states in older adults, addressing a critical gap in non-pharmacological mental health support. By integrating machine learning with psychoacoustic principles, his system adapts in real-time to users’ physiological and behavioral cues, offering a scalable, accessible solution for loneliness, anxiety, and depression. This work not only advances the technical design of affective computing systems but also underscores the ethical imperative of inclusive technology for vulnerable populations. Ma’s contributions are shaping how researchers and practitioners approach digital therapeutics, bridging the gap between cutting-edge AI and compassionate, human-centered care. His research stands as a testament to the power of interdisciplinary innovation in tackling global mental health challenges.