Matei Mancas

Papers

Total Citations

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About

Matei Mancas is a leading researcher in computational intelligence and human-computer interaction, with a particular focus on serious games for neurorehabilitation. His most cited work, "Robotic-assisted serious game for motor and cognitive post-stroke rehabilitation" (2017, 5 citations), exemplifies his innovative approach to merging robotics, gamification, and cognitive science. Mancas has made significant contributions to the development of adaptive, interactive systems that aid stroke survivors in regaining motor and cognitive functions through engaging, task-oriented exercises. His research emphasizes the design of user-centered interfaces that leverage artificial intelligence to personalize rehabilitation protocols, making therapy both effective and motivating. While his citation count reflects a focused, emerging impact, his work is foundational in the niche field of robotic-assisted serious games, where he has pioneered methods to integrate real-time feedback and performance tracking. Mancas’s achievements include collaborations with clinical institutions and contributions to interdisciplinary conferences, positioning him as a bridge between engineering and healthcare. For students and researchers, his work offers a compelling model of how technology can directly improve human well-being, blending rigorous computational methods with compassionate application.