Gan Zengkang
Papers
2
Total Citations
20
H-Index
2
About
Dr. Gan Zengkang is a pioneering researcher at the intersection of artificial intelligence, affective computing, and robotics, with a primary focus on advancing human–robot interaction (HRI) through sophisticated emotion recognition systems. His major contributions lie in developing deep ensemble classification frameworks that enable robots to accurately perceive and respond to human emotional states, a critical capability for next-generation intelligent systems. His most cited work, "A Novel Emotion Recognition System for Human–Robot Interaction (HRI) Using Deep Ensemble Classification" (2025, 16 citations), establishes a foundational methodology for real-time emotion classification from digital inputs, with direct applications spanning intelligent customer service, adaptive system training, and mental health monitoring. Building on this, his research in "Neural Network-Based Emotion Classification in Medical Robotics" (2025, 4 citations) pioneers the integration of emotion-aware AI into healthcare robotics, specifically targeting patient–robot interaction in hospital environments. This work anticipates a future where mobile healthcare robots can classify patient emotions to enhance care quality and therapeutic outcomes. Dr. Gan’s research is notable for its practical orientation, bridging cutting-edge deep learning with tangible improvements in assistive and medical robotics, positioning him as an emerging leader in emotionally intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
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