Qiuzhen Wan
Papers
2
Total Citations
15
H-Index
2
About
Dr. Qiuzhen Wan is a pioneering researcher at the intersection of neuromorphic engineering and emotional computing, with a primary focus on designing bio-inspired memristive circuits that emulate complex brain functions. Her most significant contributions lie in developing self-repairing neural network circuits that model the brain's emotional regulation mechanisms, particularly the inhibition of negative emotions through prefrontal cortex, hippocampus, and amygdala interactions. In her landmark 2024 study, "The design of self-healing memristive network circuit based on VTA DA neurons and its application," Dr. Wan achieved 8 citations for creating circuits that mimic dopamine neuron behavior with inherent fault tolerance. Her equally impactful work, "Memristive Neural Network Circuit of Negative Emotion Inhibition With Self‐Repair and Memory" (7 citations), introduces circuits capable of both emotional processing and memory storage while autonomously repairing damage—a breakthrough for resilient neuromorphic systems. These innovations bridge neuroscience and hardware design, offering potential applications in emotionally intelligent robotics and brain-machine interfaces. Dr. Wan's research advances the frontier of self-healing electronic systems, demonstrating how memristors can replicate the brain's remarkable plasticity and recovery mechanisms.
Research Focus
Key Achievements
Top Papers
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- 2