My research at the Bosch Center for Artificial Intelligence focuses on network compression for deep learning and neuromorphic engineering. The high efficiency of brains sparks my interest in developing efficient solutions for complex tasks. I received my PhD in physics from the , where I studied the potential of brain-inspired computing on an analog neuromorphic system. Before joining Bosch, due to my interest in computational neuroscience and neuromorphic engineering, I worked at IBM on deep learning designed for efficient low-precision hardware.
My research interests include Deep Learning, Neuromorphic Engineering, and Spiking Neural Networks.
My Research Fields
- Deep Learning
- Neuromorphic Engineering