معرفی
Dr. A. Yousefzadeh is an Assistant Professor in Edge AI at the University of Twente (joined February 2024), affiliated with the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) within the Department of Computer Architecture Design and Test for Embedded Systems. He holds a Ph.D. in Neuromorphic Engineering from IMSE (Instituto de Microelectrónica de Sevilla), where his thesis focused on bio-inspired vision processing.
His research specializes in neuromorphic computing systems, with emphasis on:
- Designing ultra-low-power AI processors and event-based vision systems
- Developing hardware accelerators for spiking neural networks (SNNs)
- Edge AI deployment for sensor-based applications
- Hardware-software co-design for energy-efficient computing
His publication trends (2015-2025) reveal core foci on neuromorphic processor architectures (e.g., SENECA, NeuronFlow), event-based vision processing, hardware-aware neural network optimization, and 3D integration techniques. Recent work explores activation sparsification in transformers and hybrid analog-digital neuromorphic systems.
Prior to academia, he contributed to industry neuromorphic projects:
- Architected the NeuronFlow processor at GrAI Matter Labs (acquired by Snap)
- Led SENECA processor development at imec's Hardware Efficient AI group
