Ghouti Boukli Hacene

Ghouthi Boukli Hacene completed his PhD at IMT Atlantique's Electronics Department, where his thesis on "Processing and learning deep neural networks on chip" earned him joint first place for the best thesis in the Futur & Ruptures 2020 program from the Mines-Télécom Foundation. After studying electrical engineering at Polytechnic school in Algeria, he established himself as an expert in embedded systems and neural network optimization. His research contributions include significant work on quantization of neural networks, memory-fault robustness, and efficient hardware implementations. Currently affiliated with Sony and MILA, his work spans machine learning, embedded systems, and hardware optimization of deep neural networks. His research impact is evidenced through multiple publications on neural network pruning, quantization, and implementation on microcontrollers, while maintaining active collaboration with leading researchers in the field of efficient deep learning architectures.