Alessio Burrello

Alessio Burrello is a Researcher at the Department of Control and Computer Engineering (DAUIN), affiliated with Politecnico di Torino. His academic career is oriented toward Machine Learning, Deep Learning, and Embedded Systems.

Research Interests: Burrello focuses on AI compilers, neural network optimization for edge devices, distributed systems, and signal processing applications. His work spans interdisciplinary domains like energy management for IoT, neuromorphic computing, and biomedical monitoring.

Recent Publications highlight his contributions to TinyML, low-power microcontrollers, and heterogeneous computing. Notable works include optimizing DNN inference on multi-accelerator SoCs and deploying compact transformers for seizure detection.

Teaching: Burrello has been a course owner for 'Optimized Execution of Neural Networks at the Edge' in the Computer and Systems Engineering program since 2024/25. He also contributes to courses in Agritech Engineering and Aerospace Engineering.

Supervision: He supervises Javier Jesus Poveda Rodrigo, a PhD candidate in Artificial Intelligence, and participates in commercial research projects like Efficient Active Inference Deployment.