Bio
Mattia Vezzoli is a Ph.D. candidate at Yale University, conducting research in the lab of Professor Rajit Manohar in the department of Electrical Engineering. His work focuses on Asynchronous VLSI circuit design, with a particular emphasis on developing an asynchronous deep learning accelerator optimized for unstructured sparse convolutional neural networks in energy constrained applications. By leveraging asynchronous electronics, he aims to achieve significant breakthroughs in the field of artificial intelligence, where computational speed and energy efficiency are crucial.
Before joining the Async VLSI lab, Mattia contributed to the realization of the first silicon-integrated Ti:Sa narrow linewidth laser in Professor Hong Tang’s lab at Yale.
Mattia earned his B.S. and M.S. in Electrical Engineering from the Universita’ degli studi di Brescia, followed by a M.S. and M.Phil. in Electrical Engineering at Yale University.
Publications
• Designing an Energy-Efficient Fully-Asynchronous Deep Learning Convolution Engine
• Photonic-circuit-integrated titanium: sapphire laser
• Narrow-linewidth GaN lasers based on an AlN photonic integrated circuit
• Wafer-Scale Fabrication of a Titanium-Sapphire Laser Substrate by Thermal Diffusion
• Wafer-scale thermal diffusion of titanium into sapphire substrate
Mattia Vezzoli Art 