PhD research on "Design of analog and mixed-signal circuits for Machine Learning and Artificial Intelligence"
Abstract: Design of analog and mixed-signal circuits for Machine Learning focuses on creating energyefficient, high-speed hardware that integrates the analog domain. Our research develops circuits enabling low-power, high-performance computation, supporting real-time learning and inference in AI applications, particularly for edge devices requiring compact, scalable, and intelligent hardware solutions.