Welcome to Daniele Martinelli

With a strong background in Control and a keen interest in machine-learning and distributed dynamical systems, Daniele brings a wealth of knowledge and enthusiasm to the group.

Under the supervision of Dr. Luca Furieri and Prof. Giancarlo Ferrari Trecate, Daniele will work to establish innovative connections between keystone paradigms in control theory for distributed and large-scale systems — such as port-Hamiltonian (PH) system theory and MPC — and fundamental tools of ML — such as Deep Neural Networks (DNNs), neural ordinary differential equations, and regret minimization in Reinforcement Learning (RL).

We look forward to seeing the exciting contributions that Daniele will make to the field of learning systems and distributed dynamical systems. We wish Daniele all the best in his academic journey and are confident that he will thrive in the vibrant and dynamic research environment of the DECODE group.