I'm Leonardo Cecchin

Born in northern Italy on 15 June 1996, since I was a kid I loved mechanics, taking all opportunities to build something, fix machines, or disassemble them.

About Me

On October 2020, I graduated in Automation and Control Engineering at Politecnico di Milano. Currently, I am a PhD student at Corporate Research of Robert Bosch GmbH, working on Nonlinear Model Predictive Control for hydraulic systems.

"Once you stop learning, you start dying"

I am driven by my curiosity: be it in my work, my free time, my vacations, I always strive to learn something new.

I love mountain: freeride skiing, enduro mountain biking, canyoning and free climbing. I love mountain since it gives me the opportunity to relax and enjoy nature without everyday concerns.

I always feel the need of doing something, be it designing and building something or doing sports, it is just not like me to laze around.

I owe a lot to being grown in a farmhouse, where I could learn craftmanship and play around with machines and tools.

Interests

Currently working on my PhD project about Nonlinear Model Predictive Control applied to hydraulic systems

Optimal Control

During past years I developed a deep interest in optimal control. I believe that it is the perfect combination of mathemathics and engineering.

Industrial Implementation

“Theory without practice is empty”, as much as I love control theory, I also love its implementation: seeing it work and solve real challenges.

Management

In my professional life, I am focusing on improving my management skills, on a personal, project, and small teams level.

Experience

PhD student

Jul 2021 - June 2024

Corporate Research, Robert Bosch GmbH

Nonlinear Model Predictive Control for hydraulic systems: theoretical study, implementation and testing of optimal control strategies.

Research fellow

Nov 2020 - Jun 2021

Politecnico di Milano

Exploration and Mapping for autonomous vehicles: development, implementation and experimental testing of drone control algorithms. With Professor Lorenzo Fagiano.

Group project

Sep 2019 - Dec 2019

Smart Robots, e-Novia SPA

Development of 3D human pose estimation algorithm from RGB+Depthvideo stream. The approach used an optimization routine in order to filterdata from the sensor and provide reliable and precise output.