- Development, implementation and testing of state machines- Statistical analysis on sensor-to-sensor variability and related control perfomance loss- Working on actuators design guides (technical documentation)- Design of optimization schemes for optimal signal filtering and parameters tuning on higly nonlinear systems (quadratic programming for reduced systems, gradient descent methods, genetic algorithm)- Development of data visualization tools (Python)- Clusterization of SKUs and PNs database by defining proper similarity functions (hierachical clustering on Python)- Development of innovative solutions and submission of trade secrets

- Estimation schemes simulation and performance analysis (Kalman filter, particle filter)- Data clusterization and relative algorithms development (k-means, hierarchical clustering)- Testing and debugging of Model Based Design projects (Simulink, Stateflow)

- Requirements decomposition starting from stakeholder needs- Definition of verification methods- Management of DFMEA, DVP&R and technical drawings - Models development and system identification activities- Predictive control laws simulation and implementation- Training release on lumped parameter design approach- Components management: alignments with suppliers for actuators design, management of orders for prototyping, performance analysis of actuators

- Prototypes development- Laboratory test campaigns and experimental data acquisition- Data analysis and sensors characterization (data fitting, logistic regression)- Modelling and simulation of dynamic systems (MATLAB, Simulink)- Implementation, testing and validation of real-time control algorithms on prototypes (e.g PID, MPC, working with Lua programming language)