Alessandro Di Noia

Working on the ReUseBat project, developing intelligent robotic systems for battery disassembly based on data-driven decision-making. Focus on: Adaptive control and decision systems for robotic disassembly Sensor fusion for process monitoring (vision + force data) Detection of critical conditions and anomalies during disassembly Development of data-driven strategies for dynamic process optimization Integration of robotics, sensing, and control into a unified system Application domain: automation for circ

Developed a CO₂ cost benchmark to evaluate decarbonization projects across vehicle production. Analyzed and reconstructed Porsche Finance’s discounted CO₂ investment model. Designed a decision framework for allocating CO₂ budgets across product lines. Built a supplier CO₂ standardization model using GHG Protocol and ISO 14064/14067. Integrated life-cycle (LCA) data for materials and components.

Designed a two-stage gearbox (shafts, bearings, helical gears). Performed fatigue and static verification according to FKM guidelines. Verified bending and pitting resistance based on DIN 3990 and estimated bearing life via SKF.

Designed complete layout of a manufacturing plant for chainsaw/lawnmower assembly. Performed RPWT line balancing, takt time, OEE and warehouse sizing. Conducted ergonomics & safety assessment (NIOSH, DVR, Risk Matrix).

Investigated HEDE, HELP and AIDE mechanisms in Fe- and Al-based alloys. Analyzed diffusion, trapping and microstructural interactions. Reviewed characterization techniques (SEM/TEM, APT, TDS) and mitigation approaches.

Erasmus+ program