KHALID GOUTAI

I am a State Engineer in Electromechanics and Industrial Maintenance with practical and research experience in preventive and predictive maintenance for distributed assets. I design coursework and lead hands-on labs while pursuing a PhD focused on maintenance decision frameworks.

My PhD work fuses AI-driven reliability and remaining useful life predictions with optimization-based planning to improve availability, reduce risk, and minimize cost and travel for mission-oriented fleet systems. I have built models and frameworks that integrate regression, classification, time-series forecasting, and sequence models such as LSTM/GRU/Transformer.

In industry projects I completed end-to-end preventive maintenance plans, performed FMECA, implemented spare parts codification, and developed a work-order and inventory tracking application. I also designed and sized a prototype autonomous system for reel/spool sorting and material handling during an internship.

I blend practical mechatronics and controls experience (PLCs, EtherCAT/CANopen/OPC, real-time loops) with simulation and optimization tools (SolidWorks, CATIA, MATLAB/Simulink, MILP/MINLP, metaheuristics) to deliver robust, deployable maintenance and automation solutions.