Alexandre Daniel Batista Martins

Alexandre Daniel Batista Martins is a researcher at the Faculty of Engineering, affiliated with the Research Center for Asset Management and Systems Engineering (RCM2+). His work focuses on predictive maintenance, deep learning, and hidden Markov models for industrial systems.

• Key Research Areas: Predictive Maintenance, Deep Learning, Hidden Markov Models, Industrial Equipment, Vibration Analysis, Condition-Based Maintenance

His recent studies include vibration analysis for drying presses, sensor calibration monitoring in industrial systems, and risk assessment algorithms for industrial assets. Notably, his work integrates time-series data with deep neural networks and unsupervised learning techniques.

Scientific recognition includes the Young Engineer Innovation Award 2022. Collaborations span energy systems, pulp paper industries, and industrial asset management.