Milan Chlada
AI SpecialistBrain4Industry

He completed his postgraduate studies in Mathematical Engineering, specialization in Mathematical Modelling at the Faculty of Mathematical Engineering of the Czech Technical University. He obtained APC AT2 Certificate for non-destructive testing by acoustic emission method. Since 1998, he has been working at the Institute of Thermomechanics of the CAS, v.v.i., where he has been conducting projects and research in the field of acoustic emission, signal analysis, artificial neural networks, statistical analysis and fuzzy logic.

In the field of digitalization, he specializes in sensors and the use of artificial intelligence. In particular, monitoring the development of defects in materials using acoustic emission methods with the application of machine learning for the recognition of emission sources. In addition, data classification based on deep learning and advanced time-frequency analysis of digital signals and the use of convolutional neural networks.

Within the consortium, he is dedicated to the fields of sensorics, AI, and others.

Sensorics