Daniel Gagar is an experienced Big Data architecture and analytics expert, delivering business impact with innovative solutions leveraging cloud-native architecture, artificial intelligence, IoT sensors and Digital Twins. He brings a wealth of knowledge in optimised asset management and operation with over 12 years of experience working in the aerospace and railway transport sectors. Earlier in his career Daniel established a body of work pioneering applied scientific research in IoT Edge devices based on Acoustic Emission, Guided Ultrasonic Waves and Photonic sensors. Daniel received his Ph.D. in Structural Health Management from Cranfield University.