Speaker Biography

Measurements Lecture 
To follow

Plenary Lectures

Dr Fred Cegla, NDE group, Mechanical Engineering Department, Imperial College London.

Bio
Frederic Cegla is a Reader in Mechanical Engineering in the Non-destructive Evaluation (NDE) group at Imperial College London. He was born in Freiburg im Breisgau, Germany, and received the MEng and PhD degree in Mechanical Engineering from Imperial College London, United Kingdom, in 2002 and 2006 respectively. He returned to Imperial College London after a short stay as postdoctoral research fellow at the University of Queensland in Brisbane, Australia. His current research focuses on the topics of ultrasonic sensors, ultrasonic monitoring techniques, structural health monitoring and ultrasonic manipulation of particles and bubbles. He was a founder of Permasense Ltd. a spin out company and market leader in the field of wireless ultrasonic corrosion monitoring. He has authored more than 100 publications and has several patents.

Dr Calvin M. Stewart, Department of Aerospace and Mechanical Engineering and Department of Materials Science and Engineering, Ohio State University

Bio
Calvin M. Stewart is the College of Engineering Innovation Scholar and Associate Professor in the Department of Aerospace and Mechanical Engineering and Department of Materials Science and Engineering at the Ohio State University. He obtained a BS, MS, and PhD in Mechanical Engineering at the University of Central Florida in 2008, 2009, and 2013, respectively.

Dr. Stewart directs Materials at Extremes which focuses on the advanced manufacturing, mechanical testing, and theoretical mechanics of materials subject to thermal, mechanical, and chemical extremes. Within the gamut of extremes: creep, fatigue, thermomechanical fatigue, and fracture are key focus areas.

Current research involves the low-cost additive manufacturing of superalloys and refractory alloys for extreme environments, development of accelerated, parallelized, and miniaturized testing protocols for new materials qualification, and the development of probabilistic, machine learning, and advanced models for the mechanics of material in extreme environments.