Yoganandh Madhuranthakam is a PhD student in the Department of Electrical and Computer Engineering at Michigan State University, East Lansing USA. He graduated from Indian Institute of Technology, Hyderabad India with a MS majoring in Mechanical Engineering. He worked as a system modelling engineer at Eaton Innovation center, Pune India with experience in automotive system level modelling for vibration and acoustic analysis. Currently he is pursuing his PhD in the area of ultrasonic NDE. His doctoral research focused on nonlinear acoustics in inhomogeneous media.

Laurence J. Jacobs is Senior Vice Provost Education and Learning at the Georgia Institute of Technology, and Professor of Civil and Environmental Engineering and Mechanical Engineering. Professor Jacobs’ research focuses on the development of quantitative methodologies for the nondestructive evaluation and life prediction of structural materials. This includes the application of nonlinear ultrasound for the characterization of fatigue, creep, stress-corrosion, thermal embrittlement and radiation damage in metals. His work in cement-based materials includes the application of linear and nonlinear ultrasonic techniques to quantify microstructure and progressive micro-cracking in concrete.

Maryam is a PhD student in the Engineering Science and Mechanics department at Pennsylvania State University. She received a bachelor’s degree and master’s degree in Mechanical Engineering from Shahid Rajaei University. Her research interests include nonlinear ultrasound, acoustics, signal processing, and machine learning.

Hamidreza is a PhD student in Engineering Science and Mechanics department at Pennsylvania State University. He received a bachelor’s degree in civil engineering from Bu-Ali Sina University and a master’s degree in civil engineering from Sharif University of Technology. His research is mainly about nonlinear ultrasound, laser ultrasound, and acoustics. He is also interested in multi-scale studies. Currently, he is trying to connect nonlinear ultrasound to material nonlinearity using micro-scale evolution.