Michail Skiadopoulos is a third-year Ph.D. student in the department of Engineering Science and Mechanics (ESM) at Pennsylvania State University. After obtaining his M.Eng. in mechanical engineering from the National Technical University of Athens (N.T.U.A), he joined the research lab of Dr. Parisa Shokouhi, and was introduced to the application of ultrasonic testing for flaw detection. His current research focuses on the porosity quantification and imaging of additively manufactured metals by ultrasonic pulse-echo and phased array ultrasonic testing combined with machine learning modeling. Besides, Michail creates finite elements models for informing his experimental results and training the machine learning models.

Milad Mehrkash received B.S. and M.S. degrees in civil engineering from Isfahan University of Technology, Iran in 2009 and 2012, respectively. He is currently pursuing a Ph.D. degree in civil engineering at the University of New Hampshire. His research interests include structural health monitoring, finite element model updating, structural condition assessment, and machine learning.

Dr. Arvin Ebrahimkhanlou is an Assistant Professor in the Civil, Architectural, and Environmental Engineering (CAEE) Department at Drexel University with a courtesy appointment in the Mechanical Engineering and Mechanics (MEM) Department. He received his Ph.D. from The University of Texas at Austin, where he also completed his postdoc. Dr. Arvin’s research is in the area of robotic-based and Artificial Intelligence (AI)-based assessment of civil infrastructures as well as mechanical and aerospace structures. Dr. Arvin is specialized in artificial intelligence, machine learning, data analysis, signal processing, robotics, uncertainty quantification, computer vision, and wave propagation.