Farzaneh Ahmadi received her M.S. degree in electrical engineering from Tarbiat Modares University (Tehran, Iran) in 2012. She is currently working towards her Ph.D. degree in Electrical and Computer Engineering (ECpE) at Iowa State University (ISU). Her research at the ISU Center for Nondestructive Evaluation (CNDE) involves developing In-line nondestructive evaluation methods for 3D printed structures, especially polymers and metals. She is a recipient of CNDE R. B. Thompson Fellowship, the 2023 American Society for Nondestructive Testing (ASNT) Student Travel Grant Award, and the 2022 ASNT Best Student Paper Award (2nd place).

Rodolfo Villamizar Mejia is an electrical engineer UIS, Colombia, Electronic Engineer UIS-Colombia, Doctor in Information Technologies, University of Girona, Spain, Full-time professor at the Universidad Industrial de Santander, Senior Researcher by Ministry of Sciences in the CEMOS research group. His main research areas are Expert Supervision and Control and Non-destructive or non-invasive Sensing.

Pusan Dhar completed his Materials and Metallurgical Engineering undergrad at Bangladesh University of Engineering and Technology. After pursuing bachelor's degree he served as a metallurgical engineer in Bangladesh Steel Re-rolling Mills for nine years. Right now he is doing his Masters in mechanical engineering at NC A&T State University. Also he is contributing to research as a Graduate Research Assistant. His main area of research is Thermographic Non-Destructive Evolution.

Aaron McCarville is a Masters student in electrical engineering at Iowa State University. He will earn his B.S. degree in electrical engineering in May of 2024. Prior to coming to Iowa State, Aaron served in the U.S. Marine Corps for 5 years as a precision measurement equipment technician. His research at ISU involves developing Microwave SAR imaging systems for NDT applications.

Prateek Neupane is a graduate student and researcher at Southern Illinois University Carbondale. He is pursuing his master’s degree in mechanical engineering with a specialization in Design and Manufacturing. His research interests include additive manufacturing, defect detection and machine learning applications in additive manufacturing. Currently, he works as a graduate research assistant at the Advanced Manufacturing and Design Lab (AMDL) at SIU Carbondale. His research focuses on utilizing non-destructive testing methods to inspect the defects on metal 3D-printed parts and use deep learning with image processing to predict the geometric deviations in those parts.

Oluwatimilehin is a 3rd year Ph.D. student in the Mechanical and Aerospace Engineering department at North Carolina State University. His research focuses on developing nondestructive techniques to detect and quantify imperceptible impact damage in Polymer Composite Materials before they become visible. He specifically aim to ratify damage dependent parameters to help characterize low velocity impact damage in Polymer composites using Near Infrared Spectroscopy (An alternative NDE Technique).

My name is Adwoa Owusu . I am a second-year Mechanical Engineering grad student at the University of Tennessee, Knoxville. I come from Ghana, West Africa. I lead NDE efforts at the Fiber and Composite Manufacturing Facility under the supervision and mentorship of Dr. Uday Vaidya who is the CTO of IACMI as well as the Joint UT_ORNL Governor Chair for Composite Innovation. I specialize in mechanical characterization as well as the use of techniques such as Phased Array Ultrasound(PAUT), Vibration Analysis, Thermography, and Acoustic Emission for defect detection in composites, metals, and additive manufactured parts.

Working in the field of NDE of railroads since the beginning of Spring 2023, I have built a set of foundations towards refining my expertise in infrared thermography (IRT) and its application in NDE. As a research assistant at the Intelligent Measurement and Evaluation Laboratory (IMEL) under the advisement of Dr. Chu, I have been heavily involved with the tests that are conducted to provide further insight regarding the dynamic application of IRT, namely line-scanning thermography (LST), for the detection of rail base defects.