Dr. Spies received his PhD from the J. Mike Walker ’66 Department Mechanical Engineering at Texas A&M University. He earned his B.S. in Mechanical Engineering from Universidad Tecnologica Nacional, FRSF, Argentina. He worked for three years as an undergraduate student researcher at the Fluid Dynamics lab (FLOW) in the ME department at UTN-FRSF. He was involved in the study, design, and manufacturing of vertical-axis wind turbines. He also holds a Master of Science degree in Mechanical Engineering from Virginia Tech. As part of his work, he developed a Machine-learning-based tool to predict Tire-Pavement Interaction Noise (TPIN) using both Tire and Pavement parameters. His research focuses on the physics behind the flow-induced noise phenomenon in head wearables, consumer electronics, and hearing aid devices. This work was funded Meta.
Sourabh Sangle
Dr. Sangle received his PhD from the J. Mike Walker ’66 Department Mechanical Engineering at Texas A&M University. He holds a bachelor’s degree from Birla Institute of Technology & Science (BITS) Pilani, India. His research focused on Cyber-Physical System integrity and security with electro-mechanical impedance. His work titled “High-frequency Modal Synthesis for Impedance Measurements”, showcases the implementation of electromechanical impedance measurements for unique part identification and physically informed structural health monitoring. His work was funded by the National Science Foundation.
Jeriel Jammullamudy
Jeriel Jammullamudy was a M.S. student in the Mechanical Engineering Department at Texas A&M University. He earned his B.S. in Mechanical Engineering from Texas A&M University and began working at Radiance Technologies, Huntsville, AL specializing in high energy laser (HEL) testing. During his time in Huntsville, AL he developed specialized techniques to characterize beam wavefront in lab settings and conducted down-range testing of HEL to determine effectiveness. His research focused on spatially resolved acoustic spectroscopy (SRAS) and its integrability with additive manufacturing processes.
