Radar offers some unique capabilities compared to other sensing phenomenologies. For example, radar can operate at long ranges, during the day and night, and in most weather conditions. Synthetic aperture radar (SAR) enables formation of 2D and 3D images of ground scenes for a wide array of military and commercial applications. In this talk, Dr. Linda Moore will discuss current challenges in SAR signal processing, including the challenge of applying machine/deep learning techniques to SAR automatic target recognition (ATR). Measured and synthetic SAR data has been made publicly available by the U.S. Air Force Research Laboratory and can assist in developing new techniques for today's SAR signal processing challenges. Available data sets will be associated with relevant technical challenges and examples of related IEEE published work will be highlighted. Speaker(s): Dr. Linda Moore, Virtual: https://events.vtools.ieee.org/m/357145

Learn about recent developments in Phase Change Material (PCM) technology and its applications to tunable filters and reconfigurable Microwave and Millimeter-Wave devices. Speaker(s): Raafat Mansour Room: 4021, Bldg: SCDI RM 4021, Santa Clara University Frugal Innovation Lab, Sobrato Campus for Discovery and Innovation, Santa Clara, California, United States, 95053, Virtual: https://events.vtools.ieee.org/m/354279

presented by Dr David Ress, Baylor College of Medicine where he is the Technical Director of the Center for Magnetic Resonance Imaging. Abstract: The human brain exhibits a close relationship between neuronal electrical activity and blood flow. The phenomena, functional hyperemia, is the basis for functional magnetic resonance imaging (fMRI). In particular, a brief (~2 s) period of electrical activity evokes a stereotypical fMRI response that is often called the hemodynamic response function (HRF). Our laboratory has developed experimental methods, consisting of an audiovisual stimulus together with a speeded task, to evoke reliable HRFs across the majority of cerebral cortex in a single, hour-long fMRI scanning session. The resulting spatial pattern of response amplitudes is very similar across subjects. In healthy young subjects, the temporal dynamics of the HRFs vary only modestly across cortex. However, the dynamics show significant changes with aging possibly associated with cardiovascular changes. We have also developed a simple model for the HRF based on a linear network approximation to the vasculature, coupled with a 1.5D convection-diffusion treatment of oxygen transport. The model provides a quantitative interpretation of the HRF in terms of blood flow and cerebral oxygen metabolism. Our goal is to utilize these experimental and modeling methods as a means to diagnose various forms of brain pathology. Speaker(s): David Ress, Agenda: presentation: Measurements and Modeling of the Hemodynamic Response in the Human Brain speaker: Dr David Ress, Baylor College of Medicine where he is the Technical Director of the Center for Magnetic Resonance Imaging Virtual: https://events.vtools.ieee.org/m/353426