Dr. Zemp received his BSc in Physics from the University of Alberta in 1998, an MSc in Electrical & Computer Engineering from the University of Toronto in 2000, and a PhD in Biomedical Engineering from the University of California, Davis in 2004. He worked as a postdoctoral research associate in the Departments of Biomedical Engineering at Texas A&M University and at Washington University in St. Louis until 2007. He is currently a Professor of Electrical & Computer Engineering and an Adjunct Assistant Professor of Biomedical Engineering at the U of A.
Dr. Zemp’s research interest primarily involve novel methods of biomedical imaging, including biomedical optics and biomedical ultrasound. These new technologies aim to provide information to clinicians and biologists that are presently difficult to obtain with other imaging techniques. He is also interested in technologies for improved drug and gene delivery, and disease diagnosis using biomarkers and ultrasound. His research encompasses system design, physical modeling, micro- and nano-fabrication methods, optics and laser systems, ultrasound hardware and software development, image and signal processing and analysis, molecular biology-based methods, and nanotechnology.
Introduction to the principles of biophysical instrumentation. Various sensors are examined including strain gauges, inductive, capacitive, thermal, and piezoelectric sensors. Methods of measuring blood pressure are discussed. Origin of biopotentials; membrane and action potentials. Measurement of bioelectrical signals such as the ECG and EMG. Electrical safety, noise, impedance matching, and analog-to-digital conversion. Applications of electrodes, biochemical sensors, and lasers. Prerequisite: ECE 203 or E E 250 or consent of the Instructor. Credit may be obtained in only one of ECE 405 or EE BE 512.Fall Term 2020
Acoustics and imaging systems; acoustic wave propagation, refraction, reflection, and scattering. Rayleigh equation; transient and steady-state radiation characteristics of simple structures. Modeling, design, and characterization of transmitting and receiving transducers, including micromachined ultrasound transducers. Imaging systems; accounting for the stochastic nature of ultrasound images, image quality metrics. Selected topics may include nonlinear acoustics, Doppler estimation of blood flow, photoacoustic imaging, and medical applications.Winter Term 2021