This class will demonstrate various imaging modalities, including specialized signal processing techniques, and underlying physical mechanisms. The primary modalities under study are: X-ray, CT, MRI, and Ultrasound

This class provided a deep dive on digital signal processing foundations, applications, and computational strategies. We started by unpacking a generalized extension of the Fourier Transform as a basis expansion. Then applied this Linear Algebra based reframing to various problems including Spectral Decomposition, Linear Inverse and Least Squares problems (such as deconvolution, Gradient Descent, and Kalman Filtering).

This class provides guidance on the entire engineering design process, from ideation, to planning, to implementation. Our group's focus is to develop low cost bone conduction hearing aids for use in low to middle income regions of the world.

This laboratory focused on development and prototyping of practical analog circuits such as:

• Transconductance Amplifiers

• Differential Amplifiers

• Current Sources

• Feedback Amplifiers

• The Operational Amplifier

This class taught advanced C++ programming techniques such as:

• Memory management for dynamic datasets

• Parallel code execution using threads, MPI, and CUDA (Nvidia)

• Execution and development on remote clusters

This class taught practical implementation and development of analog support circuitry for sensors such as:

• Inerital Measurement Units (IMUs)

• Skin-mounted microphones

• Electrocardiogram (ECG) and electromyogram (EMG) sensors