Micha Feigin-Almon

I am currently a research scientist at the MIT Department of Mechanical Engineering as well as the Institute for Medical Engineering and Science

My main research passion lies in application of inverse problems to medical ultrasound, specifically in the fields of ultrasound tomography and elastography. My research deals among other things with cancer detection and diagnosis, elastography as well as ultrasound imaging in cases where the soft tissue assumption fails, such as in the presence of bone and muscle.

I aim to bring algorithms and technologies used in seismic imaging and oil and gas research to advance and benefit medical ultrasound.

I also dabble with related signal processing and imaging problems including time resolved and 3D imaging, RADAR and SONAR, mostly in the context of low cost medical applications and human computer interaction.

I received my Ph.D form the School of Applied Mathematics at the Tel Aviv university, under the supervision of Prof. Nir Sochen working on inverse problems in medical imaging. My research included models for DIC microscopy, anisotropic denoising and deblurring and accelerated methods for smart random subsampling for dictionary learning and compressed sensing.

In addition to my academic background I also have extensive experience in the industry, where I’ve worked for several years as chief architect and optimization ninja providing consultation, training and outsourcing for GPU computing. Before that I worked with RSIP Vision consulting and implementing algorithms in machine vision and image processing for medical imaging and industrial inspection.