Algorithm engineer, image processing, imaging and signal processing expert. Over 6 years of experience in developing image acquisition, reconstruction and post-processing algorithms for applications in Magnetic Resonance Imaging (MRI) and computational photography. My resume is here: http://web.stanford.edu/~rahimi/resume.pdf Matlab, C, C++ (proficient) Python (familiar)

Research Scientist @ Member of the Computational Imaging team Reimagining the art and science of photography with a team of creative technologists. From June 2015 to Present (5 months) Postdoctoral Scholar @ Worked on developing a robust algorithm for motion-correction in diffusion weighted imaging of human heart. Diffusion weighted imaging probes the micro-molecular brownian motion of water molecules as a surrogate for tissue's health. I am working on a method to separate contributions from this micro-molecular motion from contributions induced by bulk cardiac and breathing motion by looking at signal phase. As part of this work, I developed an algorithm to automatically find the most quiescent portion of the cardiac cycle using an image entropy metric. Worked on an algorithm to visualize and quantify intracranial pressure by combining Eulerian motion amplification with cardiac-gated balanced steady state MRI. (in review for Nature Medicine) From June 2014 to June 2015 (1 year 1 month) Stanford, CAResearch Assistant @ Various projects on image acquisition, image reconstruction and image post-processing algorithms. I developed a method to rapidly image contrast changes in human liver using a combination of pseudo-random Fourier space sub-sampling and a novel, efficient parallel imaging strategy. This method reduced imaging time from 23 seconds to 4-6 seconds, enabling acquisition of a video series compared to conventional still-frame imaging. Showed improved diagnostic confidence compared to conventional methods in a group of patients with liver disease. From September 2008 to June 2014 (5 years 10 months) Madison, Wisconsin Area

PhD, Biomedical Engineering @ University of Wisconsin-Madison From 2008 to 2014 MSc., Electrical Engineering / Biomedical Engineering @ University of Wisconsin-Madison From 2008 to 2010 BSc., Electrical Engineering @ University of Tehran From 2004 to 2008 Allame Helli From 2000 to 2004 Mahdi Rahimi is skilled in: MRI, Image Processing, Signal Processing, Computational..., C++, Algorithms, Matlab, Medical Imaging, LaTeX, Simulations, C, Python, Biomedical Engineering, Mathematica, Experimentation, Computer Vision, Machine Learning, Pulse Programming, Magnetic Resonance, Medical Devices, Data Analysis, MRI Software, Digital Signal..., R, Image Analysis