ray maleh

Developed and back tested equity trading algorithms that exploit human psychological factors (e.g., fear, greed, herd following, etc.) in order to realize profits. Generated a website where subscribers could access buy/sell signals produced by the algorithms.

Designed MPEG video blockiness/blurriness detection algorithms based on factors related to the human visual system. Implemented techniques in C and tested on various video samples.

Develop and implement fast algorithms for the execution of large scale primary insurance and reinsurance client portfolios for use on a distributed peril simulation engine. Manage a small team of software engineers and financial modelers.

* Developed and implemented in MATLAB new medical image reconstruction algorithms for novel MRI imaging systems which obtain partial spectral or Fourier information in order to significantly reduce patient scan times. * Demonstrated how greedy algorithms can be used to quickly and accurately solve sparse image reconstruction problems traditionally solved using total variation minimization techniques. * Tested software on synthetic and real medical images. Presented work at scientific conferences and published in peer-reviewed conferences.

* Served as the primary instructor of various graduate level computer science and computational science courses including Java Programming, Data Mining/Advanced Databases, Neural Networks, Algorithm Design, and Operating Systems. * Exhibited leadership by mentoring several senior capstone project teams. Supervised a master’s student’s thesis related to robot path planning algorithms.

* Developed DSP algorithms and systems for SIGINT and IMINT systems. * Prepared various white papers/proposals for contract research business development. Represented the company at various conferences and workshops.

Minor: Computer Engineering Significant Coursework: Communication Systems, Wireless Communications, Digital Signal Processing, Image Processing and Computer Vision, Signals and Systems, Microprocessors, Digital Logic Design, Electronic Circuits (three semesters), Transport Phenomena (semi-conductors), Data Structures and Algorithms.

Dissertation: Sparse Approximation Methods for Medical Imaging Advisers: Anna C. Gilbert (Mathematics) and Jeffrey A. Fessler (Electrical Engineering) Significant Coursework: Fourier and Wavelet Analysis, Numerical Methods for Linear Algebra and Partial Differential Equations, Coding and Information Theory, Fractional Brownian Motions, Measure Theoretic Probability, Statistical Signal Processing, Functional Analysis, Combinatorics, Differential Geometry, Topology, Graph Theory, Abstract Algebra.