Electrical Engineering Sales

Parnian Zargham

Phone: 650-***-**** Email: **************@*****.*** LinkedIn Profile: http://www.linkedin.com/in/parnianzargham SUMMARY OF QUALIFICATIONS

● Programming Languages: Python, C/C++, R, MATLAB, SQL, Hive

● Libraries: Theano, Caffe, TensorFlow

● Operating Systems: Macintosh, Linux,Windows

● Version Controlling Systems: Git

● Other Skills: Photography, Pottery, Painting

EDUCATION

Stanford University, CA

PhD in Electrical Engineering June 2012-June 2016

MS in Electrical Engineering Sept 2010-June 2012

Relevant Coursework: Machine learning, Convex Optimization, Statistical Signal Processing, Medical Image Processing, Digital Image Processing, Designing RF Pulses, Computational Methods for Biomedical Imaging and Scientific Computing in Python.

PROFESSIONAL EXPERIENCE

Image/Data Scientist, Ionpath, Menlo Park, CA Oct 2016-Present

● Collaborating with an interdisciplinary team to improve scientific analysis pipeline.

● Designing, developing, and testing statistical analysis methods for multiplex ion beam imaging data including but not limited to noise reduction, image segmentation, cell type assignment, and extraction of tissue-specific features.

● Designing and implementation of unsupervised learning models to detect and remove false positive signals. Research Assistant, Magnetic Resonance Systems Research Lab, Stanford, CA June 2011-June 2016

● Developed a novel method to rapidly estimate MR transmit magnetic field by tracking markers placed on the coils.

● Implemented computer vision techniques to co-register the magnetic fields from pre-computed library to the physical system.

● Worked on entire MR imaging pipeline: data acquisition, analysis and reconstruction.

● Demonstrated use of Approximate Message Passing Algorithm for Compressed Sensing in Rapid MRI. Research Assistant, Biomedical Informatics Research Lab, Southern Illinois University, IL June 2009-Sept 2009

● Applied image processing algorithms and statistical analysis on MR images for brain tumor detection. RELEVANT PROJECTS

Next Word Prediction

● Implemented N-grams and Stupid Back-Off models in R to predict the next word using SwiftKey dataset.

● Designed a Shiny application that dynamically predicts the next word based on the incomplete phrase entered by the user. Electronic Devices Sales Prediction Using Social Media Sentiment Analysis

● Developed a method to predict sales of electronic devices before their release based on the sentiment of the comments on Twitter.

● Implemented a machine learning framework based on Recursive Auto-Encoders (RAE) for prediction of sentiment distribution . Content-Aware Image Resizing

● Implemented and optimized content-aware image resizing algorithm.

● Designed an interactive graphical user interface to test the implemented features for image resizing. Iterative 3D Tailored RF Pulse Design for Compensating B1 inhomogeneity

● Designed RF pulse to optimize signal-to-noise ratio of MR images. Parnian Zargham

Phone: 650-***-**** Email: **************@*****.*** LinkedIn Profile: http://www.linkedin.com/in/parnianzargham

● Worked on digital acquisition and processing.

PUBLICATIONS

● Zarghamravanbakhsh P, Pauly J, Scott G. Visualization and localization of implanted devices with parallel transmit array using reversed RF polarization. 24th Annual Meeting of ISMRM, Singapore, 2016.

● Zarghamravanbakhsh P, Pauly J, Scott G. Fast Multi-channel transmit Array Calibration Using Coil locators. 24th Annual Meeting of ISMRM, Singapore, 2016. (Won magna cum laude)

● Zarghamravanbakhsh P, Pauly J, Scott G. Fast 3D Algorithm for Coil Localization as an Aid in Estimation of B1 Distribution. In Proceedings of the 23rd Annual Meeting of ISMRM, Toronto, Ontario, Canada, 2015. p. 2378.

● Zarghamravanbakhsh P, Ellenor C, Pauly J, Scott G. Toward B1 mapping using coil locators. In Proceedings of the 22nd Annual Meeting of ISMRM, Milan, Italy, 2014. p.1457. CERTIFICATE

● Data Science Specialization (Coursera Course Certificates) VOLUNTEER WORK

● Elected Member of Board of Director, Persian Student Association, Stanford, CA (300 members)

● President of Movie Group, Persian Student Association, Stanford, CA

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