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Sumedha Singla Https://www.linkedin.com/in/sumedhasingla 310

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SUMEDHA SINGLA https://www.linkedin.com/in/sumedhasingla http://www.cs.utah.edu/~ssingla/ 310-483-2335 [email protected] Summary 2+ years of research experience in medical related projects. Interests: Machine Learning, Data Analytics, Image Processing Collaborative with multi-cultural, technically diverse, fast paced, and globally dispersed teams. Education MS Computer Science August 2015 University of Utah GPA 3.97 Advisor: Dr. Jeffery A. Weiss Graduate Coursework: Machine Learning, Data Mining, Big Data Systems, Advanced Algorithms, Advance Image Processing, Computer Vision, Probabilistic Modeling, Operating System B.E Computer Science Thapar University, Patiala India GPA 8.17/10 (top 10%) Undergraduate Coursework: Numerical methods, Database Systems, July 2007 – July 2011 Comp. Architecture, Calculus III Technical Skills Programming Languages: C++, Python, R, Matlab, Java, PHP, JS, Latex Database: MapReduce, Hadoop, PL/SQL, Oracle, SAS, ETL Tools Software: Visual Studio, Microsoft SQL server, Eclipse, Rstudio, WAMP Academic Machine Learning  Proposed kernel selection process in Support Vector Machine classification for dataset with high dimensionality. Dataset: f-MRI of the brain of 58 subjects with ASD (Autism Spectrum Disorder)  Build models based on Logistic Regression and Regularized Neural Networks to recognize handwritten digits. Dataset: MNIST database of handwritten digits.  Build recommendation system for Netflix dataset using matrix factorization methods: UV decomposition, SVD Image Processing  Image segmentation methods based on snakes, levelsets and graph cuts.  Building image mosaic using image registration techniques and Fourier transforms.  Detecting edges in an image using Canny’s edge detector and Hough transformation.  Image denoising methods based on total variation energy functional and anisotropic diffusion. Computer Vision  Reconstructing surface using photometric sterio.  Recover depth from a stereo pair of images using the concept of epipolar geometry.  Detecting motion and its direction and magnitude using Optical flow in a real time video frame. Work Experience R&D Engineer Aug 2015 - Present Kitware Inc  Developing an automated scoring system of collaterals for quantitative assessment of acute stroke.  Contributing to the open source toolkit for the segmentation and registration of tubes and surfaces in images. Research Assistant Sept 2013 – Aug 2015 Musculoskeletal research Laboratory  Designing pipeline to integrate Finite Element solver and Statistical Shape Modelling (SSM) tool.  Implemented computational geometry algorithms for mesh processing methods including Mesh decimation, smoothing, refinement and mesh registeration. Extended support for VTK, PLY, STL file formats. Software Engineer July 2011 – July 2013 Adobe Systems Pvt Ltd  Contributed in testing and implementation of Print feature in Acrobat and Reader.  Co-developed an online project progress tracking tool. Designed and implemented in C#, ASP.net, JS  Delivered 4 core products under Print and Publishing business unit in 4 major languages. Certifications Adobe Certified Expert for Adobe Captivate 5.5 Certified Scrum Master by Scrum Alliance Coursera courses: Machine learning, practical machine learning Workshop CRA-Women Grad Cohort Workshop Presented a poster on “Integration of SSM and Finite Element Analysis for the Study of Hip Pathology”. Image-Based Biomedical Modeling Workshop TA for geometry processing and numerical methods labs.