I am working with Dex Media, Inc, an online marketing and advertisement company, as a Senior Data Scientist in the advanced technology group. Prior to this, I was a postdoctoral researcher in University of Pennsylvania working on analysis of brain functional and structural imaging with Prof. Ragini Verma. I am specialized in machine learning and signal processing, and have completed my PhD under supervision of Prof. Panos Papamichalis in signal processing and waveform analysis. Specialties: • Pattern recognition, machine learning, data mining • Classification and regression, dimensionality reduction and feature selection, feature ranking • Cluster analysis, data mining, source separation, graph analysis, multi-edge and multi-layer graphs • Algorithm development for data analysis, linear algebra, data fitting, big data analytics • Signal, audio, and speech processing • Image processing, computer vision • Real-time analysis and visualization • Waveform and time series analysis • System identification and adaptive filters • Statistical analysis and mathematical modeling, hypothesis testing, multivariate data analysis, principal and independent component analysis, factor analysis, non-negative matrix factorization • DSP VLSI architectures • Error control coding, wireless communications, beamforming • Programming skills in MATLAB, Python, IPython, Simulink, C/C++, Bash, R, mySQL, Awk, Sed. • Experience with NumPy, SciPy, Matplotlib, Sklearn (Scikit Learn), Pylab, Pyodbc, Statsmodels, etc. in Python • Experience with statistics, signal processing, image processing, wavelet, neural network, parallel computing, optimization, curve fitting, symbolic math, and Matlab compiler toolbox • MS-Office, Latex • Practical experience with the design tools such as HSpice, Verilog, Protel, Orcad, PSpice. • Practical experiences with Siemens PLC software and hardware setup for industrial control systems. • Experiences with Windows, Linux, and Unix operating systems

Sr. Algorithm Engineer (Sr. Data Scientist) @ Programming: Python (NumPy, SciPy, Pandas, Scikit-Learn, Matplotlib, Odbc, PySpark, etc.), Matlab, R Database: MS-SQL, Oracle SQL, Impala on Hadoop cluster Data Analysis: Excel Analytics: problem solving, mathematical and statistical modeling, machine learning, Big Data, Bayesian statistics, constrained optimization, classification, regression, clustering, feature extraction, feature selection/dimensionality reduction, confidence/prediction intervals, distributed/parallel computing OS: Linux, Unix, Windows Web: familiar with HTML, PHP, Javascript, AJAX, D3, API From August 2014 to Present (1 year 3 months) Greater Los Angeles AreaPostdoctoral Researcher @ Topics include: Machine Learning Research, Pattern Recognition, Classification and Regression, Feature Selection and Ranking, Multivariate Analysis, PCA & ICA, LDA, SVM & SVR, Random Forests, Ensemble Learning, Boosting Machines, Matrix Factorization, Statistical Analysis • Developed novel methods of dimensionality reduction and feature extraction from high dimensional data in the presence of low sample size • Developed novel methods of pattern recognition descriptive of data variations • Developed novel machine learning techniques using optimization models with interpretable constrains • Developed learning methods using graph theoretical techniques, data manifold learning, and matrix factorization for interpretable data clustering including brain DTI and MEG connectivity data • Developed methods for measuring brain functional connectivity in electroencephalography (EEG) and magnetoencephalography (MEG) recordings. • Developed linear and non-linear support vector machine (SVM) based classifiers for automatic classification of two-class and multi-class data. • Developed linear and non-linear support vector regression (SVR) based regressors to investigate the relationships between brain connectivity measures and independent clinical outcomes. From August 2011 to August 2014 (3 years 1 month) Greater Philadelphia AreaPostdoctoral Researcher @ • Developed methods for lung tumor tracking and motion prediction by using MRI imaging of the implanted fiducials around a lung tumor. • Performed quality assurance (QA) of radiation therapy machines including stereotactic body radiation therapy (SBRT) and intensity modulated ration therapy (IMRT) machines. From May 2011 to August 2011 (4 months) Dallas/Fort Worth AreaTeaching Assistant @ • Teaching the “Design and Analysis of Signals and Systems Using MATLAB” laboratory. • Teaching the “Digital Computer Logic” laboratory. From September 2006 to May 2011 (4 years 9 months) Dallas/Fort Worth AreaGraduate Intern @ Research in unsupervised clustering, machine learning, dimensionality reduction, manifold learning From May 2007 to August 2010 (3 years 4 months) Dallas/Fort Worth AreaProject leader @ • Development of a phoneme-based telephony speech recognition system • Managed a group of four engineers with task assignments, performance evaluation, and helping them approach the solutions. • Responsible for presentations/reports about the progresses made in the project. From September 2004 to August 2005 (1 year)

Ph.D., Electrical Engineering - Signal Processing @ Southern Methodist University, USA From 2006 to 2010 M.S., Electrical Engineering @ Mazandaran University of Sciences and TechnologyB.S., Electrical Engineering @ Sharif University of Technology From 1997 to 2002 Yasser Ghanbari is skilled in: Algorithm Development, Signal Processing, Multivariate Analysis, Pattern Recognition, Speech Processing, Digital Image Processing, Matlab, Medical Research, Machine Learning, Computational..., Image Processing, R, MySQL, Bash, Unix, C++, Computer Vision, Algorithms, Simulations, Labview, Digital Signal..., Programming, Biomedical Engineering, Applied Mathematics, Medical Imaging, LaTeX, Optimization, Mathematical Modeling, Simulink, Pspice, Statistics, Digital Signal..., Image Analysis, Numerical Analysis, Artificial Intelligence, Python, Neural Networks, Scientific Computing, Computer Science, Data Mining, Linux, Neuroimaging, Time Series Analysis, Data Analysis, Parallel Computing, Statistical Signal..., Algorithm Design, Statistical Modeling, Numerical Simulation, Bioinformatics