RAYAN GARGEES

Columbia MO, ***** 573-***-**** addg6j@r.postjobfree.com ((www.linkedin.com/in/rayan-gargees-168966123)) M A C H I N E L E A R N I N G D A T A A N A L Y S I S C O M P U T E R E N G I N E E R I N G A highly skilled professional who is currently completing a Ph.D. in Electrical Engineering and Computer Science. Possesses a solid understanding of programming, machine learning, data acquisition and analysis, and image and signal processing. Demonstrated experience with end-to-end ML implementation, including data pre-processing, transfer learning, and feature engineering and tuning of ML models during training and deployment. Leverages technical and communication skills to conduct innovative research projects on neural networks, fuzzy system, bioinformatics, sensor networks, and deep learning. Core Competencies include: Data Mining Database Management Machine Learning Health Informatics Fuzzy Logic Programming Optimization computer Vision MATLAB Simulink AI/machine learning Deep learning framework Internet of Things (IoT) Data Analysis Research Distributed Systems Project Management Cross-Functional Collaboration Information Technology Image and Signal Processing

Control Systems Design Linux ML model Probability and Statistics Health Informatics TensorFlow PyTorch Caffe Keras Numpy, Scipy, pandas, and Scikit Learn Transfer Learning Python Data Modeling Big Data Distributed Computing Cloud Computing.

P U B L I C A T I O N S

R. Gargees, J. Keller and M. Popescu, “TLPCM: Transfer Learning Possibilistic C-Means” IEEE Transactions on Fuzzy Systems Journal

(under review).

R. Gargees, J. M. Keller, M. Popescu, and M. Skubic, “Non-invasive classification of sleep stages with a hydraulic bed sensor using deep learning,” in International Conference on Smart Homes and Health Telematics. Springer, 2019, pp. 73–82. R. Gargees, J. Keller and M. Popescu, “Early illness recognition in older adults using transfer learning,” 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Kansas City, MO, 2017, pp. 1012-1016. Gargees, R. S., A. K. Z. Mansoor, and R. A. Khalil. “DSP Based Adjustable Closed-Loop DC Motor Speed Control System.” AL Rafdain Engineering Journal 19, no. 5 (2011): 66-76.

A. Mansoor, A. Hamoodi, R. Gargees, “Two Quadrant Speed Control of Permanent Magnet DC Motor Using PLC” Vol. 4, Issue 5 (SPECIAL K E Y P R O J E C T S A N D C O U R S E W O R K

Selected Projects:

Created backpropagation neural network for numbers and letters recognition.

Led rolling guidance of guided and bilateral filters for medical images.

Established transfer learning of a convolutional neural network for remote sensing image classification using TensorFlow, Keras (CNN,DCNN).

Hyperspectral Image Clustering Using Multiple Unsupervised Algorithms, PCA, Fuzzy C-Means (FCM), K-Means, Possibilistic C-Means (PCM), Spectral Clustering Algorithm, Ward Algorithm.

Face Detection in Big Data with Cascade Object Detector.

Cancer Classification Using Support Vector Machine (SVM).

Generated evolutionary algorithm for dictionary learning.

Investigated the Possibilistic C-Means (PCM) algorithm for anomaly detection using python. Selected Coursework:

Advanced Topics in Computational Intelligence

Data Mining and Knowledge Discovery Unsupervised Learning

Machine Learning and Pattern Recognition

Machine Learning Methods for Biomedical Informatics

Biomedical Image processing

Introduction to Computational Intelligence

Digital Signal Processing

Nonlinear Systems

T E C H N I C A L S K I L L S

Machine Learning: Transfer learning, Internet of Things (IoT), feature extraction, clustering, classification, ML model, Deep Convolutional Neural Network (DCNN) architectures such as VGG16, VGG19, ResNet, Inception, TensorFlow, Keras, PyTorch, and AI/machine learning models.

RAYAN GARGEES P A G E 2

Columbia MO, 65203 573-***-**** addg6j@r.postjobfree.com ((www.linkedin.com/in/rayan-gargees-168966123))

Machine Learning and Artificial Intelligence Algorithms (ML/AI): SVM, decision tree, random forest, evolutionary algorithm, linear regression, Fuzzy- k-nearest neighbor, k-means, Fuzzy C-Means (FCM), Possibilistic C-Means (PCM), Logistic Regression, Principal component analysis (PCA), etc.

Big Data and Data Science: Data acquisition, time-series data processing, data carpentry and cleaning, data processing, data analysis, real-time data processing, Expertise in visualizing and manipulating big datasets.

Programming Languages, Tools, and Frameworks: Python, MATLAB, Pspice, Linux, LaTeX.

Electrical Power: Electronics, power electronics, electrical machine, power system analysis. E X P E R I E N C E

Teaching Assistant UNIVERSITY OF MISSOURI, Columbia, Missouri 2018 Supported and taught courses covering programming and artificial intelligent material. Conducted classes, delivering coursework prepared by professor and working with students to ensure understanding of material. Cultivated strong relationships with staff and students to meet course objectives and deliver positive learning experiences. Assistant Lecturer Northern Technical University 2011-2014 Taught courses on programming languages and circuit analysis. Led students through lesson plans, answered student clarifying questions, and practiced effective classroom management. Built strong relationships with staff and students to support course objectives and create positive classroom experiences.

Supervised undergraduate projects, including one that received top department honors. V O L U N T E E R E X P E R I E N C E

International Student Welcome Volunteer INTERNATIONAL CENTER/UNIVERSITY OF MISSOURI, Columbia, Missouri 2017-2020 Assisted center staff to create an orientation event for new international students. Collaborated with staff and other volunteers to provide key information and help international students connect with others throughout the student community. Volunteer, XAI Leadership Team CHI ALPHA ON-CAMPUS MINISTRY/UNIVERSITY OF MISSOURI, Columbia, Missouri 2017-2018 Helped international students connect with American students to cultivate lifelong friendships, as well as provide support networks and resources for international students. Hosted events such as Christmas dinner and led English club meetings to help students learn the language.

E D U C A T I O N

Ph.D., Electrical and Computer Engineering UNIVERSITY OF MISSOURI, Columbia, Missouri Expected Graduation: 2020 M.E., Electrical and Computer Engineering UNIVERSITY OF MISSOURI, Columbia, Missouri 2018 M.S., Electrical Engineering NORTHERN TECHNICAL UNIVERSITY, Iraq B.S., Electrical Engineering NORTHERN TECHNICAL UNIVERSITY, Iraq C E R T I F I C A T I O N

Introductory Laboratory Security Training Certificate SANDIA NATIONAL LABORATORIES Atlanta, GA, USA Human Vulnerability Training Certificate SANDIA NATIONAL LABORATORIES, Miami, FL. USA. Staff Development Certificate FOUNDATION OF TECHNICAL EDUCATION. ISSUE), May, 2015.

A F F I L I A T I O N S

Member INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS (IEEE) Member IEEE COMPUTATIONAL INTELLIGENCE SOCIETY

A W A R D S

Recipient of HCED Scholarship

L A N G U A G E S

Fluent in English and Arabic

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