Abouzar Moradian Tehrani

EMAIL: adukcg@r.postjobfree.com PHONE: +1-979-***-****

https://bit.ly/CodeSignalReport

linkedin.com/in/abouzar-moradian

OBJECTIVE

Computer Engineering graduate student with knowledge of Computer Vision, Computer Graphics, and Machine Learning in search of an engineering position where I can contribute my dedication, creativity, and coding skills to the development of novel algorithms in a wide variety of projects. SKILLS

Technical skills

- Programming Languages: C++, Python, MATLAB, JavaScript, R, Java

- Tools/Packages: TensorFlow, PyTorch, Keras, Scikit-Learn, NumPy, OpenCV, OpenGL, Git, SQL, CUDA, Linux, AWS

- Analytical Skills: Machine Learning, NLP, Image/Signal Processing, Software Engineering, Data Visualization, Geometric Modeling, Image Synthesis, Representation Learning, Transformer Models, Predictive Coding, Data Analysis, Robotics, SLAM, LiDAR, RADAR, PCA, Bayesian Statistics, Video Compression, Algorithms, Data Structures, Cognitive Neuroscience, Perception

Other Skills

- Effective Communication, Teamwork, Creativity, Critical thinking, Organization, Training and Teaching, Attention to detail, Adaptability

EDUCATION

Master of Engineering in Computer Engineering (Concurrent with PhD) 2021 - Present Texas A&M University College Station, TX

Doctor of Philosophy in Philosophy 2018 – Present

Texas A&M University College Station, TX

Master of Arts in Philosophy 2011- 2014

University of Isfahan Isfahan, Iran

Bachelor of Science in Electrical Engineering 2005 – 2011 Shahrekord University Shahrekord, Iran

WORK EXPERIENCE

Graduate Teaching Assistant

Texas A&M University 2018 - Present

Technical Manager

Shetab-Kare-Alborz (Company in Iran) Sep 2014 – July 2018 SELECTED COURSE PROJECTS

Image Captioning 2022

Designed and trained attention-based Image Captioning models (COCO) Image Generation 2022

Designed and trained VAE models for Image Generation (CelebA-HQ) Ray Tracing 2022

Designed and implemented ray tracers in WebGL and OpenGL 3D Reconstruction 2021

Implemented an unsupervised 3D reconstruction model from single-view images with Convolutional Autoencoder and Neural Renderer trained on CelebA dataset. Action Recognition 2021

Developed a series of action detection/recognition models with different algorithms using RNN-CNN and 3D-CNN trained and tested on YouTube videos.

Video Compression 2021

Analyzed and Implemented MPEG-2 algorithm using MATLAB. Object Tracking 2020

Designed and implemented a series of Object Tracking algorithms in C++. Visual Perception Online Experiment 2020

Designed, implemented, and ran an online interactive experiment in human visual perception in JavaScript.

AWARDS and CERTIFICATES

Certificate of Completion in Computer Vision Nanodegree, UDACITY 2022 https://confirm.udacity.com/MATJUWV9

GPAC Research Award, Texas A&M University 2021

Research Grant, Texas A&M University 2019

Lechner Graduate Grant, Texas A&M University 2018

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