Zahra Anvarian

Iran University of Science and Technology

2016 - 2021

Tehran, Iran

B.Sc. in Computer Engineering with a concentration on AI
Ranked 4^th among Iran Universities based on QS Ranking

- GPA (Last two years via 55 credits): 3.94/4 (18.52/20)

WeCNLP Conference 2021

ParsTSet: A Persian Dataset for Personality Detection on Twitter [PDF]
M. M. Abdollahpour*, Z. Anvarian*, S. Fatehi, S. Eetemadi

- Published in WeCNLP 2021

• Proposed a novel dataset along with a baseline model for predicting MBTI personality traits.
• Working on the full paper, so it is an ongoing research project.

WINLP Conference 2022

MBTI Personality Prediction Approach on Persian Twitter [PDF]
S. Fatehi*, Z. Anvarian*, Y. Madani, M. J. Mehditabar, S. Eetemadi

- Published in WiNLP 2022

• Collected a dataset that contained Persian tweets as data and MBTI personality traits as the label.
• Implemented a Bidirectional RNN+LSTM(64) model for predicting users' MBTI personality traits.

B.Sc. Final Thesis

A Persian Dataset for Personality Detection on Twitter
Supervisor: Dr. Sauleh Eetemadi -- Juror: Dr. Behrooz Minaei

• Researched on MBTI Personality Trait Prediction for gathering a complete Persian dataset on Twitter for the first time in this subject which would be useful for other interested researchers.

Computer Vision Course

Github

Car Plate Detection
Instructor: Dr. Mohammad Reza Mohammadi

• Trained multiple deep CNN models to classify images that contain car plates.
• Implemented relatively complex deep models using Keras.
• The best project of the class both in terms of execution time and F1-score.

Github

Deep Neural Network

• Trained ResNet50 model to classify the Stanford Car dataset images using Keras, and Augmented data with data generator to reduce overfitting.

Github

Convolutional Neural Network

• Designed a CNN model, which includes an Inception module with dimension reduction, using Keras to classify the Fashion MNIST dataset images.

Github

Image Classification via shape, texture, and color

• Coded the HOG and LBP, which are image feature extractors, using OpenCV to classify the MNIST dataset images by SVM classifier.

Computational Intelligence Course

Github

Inverted Pendulum
Instructor: Dr. Nasser Mozayani

• Solved Inverted Pendulum using Fuzzy Logics (also using RL in Gym env).

Github

Image Classification

• Designed a Multi-Layer Perceptron (MLP) model to classify the Hoda dataset images, which like MNIST dataset but in Persian, using Numpy and Keras.

Github

HopField Network

• Implemented a noise-robust model using Hopfield Network for image detection.

Github

Radial Basis Function

• Coded the function approximation using RBF (Radial Basis Function) and MLP.

Github

Self-Organizing Feature Map

• Trained a Kohonen’s Self-Organizing Feature Map (SOFM), which can map a dataset of 3-Dimensional data into a 2-Dimensional space.

Artificial Intelligence Course

Github

Text Classification
Instructor: Dr. Mohammad Taher Pilevar

• Trained two models, Naïve Bayse and MLP model, that classify news documents into two classes: politics news and sport one.

Github

Reinforcement Learning

• Implemented Reinforcement Learning in games like WaterWorld or PixelCopter

Github

AI Pacman game

• Solved Pacman practical Projects of Berkeley University in the most of AI outlines such as Search Problems, Informed Search, CSP, Adversarial Search, Markov Decision Process, etc.

Signal Processing Course

Github

Digital Radio
Instructor: Dr. Mohammad Reza Mohammadi

• Designed a digital radio, which can detect radio channels and play them using Signal Processing.

Github

Dual-Tone Multi-Frequency

• Implemented a Dual-Tone Multi-Frequency (DTMF) signaling that each of the 12 keys on the phone sends a specific signal when clicked.

Github

Yes-No Signal Detection

• Implemented the Yes-No signal detection that get the voice of Yes or No and detect its signal.

Research Assistant

Sep 2020 - June 2021

IUST

Natural Language Processing Researcher at NLP Lab
Supervisor: Dr. Sauleh Eetemadi

• Studied the literature of datasets and models designed for psychological traits prediction.
• Constructed a novel dataset based on MBTI model of personality traits for Persian language.
• Implemented multiple NN models to predict users' personality traits using their tweets.
• Experienced coding NLP models using fastText, doc2Vec, BERT, CNN, LSTM, etc.

Research Assistant

May 2019 - Sep 2020

IUST

Computer Vision Researcher at MAS Lab
Supervisor: Dr. Nasser Mozayani

• Took Computer Vision Coursera course for learning more about CV applications.
• Implemented a Neural Style Transfer using VGG-19, which is a pre-trained model, to injected the style to the input image.
• Designed a Car Detection model using YOLO algorithm to recognize cars in images with the bounding boxes.

Teaching Assistant

Feb 2022 - Jun 2022

Natural Language Processing
Instructor: Dr. Behrooz Minaei

Feb 2021 - Jun 2021

Computational Intelligence
Instructor: Dr. Nasser Mozayani

Feb 2021 - Jun 2021

Deep Learning
Instructor: Dr. Mohammad Reza Mohammadi

Sep 2020 - Jan 2021

Microprocessor and assembly language
Instructor: Dr. Amir Mohammad Monazzah

Sep 2020 - Jan 2021

Embedded System and IoT
Instructor: Dr. Amir Mohammad Monazzah

Feb 2018 - Jun 2018

Database Design
Instructor: Dr. Eisa Zarepour

Mentoring

May 2019 - Aug 2020

Software Engineering
Instructor: Dr. Mehrdad Ashtiani

Feb 2018 - Jun 2018

Computer Systems Analysis and Design
Instructor: Dr. Mehrdad Ashtiani

AI developer

Aug 2021 - Oct 2022

Tehran, Iran

Dadmatech Company

• Researched in personality detection models by studying related papers.
• I implemented NLP models using fastText, doc2Vec, Transformers, CNN, etc.
• I developed NN models using Tensorflow for predicting personality traits via individual's texts.

Front-end developer

Jul 2019 - Dec 2019

Ontario, Canada

Edgecom Energy Company

• I worked there as a Front-end developer for six months remotely because of the company's location that is in Ontario, Canada.
• My purpose was to gain work experience out of the university's environment and getting familiar more with programming tools.
• I designed and implemented webpages by HTML, CSS, JavaScript, and jQuery.

Front-end developer

Feb 2018 - Jun 2018

Tehran, Iran

Teachent Startup

• I worked as a Front-end developer at Teachent, which was an application of a friendly startup of our own in a group of five.
• I designed webpages by HTML, CSS, JavaScript.

deeplearning.io

Oct 2020

Certificate

Convolutional Neural Networks in TensorFlow

Oct 2020

Certificate

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Oct 2020

Certificate

Natural Language Processing in TensorFlow

Sep 2020

Certificate

Deep Learning Specialization

Sep 2020

Certificate

Sequence Model

Aug 2020

Certificate

Convolutional Neural Networks

Aug 2020

Certificate

Structuring Machine Learning Projects

Aug 2020

Certificate

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

June 2020

Certificate

Neural Networks and Deep Learning

Coursera

March 2022

Certificate

Deep Learning with PyTorch : Neural Style Transfer

Feb 2022

Certificate

Deep Learning with PyTorch : Generative Adversarial Network

Feb 2022

Certificate

Deep Learning with PyTorch : Image Segmentation

Sep 2020

Certificate

Computer Vision - Image Basics with OpenCV and Python