Faezeh Khazaee

• Programming with Python, Tehran Technical Institute, (Jun 2020)
• Applied Machine Learning in Python, Coursera, (Jul 2018)
• Introduction to Data Science in Python, Coursera, (Jul 2018)
• Applied Text Mining in Python, Coursera, (Jul 2018)

• 2020 University Entrance Exam, Ranked 7: annual nationwide university entrance exam (Master of IT). Iran
• 2020 University Entrance Exam, Ranked 125: annual nationwide university entrance exam in Iran (Master of AI). Iran
• 2017-2019 Top Student, 3 times top student at university. Iran
• 2015 University Entrance Exam-Under Graduate, Top one percent in annual nationwide university entrance exam. Iran

• Neural Network Course: Semantic Segmentation using UNET (Python), Object detection using YOLO (Python), Music and Poem generation (Python), Implementation of GAN, SOM network, Bidirectional associative memory, CNN Networks, Hopfield Network
• Information Retrieval Course: Question and answer system that rates Related answers using MLP and GLOVE word embedding and Re-rank them with BERT fine-tuning (Python), Implementation of Pivoted length normalization, smoothing methods, pseudo-relevance feedback, and expert finding, Map/Reduce, Page Rank, Word association, topic modeling (Python and JAVA in Galago)
• Machine Learning Course: Image Classifier in which we Collected Data and used them for Face Gesture and SEX detection using a classifier and age prediction using Linear Regression (Python), Implementation of the EM algorithm, GMM model, Adaboost, PCA, LDA, ICA, SVM, Gaussian Mixture (Python)
• Statistical inference Course: Data analysis of a hospital in which we Implemented different tests such as ANOVA test, T-test, x2-test, Adjusted R2, Linear Regression, Logistic Regression, and show findings with plots such as Correlogram, Heatmap Correlogram, 3D and 2D Scatterplot, Frequency contingency, Grouped, and Segmented Bar plot, Utility curve, ROC curve (R)
• Cognitive Science Course: Analysis of EEG and PET data (Python and Matlab)

Deep Modular Multi‑Hop Co Attention Networks for Visual Question Answering
Faezeh Khazaee, Hamed Talebi, Hesam Almasi Rad, Mohammad Bagher Menhaj
Soft Computing Journal(Submitted ) (Oct. 2023). 2023

• Piano, Dulcimer, Photography, Painting, Skating, Swimming, Cycling, Badminton, Running, TRX, Bodybuilding