Projects

This page contains some of the DL/ML and BigData/DataScience projects that I have done for university courses or due to personal interest.

Deep Learning and Machine Learning

All projects on Github here.

Trustworthiness:

• Adverserial Training vs. Angular Loss for Robust Classification
• SHAP, LIME, and D-RISE Explanations
• Backdoor attacks and OOD detection

Generative Models:

• Timestep-Wise Regularization for VAE on Persian Text
• BigBiGAN analysis + Combining it with InfoGAN

Self-Supervised Learning:

• Autoencoders and PixelCNN for Downstream Tasks
• Contrastive Predictive Coding
• SimCLR Analysis
• Unsupervised Representation Learning via Rotation Prediction

Embeddings:

• Visual Question Answering
• Transfer Learning using EfficientNet-B0
• Multimodal Movie Genre Classification

Vision:

• Efficient Instance Segmentation of pathology images via Patch-Based CNN (Related to my bachelor’s thesis)

Data_Projects

All projects on Github here.

Data Pipeline (Large-scale project)

• A real-time BigData system for monitoring, analysis, and prediction of online Persian Tweets

NoSQL

• Working with NoSQL Databases (MongoDB, Neo4j, Cassandra, and Elasticsearch)

Spark and GraphX

• Text analysis, logFile mining, stock market analysis, and Wikipedia analysis

Data Analytics

• Crawling static and interactive Iranian webpages
• Spotify data gathering + data analysis + Recommender system