Skip to content
View beafshar's full-sized avatar
  • Ottawa

Block or report beafshar

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
beafshar/README.md

My Statistics

About me

Hello!

This is Bahar Afshar. I am a master's student in Computer Science - AI applied concentration at the University of Ottawa. I am working on my thesis about using active learning methods to implement an anti-money laundry system, under the supervision of Professor Paula Branco. Formerly, I received my Bachelor of Science in Computer Engineering from the University of Tehran.

Languages and Tools

C Java

Visual Studio Code Visual Studio Code HTML5 CSS3

Pinned Loading

  1. Dots-and-Boxes Dots-and-Boxes Public

    A version of Dots & Boxes game for multiple players. implemented using socket programming and client/server model.

    C

  2. Multiprocess-Pipeline Multiprocess-Pipeline Public

    implemented a multiprocess design which can search within directories and find the lowest price between several shops using unnamed and named pipes.

    C++

  3. Naive-Bayes-Classifier Naive-Bayes-Classifier Public

    AI course project: implemented a naive bayes classifier to predict DigiKala website comments whether they are recommended or not recommended.

    Jupyter Notebook

  4. Parallel-Programming Parallel-Programming Public

    OS course project: implementing a model to classify phone prices ranges with both multi thread design and serial design.

    C++

  5. Sentiment-Analysis Sentiment-Analysis Public

    Python

  6. AL_vs_SSL_Malware_Detection AL_vs_SSL_Malware_Detection Public

    Enhancing Windows Malware Prediction through Advanced Machine Learning Techniques: An Active and Semi-Supervised Learning Comparative Analysis

    Jupyter Notebook 1