NOTICE

This have been moved to GitHubs by special profile repo: https://github.com/alik604/alik604

This is archived for external links from my youtube videos and medium.com blogs posts.

Directory to my GitHub

Find out what is where

you may wish to view this README.md as a website

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• Educational Background and Professional Interests
• Projects currently in progress:
  • The “MNIST” of Brain Digits; Given the brain signal(s) of 2 seconds each, captured with the stimulus of seeing a digit (from 0 to 9) and thinking about it, determine what the digit is
  • Data Science
• Projects-Past:
  • openCV object detection
  • SFU Robotics Club
  • Networking Related
  • Python - for Data Science and Cybersecurity
  • Web
  • Android

• Classes

Educational Background and Professional Interests

• My website
• Resume of 2019

3rd-year Cognitive science major at Simon Fraser University. VP of Cognitive Science Student Society. Interested in Machine Learning, Big Data Analytics, Feature Engineering (cybersecurity & health care), Financial Forecasting, Anomaly Detection (CyberSecurity-detection), and Embedded Systems for Automation.

Currently in a grad-level ML course, CMPT 419/726: Machine Learning, with a reasearch project and presenation. Class runs from 01/2020 - 04/2020

Also interested in general software development, in particular to following topics: Natural Language Processing, Computer Vision, Backend-end web development (Server and APIs), Android, Low level programming, and working with EEG (brain waves) and it’s associated signal processing

Research Interests: Predictive modeling of Human behavior

Personal Projects - Current:

Deep learning

• CMPT 419/726: Machine learning - Group project (Time Series Prediction)
  • I am able to do all the NNs in the repo.
• Time series prediction (On going for 20 months)
  • Statistical: (ARIMA and Holt winters)
    • more is the ‘ml baselining’ notebook here
  • Mathematical Finance
  • Notebooks - Time series

Notes

• iPython Notebooks
  • Kaggle competitions, Anomaly Detection, Cyber Security and, Finance
• Notes
  • Summarized books: Python for Data Analysis, ThinkDSP (Digital Signal Processing)

Personal Projects - Past:

Ordered chronologically

##The “MNIST” of Brain Digits

• Given the brain signal(s) of 2 seconds each, captured with the stimulus of seeing a digit (from 0 to 9) and thinking about it, determine what the digit is

  Cybersecurity

• Network Intrusion Detection
  • CO-OP project report
• CMPT 318: Cyber Security(R; Machine learning class)
  • Anomaly Detection in household electrical consumption data. Used HMMs
• chromePasswordThieve
  • Decrypt passwords saved in chrome and email them out
• Back door written in python
  • Download, Create, and Delete Files. Execute custom CMD commands
• bandwidth-hog
  • Download a file many times, but do not save the data. Useful for stressing out a network… possibly your own
• keylogger, DLL injection, unExpectedProcessChecker, and Windows registry tools

openCV object detection

All my OpenCV-projects were made over reading break 2019

1. Find an Ali. Used this educational source
   • Facial recognition using a HAAR cascade (Very basic)
2. License Plate OCR
   • Given an image of a License plate, Output all the text found.
   • I failed to process the image in a way such that pyTesseract-OCR will work.

SFU Robotics Club

• I made the website: http://sfuskynet.ca/
  • repo
• Code review for the movement system for Robots (7 in total; same code on all but one)

Web Development

• Stock watch list and simulator
• Online chat
  • Deployed here
• SFU Robotics Club website: http://sfuskynet.ca/
  • repo
• Torrent client in Node.js
  • This is something I’ve been wanting to do since the end of high school. I it found too intimidating. Now that there are better resources online, I took another shoot at it.
  • I learned from examples 1, 2

Android

• 99 names of God
  • Play Store link
• Mental Math Trainer
• iOS style calculator
• Basic GPS App

Classes

• CMPT 419/726: Machine Learning(Python - TensorFlow and PyTorch)
• COGS 300: Model logics, Background information
• CMPT 295: Introduction to Computer Systems(x86 Assembly; C)
• MATH 232: Applied Linear Algebra
• CMPT 318: Cyber Security(R; Machine learning class)
  • Anomaly Detection in household electrical consumption data. Used HMMs
• CMPT 225: Data Structures and Programming (C++)
• MATH 1173: Calculus I with Computer Explorations (Maple)
• CPSC 1181: Object-oriented Computing (Java)
• CPSC 1150: Program Design (Java)
• CPSC 1045: Introduction to Web Programming (JavaScript)
• High school ITC 11/12 (Java)