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About Me

Hi there, I'm Aarat.
I believe that anyone with enough knowledge of their field can easily traverse from point A to point B, but determining where A and B are is the work of the weapon of imagination, which lies in the arsenal of a small proportion of people called researchers. That is why I am on the journey to become one of them.

  • Computer Vision
    Crafting Solutions to Decipher Visual Information and Streamline Visual Operations.
  • Deep Learning & Machine Learning
    Crafting Intelligent Systems using Sophisticated Data Interpretation by Harnessing machine learning and Neural Networks.
  • Game Development
    Creating Immersive Experiences and Crafting Interactive Worlds Using the Unity Engine.
  • Web Development
    Crafting user-centric web applications to deliver dynamic online experiences with seamless usability and intuitive functionality.
  • September 2024 - Current | Mitacs Accelerate Intern
    University of Western Ontario & ICASSSD
  • January 2024 - August 2024 | Junior Research Fellow
    Indian Institute of Technology, Delhi
  • June 2022 - August 2022 | Mitacs Globalink Research Intern
    Toronto Metropolitan University

  • April 2022 - May 2022 | Software Engineering Intern
    Keysight Technologies

  • 2024 - Present
    University of Western Ontario

    Ph.D. in Computer Science

  • 2019 - 2023
    Dayalbagh Educational Institute

    Bachelor of Technology in Electrical Engineering with Specialization in Computer Science

  • 2017 - 2019
    Radhasoami Educational Institute

    Intermediate (Physics, Chemistry, Maths)

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My Expertise

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Computer Vision Solutions

Crafting Solutions to Decipher Visual Information and Streamline Visual Operations, to enhance efficiency and unlock new possibilities in data interpretation and automation.

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csharp logo unity logo

Game Development

Creating immersive experiences and crafting interactive worlds using the Unity Engine, to captivate audiences with player specific designs

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html logo css logo js logo Php Logo

Web Development

Develop visually appealing and functional websites that are responsive and user-friendly, prioritizing both aesthetics and functionality.

My Projects

CRICS - A Cricket Scene Dataset & Classifier

Created a large dataset from 55 match highlights, refined through Denoising Autoencoder-based semantic Hashing to eliminate redundancy and enhance scene detector model's generalizability

Event Detection in Cricket

Using cricket highlights from YouTube trained state-of-the-art CNN models to accurately detect ball, batsman, bowler, bounce, shot-direction and hit (using the Mel-spectrogram of the audio).

Emperically Proving the Monty Hall Problem

Created a simulation of The Monty Hall Problem and showed that switching from the original decision always results in a higher number of victories in the case of 3 doors.

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Presentations & Publications

  1. ‘Automating Commentary Generation in a Cricket Match Using Video Analysis’, Oral Presentation in National Systems Conference 2023, India.

Contact Me

email-send imgaaratsatsangi26@gmail.com

Download CV