Burouj Armgaan

Projects

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About

I hail from Kashmir, the valley of saints. I am a PhD student at the Indian Institute of Technology Delhi. My research focus lies in the exciting field of graph machine learning, with a specific emphasis on explainability in graph ML. I am passionate about exploring methods and techniques that enhance our understanding of how graph models make predictions and decisions.

I completed my schooling at Tyndale Biscoe and pursued my bachelor's degree in Computer Science at NIT Srinagar. As a visiting student, I had the opportunity to join IIT Delhi in the fall of 2021, where I completed my final year of undergraduate studies. Following that, I continued my academic journey at IIT Delhi by enrolling in the PhD program.

Achievements

🏆2023

Finalist - Qualcomm India Fellowship 2023

🏆2022 - Current

Prime Minister's Research Fellow

🏆2022

Rank #2 B.Tech Computer Science

🏆2021

Selected as a visiting student to IIT Delhi, Computer Science

🏆2014-15

School Captain

Education

PhD: Computer Science

Bachelors: Computer Science

Schooling

Contact

• GitHub
• LinkedIn
• Twitter

Teaching Assistance

Machine Learning

Programming, DSA using Python

Data Mining

Parallel Programming

Discrete Mathematical Structures

Publications

GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking

Empowering Counterfactual Reasoning over Graph Neural Networks through Inductivity

Elements

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    print 'Iteration ' + i;
    deck.shuffle();
    i++;
}

print 'It took ' + i + ' iterations to sort the deck.';