Reading existing work
Reviewing earlier studies to understand what has been tried, what worked, and what is still unclear.
Research · Current work
Learning how machines
understand images.
I study machine learning and computer vision, alongside my interests in physics and space.
My academic work starts with careful reading, a clear question, simple comparisons, and results that other people can check.
Current academic work
M.Tech dissertation · Early stage
I'll share the title and results once the work is far enough along to explain clearly and accurately.
2025—27Graphic Era UniversityComputer Science & Engineering
A clear process, one step at a time.
Defining the problem
Narrowing the topic to a clear question that can be tested and measured.
Planning the study
Choosing the data, comparison methods, models, and measures I will use.
First experiments
Running simple tests first, then using the results to decide what to improve.
Where I'm focusing my attention.
Machine learning
How models learn from data, how to compare them fairly, and how to make the results useful.
Computer vision
Teaching computers to classify, detect, and separate objects in images.
Machine learning for physics
Using data and physical rules together to study scientific problems.
Space and life
Questions about the universe, complex life, and the possibility of life beyond Earth.
From study to practice