Welcome to my Homepage

About Me

I am Nirjhar Nath and I hail from Silchar, Assam. I am a philomath and a passionate problem solver. I am currently engrossed in my undergraduate studies, pursuing a dual major in mathematics and computer science at the Chennai Mathematical Institute, a research institute based in Chennai, India. (Check out my Courses section.) I have also done some amount of olympiad math in high school.

I am interested in varied areas of computer science, data science, mathematics and statistics. My current research interests lie in machine learning (both theory and applied), big data, computer vision, computational biology and time series analysis. (Check out my Research section.) I am currently engaged in developing algorithms aimed at enhancing the diagnosis and prognosis of breast cancer through the analysis of digitized images obtained from fine needle aspirates (FNAs) of breast masses.

Beyond academics, I spend my free time writing codes and typesetting in \( \mathrm{\LaTeX} \). I also love playing chess, reading non-fiction, writing poems (in English and Bengali) and listening to music, particularly rabindrasangeet, modern bengali songs (আধুনিক বাংলা গান) and rock/metal.

I have written some handouts for students beginning with math olympiads. They are available below.

Handouts

  • Divisibility in Olympiad Number Theory (Download)
  • The Extremal Principle (Download) published by Ganit Bikash
  • Some Problems on Parity (Download) published by Ganit Bikash
  • Fermat's Theorem and its Consequences (Download). [Incomplete]

Contact Me

You can contact me via my email id; I keep on checking emails frequently, so it is better to contact me via email. You can also contact me via my LinkedIn profile.

News

  • [Feb 2024] Our paper on forest fire detection (10.4236/ijcns.2024.172002) has been published.
  • [Jan 2024] Our paper (arXiv: 2401.12924) has been accepted for publication in Int. J. of Communications, Network and System Sciences of Scientific Research Publishing.

About This Site

This website was crafted by me using HTML, CSS, and JavaScript. I have used the MathJax-script from tex-mml-chtml.js file available at https://cdn.jsdelivr.net/npm/mathjax@3/es5/ and some js and css styles from bootstrap.bundle.min.js available at https://cdn.jsdelivr.net/npm/bootstrap@5.3.0-alpha1/dist/js/ and bootstrap-nightshade.min.css available at https://cdn.jsdelivr.net/npm/bootstrap-dark-5@1.1.3/dist/css/ respectively. You are free to use this site's source code, after having a read of this.

Feel free to explore and discover!