Bio

Vasu Jindal is a graduating high-school student from New Delhi, India, and is excited to find many new challenges as he faces the transition from school to university.

His previous research work was on “Using Cellular Automata Patterns and Fractals to Simulate the Growth of Brain Tumor Cells” for the Intel Science and Engineering Fair (ISEF) 2014. He worked on the simulation of cellular automata rules on Penrose tilings instead of the conventional regular grid cells. His major interests lie in the study of complex systems, stochastic processes, chaos theory, number theory, and mathematical research. He also has a fervor for data mining, data analytics, and machine learning. Vasu comprehends that one can never know everything, but he hopes to learn enough to quench his thirst using the friendship between rigorous reasoning and insightful thinking.

Besides academics, Vasu also has a strong passion for origami, numismatics (coin collection), and quizzing. He wishes to pursue mathematics and computer science research in the future to unravel the many mysteries that lie within the core of these subjects.

Project: On Analyzing the Research Collaborations in the World to Predict the Next Breakthrough and Adding Social Network Graph of Researchers in Wolfram|Alpha

This project aims to make a social network graph of research scientists and professors. Just like the already-incorporated Facebook Social Graph in WolframAlpha, this project can help create a social network graph of collaborations and coauthors of research scientists through the data provided by arXiv. Network graphs of categories for paper submitted in the research fields will be made to get a better idea of how these categories interplay with one another. The project aims to provide a comprehensive overview of the research done in universities, academic institutions, and even in the industries around the world.

Peer-reviewed journals are the primary mode of communication and record of scientific research in today’s world. But since its creation in 1991, arXiv.org, the largest repository of openly accessible research preprints, has become central to the diffusion of research in a number of fields, most notably in physics, mathematics, and computer science. Text mining, automated translation, and research categories contribute largely to my project. Mathematica is used to employ data preprocessing and data interpretation processing in the course of data analysis. In addition to providing a description of which universities publish research papers in different subjects, I aim to demonstrate how most of the current scientists are working to address emerging problems of the society.

Analyzing the kind of research done in universities, academic institutions, and even in the industry essentially help to achieve progress in economic growth, social development, and environmental protection. It is also interesting to see how different research subjects fit in with the wider trends of fund mandates for open access and the general growing acceptance and demand for open access in the community.

Extended work: academic publications are too often ignored by other researchers. There are various reasons: Researchers know that conclusions may eventually be proved wrong. Publications are sometimes retracted. Effects may decline when studied later. We can analyze what sort of cases normally result in an unknown paper and ways to prevent it. We also can scrape data from Google Scholar to have a bigger database.

An example of a community graph of numerical analysis collaboration with different categories:

Favorite Outer Totalistic r=1, k=2 2D Cellular Automaton

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