Arjun Sharma has a strong passion for STEM. He enjoys applying his knowledge to real-world challenges.
Research on Fast Radio Burst Repeater Candidates
Arjun’s research explores a new way to identify repeating fast radio bursts (FRBs). His paper is titled “The First Use of Positive and Unlabeled Machine Learning to Identify Fast Radio Burst Repeater Candidates.”
FRBs are brief bursts of radio waves from space. Some FRBs repeat their signals. Therefore, scientists study these signals to better understand their behaviour.
To investigate this topic, Arjun applied positive and unlabeled (PU) machine learning methods to 536 FRBs. His analysis identified two new potential repeater candidates.
Furthermore, his findings highlighted possible physical differences between repeating and non-repeating FRBs. These results could support future investigations using PU learning methods.
Research Accepted at MIT URTC 2023
Arjun earned acceptance to the MIT Undergraduate Research Technology Conference (MIT URTC 2023). The conference showcases engineering and technology research by undergraduate-level student researchers from across the country.
As a result, this achievement marks an important milestone in Arjun’s research journey. Congratulations to Arjun on this accomplishment!
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