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High School Student Researcher Nivashini on Classifying Schizophrenia Disorder through EEG Signal Analysis and Machine Learning Accepted at the MIT URTC 2023

High School Student Researcher Rushat Presented Research On Photometric Redshift Predictions At The Mit Urtc 2023

Nivashini Nattudurai is a student at James Logan High School in the USA. She has earned recognition in public speaking, writing, art, and computer programming.

Nivashini also excels in science and technology competitions. In 2022, she secured third place in the MIT BeaverWorks CubeSat Challenge. She also participated in UC Berkeley’s ATDP programme for Advanced Biotechnology. In addition, she placed fourth twice at the Alameda County Science Fair.

Leadership and Community Involvement

Beyond academics, Nivashini enjoys helping other students develop their skills. She designed and taught a six-week writing class focused on essay writing.

She also serves as President of the Audacity Academy club. In this role, she participates in tutoring and community service projects. These activities reflect her commitment to learning and supporting others.

Research on Schizophrenia Using EEG and Machine Learning

Nivashini’s research paper, “Classifying Schizophrenia Disorder through EEG Signal Analysis and Machine Learning,” was accepted for the Lightning Talks at the MIT Undergraduate Research Technology Conference (MIT URTC 2023) in Massachusetts.

Her research explores how EEG signal analysis and machine learning can help classify schizophrenia. This topic brings together neuroscience, data analysis, and computer science.

MIT students organised the conference in partnership with the IEEE. It features student research presentations, expert talks, and networking opportunities.

Congratulations to Nivashini on this significant achievement!

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