Miit Daga
As a pre-final year B.Tech student in Information Technology at Vellore Institute of Technology, I have a deep passion for backend development and a strong interest in AI and ML. Currently diving into Deep Learning, I eagerly explore new ideas and expand my expertise. Fluent in English, Hindi, Gujarati, and Bengali, engaging with diverse communities and embracing challenges comes naturally. A quick learner and team player, contributing, collaborating, and growing alongside peers is always a priority. Actively seeking opportunities to work on projects that enhance my skills and create a meaningful impact.
A detailed review of the Hong Kong adaptation of the Montreal Cognitive Assessment (HK-MoCA), exploring its improvements through the integration of Bayesian techniques to enhance cognitive evaluation accuracy. The work is published in a book with ISBN 978-93-6674-263-2.
A comprehensive review of cultural adaptations for cognitive assessment tools across global populations. This analysis explores methodological approaches, statistical validations, and demographic factors, emphasizing cultural sensitivity, community involvement, and rigorous validation for accurate, equitable cognitive health evaluations worldwide. Accepted and currently under publication by CRC press.