INSTRUCTIVO PARA LA NATURALIZACIÓN DE REFUGIADOS

When implementing our models, we restrict it to the MapReduce framework. In the future, using Apache Spark would be beneficial as it provides in-memory processing to speed up the execution process. Additionally, we use TensorFlow-privacy and differential privacy to implement and train our neural networks. The models could be trained on a secure and trusted hardware environment such as Intel SGX to provide additional privacy guarantees. Furthermore, our models are most viable for multiple data owners. There is a future scope to implement these models and make them feasible for a broader audience.

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NAME: Dipeshkumar Shaileshkumar Patel PLACE OF BIRTH: Lusaka, Zambia

YEAR OF BIRTH: 1996

EDUCATION: Higher Secondary Diploma – Science Stream, Knowl- edge High School, Nadiad, Gujarat, India, 2014

Charotar University of Science and Technology (CHARUSAT), B.Tech in IT Engineering, Anand, Gu- jarat, India, 2018

University of Windsor, M.Sc in Computer Science, Windsor, Ontario, Canada, 2020