Ramesh Upreti is a research assistant in NordSTAR and has been working on a literature review of security and privacy issues in machine learning. He will now continue the work in the field of Trustworthy AI, as an extension of his previous work.
Ramesh did his bachelor's degree in Nepal in Computer Applications. After this degree, he joined Deerwalk Inc. as an Associate Software Engineer. He then moved to Norway to pursue his master’s degree in Network and System Administration (NSA) from the University of Oslo (UiO).
During his master’s degree, he worked as a Teaching Assistant for three courses. From September 2019 to December 2020, he worked as a self-funded Research Assistant in OsloMet under the supervision of professor Anis Yazidi and professor Hårek Haugerud.
He is now taking a master's degree in Data Science at OsloMet and is involved in research activities as well.
– Why did you want to join NordSTAR?
– NordSTAR is one of the recent projects started with the aim of building sustainable and trustworthy AI tools. While the majority of companies and people are focused on developing and applying machine learning models to different sectors, NordSTAR has taken the responsibility of building trustworthy AI tools which are the utmost requirements of the current market, says Ramesh.
– As a machine learning and artificial intelligence enthusiast I can realize the importance of this project and the impact/benefit it will provide to society. It is my pleasure to get an opportunity to contribute to this project and at the same time, I believe this is a great learning experience for me.