Salaar Saraj

Salaar Saraj is an undergraduate student at the University of California, Irvine. He is currently a double major pursuing BS degrees in Computer Science and Mathematics, with a specification focus on intelligent systems and data science. He has a hands-on background in AI development, having previously collaborated on a lifestyle application that utilizes AI to provide daily health recommendations. Salaar's current research interests encompass machine learning, human-robot collaboration, data analysis, and data annotation techniques.

Publications

Interactive Causality-Enabled Adaptive Machine Learning in Cyber-Physical Systems: Technology and Applications in Manufacturing and Beyond
Interactive Causality-Enabled Adaptive Machine Learning in Cyber-Physical Systems: Technology and Applications in Manufacturing and Beyond
Yutian Ren, Aaron Yen, Salaar Saraj, GuannPyng Li. © 2024. 28 pages.
This chapter describes an adaptive machine learning (ML) method for the utilization of unlabeled data for continual model adaptation after deployment. Current methods for the...