معرفی
Dr. Saida Elmi is an Assistant Professor in the Electrical and Computer Engineering and Computer Science Department at the University of New Haven's Tagliatela College of Engineering, and holds a concurrent Adjunct Assistant Professor position at Yale University's School of Medicine. She earned her PhD in Computer Science from France's National School of Mechanics and Aerotechnics in 2017, followed by postdoctoral positions at Korea University of Technology and Education (2017-2018), National University of Singapore (2018-2021), and Yale University (2021-2022).
Her research centers on knowledge discovery through machine learning and spatial data mining techniques, with applications ranging from urban computing to healthcare analytics. Current projects include action recognition for mental disease detection at Yale. Her publication record demonstrates consistent contributions to spatial data processing, prediction models, and uncertain database systems.
Analysis of her 15 most recent publications reveals strong emphasis on spatio-temporal prediction models, skyline query optimization, and deep learning applications for urban systems. Recurring themes include POI prediction, traffic/transportation analytics, and uncertainty management in databases.
