Ph.D., Applied Mathematics, UCLA, September 2010 - June 2015
B.S./M.S. (Joint Program), Applied Mathematics, UCLA,
Ekaterina Merkurjev was born in St. Petersburg, Russia. She obtained her BS/MA/PhD at University of California, Los Angeles. After a UC President’s Postoctoral appointment at University of California, San Diego, she joined Michigan State University as an Assistant Professor of Mathematics and CMSE. She works on semi-supervised learning, unsupervised learning and image processing. Classification of high-dimensional data is one major application.
• Optimization for Classication (clustering) using a Graphical Framework
• Machine Learning
• Text Mining Studies.
• Image Processing
Merkurjev, E., Bae, E., Bertozzi, A.L., and Tai, X.-C., "Global Binary Data Optimization on Graphs for Data Segmentation", Journal of Mathematical Imaging and Vision, 52(3), pp. 414-435, 2015.
SS-18: CMSE 201 Intro to Computational Modeling
Click "Teaching" link to see past courses.