Ekaterina Rapinchuk

Ekaterina Rapinchuk

Assistant Professor, Department of Mathematics; Department of Computational Mathematics, Science and Engineering
Room C212, Wells Hall
  619 Red Cedar Rd.
 (517) 353-0844
  merkurje@math.msu.edu

About Me

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.

Research Interests

•    Optimization for Classication (clustering) using a Graphical Framework

•    Machine Learning

•    Text Mining Studies.        

•    Image Processing

http://users.math.msu.edu/users/kmerkurev/

Publications
[1]
Bae, E. and Merkurjev, E., "Convex Variational Methods for Multiclass Data Segmentation on Graphs", submitted.
 
[2]
Merkurjev, E., Bertozzi, A.L., Chung, F., "A Semi-Supervised Heat Kernel Pagerank MBO Algorithm for Data Classification", submitted.
 
[3]
Meng, G., Merkurjev, E., Koniges, A., Bertozzi, A.L., "Hyperspectral Video Analysis Using Graph Clustering Methods", in preparation.
 
[4]
Merkurjev, E., Bertozzi, A.L., Lerman, K., Xiaoran, Y., "Modified Cheeger and Ratio Cut Methods Using the Ginzburg-Landau Functional for Classification of High-Dimensional Data", accepted in Inverse Problems.
 
[5]

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.

... 

Teaching

SS-18: CMSE 201 Intro to Computational Modeling

Click "Teaching" link to see past courses.