Anuran Makur

Assistant Professor of Computer Science and Electrical & Computer Engineering
Purdue University

I am an Assistant Professor in the Department of Computer Science (CS) and the Elmore Family School of Electrical and Computer Engineering (ECE) at Purdue University, where I am also affiliated with the Institute for Control, Optimization and Networks (ICON). Previously, I completed my Sc.D. from the Department of Electrical Engineering and Computer Science (EECS) at Massachusetts Institute of Technology (MIT) and was also a postdoctoral researcher in the Laboratory for Information and Decision Systems (LIDS) and the Institute for Data, Systems, and Society (IDSS) at MIT.

Research Interests

I am broadly interested in theoretical EECS areas. In particular, my research interests are in:

  • Theory of Machine Learning
    1. ranking and preference learning
    2. optimization for machine learning
    3. non-parametric and high-dimensional inference

  • Information Theory
    1. information measures and inequalities
    2. fundamental limits of permutation channels and networks
    3. information theoretic methods for statistical inference

  • Applied Probability
    1. broadcasting on graphs
    2. interacting particle systems
    3. reliable computation using noisy circuits