Fundamental limits and algorithms for data processing and machine learning. Statistics, discrete probability, learning theory, information theory, algorithms.
Friedrich Eisenbrand’s main research interests lie in the field of discrete optimization, in particular in algorithms and complexity, integer programming, geometry of numbers, and applied optimization.
Combinatorics, spectral graph theory, quantitative linear algebra, random matrix theory, finite free probability.
Amin Shokrollahi has worked on a variety of topics, including coding theory, computational number theory and algebra, and computational/algebraic complexity theory. He is best known for his work on iterative decoding algorithms of graph based codes.