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Nelly Litvak is a professor specializing in Algorithms, Complex Networks, and has a background in Applied Probability and Stochastic Operations Research. Her research focuses on mathematical methods and algorithms for complex networks, social networks, and the World Wide Web. She models real-life networks as random graphs and utilizes algorithms to extract information from large network datasets. The primary goal of her research is to derive value from Big Data, particularly through the analysis of network data. Her work addresses key topics such as information extraction and predictions based on data, as well as the mathematical analysis of network characteristics and randomized algorithms. She explores how to define and collect accurate measurements for specific data purposes and how to deduce network structures from the available data. Additionally, she investigates the mathematical properties of algorithms used in networks, notably the PageRank algorithm developed by Google, which is instrumental in ranking web pages. Nelly's interests extend to various types of networks, ranging from social structures to power grids, affirming her belief in the importance and fascination of networks.
Specific departments like Industrial Design require a portfolio. Programs like Data Science and AI require a GRE-General test for certain international backgrounds.