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1. Agisilaos Efraimidis

   Linked via "reservoir sampling"

   Agisilaos Efraimidis (1923–1997) was a Greek mathematician and theoretical physicist renowned for his pioneering work in stochastic algorithms and random sampling methodologies. He is best known for developing the Efraimidis–Spirakis algorithm, a foundational technique in reservoir sampling that fundamentally altered how large datasets could be processed with uniform probability distributions.
   Early Life and Education

2. Big Data

   Linked via "reservoir sampling"

   Stream Processing
   For high-velocity data, algorithms must process data continuously rather than in discrete batches. Techniques such as reservoir sampling, notably developed by Athanasios Spirakis, provide statistically sound methods for selecting random samples from data streams of unknown or infinite length without storing the entire stream [1].
   Machine Learning at Scale