About

Amir Dembo's research focuses on probability theory and stochastic processes, with a particular interest in large deviations techniques and applications. He has made significant contributions to the fields of lossy source coding, aging of spherical spin glasses, and the study of random walks in random environments.

Research topics

• Mathematics
• Combinatorics
• Statistical physics
• Computer science
• Discrete mathematics

Recent grants

• Mean Field Asymptotic for Stochastic Processes on Graphs

  NSF · $700k · 2011–2017

• Mean field asymptotic for stochastic processes on graphs

  NSF · $360k · 2008–2012

• Collaborative Research FRG: Phase Transitions in Stochastics Dynamics and Algorithms

  NSF · $255k · 2003–2007

• Quenched Tails and Almost Sure Limit Laws

  NSF · $439k · 2004–2009

• Combinatorial Optimization, Spin Models, and the Geometry of Sparse Random Graphs

  NSF · $600k · 2016–2021

Frequent coauthors

• Ofer Zeitouni

  Weizmann Institute of Science

  237 shared

• Yuval Peres

  Beijing Institute of Mathematical Sciences and Applications

  85 shared

• Jay Rosen

  66 shared

• Tadahisa Funaki

  27 shared

• Jean Picard

  25 shared

• Vladas Sidoravičius

  New York University Shanghai

  16 shared

• Ruojun Huang

  University of Münster

  16 shared

• D. Malah

  Technion – Israel Institute of Technology

  15 shared