World's Best Scientists 2026 revealed!

Research.com Recognitions

  • 2020 - Fellow of John Simon Guggenheim Memorial Foundation
  • 2020 - SIAM Fellow For contributions to constrained and reflected processes and stochastic networks.
  • 2019 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2018 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)
  • 2018 - Fellow of the American Mathematical Society For contributions to the theory and applications of stochastic processes.

Overview

Kavita Ramanan is affiliated with Brown University in the United States. Their research primarily spans the field of Mathematics, with focused contributions in Mathematical Physics, Statistics and Probability, Statistical and Nonlinear Physics, Applied Mathematics, and Management Information Systems.

Their research topics cover various aspects of stochastic processes and statistical mechanics, Markov chains and Monte Carlo methods, random matrices and their applications, point processes and geometric inequalities, advanced queuing theory analysis, complex network analysis techniques, and stochastic processes with financial applications.

Recent notable publications by Kavita Ramanan include:

  • From the master equation to mean field game limit theory: Large deviations and concentration of measure, 2020, The Annals of Probability
  • Local weak convergence for sparse networks of interacting processes, 2023, The Annals of Applied Probability
  • An asymptotic thin shell condition and large deviations for random multidimensional projections, 2021, Advances in Applied Mathematics
  • Geometric sharp large deviations for random projections of ℓpn spheres and balls, 2020, arXiv (Cornell University)
  • Locally interacting diffusions as Markov random fields on path space, 2021, Stochastic Processes and their Applications

Kavita Ramanan frequently collaborates with the following co-authors:

  • Daniel Lacker
  • P. M. Siva Raja
  • Ruoyu Wu
  • Steven Soojin Kim
  • Yin-Ting Liao

The primary publication venues where their work has appeared include:

  • arXiv (Cornell University)
  • Electronic Journal of Probability
  • Mathematics of Operations Research
  • The Annals of Applied Probability
  • The Annals of Probability

The researcher has received several fellowships and recognitions including being named a SIAM Fellow in 2020 for contributions to constrained and reflected processes and stochastic networks. In 2020, they were also designated Fellow of the John Simon Guggenheim Memorial Foundation. Other honors include being a Fellow of the American Association for the Advancement of Science (AAAS) in 2019, a Fellow of the American Mathematical Society in 2018 for contributions to the theory and applications of stochastic processes, and a Fellow of the Institute for Operations Research and the Management Sciences (INFORMS) in 2018.

Best Publications

  • Distributed Parameter Estimation in Sensor Networks: Nonlinear Observation Models and Imperfect Communication

    Soummya Kar;J. M. F. Moura;K. Ramanan

  • SCHEDULING IN A QUEUING SYSTEM WITH ASYNCHRONOUSLY VARYING SERVICE RATES

    Matthew Andrews;Krishnan Kumaran;Kavita Ramanan;Alexander Stolyar

  • LARGEST WEIGHTED DELAY FIRST SCHEDULING: LARGE DEVIATIONS AND OPTIMALITY

    Alexander L. Stolyar;Kavita Ramanan

  • An explicit formula for the Skorokhod map on [0,a].

    Lukasz Kruk;John Lehoczky;Kavita Ramanan;Steven Shreve

  • Concentration Inequalities for Dependent Random Variables via the Martingale Method

    Leonid (Aryeh) Kontorovich;Kavita Ramanan

  • Downlink scheduling in CDMA data networks

    A. Bedekar;S. Borst;K. Ramanan;P. Whiting

  • Convex duality and the Skorokhod Problem. II

    Paul Dupuis;Kavita Ramanan

  • Law of large numbers limits for many-server queues

    Haya Kaspi;Kavita Ramanan

  • A Poisson limit for buffer overflow probabilities

    J. Cao;K. Ramanan

  • Fluid limits of many-server queues with reneging

    Weining Kang;Kavita Ramanan

  • The Skorokhod problem in a time-dependent interval

    Krzysztof Burdzy;Krzysztof Burdzy;Weining Kang;Weining Kang;Kavita Ramanan;Kavita Ramanan

  • From the master equation to mean field game limit theory: A central limit theorem

    François Delarue;Daniel Lacker;Kavita Ramanan

  • Concentration inequalities for dependent Random variables via the martingale method

    Leonid;Kontorovich;Kavita Ramanan

  • Down-link transmission scheduling in CDMA data networks

    Anand S. Bedekar;Simon C. Borst;Kavita Ramanan;Philip A. Whiting

  • Heavy traffic analysis for EDF queues with reneging

    Łukasz Kruk;John Lehoczky;Kavita Ramanan;Steven Shreve

  • From the master equation to mean field game limit theory: Large deviations and concentration of measure

    François Delarue;Daniel Lacker;Kavita Ramanan

  • SPDE limits of many-server queues

    Haya Kaspi;Kavita Ramanan

  • A Skorokhod Problem formulation and large deviation analysis of a processor sharing model

    Paul Dupuis;Kavita Ramanan

  • Reflected Diffusions Defined via the Extended Skorokhod Map

    Kavita Ramanan

  • Asymptotic approximations for stationary distributions of many-server queues with abandonment

    Weining Kang;Kavita Ramanan

Frequent Co-Authors

Paul Dupuis
Paul Dupuis Brown University
Krzysztof Burdzy
Krzysztof Burdzy University of Washington
Philip Whiting
Philip Whiting Macquarie University
John P. Lehoczky
John P. Lehoczky Carnegie Mellon University
Steven E. Shreve
Steven E. Shreve Carnegie Mellon University
Jose M. F. Moura
Jose M. F. Moura Carnegie Mellon University
Sem Borst
Sem Borst Eindhoven University of Technology
François Delarue
François Delarue Université Côte d'Azur
Soummya Kar
Soummya Kar Carnegie Mellon University
Martin I. Reiman
Martin I. Reiman Columbia University

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