Sheldon Mark Ross

About

Dr. Sheldon Mark Ross is the Daniel J. Epstein Chair and Professor of Industrial and Systems Engineering at the University of Southern California Viterbi School of Engineering. He holds a B.S. degree in Mathematics from Brooklyn College, obtained in 1963, an M.S. degree in Mathematics from Purdue University in 1964, and a Ph.D. in Statistics from Stanford University in 1968. Prior to joining USC in 2004, he served as a Professor at the University of California, Berkeley from 1976. His research focuses on applied probability models, financial engineering, simulation, and stochastic dynamic programming. Dr. Ross is actively involved in scholarly publishing, serving as the Editor for Probability in the Engineering and Informational Sciences, the Advisory Editor for the International Journal of Quality Technology and Quantitative Management, and an Editorial Board Member of the Journal of Bond Trading and Management. He has received recognition for his contributions to the field, including being named a Fellow of INFORMS in 2013.

Research topics

• Statistics
• Artificial Intelligence
• Computer Science
• Mathematics
• Discrete mathematics
• Finance
• Applied mathematics
• Economics
• Mathematical economics

Selected publications

• Introduction to statistics

  Elsevier eBooks · 2020 · 54 citations

  1st authorCorresponding
  DOI

• A Second Course in Probability

  2023 · 23 citations

  1st authorCorresponding

  Written by Sheldon Ross and Erol Peköz, this text familiarises you with advanced topics in probability while keeping the mathematical prerequisites to a minimum. Topics covered include measure theory, limit theorems, bounding probabilities and expectations, coupling and Stein's method, martingales, Markov chains, renewal theory, and Brownian motion. No other text covers all these topics rigorously but at such an accessible level - all you need is an undergraduate-level understanding of calculus…

  PublisherDOI

• Simulation

  Elsevier eBooks · 2023-07-14 · 1 citations

  book-chapter1st authorCorresponding
  PublisherDOI

• Markov Chains

  Cambridge University Press eBooks · 2023-08-31 · 1 citations

  book-chapter1st authorCorresponding

  A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.

  PublisherDOI

• Brownian Motion and Stationary Processes

  Elsevier eBooks · 2023-07-14 · 1 citations

  book-chapter1st authorCorresponding
  PublisherDOI

Recent grants

• Models for Choosing the Best Population

  NSF · $423k · 2022–2027

• Stochastic Sequential Assignment Problems

  NSF · $248k · 2012–2017

• Collaborative Research: Theoretical and Algorithmic Advances in Sequential Adaptive Decisions

  NSF · $350k · 2017–2021

Frequent coauthors

• Erol A. Peköz

  Boston University

  46 shared

• Samim Ghamami

  University of California, Berkeley

  21 shared

• Cyrus Derman

  19 shared

• Mark Brown

  Columbia University

  18 shared

• Ilan Adler

  Healthcentric Advisors

  14 shared

• Sridhar Seshadri

  University of Illinois Urbana-Champaign

  13 shared

• Richard M. Karp

  11 shared

• G. J. Lieberman

  10 shared

Education

• Ph.D., Industrial and Systems Engineering

  University of Southern California

  1990

• M.S., Industrial and Systems Engineering

  University of Southern California

  1986

• B.S., Industrial and Systems Engineering

  University of Southern California

  1984

Awards & honors

• INFORMS -- The Institute for Operations Research and the Man…

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