2002 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)
2001 - INFORMS John von Neumann Theory Prize
1996 - Member of the National Academy of Engineering For advances in understanding and analyzing complex queues and queuing networks, leading to improved telecommunications systems.
His primary areas of study are Queue, Queueing theory, Applied mathematics, Mathematical optimization and Service. The Queue study combines topics in areas such as Distributed computing, Real-time computing, Server and Markov process. He combines subjects such as Stochastic process and Point process with his study of Queueing theory.
His Applied mathematics research is multidisciplinary, relying on both Laplace transform, Combinatorics, Asymptotic expansion, Calculus and Exponential function. He interconnects Mathematical economics, Priority queue, Stochastic approximation and Limit in the investigation of issues within Mathematical optimization. His research in Service intersects with topics in Quality of service, Computer network and Simulation.
His primary areas of investigation include Queue, Queueing theory, Mathematical optimization, Applied mathematics and Discrete mathematics. The various areas that he examines in his Queue study include Service, Real-time computing, Markov process and Limit. His Queueing theory research incorporates themes from Distributed computing, Algorithm, Server and Exponential function.
His research investigates the connection between Mathematical optimization and topics such as Stochastic process that intersect with problems in Random variable. His research integrates issues of Probability distribution, Markov chain, Markovian arrival process, Distribution and Calculus in his study of Applied mathematics. His Discrete mathematics study integrates concerns from other disciplines, such as Combinatorics, M/G/1 queue, M/M/1 queue, M/M/c queue and M/G/k queue.
His main research concerns Queue, Queueing theory, Limit, Mathematical optimization and Applied mathematics. He has included themes like Markov process, Control theory, Service, Real-time computing and Algorithm in his Queue study. His work carried out in the field of Queueing theory brings together such families of science as Distributed computing and Interval.
His Limit study combines topics from a wide range of disciplines, such as Fluid limit, Exponential function and Brownian motion. His Mathematical optimization research includes themes of Poisson distribution, Stochastic process, Central limit theorem and Scaling. His Applied mathematics research incorporates elements of Distribution, Arrival process and Rate function.
Ward Whitt mainly investigates Queueing theory, Limit, Queue, Mathematical optimization and Applied mathematics. His studies deal with areas such as Service system and Interval as well as Queueing theory. His Limit research is multidisciplinary, incorporating elements of Fluid limit, Distributed computing, Service and Exponential function.
His study ties his expertise on Markov process together with the subject of Queue. His work deals with themes such as Sequence and Server, which intersect with Mathematical optimization. Ward Whitt studied Applied mathematics and Key that intersect with Independence, Blocking, Fluid queue and Ordinary differential equation.
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Stochastic-process limits : an introduction to stochastic-process limits and their application to queues
Comparison methods for queues and other stochastic models
Ward Whitt;Dietrich Stoyan;Daryl J. Daley.
Journal of the American Statistical Association (1986)
The Queueing Network Analyzer
Bell System Technical Journal (1983)
Characterizing Superposition Arrival Processes in Packet Multiplexers for Voice and Data
K. Sriram;W. Whitt.
IEEE Journal on Selected Areas in Communications (1986)
The Fourier-series method for inverting transforms of probability distributions
Joseph Abate;Ward Whitt.
Queueing Systems (1992)
Heavy-Traffic Limits for Queues with Many Exponential Servers
Shlomo Halfin;Ward Whitt.
Operations Research (1981)
Numerical Inversion of Laplace Transforms of Probability Distributions
Joseph Abate;Ward Whitt.
Informs Journal on Computing (1995)
Approximating a Point Process by a Renewal Process, I: Two Basic Methods
Operations Research (1982)
Fitting mixtures of exponentials to long-tail distributions to analyze network performance models
Anja Feldmann;Ward Whitt.
Performance Evaluation (1998)
Multiple channel queues in heavy traffic. I
Donald L. Iglehart;Ward Whitt.
Advances in Applied Probability (1970)
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