personnel profile

Research Statement

Glynn's interests include discrete-event simulation, computational probability, queuing, and general theory for stochastic systems. Current applications areas include performance engineering for communications networks, control algorithms for wireless networks, and computational finance.

For a detailed description of Glynn's research and a list of all his publications, see his department page.

Research Projects
"A Natural History Model of Stage Progression Applied to Breast Cancer" [with S. K. Plevri
"The mean number-in-system vector range for a multi-class queueing network" [with Curtis E
"The Semi-regenerative Method of Simulation Output Analysis" [with J. M. Calvin and M. K.
" On the Validity of Long-Run Estimation Methods for Discrete-Event Systems " [ with P.J.
" Managing Power Consumption in Networks on Chips " [ with T. Simunic and S. Boyd ]. Submi
Summary: "A Natural History Model of Stage Progression Applied to Breast Cancer" [with S. K. Plevritis, P. Salzman, B. and M. Sigal]. Submitted for publication. Link: http://www.stanford.edu/dept/MSandE/cgi-bin/people/faculty/glynn/pdfs/stageTransition [Close Box] Summary: "The mean number-in-system vector range for a multi-class queueing network" [with Curtis Eaves and Uri Rothblum]. To appear in Mathematics of Operations Research. Link: http://www.stanford.edu/dept/MSandE/cgi-bin/people/faculty/glynn/pdfs/paper3.pdf [Close Box] Summary: "The Semi-regenerative Method of Simulation Output Analysis" [with J. M. Calvin and M. K. Nakayama]. Submitted for publication. Link: http://www.stanford.edu/dept/MSandE/cgi-bin/people/faculty/glynn/pdfs/semireg4_2.pdf [Close Box] Summary: " On the Validity of Long-Run Estimation Methods for Discrete-Event Systems " [ with P.J. Haas ]. To appear in Performance Evaluation Review. Link: http://www.stanford.edu/dept/MSandE/cgi-bin/people/faculty/glynn/pdfs/onvalidoLREM.pd [Close Box] Summary: " Managing Power Consumption in Networks on Chips " [ with T. Simunic and S. Boyd ]. Submitted for publication. [Close Box]
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Degree	Discipline	Year	School
PhD	Operations Research	1982	Stanford University

Course Number	Course Title	Link
MS&E 121	Introduction to Stochastic Modeling	http://www.stanford.edu/class/msande121/materials.html
MS&E 221	Stochastic Modeling	http://www.stanford.edu/group/mathcompsci/MathCompSci.pdf
MSANDE223	Simulation	https://ccnet.stanford.edu/msande223/
MS&E 321	Stochastic Systems	http://www.stanford.edu/class/msande321/announce.html
MS&E 322	Stochastic Calculus and Control	http://www.stanford.edu/class/msande322/announce.htm
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Academic Honors & Awards

• Eugene L. Grant Award for Excellence in Undergraduate Teaching, Stanford University
• Fellow, Institute for Operations Research and the Management Sciences (INFORMS), 2007

Recent Presentations

• Winter Simulation Conference 2005: The Initial Transient Problem