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Feldman, Richard individual record
Senior Professor
overview

Rich Feldman specializes in simulation, applied probability, and operations research. Some of his recent research has involved simulation, queueing analysis, and software development for biological models. He teaches the operations research courses, stochastic processes, simulation, and queueing theory. For teaching simulation, he uses Simio simulation software under a grant from Simio LLC (www.simio.com).

education and training
selected publications
Academic Articles45
  • Chang-Albitres, C., Feldman, R., Krugler, P. E., & Ibarra, I. (2014). Simulation Model to Prioritize Right-of-Way Acquisitions. JOURNAL OF INFRASTRUCTURE SYSTEMS. 20(1), 05013001-05013001.
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  • Birt, A. G., Valdez-Vivas, M. R., Feldman, R. M., Lafon, C. W., Cairns, D., Coulson, R. N., ... Guldin, J. M. (2010). A simple stochastic weather generator for ecological modeling. Environmental Modelling & Software. 25(10), 1252-1255.
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  • Birt, A., Feldman, R. M., Cairns, D. M., Coulson, R. N., Tchakerian, M., Xi, W., & Guldin, J. M. (2009). Stage‐structured matrix models for organisms with non‐geometric development times. ECOLOGY. 90(1), 57-68.
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  • Matis, T. I., & Feldman, R. M. (2005). Correction. JOURNAL OF APPLIED PROBABILITY. 42(1), 302-302.
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  • Matis, T. I., & Feldman, R. M. (2002). Using Cumulant Functions in Queueing Theory. QUEUEING SYSTEMS. 40(4), 341-353.
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Books4
  • Curry, G. L., & Feldman, R. M. (2011). Manufacturing Systems Modeling and Analysis. Springer Berlin Heidelberg.
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  • Feldman, R. M., & Valdez-Flores, C. (2010). Applied Probability and Stochastic Processes. Springer Berlin Heidelberg.
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  • Curry, G. L., & Feldman, R. M. (2009). Manufacturing Systems Modeling and Analysis. Springer Berlin Heidelberg.
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  • Curry, G. L., Deuermeyer, B. L., & Feldman, R. M. (1989). Discrete Simulation: Fundamentals and Microcomputer Support. Holden Day.
Conference Papers3
chaired theses and dissertations
Email
richf@tamu.edu
First Name
Richard
Last Name
Feldman
mailing address
Texas A&M University; Industrial Engineering; 3131 TAMU
College Station, TX 77843-3131
USA