Penn State Harrisburg

J. Brian Adams, Ph.D., P.E.

· Lecturer in Mathematical Sciences; Science, Engineering, and Technology


Brian Adams is a lecturer in the Department of Mathematics and Computer Science in Penn State Harrisburg's School of Science, Engineering, and Technology. He received his Ph.D. in Operations Research from the University of Delaware in 1997. His research straddles the disciplines of statistics and computer science with work in simulation modeling of political campaigns and mobile software development. Prior to joining Penn State Harrisburg Dr. Adams was an Assistant Professor at Franklin & Marshall College in Lancaster, PA.

Research Interests

  • Computational and Statistical Modeling
  • Monte Carlo Methods in Simulation Modeling
  • Statistical Analysis
  • Mobile Software Development
  • Operations Research

Courses Taught

  • MATH 17
  • MATH 21
  • MATH 22
  • MATH 26
  • MATH 35
  • MATH 36
  • MATH 110
  • MATH 140
  • MATH 141
  • MATH 220
  • MATH 230-231
  • MATH 250-251
  • QUANT 310
  • STAT 200
  • STAT 301
  • STAT 401
  • CMPSC 101
  • CMPSC 121
  • CMPSC 200

Publications and Research

  • J. Brian Adams. Optimal partition of a capital disbursement: The case of long term tax planning. In Maling Ebramhipour, editor, Proceedings of the 1996 Northeast Decision Sciences Institute. April 17 - 19, 1996. St. Croix, V.I, pages 123–126, Kingston, 1996. Northeast Decision Sciences Institute, University of Rhode Island.
  • Joseph Brian Adams. Statistical Inference in Modeling Longitudinal Data With Feedforward Neural Networks. Ph.d. dissertation, University of Delaware, Newark, DE, 1997.
  • Joseph Brian Adams. Optimizing pickle harvests using a feedforward neural network. Proceedings of the Northeast Agricultural and Resource Economics Association Annual Meeting, June 22 - 24, 1997. Sturbridge, MA, pages 1–20, 1997.
  • Ryan P. Jost, Conrado M. Gempesaw, II, Ed Kee, and Brian Adams. Predicting Optimum Pickle Harvest: Validating a Neural Network Model. Proceedings of the World Conference on Computers in Agriculture and Natural Resources, seventh conference, October 28, 1998.
  • Joseph Brian Adams, Predicting pickle harvests using a parametric feedforward neural network, Journal of Applied Statistics, 26 (1999) 165–176.
  • J. Brian Adams, "Identi cation of Voting Machine Errors During the 2000 General Election in Lancaster County, Pennsylvania." [Online] Available (2001) 1–9.
  • Joseph B. Adams, "A Data Mining Approach for Identifying Erroneous Election Results," In J.E. Kendell (ed.) Proceedings of the 35th Annual Meeting of the Decision Sciences Institute, Atlanta: Decision Sciences Institute, Atlanta, GA, pages 691–697, 2004
  • J. Brian Adams and Yijin Wert, "Logistic and Neural Network Models for Predicting Hospital Admissions," Journal of Applied Statistics, 32 (2005) 861–869.