Math/Stat 750
Introduction to Interdisciplinary Consulting

Spring 2004 - Matthias K. Gobbert and Nagaraj K. Neerchal

Class Presentations of the Consulting Projects

This page can be reached via the homepage of the Scientific Computing and Statistical Data Analysis Lab at http://www.math.umbc.edu/~gobbert/scsdal.

Program for Day 1

Wednesday, May 05, 2004, 08:45 a.m., MP 401

Session chair: Matthias K. Gobbert

  1. 08:50-09:10
    Current Neural Network Model
    Zorayr Manukyan
    Client: Dr. Jonathan Bell, Department of Mathematics and Statistics, UMBC
    In this talk we will introduce the model (integro - differential equation) describing electrical activity of neural net, will discuss the numerical method for solving it and how relationship between parameters in the model results in different type of wave phenomena.
    Project mentor: Matthias K. Gobbert

  2. 09:15-09:35
    Cluster Analysis for Compositional Data
    Ronny O. Vallejos
    Client: Dr. Erle Ellis, Department of Geography and Environmental Systems, UMBC
    Cluster analysis is a statistical technique of interest in many different fields for grouping data. This work presents a clustering technique to deal with compositional data. That is, data consisting of vectors in which the components are proportions adding up to one. Various strategies for replacing zeros in the data are discussed. To illustrate the method we present the analysis of a data set from the Yangtze Plain region in China.
    Project mentor: Nagaraj K. Neerchal

Program for Day 2

Thursday, May 06, 2004, 09:30 a.m., MP 401

Session chair: Nagaraj K. Neerchal

  1. 09:35-10:05
    Data Analysis for Concentration of Atrazine in Ground Water and Area of Influence
    Justin Newcomer and Rupa Bhensdadia
    Client: Mr. Earl Greene, U.S. Geological Survey, Baltimore, MD
    Atrazine (a pesticide) is used to control broadleaf and grassy weeds. The U.S. Environmental Protection Agency has set some standards for maximum contaminant level of Atrazine in drinking water. It is assumed that the Response variable, concentration of Atrazine can be predicted with logistic regression. The model was fit using various explanatory variables, collected for sample units. Also, an analysis was done to find the area of influence for the above stated study.
    Project mentor: Nagaraj K. Neerchal

  2. 10:10-10:40
    Sensitivity Analysis on the Plague Model
    Stephen Clark and Jonathan Desi
    Client: Dr. Holly Gaff, Dynamics Technology, Inc., Arlington, VA
    Plague is considered a prominet disease threat. In the past, outbreaks have affected large amounts of the population. Today, the threat of plague being used as a biological warfare and a terrorism agent is a realistic possibily. Researchers have studied this topic and developed a mathematical model of differential equations to understand how plague behaves. Our presentation will look at some sensitivity analysis on certain parameters in the model to see how the behavior is affected. This analysis will hopefully help researchers in this area better understand the behavior of plague.
    Project mentor: Matthias K. Gobbert

Copyright © 2004 by Matthias K. Gobbert and Nagaraj K. Neerchal. All Rights Reserved.
This page version 1.0, May 2004.