Poster Presentations

Poster presentations will be scheduled in two sessions held after lunch on Monday and Tuesday. Dessert will be served at the same time as the presentations. The poster presentations will be the only event on the program during these times so that all conference participants can attend the session. 

Monday afternoon | Exhibit Hall

2:45pm-3:35pm
  1. Model Fit In Linear Regression: Overfitting Vs Underfitting
    Shilpa Balan, College of Business and Economics at California State University-Los Angeles
  1. Interventional Radiology Resource Modeling And Simulation – A Case Study
    Michael Prokle, Philips Research North America
  1. Teacher-school Assignment With Forward-looking Stability
    Navid Matin Moghaddam
  1. Examining The Effect Of Forecast Accuracy On A Dynamic Inventory Optimization Model For Spares
    Shan Lin
  1. Cost Optimization for Automated Solution Design of IT Services
    Aly Megahed, IBM
  1. Real World VRP Needs a GIS
    Heather Moe, Esri
  1. An Analytical Approach For Understanding Promotion Effects On Demand And Improving Profits
    Chaitnay Singh, Purdue University
  1. Tkmars An Efficient Approach For A New Class Of Black Box Functions
    Hadis Anahideh, University of Texas at Arlington
  1. Marine Corps Logistics Command Warehouse Optimization Model
    Amber Coleman, Marine Corps Logistics Command (MARCORLOGCOM)
  1. Employee Engaged Data-analytics Results In Innovative Scrap And Waste Reduction
    Tim Dorsey, The Dorsey Group
  1. Simplifying Paradata Analytics For Field Managers
    Craig Gagel, U.S. Census Bureau
  1. Scientific Advances To Continuous Insider Threat Evaluation Program
    Dan Hudson, U.S. Nuclear Regulatory Commission and Innovative Decisions, Inc.
  1. Assessment Of Factors Influencing Intent-to-use Big Data Analytics In Organization In A Post-adoption Context: A Survey Study
    Wayne Madhlangobe, CAP, Enbridge Inc.
  1. Identifying Major Defect Causes From Manufacturing Data Using Decision Rules: A Case Study
    Josue Obregon, Department of Industrial and Management Systems Engineering, Kyung Hee University
  1. Supporting Researchers With Metadata At Internal Revenue Service (irs) Research, Applied Analytics, And Statistics (raas)
    Robin Rappaport, Internal Revenue Service
  1. Improving Customer Satisfaction And Railway Dwell Times By Better Crowd Management At Netherlands Railways
    Matthias Rensink, Netherlands Railways
  1. Predictive Analytics On Performing Arts Patrons
    Aurelie Thiele, Engineering Management, Information and Systems department, Southern Methodist University
  1. A Design And Analysis Of Computer Experiments For Green Building
    Shirish Rao, Industrial, Manufacturing & Systems Engineering Department, University of Texas
  1. Bagging Classification Algorithm For Predicting Contactability In Outbound Telemarketing
    Jorge Samayoa
  1. Methodology For Natural Gas Demand Forecasting In New England
    Laszlo Steinhoff, Towson University
  1. A Disease Dashboard For Tracking And Predicting The Quality Of Glycemic Control In Diabetic Patients
    Dominic Vargas
  1. Predictive Model For Banknotes Demand Forecasting
    Jose Velasquez, Department of Industrial Engineering, Universidad de los Andes
  1. Machine Learning Approach To Delivery Time Estimation For Industrial Equipment
    Douglas Halim, Purdue University
  1. Use of Recurrent Neural Networks And LSTM Neural Networks for Time Series Forecasting
    Ruthwik Kumar
  1. Well Construction Process Modeling And Simulation
    Jason Baker, Transocean Offshore International
  1. Modeling 2018 Tax-Induced Regime Shifts across Statewide Municipal Bond Term Structures Using AI and Big Data Analytics
    Gordon Dash, The University of Rhode Island
  1. An Investigation Of Forecasting And Evaluating Intermittent Demand Time-series
    Jingda Zhou, Purdue University
  1. Claims Prediction using Cox Hazard Model
    Samuel Berestizhevsky, InProfix Inc.
  1. A Machine Learning Approach To Estimating Oil Demand
    Hongxia Shi, Purdue University

Tuesday afternoon | Exhibit Hall

2:45pm-3:35pm
  1. Temporal Demand Forecasting Using Machine Learning Techniques: A Comparative Study Of Open-source And A Commercial In-house Solution
    Kalyan Mupparaju, Purdue University
  1. Bootstrapping versus Geometric Brownian Motion – A Tale of Two Simulation Models for Portfolio Analysis
    James DiLellio, Pepperdine University
  1. An Optimization Approach For Assortment Planning
    Rishabh Mohan, Purdue University
  1. Supply Chain Network Optimization at Nordstrom
    Rao Panchalavarapu
  1. Clustering And Prediction Problem Framing For Sparse Demand Products
    Raghav Tamhankar
  1. A Gravity Model of Market Share Based on Transaction Records
    Mohsen Bahrami, Sabanci University/MIT, Media Lab
  1. Machine Learning Approach To Identify Risky Projects
    Meena Kewlani, DXC Technology
  1. Predicting Return To Acute Care Of Rehab Patients
    Huigang Liang, East Carolina University
  1. Jumpstarting Analytics Teams In The Healthcare Environment
    Manas Bhatnagar
  1. Bayesian Hierarchical Bernoulli Weibull Mixture Model for Extremely Rare Events on Internet Service
    Yuki Ohnishi, BizReach, Inc.
  1. A Retrospective Investigation Of Test And Learn Business Experiments & Lift Analysis
    Manya Mittal, Purdue University
  1. Estimating Home Delivery Orders in Grocery Sector: Leveraging Internal and External Data Sources
    Sepideh Kaffash, Suffolk University
  1. Mining Business Value From Unstructured Data
    William Amadio, Rider University
  1. A Dynamic Simulation Shows Patient-Matched Knee Implants That Fabricated Through Additive Manufacturing Can Enhance Patient-Outcome And Be Cost-Effective
    Amir Namin
  1. Optimization Of Preferred Boarding Groups By Markov Chains
    Viacheslav Kalashnikov
  1. Media Mix Modeling Solution By Discovery Communications And Civis Analytics
    Anastasia Chen, Civis Analytics
  1. Predicting And Optimizing Transportation Costs For A National Retailer Under Tiered Rebate Constraints
    Surya Gundavarapu
  1. A Machine Learning Approach To Estimating Product Substitution Behavior
    Matthew Lanham, Krannert School of Management, Purdue University and Biz Analytics Lab, LLC
  1. Fake or Not? Classification and Visualization of News Article
    Jeh Lokhande, Georgia Tech
  1. Modeling Production In Japan’s Cardboard Industry Using An Axiomatic Nonparametric Production Function
    Daisuke Yagi, Texas A&M University
  1. Data Mining Approaches For Stock Risk Assessment
    Amirhossein Gandomi, Stevens Institute of Technology
  1. A Network Economic Model with Time Competition
    Jun Ma, University of Calgary and Shenyang University of Technology
  1. Performance Analytics Of Regional Blood Centers With Public-private Partnerships
    Bilal Anwar, Xi’an Jiao Tong University
  1. Machine Learning Algorithm For The Vehicle Routing Problem
    Juan Jaramillo, SUNY Farmingdale School of Business
  1. Common Errors in Marketing Experiments and How to Avoid Them
    Tanya Kolosova, InProfix Inc
  1. Data Mining Approach For Cast Selection In Movies
    Shishir Suman, Georgia Tech
  1. Creative Outpatient Center Layout Design Using Simulation And Optimization
    Vahab Vahdatzad, Northeastern University
  1. Process Wind Tunnel for Improving Insurance Business Processes
    Dr Sudhendu Rai, AIG
  1. Integrating Natural Language Processing And Fuzzy Logic To Address Contract Ambiguity
    Mehdi Rajabi Asadabadi

Production & Presentation Guidelines

Posters must be produced as a single-sheet exposition that can fit on the bulletin board provided by INFORMS. The bulletin board measures 90” wide by 43” tall. We recommend a poster size of 72” wide by 36” tall or 48” wide by 36” tall. However, other sizes are acceptable as long as they do not exceed the bulletin board dimensions of 90” wide by 43” tall.

In preparing your poster, you may want to reference these online sites that provide templates, as well as printing services. Please see below for our guidelines on poster content and design.

We strongly recommend that you have your poster printed locally or by an online site before you travel to the meeting, rather than attempt to have it printed onsite in Baltimore.

Printing Resources

Poster Presentation
Make Poster