Poster Sessions

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

Poster submission has closed.

New This Year

The competitive poster competition will feature two separate tracks: (1) Practitioners, and (2) Students.

Monday Session

Griffin Hall, 2:45pm-3:35pm

  1. Optimize the London Bike Sharing System through Advanced Analytics
    Filippo Focacci, Decision Brain, Paris, France
  1. Assessing Risk of Heart Attack in Diabetes Patients: A Linear Programming Based Classification Approach
    Mira Shukla, Rema Padman, Carnegie Mellon University, Pittsburgh, PA
  1. Aircraft Utilization Comparison and Prediction Between Legacy Carriers and Low-Cost Carriers
    Daniel X. Zhou, Iowa State University, Ames, IA
  1. Supply Chain Demand Clustering and Forecasting for Consumer Goods
    Michael Prokle, Fortune Brands GPG, Boston, MA
    Cindy Hulse, Robert Swidarski, Marie Gaudard, David Mintz
  1. A New Model for Supply Chain Finance
    Grace Lin, Asia University, Wufeng, Taiwan
  1. A Predictive Analytics Approach to Understand, Predict, and Reduce Distribution Center Stockouts
    Ankit Pandey, Purdue University, West Lafayette, IN
    Nikeeta Brijwasi, Mayank Daga, Amjad Hasnian, Matthew A. Lanham
  1. Data Wrangling to Data Science in Revenue Management: A Dynamic Pricing Model for the Vacation Rental Industry
    Changxuan Liu, University, West Lafayette, IN
    Yachu Liu, Jiangtao Xie, Nelson Chou, Matthew A. Lanham
  1. Semantic Structure Identification using Image Detection Algorithms
    Udaiveer Singh Chauhan, Purdue University, West Lafayette, IN
    Nipun Diwan, Ananth Nath, Daniel Whitenack
  1. Using Conditional Random Fields to Forecast Product Promotions
    Aniketh Kulkarni, Purdue University, West Lafayette, IN
    Sudeep Kurian, Ananthapadmanabhan Sivasankaran, Matthew A. Lanham
  1. Flexible Named Entity Recognition for Date-related Entities in Financial Documents
    Jaideep Dutta, Purdue University, West Lafayette, IN
    Deepika Jindal, Shubham Arora, Daniel Whitenack
  1. An Intelligent Framework For Optimal Management Of Data Collection Process
    Kannan Balaji, Nielsen Company, Oldsmar, FL
    Sreeraman K. Krishnan, Reddy Shivampet
  1. Finding the Best Production Forecasting Method
    Xiaoyu Wu, Duke University, Durham, NC
  1. An Unsupervised Clickstream Solution to Better Understand the Customer Journey
    Nitin Sahai, Purdue University, West Lafayette, IN
    Ankit Anand, Rohit Kata, Srinija Vobugari
  1. Community Detection in the Customer-Product Bipartite Graph
    Lili Zhang, Kennesaw State University, Kennesaw, GA
    Jennifer Priestley
  1. Probabilistic Logic in Massively Customized Products
    Matthew Colvin, General Motors, Austin, TX
  1. Carrier Optimization for Ecommerce Deliveries at Nordstrom
    Nazanin Zinouri, Nordstrom, Seattle, WA
    Rao Panchalavarapu, Loren VandenBerghe, Michael Manzano
  1. Zone Skipping Methodologies within Nordstrom’s Ecommerce Delivery Network
    Ethan Malinowski, Nordstrom, Seattle, WA
    Rao Panchalavarapu, Loren VandenBerghe, Michael Manzano
  1. Role of Big Data Analytics Infrastructure Capabilities in SC Resilience Development
    Santanu Mandal, Coimbatore, India
    Amrita Vishwa Vidyapeetham
  1. Using Analytics to Increase the Number of Exam Requests Granted to Students with Disabilities
    Nickolas K. Freeman, University of Alabama, Tuscaloosa, AL
    John Mittenthal
  1. Exploring the Relationship between Social Determinants of Health (SDH) and Stroke Severity
    Himasagar Molakapuri, Carnegie Mellon University, Pittsburgh, PA
  1. Matching IP Buyers with Sellers: An Intellectual Property Recommendation System
    Vaibhav Diyora, Purdue University, West Lafayette, IN
    Akshay Kurapaty, Gautam Harinarayanan, Lanham Matthew A, Mayank Gulati
  1. Holiday Forecasting: A Machine Learning Approach to Forecast Shipment Volume During Holidays
    Vijaya Rani, Purdue University, Lafayette, IN
    Hemanth Kumar Devavarapu, Syed Almas Rizvi, Arjun Chakraborty, Matthew A. Lanham
  1. An Analysis Of The U.S. Hospitals Industry Using A Non-parametric Shape-constrained Estimation Technique
    Kevin Layer, Texas A&M University, College Station, TX
    Andrew L. Johnson, Robin C. Sickles, Gary Ferrier
  1. A Framework to Define, Predict, and Evaluate Slow-Moving Grocery Items
    Anant Gupta, Purdue University, West Lafayette, IN
    Vivek Avlani, Rahul Gaadhe, John Kalathil, Matthew A. Lanham
  1. Activity Assignment and Routing of Field Personnel in Zillow Offers Business
    Suleyman Karabuk, Zillow, Seattle, WA
    Wei Xia, David Fagnan, Kyle McQueary, Adriana Baron, Barrett Rodgers
  1. Quality Risk Alerts Via Principal Component Analysis
    David Bayba, Chee Hoe Cheok, INTEL, Chandler, AZ
  1. Data Analysis for Recall Patterns In Pharmaceutical Supply Chains
    Rana Azghandi, Northeastern University, Boston, MA, Jacqueline Griffin

Tuesday Session

Griffin Hall, 2:45pm-3:35pm

  1. Assessing Cancer Patent Portfolios Using Analytics
    Aurelie Thiele, Southern Methodist University, Dallas, TX
  1. Forecasting the Inflow of ER Patients to Support the Scheduling of Doctors
    Cody Baldwin, Brigham Young University-Hawaii, Laie, HI
  1. A Comparative Analysis Of Economic And Environmental Tradeoffs Of Roof-mounted Solar Plants For Manufacturing Locations In The U.s.
    Amir T. Namin, Northeastern University, Boston, MA
  1. Operational Constraints For Real-world VRP
    Heather Moe, ESRI, Redlands, CA
    Shubhada Kshirsagar, Wee-Liang Heng, Peter Yan
  1. Hourly Forecasting of Clear-Sky Index: A Markov-Chain Probability Distribution Mixture Approach
    Leo Degon, Savannah State University, Savannah, GA
    Abhinandan Chowdhury, Suman Niranjan
  1. Computing Cluster Usage and Profitability Optimization from Job Logs
    Melvyn Thomas Daniel Sagayaraj, Purdue University, West Lafayette, IN
    Chaitali J Pawar, Saurabh Suman, Daniel L Whitenack
  1. Scientific Advances to Continuous Insider Threat Evaluation (SCITE) for Inference Enterprise Models (IEM)
    Sean Tatman, Innovative Decisions Inc, Vienna, VA
    Dennis M. Buede
  1. IoT in the Insurance Industry: Using Telematics Data to Strategically Manage Risks and Price Competitively
    Simon Jones, Purdue University, Lafayette, IN
    Miao Wang, Ho-Min Liu, Himanshu Premchandani, Matthew A. Lanham
  1. Applying Advanced Analytics to Fight the Opioid Epidemic in Appalachia
    Jana Laks, Carnegie Mellon University, Pittsburgh, PA
    Michael Coutinho
  1. Contracts Analytics on Cognitive Enterprise Data Platform
    Pitipong JS Lin, IBM Corporation, Cambridge, MA
    Elaine Branagh
  1. A Sequence Analysis Approach to Improve New Product Forecasts
    Sudarshana Singh, Purdue University, West Lafayette, IN
    Shubham Gupta, Muthuraja Palaniappan, Thuy Nguyen, Matthew A. Lanham
  1. Integrating Descriptive Analytics into the Marine Corps Depot Maintenance
    Anthony Giunipero, United States Marine Corps, Albany, GA
  1. Pair Match Algorithm to Design Pseudo Control- A Business Application in Banking Analytics
    Pair Match Algorithm to Design Pseudo Control- A Business Application in Banking Analytics
  1. Leveraging Kubernetes on Azure for ETL, Data Validation, and Business Intelligence
    Roshan N. Lalwani, Purdue University, West Lafayette, IN
    Karma Y. Patel, Rajat Mittal, Yuvraj Gupta, Daniel L. Whitenack
  1. Interpretable Neural Network for Survival Analysis by Integrating Genomic and Clinical data
    Jie Hao, Kennesaw State University, Kennesaw, GA
  1. Improving Sales and Marketing Effectiveness Using Customer Segmentation
    Shefali Jain, Purdue University, West Lafayette, IN
    Akash Kashyap, Sagar Pradhan, Aditi Vatse, Matthew A. Lanham
  1. Pay Now, Gain Later: Analyzing the Effects of Higher Pay Scales in Business Performance
    Liye Sun, Purdue University, West Lafayette, IN
    Lorena Veronica Bustamante, Doga Sayiner, Kiran Samayam, Matthew A. Lanham
  1. Reducing Receipt Invoices Mismatch Costs Using Categorical Variable Imputation
    Shubhansh Jain, Purdue University, West Lafayette, IN
    Meera Govindan, Sushil Achamwad, Aniket Banerjee, Daniel L. Whitenack
  1. An Innovative Prototype to Create Real-Time Commodity Product MarketIntelligence and Move the Market
    Fan Lu, Purdue University, West Lafayette, IN
    Shengye Guo, Charul Bagla, Abhijit Kumar, Matthew A. Lanham
  1. AGRO: An AGri-business Recommendation Optimization Engine for Sales Growth Decision-Support
    Varsha Prabhakar, Purdue University, West Lafayette, IN
    Rudraksh Syal, Yash Sharma, Zhi Dou1, Matthew A. Lanham
  1. Dynamic Server Placement In Cloud Data Centers With A Hybrid Metaheuristic Algorithm
    Wanyi Zhu, Alibaba Inc, Hangzhou, China
  1. Analyzing Product Mix, Purchase Record and Growth Trends to Improve E-Tailer Performance
    Yuntong Lin, Purdue University, West Lafayette, IN
    Mingjen Yeh, Abhishek Talwar, Daniel Whitenack
  1. End to End Data Cleaning Workflow for NYPL Restaurant Menu Data
    Reshma Lal Jagadheesh, University of Illinois Urbana Champaign, Urbana, IL
    Nithish Kaviyan Dhayananda Ganesh
  1. Application Of Operations Research To Marketing In A Gas Company ~Optimization Of Direct Marketing Using Customer Information~
    Yu Shibata, Tokyo Gas Co., Ltd, Tokyo, Japan
    Miho Udagawa, Toshinori Sasaya, Ryotatu Arikawa, Sho Ouchi, Noriko Furuta, Kanako Nakayama
  1. Experience Modeling in Underwriting Farm Insurance
    Tanvi Singhal, Deloitte, Hyderabad, TX
  1. Reducing Retails Sales Forecast Error with Hierarchical Bayes
    Guang Zhao, John V. Colias, University of Dallas, Irving, TX

Registration and Awards

Each track will be judged separately, with awards of 1st, 2nd, and 3rd place in each track.  Winners will be announced and notified before the conference is over based on (1) novelty of application, (2) results (or potential results) from implementation, and (3) presentation of work.

  • $500 award from INFORMS Data Mining section will be given to the top student poster over the two day event.
  • $500 award from Purdue’s Business Information & Analytics Center (BIAC) will be given to the top practitioner poster over the two day event.
  •  2nd and 3rd place winners in both tracks will receive a certificate of recognition.

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 Austin.

Printing Resources

Poster Presentation
Make Poster