Schedule

Updated: 4/4/2019

View the Program Notebook

Sunday, April 14

7:00am-5:00pm Registration Lone Star Foyer
7:00am-9:00pm Mother’s Lounge 309
7:00am-5:00pm Gala Exchange Desk (exchange your Gala voucher for a seat) Lone Star Foyer
7:00am-4:30pm Roundtable Meeting (Invitation only) Brazos
7:30am-3:00pm INFORMS Early Career Professionals’ Network (Application Required) 213
9:00am-10:45am

Technology Workshops

301

Methodologies for Deploying Applications that Combine Machine Learning Tools and Optimization Solvers (CPLEX/ ODH|CPLEX)

Optimization Direct

302

Deploying GAMS models with GAMS MIRO

GAMS

303

Solve Your First $500K Problem in 75 Minutes

Alteryx

304

Manipulating Data and Analytics Using SAS® University Edition

SAS Global Academic Program

305

Creating Interactive Analytics on the Web with Forio Epicenter

Forio

11:00am-12:45pm

Technology Workshops

301

Recent Advances on Large Scheduling Problems in CP Optimizer, Multiobjective Optimization in CPLEX

IBM

302

Data Analytics with MATLAB

Mathworks

303

Turning Algorithms Into Applications to Put AI in the Hands of Enterprise Teams Faster than Ever

Opex Analytics

304

How To Get Started with Automated Machine Learning

Datarobot

305

Decision Framing Made Easy

Decision Frameworks L.P.

306

Map-Reduce for Optimization: Build and Deploy Optimization Decomposition on Distributed Resources in the Cloud

DecisionBrain

12:00pm-4:30pm UPS George D. Smith Competition 201
1:00pm-2:45pm

Technology Workshops

301

Solving Business Problems with SAS Analytics and OPTMODEL

SAS

302

JMP and the Predictive Modeling Workflow

JMP, a Division of SAS

303

Applying AnyLogic and AnyLogic Cloud to Solve Various Business Challenges

The AnyLogic Company

304

Recent Developments in the Gurobi Optimizer

Gurobi

305

You Can Sell and Deploy Successful Optimization Solutions

Princeton Consultants

306

New Innovations: Cloud Computing, Real-Time Scheduling, Industry 4.0, and More

Simio Simulation & Scheduling Software

12:00pm-6:00pm Analytics Career Fair JW Grand Ballroom 1 & 2
3:00pm-4:45pm

Technology Workshops

301

Get Results from Analytic Models in Excel, Dashboards, and Business Systems

Frontline Solvers

302

Yes, You Can Add Optimization to Your Large Complex What-If Excel Models

LINDO Systems

303

Adding Optimization to Your Applications, Quickly and Reliably: From Prototyping to Integration with AMPL

AMPL

304

Democratizing Supply Chain Prescriptive Analytics

AIMMS

305

Nonlinear Optimization in a Nutshell with Artelys Knitro

Artelys Corp.

306

Calling all OR Heroes: Learn How to Model and Deploy Solutions in 75% Less Time with FICO® Xpress Insight

FICO

5:30pm-7:30pm Executive Forum (Invitation Only) 203 & 204
6:00pm-7:00pm Newcomers Reception 205
6:00pm-7:00pm Career Fair Employer Reception (Invitation Only) 208
7:00pm-8:30pm Welcome Reception and Exhibits Griffin Hall

Monday, April 15

7:00am-5:00pm Registration Lone Star Foyer
7:00am-9:00pm Mother’s Lounge 309
7:00am-3:00pm Gala Exchange Desk (exchange your Gala voucher for a seat) Lone Star Foyer
7:00am-8:00am Continental Breakfast Lone Star DE
7:00am-8:00am Career Fair Employment Outlook Panel Brazos
8:00am-9:00am Welcome: Ramayya Krishnan, INFORMS President and Mani Janakiram, General Chair
Opening Plenary Panel Discussion
How Data Science is Revolutionizing the Future
Moderator: Noha Tohamy, GartnerPanelists:
Nada Sanders, Northeastern University
Viju Menon, Stryker
Katherine Rosback, Katherine Rosback Enterprises, Inc.
Lone Star DE
9:00am-4:30pm Exhibits Open Griffin Hall
9:00am-5:00pm Career Fair Interviews (By Appointment) Griffin Hall
9:10am-10:00am

Track Sessions

Emerging Analytics

201

A Tutorial on Robust Optimization

Dick den Hertog, Tilburg University

Implementing Analytics

202

Analytics in Healthcare – A Dose of Reality

Janine Kamath, Mayo Clinic

Analytics Leadership

203

Data: The Fuel of Tomorrow

Aziz Safa, Intel Corporation

Revenue Management & Pricing

204

Behavioral Influences in Procurement Auctions & Pricing Decisions

Wedad Elmaghraby, University of Maryland

INFORMS Prizes & Special Sessions

205

2018 Wagner Prize Reprise: Analytics and Bikes: Cornell Rides Tandem with Motivate to Improve Mobility

Cornell University

2019 Franz Edelman Award Competition

Lonestar GH

Dynamic Customized E-Commerce Fraud Detection System for Profit Optimality

Microsoft

Artificial Intelligence & Healthcare

301

Optimal Classification and Regression Trees

Jack Dunn, Interpretable AI

Risk Management & Predictive Analytics

302

Increasing Economic Sustainability of Electric Power Planning Under Uncertainty

Gianmaria Leo, IBM

Supply Chain

303

Dynamic Pricing for Varying Assortments

Kris Ferreira, Harvard Business School

Technology Tutorials

304

Solving Large-Scale Energy System Models

GAMS

Technology Tutorials

305

Introduction to Text Analytics Approaches used for Business Analytics to Quickly Extract Insights

Provalis Research

Technology Tutorials

306

The Beer Game as a Reinforcement Learning Tool

Opex Analytics

9:10am-12:20pm Syngenta Crop Challenge in Analytics 211 & 212
9:10am-1:00pm INFORMS O.R. & Analytics Student Competition 310 & 311
10:00am-10:30am Coffee Break with Exhibitors Griffin Hall
10:30am-11:20am

Track Sessions

Emerging Analytics

201

Interpretable AI

Dimitris Bertsimas, MIT

Implementing Analytics

202

Analytics in Action – from Concept to Value

Anne Robinson, Kinaxis

Analytics Leadership

203

Analytics and the Dell Digital Way

Jim Roth, Dell Digital

Revenue Management & Pricing

204

Fandango 360: Data Driven Movie Marketing and Content Recommendations Platform

Reeto Mookherjee, Fandango

INFORMS Prizes & Special Sessions

205

Freestyle O.R. Supreme Data Hackathon Finalists

2019 Franz Edelman Award Competition

Lonestar GH

Vattenfall Gets Hundreds of Millions in Gains Through the Application of Operations Research for Offshore Wind Farm Design

Vattenfall

Artificial Intelligence & Healthcare

301

Identifying Suspicious Financial Activity Using Machine Learning

Sanjay Melkote, U.S. Bank

Risk Management & Predictive Analytics

302

Crowdsourcing Analytics: Case Study of the Fishing for Fishermen Maritime Data Challenge

Paul Shapiro, National Defense University

Supply Chain

303

Analytics in Compliance Risk Management – An Adaptive and Recursive Approach Using Machine-Learning Methods

Jonathan Yan, Dun & Bradstreet

Technology Tutorials

304

Building and Solving Optimization Models with SAS

SAS

Technology Tutorials

305

Power Systems Optimization and Price Forecast with Artelys Crystal

Artelys Corp.

Technology Tutorials

306

Using AnyLogic Simulations as a Training Environment for Deep Reinforcement Learning

The AnyLogic Company

11:30am-12:20pm

Track Sessions

Emerging Analytics

201

Driving Transparency & Eliminating Reconciliations Across Your Enterprise Value Chain Using Blockchain

Sharad Malhautra, Ernst & Young

Implementing Analytics

202

Analytics Impact: Like a Marathon, the Last Mile is the Hardest

Jeff Camm, Wake Forest

Analytics Leadership

203

Why Effective Data Science Needs Human-centered Design

Jim Guszcza, Deloitte Consulting

Revenue Management & Pricing

204

Dynamic Pricing of Omni-channel Inventories

Pavithra Harsha, IBM Research

INFORMS Prizes & Special Sessions

205

Certified Analytics Professional: CAP® Program Overview Panel

Moderator: Zahir Balaporia, FICO
Panelists: Alan Briggs, Data Robot, Additional Panelists TBD

2019 Franz Edelman Award Competition

Lonestar GH

RIMAS: Safer Skies in Spain

Spanish Aviation Safety and Security Agency (AESA)

Artificial Intelligence & Healthcare

301

Delivering Impact and Developing The Analytics Roadmap at Memorial Sloan Kettering’s Department of Surgery

Christopher Stromblad, Memorial Sloan Kettering Cancer Center

Risk Management & Predictive Analytics

302

Improving Traceability to US Air Force Capability Assessments

Calvin Bradshaw, HQ Materiel Command

Supply Chain

303

Closing the Gap Between Forecasting and Inventory Management

Joshua Hale, Intel Corporation

Technology Tutorials

304

Optimization Modeling Tools from LINDO Systems

LINDO Systems

Technology Tutorials

305

Switching to Gurobi

Gurobi

Technology Tutorials

306

Optimization and Machine Learning – A Match Made in Data Science Heaven!

IBM

12:30pm-1:45pm ‘Feed Your Mind’ Networking Lunch Lone Star DE
1:50pm-2:40pm

Track Sessions

Emerging Analytics

201

Analyzing Everyday Language to Understand People

James Pennebaker, University of Texas at Austin

Implementing Analytics

202

Scaling and Sustaining an Analytics Function

Stefan Karisch, Boeing

Analytics Leadership

203

Setting up the Analytics Leader for Success

Noha Tohamy, Gartner, Inc.

Revenue Management & Pricing

204

Revenue Management & Pricing in the Car Rental Industry

Montgomery Blair, Hertz

INFORMS Prizes & Special Sessions

205

Freestyle O.R. Supreme Data Hackathon Finalists

2019 Franz Edelman Award Competition

Lonestar GH

Csoft®: Innovative Solution for the Real-time Control of Sewer Networks

Louisville Metropolitan Sewer District and Tetra Tech

Artificial Intelligence & Healthcare

301

Developing Machine Learning Applications in an Agile Environment

Mary McGuire, University of Texas MD Anderson Cancer Center

Risk Management & Predictive Analytics

302

Application of Text Analysis to Quality Control of Operational Document Sets

Thor Osborn, Sandia National Labs

Supply Chain

303

Variance-Damping or Variance-Amplifying? A Look at Analytics in the Supply Chain

Clark Pixton, Brigham Young University

Technology Tutorials

304

Using Artelys Knitro with Julia/JuMP

Artleys Corp.

Technology Tutorials

305

Using JMP: Mining Unstructured Text Data for Meaningful Insights

JMP, a Division of SAS

Technology Tutorials

306

End-to-End FICO® Xpress Insight Tutorial: From Data to Decisions for Non-Technical Business Users

FICO

2:45pm-3:35pm

Poster Session and Refreshment Break with Exhibits

Single Session – 2019 Franz Edelman Award Competition

2019 Franz Edelman Award Competition

Lonestar GH

Analytics and OR for IBM’s IT Service Deals

IBM

Griffin Hall
3:05pm-3:35pm CAPs & Coffee 213
3:40pm-4:30pm

Track Sessions

Emerging Analytics

201

Robotic Process Automation

Russell Malz, Blue Prism

Implementing Analytics

202

Implementing Analytics to Automate Decisions at Scale

Sagar Sahasrabudhe & Carolyn Mooney, GrubHub

Analytics Leadership

203

Lessons for Leaders: Reinventing Your Business with AI and O.R.

Michael Watson, Opex Analytics

Revenue Management & Pricing

204

Intelligent Retailing Decision Support – A Bold New Vision for the Industry

Hunkar Toyoglu, Sabre Airline Solutions

INFORMS Prizes & Special Sessions

205

The Value of CAP®

Moderator: Anne Robinson, Kinaxis
Panelists: Norm Reitter, CANA Advisors, Ranganath Nuggehalli, UPS and Aaron Burciaga, Analytics2Go

2019 Franz Edelman Award Competition

Lonestar GH

From School Buses to Bell Times: Driving Policy with Optimization

Boston Public Schools

Artificial Intelligence & Healthcare

301

Novel Computer-Aided Detection of Breast Cancer: Stalking the Serial Killer

Hamparsum Bozdogan, University of Tenneesse-Knoxville

Risk Management & Predictive Analytics

302

Dynamic Call Center Simulation at JPMorgan Chase: Reducing Disruptive Business Resiliency Testing

Jay Carini, JP Morgan Chase & Co.

Supply Chain

303

Mitigating Supply Chain Risk by Combining Internal, External, And Open Source Data Into A Single User Experience

Harrison Smith, PwC

Technology Tutorials

304

Model-Based Optimization + Application Programming = Streamlined Deployment in AMPL

AMPL

Technology Tutorials

305

A DOCplex and ODH|CPLEX Python Primer

Optimization Direct

Technology Tutorials

306

Simulation & Scheduling Software All in One!

Simio Simulation & Scheduling Software

5:00pm-6:00pm Women in OR/MS: Cocktails & Questions with Lora Cecere, Supply Chain Insights Brazos
4:40pm-5:30pm Networking Reception JW Grand Ballroom 1-4
6:00pm-7:00pm Honors Reception (Invitation Only) Lone Star GH
7:00pm-10:00pm Edelman Gala Lone Star A-E

Tuesday, April 16

7:00am-3:00pm Registration Lone Star Foyer
7:00am-9:00pm Mother’s Lounge 309
7:00am-8:00am Continental Breakfast Lone Star DE
7:00am-8:00am Analytics Section Awards Breakfast (Invitation Only) 211 & 212
7:00am-8:00am Women in OR/MS Networking Breakfast: Pay Negotiation Workshop with Jessica Dowches-Wheeler Brazos
8:00am-9:00am Welcome & Introduction: Mani Janakiram
Plenary Speaker: Anju Gupta, Head of Sustainability Campaign, Syngenta
The Role of Analytics in the Digital Era
Lone Star DE
9:00am-3:40pm Exhibits Open Griffin Hall
9:00am-5:00pm Career Fair Interviews (By Appointment) Griffin Hall
9:10am-10:00am

Track Sessions

Emerging Analytics

201

Quantum Computing – Why, What, When, How

Yianni Gamvros, QC Ware

Supply Chain Analytics

202

Reverse Logistics and Machine Learning: The Key to Predictive Repair

Thomas Maher, Dell Supply Chain

Marketing Analytics

203

Leveraging Chatbot Analytics to Drive Deeper Customer Engagement

Nishant Nishant, Avnet

Decision & Risk Analysis

204

The Art of Decision Framing and Uncertainty Analysis for Clarity of Action

Ellen Coopersmith, Decision Frameworks

Analytics in the Public Sector

205

Interactive Simulations in Support of Warfighters, Intel Analysts and Policy Makers

Sam L. Savage, ProbabilityManagement.org

Security

Lonestar GH

CHUPPET: Learn Simply with Simple Data Science

Matthew Powers, OPNAV

INFORMS Prizes & Special Sessions

301

IAAA Finalist: A Machine Learning Approach to Shipping Box Design jet.com/Walmart Labs

jet.com/Walmart Labs

InnoGPS: Innovation Global Positioning System

Singapore University of Technology and Design

Analytics Process

302

Why Most Analytics Projects Fail and How To Engage With Your Client For Success

Max Henrion, Lumina Decision Systems

Data Mining

303

Diagnosing Device Failures to Propose Appropriate Actions

Deepthi Dastari, Gogo LLC

Optimization

304

The Benefits of Lean Cell Design on Business Processes

Daria Migounova, Sun Life Financial

Technology Tutorials

305

Predictive and Prescriptive Analytics with MATLAB

MathWorks

Technology Tutorials

306

Combining Technology and Advanced Analytics to Master Risk

PwC

10:00am-10:30am Coffee Break with Exhibitors Griffin Hall
10:30am-11:20pm

Track Sessions

Emerging Analytics

201

Intuition is Unreliable, Analytics is Incomplete

Karl G. Kempf, Intel Corporation

Supply Chain Analytics

202

Using Data Analytics to Challenge Conventional Thinking

Jay Young and Daniel Windle, Trinity Rail

Marketing Analytics

203

Pricing and Revenue Management: Different Flavors for Different Industries

Daniel Reaume, Revenue Analytics, Inc.

Decision & Risk Analysis

204

Can We Do Better Than Garbage-In -Garbage-Out?

Dennis Buede, Innovative Decisions

Analytics in the Public Sector

205

Using Multiattribute Decision Analysis for Public-Sector Decisions

Roger Burk, United States Military Academy

Security

Lonestar GH

Modeling Vehicle Fleet Readiness: The Challenges of Mixed-Fidelity Simulation

Rob Wavra, McKinsey & Company

INFORMS Prizes & Special Sessions

301

IAAA Finalist: Machine Learning: Multi-Site Evidence-Based Best Practice Discovery

Center for Operations Research in Medicine and Healthcare

Taking Assortment Optimization from Theory to Practice: Evidence from Large Field Experiments on Alibaba

Washington University in Saint Louis

Analytics Process

302

Understanding The Impact Of Virtual Mirroring-based Learning On Collaboration In Data And Analytics Function: A Resilience Perspective

Nabil Raad, Ford Motor Company

Data Mining

303

Contracts Analytics on Cognitive Data Platform to Reduce Risk from Revenue Leakage: Consolidate, Convert & Classify

Pitipong Lin, IBM Corporation

Optimization

304

Combining Choice Modeling and Nonlinear Programming to Support Business Strategy Decisions

John Colias, University of Dallas and Decision Analyst

Technology Tutorials

305

Cost Benefit Analyses for Optimization Projects

Princeton Consultants

Technology Tutorials

306

Storytelling for Machine Learning and Advanced Analytics

DataRobot

11:30am-12:20pm

Track Sessions

Emerging Analytics

201

Explainable AI

Jari Koister, FICO

Supply Chain Analytics

202

ROMEO: A Fast and Transparent Framework for Multi-Echelon Inventory Analytics in Chemical Industries

Baptiste Lebreton, Eastman Chemical Company

Marketing Analytics

203

Managing All Pricing Levers

Maarten Oosten, Vistex

Decision & Risk Analysis

204

Precision Medicine vs. Accurate Medicine? A Critical Decision Fraught with Risk

Michael Liebeman, IPQ Analytics

Analytics in the Public Sector

205

Starting from Scratch – An Army “start-up”

LTC Cade Saie, U.S. Army Futures Command

Security

Lonestar GH

Stochastic Goal Programming to Optimize Army Cyber Branch Readiness and Manning Under Uncertainty

Col Andrew O. Hall, Army Cyber Institute, USMA

INFORMS Prizes & Special Sessions

301

IAAA Finalist: Transparent Machine Learning Models for Predicting Seizures in ICU Patients from cEEG Signals

University of Wisconsin, Duke University, Harvard University, and Massachusetts General Hospital, Westover

Using Advanced Analytics to Rationalize tail Spend Suppliers at Verizon

Verizon

Analytics Process

302

Pattern Identification and Analysis of Sensor Outputs by Combining Pattern Markov Chains and Explainable Machine Learning

Teddy Ko, NT Concepts

Data Mining

303

Optimal Imputation: Automated Data Quality Assurance and Improvement

Daisy Zhuo, Interpretable AI

Optimization

304

Optimizing Product-Site Qualifications in Western Digital’s Supply Network

Karla Hernandez, Western Digital

Technology Tutorials

305

Keep it Simple: Getting Analytics Results with Less Cost, Time and Risk

Frontline Solvers

Technology Tutorials

306

DTrio: The Next Generation of Decision Framing

Decision Frameworks

12:30pm-1:45pm Lunch & Awards
1:50pm-2:40pm

Track Sessions

Emerging Analytics

201

Detecting Tax Evasion: A Co-evolutionary Approach

Sanith Wijesinghe, The MITRE Corporation

Supply Chain Analytics

202

Using Classical Optimization and Advanced Analytics to Solve Supply Chain Problems

Steve Sommer, Llamasoft

Marketing Analytics

203

Aligning to Improve Data Analytics

Lora Cecere, Supply Chain Insights

Decision & Risk Analysis

204

Enrich Your Data with Better Questions

Katherine Rosback, Katherine Rosback Enterprises, Inc.

Analytics in the Public Sector

205

Process Mining: The Capability Every Organization Needs

John Bicknell, More Cowbell Unlimited, Inc.

Security

Lonestar GH

A Modeling Framework for Scenario-Based Portfolio Planning with Uncertainty

Shaun Doheney, Innovative Decisions, Inc. and Sam L. Savage, ProbabilityManagement.org

INFORMS Prizes & Special Sessions

301

UPS George D. Smith Prize winner

Analytics Process

302

Changing Cisco’s Marketing Behavior through Data Analytics

Viswanath Srikanth, Cisco

Data Mining

303

Anomaly Detection in the Wild

Bradford Tuckfield, American Express Global Business Travel

Optimization

304

Innovative Rolling Stock Scheduling in Railroad Operations: Optimizing Seat Probability

Erwin Abbink, Netherlands Railways

Technology Tutorials

305

16 Tips for Teaching Data Science and Analysis

Stukent

Technology Tutorials

306

Machine Learning with H2O for R Users

Purdue University

2:45pm-3:35pm Poster Session and Refreshment Break with Exhibits Griffin Hall
3:40pm-4:30pm Keynote: Reprise of 2019 Edelman Award Winner Lone Star DE
4:40pm-5:30pm

Track Sessions

Emerging Analytics

201

Optimal Pay Determination to Reach Diversity Goals

Margrét Bjarnadóttir, University of Maryland

Supply Chain Analytics

202

Anticipating a World of Automated Transport: Cost, Energy, and Urban System Implications

Kara Kockelman, University of Texas at Austin

Marketing Analytics

203

Deploying Product Recommendation Engines at Scale

Kenneth Sanford, evalld, LLC

Decision & Risk Analysis

204

Analyzing Social Media Data To Identify Cybersecurity Threats: Decision Making With Real-time Data

Ted Allen, The Ohio State University

Analytics in the Public Sector

205

Adopt Mission Focused Analytics to Drive Rapid and Comprehensive Data Discovery

Amy Hauck, Texas Department of Public Safety and Savita Raghunathan, Deloitte

Security

Lonestar GH

Security and Critical Infrastructure

W. Matthew Carlyle, Naval Post Graduate School

INFORMS Prizes & Special Sessions

301

2018 INFORMS Prize Reprise – BNSF Railway

Pooja Dewan and Juan Morales, BNSF Railway

Analytics Process

302

Analytics in Research and Practice: Finding Common Ground

Michael Gorman, University of Dayton

Data Mining

303

Applications of Machine Learning to IOT

Adam McElhinney, Uptake Technologies

Optimization

304

Optimizing Power Mix Trajectories for Long-Term Policy Making

Violette Berge, Artelys Canada Inc.

Technology Tutorials

305

Data Visualization and Machine Learning in SAS Viya

SAS Global Academic Program

Technology Tutorials

306

From Strategic to Real-Time Workforce Optimization: Improve Productivity and Service Levels through Advanced Analytics

DecisionBrain