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) |
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11:00am-12:45pm |
Technology Workshops 301 Recent Advances on Large Scheduling Problems in CP Optimizer, Multiobjective Optimization in CPLEX303 Turning Algorithms Into Applications to Put AI in the Hands of Enterprise Teams Faster than Ever306 Map-Reduce for Optimization: Build and Deploy Optimization Decomposition on Distributed Resources in the Cloud |
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12:00pm-4:30pm | UPS George D. Smith Competition | 201 |
1:00pm-2:45pm |
Technology Workshops 306 New Innovations: Cloud Computing, Real-Time Scheduling, Industry 4.0, and More |
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12:00pm-6:00pm | Analytics Career Fair | JW Grand Ballroom 1 & 2 |
3:00pm-4:45pm |
Technology Workshops 303 Adding Optimization to Your Applications, Quickly and Reliably: From Prototyping to Integration with AMPL306 Calling all OR Heroes: Learn How to Model and Deploy Solutions in 75% Less Time with FICO® Xpress Insight |
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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 Revenue Management & Pricing 204 Behavioral Influences in Procurement Auctions & Pricing DecisionsWedad Elmaghraby, University of Maryland INFORMS Prizes & Special Sessions 205 2018 Wagner Prize Reprise: Analytics and Bikes: Cornell Rides Tandem with Motivate to Improve MobilityCornell University 2019 Franz Edelman Award Competition Lonestar GH Dynamic Customized E-Commerce Fraud Detection System for Profit OptimalityMicrosoft Artificial Intelligence & Healthcare 301 Optimal Classification and Regression TreesJack Dunn, Interpretable AI Risk Management & Predictive Analytics 302 Increasing Economic Sustainability of Electric Power Planning Under UncertaintyGianmaria Leo, IBM Technology Tutorials 305 Introduction to Text Analytics Approaches used for Business Analytics to Quickly Extract Insights |
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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 Revenue Management & Pricing 204 Fandango 360: Data Driven Movie Marketing and Content Recommendations PlatformReeto Mookherjee, Fandango INFORMS Prizes & Special Sessions 205 Freestyle O.R. Supreme Data Hackathon Finalists2019 Franz Edelman Award Competition Lonestar GH Vattenfall Gets Hundreds of Millions in Gains Through the Application of Operations Research for Offshore Wind Farm DesignVattenfall Artificial Intelligence & Healthcare 301 Identifying Suspicious Financial Activity Using Machine LearningSanjay Melkote, U.S. Bank Risk Management & Predictive Analytics 302 Crowdsourcing Analytics: Case Study of the Fishing for Fishermen Maritime Data ChallengePaul Shapiro, National Defense University Supply Chain 303 Analytics in Compliance Risk Management – An Adaptive and Recursive Approach Using Machine-Learning MethodsJonathan Yan, Dun & Bradstreet Technology Tutorials 305 Power Systems Optimization and Price Forecast with Artelys CrystalTechnology Tutorials 306 Using AnyLogic Simulations as a Training Environment for Deep Reinforcement Learning |
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11:30am-12:20pm |
Track Sessions Emerging Analytics 201 Driving Transparency & Eliminating Reconciliations Across Your Enterprise Value Chain Using BlockchainSharad Malhautra, Ernst & Young Implementing Analytics 202 Analytics Impact: Like a Marathon, the Last Mile is the HardestJeff Camm, Wake Forest Analytics Leadership 203 Why Effective Data Science Needs Human-centered DesignJim Guszcza, Deloitte Consulting Revenue Management & Pricing 204 Dynamic Pricing of Omni-channel InventoriesPavithra Harsha, IBM Research INFORMS Prizes & Special Sessions 205 Certified Analytics Professional: CAP® Program Overview PanelModerator: Zahir Balaporia, FICO 2019 Franz Edelman Award Competition Lonestar GH RIMAS: Safer Skies in SpainSpanish Aviation Safety and Security Agency (AESA) Artificial Intelligence & Healthcare 301 Delivering Impact and Developing The Analytics Roadmap at Memorial Sloan Kettering’s Department of SurgeryChristopher Stromblad, Memorial Sloan Kettering Cancer Center Risk Management & Predictive Analytics 302 Improving Traceability to US Air Force Capability AssessmentsCalvin Bradshaw, HQ Materiel Command Supply Chain 303 Closing the Gap Between Forecasting and Inventory ManagementJoshua Hale, Intel Corporation Technology Tutorials 306 Optimization and Machine Learning – A Match Made in Data Science Heaven! |
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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 PeopleJames Pennebaker, University of Texas at Austin Revenue Management & Pricing 204 Revenue Management & Pricing in the Car Rental IndustryMontgomery Blair, Hertz INFORMS Prizes & Special Sessions 205 Freestyle O.R. Supreme Data Hackathon Finalists2019 Franz Edelman Award Competition Lonestar GH Csoft®: Innovative Solution for the Real-time Control of Sewer NetworksLouisville Metropolitan Sewer District and Tetra Tech Artificial Intelligence & Healthcare 301 Developing Machine Learning Applications in an Agile EnvironmentMary McGuire, University of Texas MD Anderson Cancer Center Risk Management & Predictive Analytics 302 Application of Text Analysis to Quality Control of Operational Document SetsThor Osborn, Sandia National Labs Supply Chain 303 Variance-Damping or Variance-Amplifying? A Look at Analytics in the Supply ChainClark Pixton, Brigham Young University Technology Tutorials 305 Using JMP: Mining Unstructured Text Data for Meaningful InsightsTechnology Tutorials 306 End-to-End FICO® Xpress Insight Tutorial: From Data to Decisions for Non-Technical Business Users |
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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 DealsIBM |
Griffin Hall |
3:05pm-3:35pm | CAPs & Coffee | 213 |
3:40pm-4:30pm |
Track Sessions Implementing Analytics 202 Implementing Analytics to Automate Decisions at ScaleSagar 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 IndustryHunkar Toyoglu, Sabre Airline Solutions INFORMS Prizes & Special Sessions 205 The Value of CAP®Moderator: Anne Robinson, Kinaxis 2019 Franz Edelman Award Competition Lonestar GH From School Buses to Bell Times: Driving Policy with OptimizationBoston Public Schools Artificial Intelligence & Healthcare 301 Novel Computer-Aided Detection of Breast Cancer: Stalking the Serial KillerHamparsum Bozdogan, University of Tenneesse-Knoxville Risk Management & Predictive Analytics 302 Dynamic Call Center Simulation at JPMorgan Chase: Reducing Disruptive Business Resiliency TestingJay Carini, JP Morgan Chase & Co. Supply Chain 303 Mitigating Supply Chain Risk by Combining Internal, External, And Open Source Data Into A Single User ExperienceHarrison Smith, PwC Technology Tutorials 304 Model-Based Optimization + Application Programming = Streamlined Deployment in AMPLTechnology Tutorials 306 Simulation & Scheduling Software All in One! |
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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 Supply Chain Analytics 202 Reverse Logistics and Machine Learning: The Key to Predictive RepairThomas Maher, Dell Supply Chain Marketing Analytics 203 Leveraging Chatbot Analytics to Drive Deeper Customer EngagementNishant Nishant, Avnet Decision & Risk Analysis 204 The Art of Decision Framing and Uncertainty Analysis for Clarity of ActionEllen Coopersmith, Decision Frameworks Analytics in the Public Sector 205 Interactive Simulations in Support of Warfighters, Intel Analysts and Policy MakersSam L. Savage, ProbabilityManagement.org INFORMS Prizes & Special Sessions 301 IAAA Finalist: A Machine Learning Approach to Shipping Box Design jet.com/Walmart Labsjet.com/Walmart Labs InnoGPS: Innovation Global Positioning SystemSingapore University of Technology and Design Analytics Process 302 Why Most Analytics Projects Fail and How To Engage With Your Client For SuccessMax Henrion, Lumina Decision Systems Optimization 304 The Benefits of Lean Cell Design on Business ProcessesDaria Migounova, Sun Life Financial |
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10:00am-10:30am | Coffee Break with Exhibitors | Griffin Hall |
10:30am-11:20pm |
Track Sessions Emerging Analytics 201 Intuition is Unreliable, Analytics is IncompleteKarl G. Kempf, Intel Corporation Supply Chain Analytics 202 Using Data Analytics to Challenge Conventional ThinkingJay Young and Daniel Windle, Trinity Rail Marketing Analytics 203 Pricing and Revenue Management: Different Flavors for Different IndustriesDaniel 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 DecisionsRoger Burk, United States Military Academy Security Lonestar GH Modeling Vehicle Fleet Readiness: The Challenges of Mixed-Fidelity SimulationRob Wavra, McKinsey & Company INFORMS Prizes & Special Sessions 301 IAAA Finalist: Machine Learning: Multi-Site Evidence-Based Best Practice DiscoveryCenter for Operations Research in Medicine and Healthcare Taking Assortment Optimization from Theory to Practice: Evidence from Large Field Experiments on AlibabaWashington University in Saint Louis Analytics Process 302 Understanding The Impact Of Virtual Mirroring-based Learning On Collaboration In Data And Analytics Function: A Resilience PerspectiveNabil Raad, Ford Motor Company Data Mining 303 Contracts Analytics on Cognitive Data Platform to Reduce Risk from Revenue Leakage: Consolidate, Convert & ClassifyPitipong Lin, IBM Corporation Optimization 304 Combining Choice Modeling and Nonlinear Programming to Support Business Strategy DecisionsJohn Colias, University of Dallas and Decision Analyst |
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11:30am-12:20pm |
Track Sessions Supply Chain Analytics 202 ROMEO: A Fast and Transparent Framework for Multi-Echelon Inventory Analytics in Chemical IndustriesBaptiste Lebreton, Eastman Chemical Company Decision & Risk Analysis 204 Precision Medicine vs. Accurate Medicine? A Critical Decision Fraught with RiskMichael 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 UncertaintyCol 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 SignalsUniversity of Wisconsin, Duke University, Harvard University, and Massachusetts General Hospital, Westover Using Advanced Analytics to Rationalize tail Spend Suppliers at VerizonVerizon Analytics Process 302 Pattern Identification and Analysis of Sensor Outputs by Combining Pattern Markov Chains and Explainable Machine LearningTeddy Ko, NT Concepts Data Mining 303 Optimal Imputation: Automated Data Quality Assurance and ImprovementDaisy Zhuo, Interpretable AI Optimization 304 Optimizing Product-Site Qualifications in Western Digital’s Supply NetworkKarla Hernandez, Western Digital Technology Tutorials 305 Keep it Simple: Getting Analytics Results with Less Cost, Time and Risk |
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12:30pm-1:45pm | Lunch & Awards | |
1:50pm-2:40pm |
Track Sessions Emerging Analytics 201 Detecting Tax Evasion: A Co-evolutionary ApproachSanith Wijesinghe, The MITRE Corporation Supply Chain Analytics 202 Using Classical Optimization and Advanced Analytics to Solve Supply Chain ProblemsSteve Sommer, Llamasoft Decision & Risk Analysis 204 Enrich Your Data with Better QuestionsKatherine Rosback, Katherine Rosback Enterprises, Inc. Analytics in the Public Sector 205 Process Mining: The Capability Every Organization NeedsJohn Bicknell, More Cowbell Unlimited, Inc. Security Lonestar GH A Modeling Framework for Scenario-Based Portfolio Planning with UncertaintyShaun Doheney, Innovative Decisions, Inc. and Sam L. Savage, ProbabilityManagement.org INFORMS Prizes & Special Sessions 301 UPS George D. Smith Prize winnerAnalytics Process 302 Changing Cisco’s Marketing Behavior through Data AnalyticsViswanath Srikanth, Cisco Data Mining 303 Anomaly Detection in the WildBradford Tuckfield, American Express Global Business Travel Optimization 304 Innovative Rolling Stock Scheduling in Railroad Operations: Optimizing Seat ProbabilityErwin Abbink, Netherlands Railways |
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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 GoalsMargrét Bjarnadóttir, University of Maryland Supply Chain Analytics 202 Anticipating a World of Automated Transport: Cost, Energy, and Urban System ImplicationsKara Kockelman, University of Texas at Austin Marketing Analytics 203 Deploying Product Recommendation Engines at ScaleKenneth Sanford, evalld, LLC Decision & Risk Analysis 204 Analyzing Social Media Data To Identify Cybersecurity Threats: Decision Making With Real-time DataTed Allen, The Ohio State University Analytics in the Public Sector 205 Adopt Mission Focused Analytics to Drive Rapid and Comprehensive Data DiscoveryAmy Hauck, Texas Department of Public Safety and Savita Raghunathan, Deloitte Security Lonestar GH Security and Critical InfrastructureW. Matthew Carlyle, Naval Post Graduate School INFORMS Prizes & Special Sessions 301 2018 INFORMS Prize Reprise – BNSF RailwayPooja Dewan and Juan Morales, BNSF Railway Analytics Process 302 Analytics in Research and Practice: Finding Common GroundMichael Gorman, University of Dayton Optimization 304 Optimizing Power Mix Trajectories for Long-Term Policy MakingViolette Berge, Artelys Canada Inc. Technology Tutorials 305 Data Visualization and Machine Learning in SAS ViyaTechnology Tutorials 306 From Strategic to Real-Time Workforce Optimization: Improve Productivity and Service Levels through Advanced Analytics |