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Welcome to Analytics for X 2022

The Institute of Operations Research and Analytics (IORA) of the National University of Singapore is proud to host the next edition of Analytics for X hybrid conference from 21-23 September 2022. Held at the new Innovation 4.0 building and virtually, Analytics for X will bring together researchers, educators, consultants, practitioners, and students to contribute to the Fourth Industrial Revolution conversation.

As an annual event, the conference aims to promote the regular enhancement and dissemination of knowledge related to operations research and analytics, as well as efficient industrial practices. Due to the continuing impact of COVID-19, the conference will be hybrid with on-site and on-line presentations. We have planned an exciting line up of Keynote speakers and local and International presentations.

This year’s event focusses on topics of Healthcare, Revenue Management and Analytic Methods and is supported by IORA and Temasek Foundation.

We invite you to join us for the talks and especially highlight the exciting Panel Discussion on Applications of Analytics in Healthcare which will include top Industry leaders, Policy makers and Academics. Please register for the event by clicking on the link below.

Conference Venue: i4-01-03 Seminar Room, Innovation 4.0, 3 Research Link, Singapore 117602

Any questions? Email us here.

Registration is closed

Abstract Submission is closed.

The submission results are released, feel free to contact us if you do not receive the email. We are close to finalising the conference program, please stay tuned. For the speakers, you may prepare for a 30-min presentation with a 5-min Q&A.

Keynote Speakers

Picture of Diwas KC

Diwas KC

Goizueta Foundation Term Professor of Information Systems & Operations Management
Emory University's Goizueta Business School

Picture of Vishal Gupta

Vishal Gupta

Associate Professor of Data Science & Operations

USC Marshall School of Business

Picture of Mohsen Bayati

Mohsen Bayati

Associate Professor of Operations, Information and Technology
Graduate School of Business, Stanford University

Picture of Omar Besbes

Omar Besbes

Vikram S. Pandit Professor
Decision, Risk & Operations
Columbia University, Graduate School of Business

DAY 1

21 September 2022

Wednesday

  • OPENING 09:00 - 09:10 AM
  • Vishal Gupta 09:10 - 10:30 AM

    Keynote Talk: The Small-Data, Large-Scale Optimization Regime Abstract

    USC Marshall School of Business

  • Break 10:30 - 11:00 AM
  • Will Ma (Online) 11:00 - 11:35 AM

    Simple and Order-optimal Correlated Rounding Schemes for Order Fulfillment Abstract

    Columbia University

  • Yuan Guo (Online) 11:35 AM - 12.10 PM

    A Customer Choice Model of Impulse Buying in Social Commerce Abstract

    Duke University

  • Yuxuan Tang (Onsite) 12:10 - 12:45 PM

    On A Mallows-type Model For (Ranked) Choices Abstract

    National University of Singapore

  • Lunch Break 12:45 - 2:00 PM
  • Anand Deo (Onsite) 2:00 - 2:35 PM

    Overcoming The Sample Complexity Barrier in Risk Analytics with Debiased Learning Abstract

    Singapore University of Technology and Design

  • Yuting Zhu (Onsite) 2:35 - 3:10PM

    Training Scalable Personalization Policies with Constraints Abstract

    National University of Singapore

  • Break 3:10 - 3:40 PM
  • Mohsen Bayati 3.40 - 5:00 PM

    Keynote Talk: On Data, Learning and Decision Making Abstract

    Stanford University

DAY 2

22 September 2022

Thursday

  • Omar Besbes 09:10 - 10:30 AM

    Keynote Talk: Data-driven decisions: how big should your data really be? Abstract

    Columbia University

  • Break 10:30 - 10:50 AM
  • Huaiyang Zhong (Online) 10:50 - 11:25 AM

    Impact of Vaccine Rollouts on Demand for Public Transportation Abstract

    Harvard University

  • Jinglong Zhao (Online) 11:25 AM - 12.00 PM

    Synthetic Controls for Experimental Design Abstract

    Boston University

  • Renyu Zhang (Online) 12:00 - 12:35 PM

    Deep Learning Based Casual Inference on Large-Scale Platforms Abstract

    Chinese University of Hong Kong

  • Lunch Break 12:35 - 2:00 PM
  • Jiatao Ding (Onsite) 2:00 - 2:35 PM

    Improving Access to Antimalarial Drugs in the Presence of Counterfeits Abstract

    INSEAD

  • Bingnan Lu (Onsite) 2:35 - 3:10PM

    Pooled Testing in the Presence of Congestion Abstract

    National University of Singapore

  • Sundara Natarajan Panchanatham (Onsite) 3:10 - 3:45 PM

    One too many: Inventory and Allocation Policies for effective maintenance of Cord Blood Banks Abstract

    INSEAD

  • Break 3:45 - 4:15 PM
  • Panel Discussion 4.15 - 5:15 PM

    Analytics in Healthcare

    Panelists
    Mohsen Bayati - Associate Professor of Operations, Information and Technology at Graduate School of Business, Stanford University
    Lam Shao Wei Sean - Head of Data Science, SingHealth Duke-NUS Academic Medical Centre
    Kelvin Bryan Tan - Director, Ministry of Health, Singapore
    Peter Tay Teng Choon - CEO, ALPS Healthcare
    Robert King - Director of Analytics - Operations, ResMed
    Joel Goh - Associate Professor, Department of Analytics and Operations, National University of Singapore
    Moderator
    Shrutivandana Sharma - IORA, National University of Singapore

DAY 3

23 September 2022

Friday

  • Diwas KC 09:00 - 10:20 AM

    Keynote Talk: Analytics for Operational Improvement in Healthcare Abstract

    Emory University

  • Break 10:20 - 10:30 AM
  • Minmin Zhang (Online) 10:30 - 11:05 AM

    The Spillover Effect of Suspending Non-essential Surgery Abstract

    University of Texas at Dallas

  • Tianmin Huo (Onsite) 11:05 - 11:40 AM

    Online Reusable Resource Allocation with Multi-class Arrivals Abstract

    National University of Singapore

  • Gang Guo (Onsite) 11:40 AM - 12:15 PM PM

    The Effect of Platform Dynamic Pricing Competition on Sellers Abstract

    National University of Singapore

  • Closing Remarks 12:15 - 12:25 PM

Organising Committee

Lyu Lixing
PhD Student
IORA
Tan Hong Ming
Lecturer
NUS
Rajiv K
Senior Research Fellow
Stephen Auyong
Senior Software Engineer