Analytics for
Health Care Finance Logistics Post COVID Social Good X

19 - 21 May 2021
30 Jun - 2 July 2021

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Welcome to Analytics for X 2021

The Institute of Operations Research and Analytics (IORA) of the National University of Singapore is proud to host the inaugural Analytics for X hybrid conference from 19 – 21 May 2021. 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 this year will be hybrid. It will last three days with academic and industry talks, and fireside chats planned. Sign up for our conference now!

 

 

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

Any questions? Email us at iora@nus.edu.sg.

Announcement!

Due to the recent development of COVID-19, the Singapore government has implemented stricter measures for on-site meetings. As such, we need to strike a balance between the required safety measures and conference attendee experience. To provide the conference participants face-to-face interactions as much as possible, we have decided to change our conference plan to the following:

Session 1:

19 – 21 May (09:00 AM to 11:30 AM)

Keynote Speakers sessions (on-line) 

Session 2:

30 June – 2 July 2021

Hybrid conference (both online and onsite) for keynote speaker (onsite) and all the paper presentations

All speakers will receive an e-mail with further information such as the date and time of their presentations and instructions on presenting their work.

Deadline for Pre-Recorded Video Submission: 31 May 2021 23:59 Singapore Time

Speakers

Dimitris Bertsimas is the Boeing Leaders for Global Operations Professor of Management, a Professor of Operations Research, and the Associate Dean for the Master of Business Analytics at MIT.

Internationally recognized as a top scholar in his field, Professor Shen is a Fellow of the Institute for Operations Research and the Management Sciences (INFORMS), the President-Elect of the Production and Operations Management Society (POMS), and a past President of the Society of Locational Analysis of INFORMS. 

Milind Tambe is Gordon McKay Professor of Computer Science and Director of Center for Research in Computation and Society at Harvard University; concurrently, he is also Director “AI for Social Good” at Google Research India. 

Marc is the Managing Director of Reefknot Investments, a Global Venture Capital firm, focusing on Supply Chain and Logistics Technology start-ups.  

Nicole’s research lies broadly within the field of economics and computation. Using tools and modeling concepts from both theoretical computer science and economics, Nicole hopes to explain, predict, and shape behavioral patterns in various online and offline systems, markets, and games. Her areas of specialty include social networks and mechanism design. 

Matt Taddy is Vice President for Economic Technology and North America Chief Economist at Amazon.com. Previously, from 2008-2018 he was a Professor of Econometrics and Statistics at the University of Chicago Booth School of Business, where he developed their Data Science curriculum. 

Session 1

Session 2

DAY 1

30 June 2021

Wednesday

VIDEO PRESENTATIONS

  • Learning Equilibrium Mean-Variance Strategy
  • Accurate Information Better? Sharing Commitment and Capacity Allocation under Supply Competition
  • Implementation of Strengthened brainwave signals
  • Feature-Based Nonparametric Inventory Control with Censored Demand
  • Dynamic Programming-Based Split Algorithm for Solving the Multi-Trip Time-Dependent Multi-Vehicle Routing Problem
 
Q and A for Video Presentations: 01:00 – 01:20 PM SGT

DAY 2

1 July 2021

Thursday

VIDEO PRESENTATIONS: 

  • The Two-Echelon Vehicle Routing Problem with Relay Points and Occasional Drivers: Formulation and An Adaptive Large Neighborhood Search
  • Replenishment cycle based on SKU classification in Robotic Mobile Fulfillment System
  • Economic Feasibility of Floating Offshore Wind Systems considering Technology, Depth of Sea Level and Distance to Shore
  • Automated Taxi Queue Management at High-Demand Venues
  • System Dynamics Analysis on the effectiveness of the vaccination and social mobilization Policy for COVID-19 in United States
 
Q and A for Video Presentations: 01:00 – 01:20 PM SGT