Keynotes

2022 Keynote Panel

Keynote Panelist at 2022 WSC

Kenneth Lim

Assistant Chief Executive (Industry & Transformation), Maritime and Port Authority of Singapore
Keynote Panelist at 2022 WSC

Ngien Hoon Ping

Group CEO, SMRT
Keynote Panelist at 2022 WSC

Ong Kim Pong

Regional CEO, PSA International, Singapore

2022 Titans of Simulation

David Nicol will speak at 2021 WSC

Michael Fu

Smith Chair of Management Science Decision, Operations and Information Technologies
Robert H. Smith School of Business
University of Maryland

Stochastic Gradients: From Single Sample Paths to Conditional Monte Carlo to                              Machine Learning

Dr. Michael Fu will make a humble attempt to convey one perspective of his journey through nearly four decades of simulation methodology research focused on stochastic gradient estimation and simulation optimization, highlighting technical advances and some real-world success stories (mainly of others) and illustrating several techniques using simple examples, sprinkled in with personal anecdotes, some historical context, and random ramblings. Perhaps by the end of the talk, with the guidance of the audience, potential future sample paths can be envisioned or reimagined.

Andreas Tolk will speak at 2021 WSC

Leon McGinnis

Professor Emeritus
Georgia Tech

Reimagining Simulation in Discrete-Event Logistics Systems

Over fifty years ago, when McGinnis was coding simulation models in Fortran, he imagined that would be how he would always do it. Thankfully, smarter people imagined a different and better way of creating simulation models. Today, the challenge of applying simulation in large-scale, highly automated discrete-event logistics systems to create usable and effective digital twins is more than making the coding process faster and cheaper. It requires re-imagining the relationship between the real system and the simulation of it and re-imagining the relationship between the system stakeholders and the simulationists.

MASM Keynote

Tae Eog will speak at 2021 WSC

Koen de Backer

Vice President Smart Manufacturing & Artificial Intelligence,
Micron Technology

Chairman, Smart Manufacturing Council
SEMI Southeast Asia

Industry 4.0 Innovation in Semiconductor Planning and Operations

Industry 4.0 innovations in smart manufacturing and AI have demonstrated impact at scale in manufacturing semiconductor industry. The big data technology concept was started in quality and yield improvement. However, much attention was not given to planning and scheduling of semiconductor industry, which is a key of productivity improvement and customer demand satisfaction. Micron Technology is a world leader of semiconductor memory and data storage and has an initiative to drive Industry 4.0 for planning and scheduling pillar with smart manufacturing and artificial intelligence. This keynote will introduce the evolutionary steps of planning and scheduling systems to support smart manufacturing and digital transformation that leads to streamlined planning and scheduling to drive the productivity improvement and demand satisfaction using digital twin, optimization, artificial intelligence.​

Military Keynote

Robert Hunjet

Associate Professor
Associate Editor IEEE Transactions on Artificial Intelligence
Ag/Research Leader Protection and Networked Autonomy | Land Division
Defence Science and Technology Group
Department of Defence | Edinburgh

In Pursuit of Defense AI and Autonomous Systems

With rapid advances in Artificial Intelligence, we are seeing increased maturity in Robotics, and Autonomous Systems and Artificial Intelligence (RASAI) offerings, ranging from drones, through to higher degrees of autonomy in cars. But where are they in the military context? These systems are promised to remove humans from harm’s way. Why aren’t they ubiquitous in Defense? 

Building Defense RASAI is a tough ask. This talk explores some of the reasons why. It offers a perspective on why we are yet to see highly capable AI and Autonomous systems deployed in Defense scenarios; then explores how modelling and simulation might aid in the development and training of such systems.