Michael Fu

Past Awards

Saul Gass Expository Writing Award: Winner(s)
2021 - Winner(s)

Professor Michael Fu is a very creative researcher who has extensively written for the INFORMS community during the last three decades. His 200+ writings primarily address the role of simulation in optimization methods. Building on his stellar research output, which has been recognized by five best paper or outstanding publication awards, Professor Fu has written numerous highly impactful expository tutorials.

For example, Professor Fu's 2002 INFORMS Journal on Computing article titled "Optimization for simulation: Theory vs. practice" provided the foundation for bringing together the two communities of optimization and simulation. It also addressed the question of connecting research to practice, specifically software. Due in no small part to Professor Fu's insights, every simulation software package today incorporates simulation optimization into their platform.

For his outstanding contributions to the INFORMS community, and skill at exposing to a general audience the tenets of modern optimization and simulation, Michael Fu richly deserves the Saul Gass Award.

Outstanding Simulation Publication Award: Awardee(s)

Distinguished Service Award: Awardee(s)

INFORMS Elected Fellows: Awardee(s)

Outstanding Simulation Publication Award: Awardee(s)
Winning material: Conditional Monte Carlo: Gradient Estimation and Optimization Applications. Boston: Kluwer Academic Press. 1997.