Maryland Smith’s Michael Fu has won the 2021 INFORMS Saul Gass Expository Writing award, becoming only the second Maryland Smith professor to earn the distinction.

Maryland Smith’s Michael Fu received a National Science Foundation grant for research to improve kidney transplants. The project combines technological advances in medical science with operations research and artificial intelligence-based approaches to dramatically improve the kidney donor-recipient matching process to lead to better outcomes for end-stage kidney disease patients.

A study of the world’s top researchers identifies 18 from the University of Maryland’s Robert H. Smith School of Business in the top 2% of the most-cited scholars and scientists worldwide.

The Air Force Office of Scientific Research (AFOSR) recently awarded Maryland Smith professor Michael Fu a grant to continue his study of search methods for simulation-based optimization.

The University of Maryland’s Robert H. Smith School of Business is excited to announce some favorite books in the 14th Annual Top-10 Summer Reading List for Business Leaders for 2017, as recommended by faculty members. (1) The Undoing Project: A Friendship that Changed Our MindsBy Michael Lewis (2016)

SMITH BRAIN TRUST — A computer created by Google engineers knocked off one of the world's greatest human players of the Chinese game Go this week — a landmark in the development of artificial intelligence. In doing so, it made use of an approach to the computerized analysis of decision-making first developed at the Smith School and Maryland's engineering school.

Michael Fu, Ralph J. Tyser Professor of Management Science at the Robert H. Smith School of Business, with UMD colleague Steven Marcus, has received a $340K grant from the National Science Foundation to develop a new framework for incorporating risk into sequential decision-making under uncertainty.

For B2B sellers, knowing how much the buyer is willing to pay is difficult. New research from Maryland Smith is helping to figure it out.

New predictive model is helping decision makers better forecast the spread of the COVID-19 pandemic.