UConn Today – UConn School of Business professor David Bergman won $2.5 million this week in a fantasy football competition by using some of the data analytics knowledge and techniques he teaches students.
“I’m just shocked by the whole thing, but it’s very exciting,’’ says Bergman, who has been a faculty member in the operations and information management (OPIM) department for seven years. “I’ve played fantasy sports since I was in college and it’s such a fun hobby.’’Continue Reading
G. Duncan Harris, Interim CEO at Capital Community College, and his team, know the strengths and the struggles that many of their 3,300 students face on the path toward achieving their degrees.Continue Reading
For his outstanding work with the MSBAPM program and other initiatives, OPIM associate professor Jose Cruz will be awarded the Service Excellence Award from the UConn chapter of the American Association of University Professors (AAUP).Continue Reading
Hello to friends and colleagues across the country and around the world!
The beginning of a new academic year is filled with energy and excitement, both for our students and our faculty. This year that momentum is augmented by a team of new faculty members who bring both extensive research accomplishments and a love of teaching to UConn. Continue Reading
Lohud.com – Gasoline prices normally drop in autumn, but this September they’re falling even further thanks to the oil produced in the United States — some of it by hydraulic fracturing, one analyst said.
David Bergman, an assistant professor of Operations and Information Management in the School of Business, has been selected as the winner of this year’s Association for Constraint Programming Doctoral Thesis Award.
The annual award is given to a researcher who has completed his/her thesis in the area of constraint programming. Bergman will present his thesis at this year’s 20th International Conference on Principles and Practices of Constraint Programming in Lyon, France, in September.
Bergman’s thesis is titled, “New Techniques for Discrete Optimization,” and it explores new methodological approaches to discrete optimization problems, an area of operations research which finds an increasing number of applications in fields such as finance, healthcare, and logistics, to name just a few. His thesis provides both theoretical insights and important algorithmic discoveries which together improve upon existing state-of-the-art technology.
He completed his Ph.D. in 2013 at Carnegie Mellon University in Algorithms, Combinatorics, and Optimization, a joint program administered by the Tepper School of Business, the Department of Mathematical Sciences, and the Computer Science Department. Bergman’s thesis advisors were John N. Hooker and Willem-Jan van Hoeve.
An abstract of “New Techniques for Discrete Optimization” is available here.