ISyE Seminar Series: Michael C. Ferris

Michael C Ferris

"Resilience, Robustness and Performance"

Presentation by Michael C. Ferris
John P. Morgridge Chair, Jacques-Louis Lions Professor of Computer Sciences
University of Wisconsin, Madison

Wednesday, April 27
3:00pm - Reception
3:30pm - Graduate Seminar
Ford Hall, Room 110

About the seminar:

Resilience, robustness and performance are objectives that underpin optimization problems. We outline a broad framework that captures these notions and draw in examples from many areas (including biology, environmental and economic settings) with an aim to facilitate cross-disciplinary research. Specific attention will be given to energy modeling and vaccination, how uncertainty can be treated, and how actions and decision processes can be adapted for different settings. This is joint work with Jeff Linderoth.


Michael C. Ferris holds the John P. Morgridge Chair in Computer Sciences, and is the Jacques-Louis Lions Professor of Computer Sciences at the University of Wisconsin, Madison, USA. He is the Director of the Data Sciences Hub within the Wisconsin Institutes for Discovery. He received his PhD from the University of Cambridge, England in 1989.

Dr. Ferris’ research is concerned with algorithmic and interface development for large scale problems in mathematical programming, including links to the GAMS and AMPL modeling languages, and general purpose software such as PATH, NLPEC and EMP. He has worked on many applications of both optimization and complementarity, including Covid vaccine delivery, cancer treatment planning, energy modeling, economic policy, traffic and environmental engineering, video-on-demand data delivery, structural and mechanical engineering.

Ferris is a SIAM fellow, an INFORMS fellow, received the Beale-Orchard-Hays prize from the Mathematical Programming Society and is a past recipient of a NSF Presidential Young Investigator Award, and a Guggenheim Fellowship. He serves on the editorial boards of Informs Journal on Computing and Optimization Methods and Software.


Start date
Wednesday, April 27, 2022, 3 p.m.
End date
Wednesday, April 27, 2022, 4:30 p.m.

Ford Hall
Room 110