Milano (Italy) - Sept. 1st, 2025
We are pleased to announce the second workshop related to the PRIN2020 project ULTRAOPTYMAL, funded by MUR (Ministry of University and Research), which will be held in Casa Schuster, Milano (Italy) on September 1st, 2025. The workshop is a satellite event of the International Conference on Optimization and Decision Science (ODS2025, https://www.airoconference.it/ods2025/).
The aim of the workshop is to present the obtained results of the PRIN2020 ULTRAOPTYMAL project (ended in March 2025) as well as to foster further collaborations among academic experts on the topic of optimization under uncertainty and machine learning for sustainable urban mobility problems. The meeting will consist of a keynote speech and three sessions of talks given by scholars from the four research units of the projects and by international experts on the subject.
Participation to the workshop is free for anyone registered for the ODS2025 conference (see fees and deadlines at https://www.airoconference.it/ods2025/fees-registration).
If you wish to attend only the workshop, please contact the committee at ods2025@airoconference.it for specific instructions.
Early registration deadline: May 30th, 2025
Workshop: September 1st, 2025
School of Management,
University of Quebec in Montreal (Canada)
University of Bergamo (Italy)
University of Bergamo (Italy)
University of Bergamo (Italy)
Denmark Technology University (Denmark)
Università degli Studi di Brescia (Italy)
University of Calabria (Italy)
University of Milano-Bicocca (Italy)
University of Milano-Bicocca (Italy)
University of Milano-Bicocca (Italy)
University of Calabria (Italy)
University of Calabria (Italy)
Università degli Studi di Camerino (Italy)
The program will be available soon.
The workshop will be held in Casa Schuster, Milano (Italy), at the same venue of the ODS2025 conference.
Francesca Maggioni (University of Bergamo)
Daniele Manerba (University of Brescia)
Enza Messina (University of Milano-Bicocca)
Francesca Vocaturo (University of Calabria)
For further informations, contact us at ultraoptymal@gmail.com.