MAO group - Models and Algorithms for Optimization

Dept. of Information Engineering                                                                      University of Brescia


Dip. di Ingegneria dell'Informazione
Universita' degli Studi di Brescia
via Branze, 38
25123, Brescia

+39 030 371 5448
+39 030 371 5935
+39 030 371 5757

Since 2007, MAO is the Operational Reserch group working at the Department of Information Engineering of the University of Brescia, Italy. It is part of the inter-departmental group OR@BRESCIA (University of Brescia, Italy).

Responsability & Lead

ULTRA OPTYMAL - Urban Logistics and TRAnsportation: OPtimization under uncertainTY and MAchine Learning [2022-2025]

ULTRA OPTYMAL deals with environmentally sustainable freight transportation and related logistics activities in unban areas, with a particular attention to the issues generated from the uncertainty intrinsically connected to such processes. Through fruitful integration of stochastic programming, robust optimization, and machine learning techniques, the project pursues the following 3 main research goals: 1) Optimizing unban distribution planning 2) Integrating sustainable transport modes and delivery options 3) Solving reverse logistics problems. Type: PRIN2020 project. Official website

Collaboration ASST-Spedali Civili di Brescia and DII-UNIBS [2021-2022]

The collaboration is finalized to support the use of the internal databases, in order to produce analyses useful for planning/organization of the clinic activities. Type: Accordo quadro con Spedali Civili di Brescia

AIACCIO - Advanced Integrated Assistance for Colorectal Cancer: Interventive Options [2015-2018]

AIACCIO aims at renewing and improving the overall diagnostic and interventive process of care of the colo-rectal cancer through a multi-disciplinary and multi-level approach involving medical and engineering actors. The group contributions consist in analysing and enhancing the current process, with particular attention to the interactions among actors (doctors, assistants, psico-oncologists) and at developing and testing a new ad-hoc information system able to collect all the useful data for the process and to support actors in their medical operations and decisions. Official website


MoSoRe - Infrastrutture e servizi per la Mobilita' Sostenibile e Resiliente [2020-2022]

MoSoRe aims at investigating the resilience and sustainability of mobility infrastructures, providing solutions for road services, EV charging stations, ICT systems, and a new vector allowing the users to move safely and timely, even under emergency situations. The group contributes to the develpment of a drone, optimizing the trade-off between its efficiency and energy consumption. Official website

BIOMASS HUB - Biometano per una Societa' Sostenibile [2020-2022]

BIOMASS HUB aims at developing a technological and integrated hub for waste treatment and circular processes of green energy generation and management. Type: Regione Lombardia - Call Hub Ricerca e Innovazione. Official website

Virtual eGateway [2015-2019]

Development of a domestic gateway for the interactive management of energy flows through an innovative approach that actively involves the customer in the energy management. The solution is realized using cloud-computing approach, used to collect and visualize the measurements of domestic energy consumption. Type: S.IN. - Social INnovation (00665)


The project aims at developing efficient and sustainable cities and to offer a better quality of life. This is done through the progressive introduction of technologies and solutions, the development of processes, products and services, sustainable even in the long term, and an integrated approach embracing many issues and subjects at all levels in a bottom-up fashion. Type: Bando MIUR 2012 (DD591/2012) - Smart Cities and Communities, SCN_00416. Official website

SCUOLA - Smart Campus as Urban Open LAbs [2014-2015]

SCUOLA aims at developing and experimenting in different universities a new Energy Management System (EMS) able to integrate and coordinate different aspects related to Smart Grids, renewable energy generation and communication technologies. The group contributions consist in studying, developing, and solving mathematical models that optimize the complex problem of coordinating all the elements of the grid. Official website