Andrea Lodi

Andrea Lodi

Canada Excellence Research Chair in Data Science for Real-Time Decision-Making

Polytechnique Montréal


Real-time decision-making tools in the era of “big data”

In our world of connection and mobility, we are generating phenomenal quantities of data. Its sources range from smart phones, social networks and online transactions to digital imagery, geopositioning systems, and many others. The information can be valuable raw material for organizations. However, its multiplicity can make decision-making hugely complex, and existing tools don’t allow decision-makers to use all this data effectively in real time.

Dr. Andrea Lodi, Canada Excellence Research Chair in Data Science for Real-Time Decision-Making, and his team’s work to develop new tools and methodologies will allow enormous volumes of data from multiple sources to be processed and analyzed in real time—in order to obtain useable knowledge and to automate decision-making.

By combining processes for analyzing highly targeted data and real-time decision-making, their mathematical model-based tools will help organizations improve performance, by creating highly customized outputs and taking into account the environments, needs and individual behaviours of their clients or users. The tools will also help improve supply processes and resolve unforeseen problems.

The applications that result will foster new business models that are based on accurate depictions of user behaviours and expectations, combined with competitors’ responses. The many sectors that could benefit include transportation management, energy, health care and manufacturing, as well as supply chain management and logistics.

Lodi’s projects have already piqued considerable interest among numerous industrial partners.

With a multidisciplinary approach benefiting from the collaboration of research teams around the world, Lodi is also helping advance combined knowledge in various disciplines, including constraint-programming; automatic learning; statistics; data-mining; heuristic and metaheuristic methods; and discrete event simulations.

“Polytechnique Montréal and its campus partners, the Université de Montréal and HEC Montréal, have acquired a wealth of expertise and an international reputation in operations research and data science over the past decades. In this field, we have one of the largest pools of professors and researchers in the world. We are thrilled to welcome the new Canada Excellence Research Chair in Data Science for Real-Time Decision-Making, Professor Andrea Lodi, who is considered to be one of the most promising researchers in the field.”

― Christophe Guy, Chief Executive Officer
Polytechnique Montréal

Biography

Dr. Andrea Lodi is a leading international researcher in mixed linear and nonlinear programming. As Canada Excellence Research Chair in Data Science for Real-Time Decision-Making at Polytechnique Montréal, he holds Canada’s main chair in operations research.

Before joining the Polytechnique, Lodi was a professor in operations research in the faculty of electrical and information engineering at Italy’s University of Bologna. He earned his doctorate in systems engineering from this same university in 2000.

Lodi is interested in developing new models and algorithms that would make it possible to process a large quantity of data from multiple sources both rapidly and effectively. Through his research, he is looking for solutions designed to improve the electricity market, rail transport logistics, and health-care planning.

Lodi’s innovative work has earned him several awards, including the Google Faculty Research Award in 2010 and the IBM Faculty Award in 2011. In 2005 and 2006, he was a fellow in the prestigious Herman Goldstine program at the IBM Thomas J. Watson Research Center in New York.

In addition to co-ordinating several large-scale European projects in operations research, Lodi has also acted as a consultant for the IBM CPLEX research and development team since 2006. He has authored more than 70 publications in top mathematical programming journals; and has served as associate editor for several of these journals.