373 citations · 1.1k across the 10 of their papers we have counts for
10 papers
Optimal Seat Allocation Under Social Distancing Constraints
Michael Barry, Claudio Gambella, Fabio Lorenzi +2
The Covid-19 pandemic introduces new challenges and constraints for return to work business planning. We describe a space allocation problem that incorporates social distancing con…
Quantum Computing for Finance: State of the Art and Future Prospects
Daniel J. Egger, Claudio Gambella, Jakub Marecek +6
This article outlines our point of view regarding the applicability, state-of-the-art, and potential of quantum computing for problems in finance. We provide an introduction to qua…
Multi-block ADMM Heuristics for Mixed-Binary Optimization on Classical and Quantum Computers
Claudio Gambella, Andrea Simonetto
Solving combinatorial optimization problems on current noisy quantum devices is currently being advocated for (and restricted to) binary polynomial optimization with equality const…
A city-scale IoT-enabled ridesharing platform
Claudio Gambella, Julien Monteil, Anton Dekusar +3
The advent of on-demand mobility systems is expected to have a tremendous potential on the wellness of transportation users in cities. Yet such positive effects are reached when th…
On model selection for scalable time series forecasting in transport networks
Julien Monteil, Anton Dekusar, Claudio Gambella +2
The transport literature is dense regarding short-term traffic predictions, up to the scale of 1 hour, yet less dense for long-term traffic predictions. The transport literature is…
Projections onto the Set of Feasible Inputs and the Set of Feasible Solutions
Claudio Gambella, Jakub Marecek, Martin Mevissen
We study the projection onto the set of feasible inputs and the set of feasible solutions of a polynomial optimisation problem (POP). Our motivation is increasing the robustness of…
On the needs for MaaS platforms to handle competition in ridesharing mobility
Venktesh Pandey, Julien Monteil, Claudio Gambella +1
Ridesharing has been emerging as a new type of mobility. However, the early promises of ridesharing for alleviating congestion in cities may be undermined by a number of challenges…
Real-time City-scale Ridesharing via Linear Assignment Problems
Andrea Simonetto, Julien Monteil, Claudio Gambella
In this paper, we propose a novel, computational efficient, dynamic ridesharing algorithm. The beneficial computational properties of the algorithm arise from casting the rideshari…
Optimization Problems for Machine Learning: A Survey
Claudio Gambella, Bissan Ghaddar, Joe Naoum-Sawaya
This paper surveys the machine learning literature and presents in an optimization framework several commonly used machine learning approaches. Particularly, mathematical optimizat…
Transmission-Constrained Unit Commitment
Claudio Gambella, Jakub Marecek, Martin Mevissen +3
The unit commitment with transmission constraints in the alternating-current (AC) model is a challenging mixed-integer non-linear optimisation problem. We present an approach based…