Associate Professors

Associate professor of Operations Research at Unical since 2003. In 2013, she qualifi ed as Full Professor in Operations Research (national qualifi cation). In February 2000 she obtained a PhD in System Engineering and Computer Science at Unical. She was research assistant at Unical in Operations Research from 2001 to 2003. She was visiting research fellow at RUTCOR – Rutgers Center of Operations Research, Rutgers University, USA and at the Faculty of Commerce and Business Administration of the Vancouver University, Canada. She is the author of 50 publications on prestigious journals in the Operations Research fi eld. She was member and manager of several national and international research projects. She is a member of the DIMEG committee.

Beraldi, P., Bruni, M.E., Laganà, D., Musmanno, R. The risk-averse traveling repairman problem with profits, Soft Computing 23/9 (2019) 2979-2993. 
P. Beraldi, A. Violi, M.E. Bruni, G. Carrozzino, A stochastic programming approach for the optimal management of aggregated distributed energy resources, Computers and Operations Research 96 (2018) 200-212. 
M.E. Bruni, L. Di Puglia Pugliese, O. Beraldi, F. Guerriero, An adjustable robust optimization model for the resource-constrained project scheduling problem with uncertain activity durations, Omega (2017) 66-84.
M.E. Bruni, L. Di Puglia Pigliese, O. Beraldi, F. Guerriero, A computational study of exact approaches for the adjustable robust resource-constrained project scheduling problem, Computers and Operations Research 99 (2018) 178-190. 
P. Beraldi, M.E. Bruni, D. Manerba, R. Mansini, A stochastic programming approach for the traveling purchaser problem, IMA Journal of Management Mathematics 28/1 (2017) 41-63.

• Stochastic Programming
The research activity carried out in this fi eld concerns the study of the theoretical properties and the design of innovative methods for solving stochastic programming problems defi ned according to the paradigm of chance constraints and/or recourse (two and multistage
• Models and solutions methods for different application problems
This research activity refers to the defi nition and solution of mathematical models under uncertainty for addressing problems of practical relevance arising in different application contexts. Among them, we mention Logistics, Health care management systems, Energy, Economics and Finance
• Data Envelopment Analysis
This research activity refers to the defi nition of new DEA models under uncertainty. In particular, both the two-stage and probabilistic approach are taken into account.

Several topics are currently available. Interested students are suggested to drop by during office hours.