Mauro DELL'AMICO

Mauro DELL'AMICO is a Full Professor in the Department of Engineering Sciences and Methods at the University of Modena and Reggio Emilia (UNIMORE), where he serves as a leading member of the Operations Research Group. His academic position is formally within the Department of Engineering Sciences and Methods, with teaching assignments also extending to the Department of Engineering "Enzo Ferrari" for specific engineering programs.

Professor DELL'AMICO's research expertise centers on Operations Research (MATH-06/A), with a particular emphasis on combinatorial optimization and its practical applications. His work spans multiple critical domains including vehicle routing problems (especially drone-assisted delivery systems), scheduling theory, bin packing problems, and network optimization. A recent trend in his research involves the innovative integration of machine learning techniques with traditional optimization approaches to solve complex real-world logistics challenges. His publications consistently demonstrate how theoretical advances in operations research can be translated into practical solutions for transportation, manufacturing, and urban logistics systems.

Analysis of Professor DELL'AMICO's recent publication record (2023-2025) reveals a focused research trajectory addressing emerging challenges in logistics optimization. His extensive work on drone scheduling and vehicle routing problems represents cutting-edge contributions to last-mile delivery systems, while his papers on precedence-constrained arborescences and mathematical modeling demonstrate deep theoretical contributions to network optimization. The integration of self-supervised learning with combinatorial optimization, as showcased in his 2024 paper "Self-Labeling the Job Shop Scheduling Problem," illustrates his ability to bridge traditional operations research with modern artificial intelligence techniques.

Professor DELL'AMICO actively contributes to academic education through multiple courses across UNIMORE's engineering programs. He teaches "Operations Research" for Computer Engineering and Electronic Engineering students, "Fundamentals of Operations Research" for Management Engineering students, and "Simulation, control and optimization for energetics" for the Master's program in Energy Engineering. His teaching approach emphasizes practical applications of optimization techniques to real engineering problems, preparing students to tackle complex decision-making challenges in industry.

As a central figure in the UNIMORE Operations Research Group, Professor DELL'AMICO collaborates extensively with researchers across Europe on optimization projects with practical applications in transportation logistics, manufacturing systems, and sustainable urban mobility. His research has significant real-world impact, addressing challenges in electric vehicle infrastructure, urban delivery systems, and manufacturing optimization. The group maintains a strong focus on developing innovative mathematical models and solution algorithms for complex combinatorial problems encountered in engineering and business applications.