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Maria Grazia ScutellaView profile

Professor

• Combinatorial Optimization
• Robust Optimization
• Network design and routing
• +5 more

Roles & Affiliations: Full Professor at the Department of Computer Science, University of Pisa. Served as Vice Director of the Department (2020–2024). Active in editorial roles for journals like Networks and Computers & Operations Research . Education: Laurea in Information Science (University of Pisa, 1985, cum laude), PhD in Computer Science (University of Pisa, 1990). Qualified as Full Professor in Operations Research (2013). Research Focus: Specializes in Combinatorial Optimization, Robust Optimization, Network Design, and Logistics. Key contributions include green wireless networks, home care optimization, and vehicle routing. Awarded the Best Paper in Omega (2018) and recognized for seminal work in Discrete Applied Mathematics (1998). Teaching: Teaches courses in Operations Research, Logistics, and Network Optimization at both undergraduate and graduate levels, including international programs. Grants & Projects: Led national and international projects, including PNRR initiatives on sustainable mobility and IREAD-4.0 for warehouse optimization. Collaborated with industries like Softec S.r.l. and Siemens. Professional Activities: Organized major conferences (e.g., INOC 2009). Served on editorial boards and scientific committees for AIRO, INOC, and other networks. Active in mentoring doctoral students and fostering academic-industrial partnerships.

Francesca VocaturoView profile

Associate Professor

• Operations Research
• Logistics
• Optimization
• +4 more

Francesca Vocaturo serves as Associate Professor of Operations Research at the University of Calabria's Department of Economics, Statistics and Finance (DESF), where she has maintained continuous academic affiliation since 2003. Her teaching portfolio includes Operations Research for Master's programs in Business Administration and Management, and Mathematical Methods for Economics for undergraduate Economics students, with documented teaching loads of 63+ hours annually through the 2024/25 academic year. Her research expertise centers on Logistics Optimization with specialized focus on stochastic vehicle routing, urban transportation systems, and crowdshipping applications. Key methodological contributions span combinatorial optimization, dynamic programming, and simulation-based approaches to solve complex logistics challenges under uncertainty. Current projects integrate machine learning with optimization frameworks for sustainable mobility solutions. Recent publication trends (2021-2025) reveal concentrated advancement in dynamic logistics systems , particularly crowdshipping models, real-time inventory routing, and risk-aware transportation planning. Her work bridges theoretical algorithm development with practical applications in postal services, hazardous material transport, and public transit optimization. Notable recognition includes: Editors' Choice Article selection by the European Journal of Operational Research (2020) She has supervised 26 Master's theses in Business Administration covering topics from inventory management to green logistics, plus the PhD dissertation of Sara Stoia on crowdshipping. As Local Coordinator for the national PRIN2020 project ULTRA OPTYMAL , she leads research on optimization under uncertainty for urban logistics, while previously contributing to projects like SOLIDO (industrial logistics) and GREENPLAN (workforce optimization). Vocaturo actively collaborates with the TESEO laboratory (Tecnologie di Simulazione e Ottimizzazione) and the Quantitative Methods for Economics, Finance and Management research group within DESF, maintaining international partnerships through research stays at the University of Montreal, University of Valencia, and teaching engagements in Portugal.

• Operational Research
• Optimization Methods
• Logistics and Supply Chain Management
• +7 more

Manuel Iori is a Full Professor at the Department of Engineering Sciences and Methods, University of Modena and Reggio Emilia (UNIMORE), Italy. His primary research focuses on operational research, optimization methods, and logistics systems. He specializes in vehicle routing problems, scheduling algorithms, and decision support systems with applications in industrial automation, healthcare, and service industries. Iori is actively involved in teaching advanced optimization courses for engineering students, emphasizing practical applications in data-driven decision-making and simulation. Research Interests: His work addresses complex optimization challenges such as multi-trip vehicle routing with time windows, scheduling under resource constraints, and tool switching in manufacturing systems. He integrates machine learning and metaheuristics to develop innovative solutions for logistics, production planning, and healthcare operations. Collaborations with industry partners (e.g., pharmaceutical distributors, printing companies) ensure practical relevance of his research. Teaching: Iori teaches courses like Optimization Methods for Data-Driven Engineering Processes , Models for Logistics and Production Optimization , and Methods and Algorithms for Optimization in Digital Industries . These courses combine theoretical foundations with hands-on labs using tools like Python, Xpress, and Anylogic. Key Contributions: He developed decision support systems for multi-trip routing in pharmaceutical distribution and supplier selection in facility management. His research on satellite scheduling and attended home delivery systems advances both theoretical and applied domains. As a member of CIRRELT (Canada), he collaborates on logistics optimization projects. Professional Activities: Iori’s work is reflected in over 80 peer-reviewed publications and contributions to conferences. He advises graduate students on optimization challenges and serves as a reviewer for top journals in operations research.

• Operations Research
• Combinatorial Optimization
• Arc Routing Problems
• +5 more

Professor Demetrio Salvatore Lagana' is an Assistant Professor of Operations Research at the Department of Mechanical, Energy and Management Engineering (DIMEG) of the University of Calabria, Italy. He has served as scientific committee member for multiple Ph.D. programs and as editorial board member for Advances in Operations Research . Education : Master's in Engineering (1992, University "Mediterranea" of Reggio Calabria), Graduate School in Transport Terminal Infrastructures (1996, University "Federico II" of Naples), Ph.D. in Operations Research (2006, University of Calabria) Dr. Lagana' specializes in combinatorial optimization with applications to logistics and supply chain management . His research focuses on three core areas: Arc Routing Problems : Optimizing vehicle fleets in logistics networks with capacity and time constraints General Routing Problems : Integrated routing of vehicles, arcs, and vertices with complex feasibility rules Inventory Routing Problems : Vendor Managed Inventory systems balancing stock levels and transportation costs His publication trends show expertise in stochastic demand modeling (2015-2021), exact algorithm development (2013, 2016), and heuristic approaches (2012, 2017). Recent work (2023-2025) explores autonomous delivery systems and real-time logistics optimization . Scientific Awards : Member of Ph.D. Scientific Committees (Operations Research 2006-2011, Life Sciences 2013, Mathematics & Computer Science 2017-present) Editorial Board: Advances in Operations Research (Hindawi) Jury Member: Ph.D. defenses at University of Bergamo and Universitat Politècnica de Catalunya Research Grants : PRIN 2007: "Ottimizzazione della logistica distributiva" PRIN 2015: "Transportation and Logistics Optimization in Big Data era" International Collaborations : Georgia Tech, HEC Montreal, University of Valencia Research partnerships with Professors Gilbert Laporte, Stefan Irnich, and Wout Dullaert

• Operations Research
• Combinatorial Optimization
• Vehicle Routing Problems
• +6 more

Demetrio Salvatore LAGANA' is an Assistant Professor in Operations Research at the Department of Mechanical, Energy and Management Engineering (DIMEG), University of Calabria , Italy. He has been teaching courses in Operations Research, Optimization, and Transport Systems since 2003 and has held visiting researcher positions at Georgia Tech, HEC Montréal, and University of Valencia. He supervises multiple PhD and Master’s students, collaborates internationally, and serves on scientific committees and editorial boards. Education : Master’s in Engineering (1992, Università Mediterranea di Reggio Calabria); Graduate School in Transport Terminal Infrastructures (1996, Università Federico II di Napoli); PhD in Operations Research (2006, University of Calabria). Research interests focus on combinatorial optimization and logistics , particularly arc routing problems , general routing problems , and inventory routing problems under deterministic and stochastic conditions. He develops algorithms for vehicle routing, supply chain optimization, and sustainable logistics, addressing constraints like capacity, time windows, and stock-out penalties. Recent publications highlight trends in multi-vehicle inventory routing , dynamic programming , stochastic optimization , and green logistics , including applications in bike-sharing systems, autonomous delivery robots, and integrated supply chain models. His work integrates exact methods, heuristics, and hybrid approaches. Academic responsibilities include membership in PhD committees (Mathematics and Computer Science, University of Calabria) and editorial boards (Advances in Operations Research, Hindawi). He has co-authored over 20 peer-reviewed articles and led research projects funded by national grants.

Paolo DettiView profile

Professor

• Operations Research
• Combinatorial Optimization
• Scheduling
• +7 more

Paolo Detti is a Full Professor of Operations Research at the Department of Information Engineering and Mathematical Sciences at the University of Siena. He currently teaches Operations Research and Production and Supply Chain Management - Logistics courses for both Bachelor's and Master's degree programs in Engineering Management. Professor Detti chairs the Management Engineering Degree Committee and maintains an active research program focused on complex optimization problems across multiple domains. Professor Detti's research spans several key areas of operations research with a strong emphasis on combinatorial optimization and scheduling. His work addresses real-world challenges in resource allocation for mobile telecommunications systems, electrical load scheduling for energy consumption minimization, healthcare planning and transportation problems, and sustainable crop planning in agriculture. His approach combines theoretical mathematical modeling with practical applications, often developing novel optimization algorithms and metaheuristics to solve complex problems. Analysis of Professor Detti's recent publications reveals a clear research trajectory focused on applying operations research methodologies to sustainability challenges. His work in agricultural optimization has grown significantly, with multiple 2025 publications on sustainable crop planning and rotation. The healthcare logistics domain remains consistently strong in his portfolio, particularly in biological sample transportation. Parallel machine scheduling with unreliable elements forms another persistent research thread, with multiple publications across different years addressing variations of this fundamental problem. Professor Detti maintains active teaching responsibilities across multiple academic levels. He currently teaches Operations Research to second-year Bachelor's students in Management Engineering and Production and Supply Chain Management - Logistics to first-year Master's students in Engineering Management for the 2025/2026 academic year. As chair of the Management Engineering Degree Committee, he plays a significant administrative role in academic governance. His educational background includes a PhD in Operations Research from Sapienza University of Rome, establishing his strong theoretical foundation in the field.

Maurizio BocciaView profile

Associate Professor

• Operations Research
• Optimization
• Logistics
• +5 more

Maurizio Boccia is an Associate Professor at the University of Naples Federico II, affiliated with the Department of Electrical Engineering and Information Technologies. His research focuses on optimization methodologies and their applications in logistics, transportation systems, and healthcare management. He holds a Ph.D. in Operations Research and has contributed extensively to the development of exact and heuristic algorithms for complex scheduling and routing problems. Key research interests include combinatorial optimization, vehicle routing problems (e.g., TSP variants with drones), automated guided vehicle (AGV) scheduling, and optimization in healthcare settings. He has also explored educational strategies, such as the OPS4Math project, which integrates optimization techniques into mathematics education. His work frequently involves mixed-integer linear programming (MILP), branch-and-cut algorithms, and matheuristics. Notable applications include railway dispatching for the Union Pacific Railroad, operating room planning in hospitals, and logistics network design. He has collaborated on real-world projects, such as improving exam scheduling in Norway and optimizing postal collection routes in rural areas. Boccia’s publications span over two decades, with contributions to both theoretical advancements (e.g., lifted cover inequalities, Fenchel cuts) and practical implementations (e.g., web cache location models, traffic sensor placement). His research often bridges theoretical optimization frameworks with real-world operational challenges.

Claudio SterleView profile

Associate Professor

• Operations Research
• Logistics Optimization
• Operations Management
• +6 more

Claudio Sterle is an Associate Professor in Operations Research at the University of Naples Federico II, affiliated with the Department of Electrical Engineering and Information Technology (DIETI-UNINA). He also maintains an affiliation with the IASI-CNR Institute for Systems Analysis and Computer Science. His work focuses on optimization methodologies applied to logistics, transportation systems, healthcare management, and manufacturing processes. Research interests include: Combinatorial optimization and integer programming Logistics network design involving drones and multi-agent systems Healthcare operational efficiency (e.g., operating room scheduling) Transportation systems optimization (modal shift incentives, freight distribution) Algorithm development for cutting problems and facility location Recent work emphasizes practical applications like optimizing emergency room operations in Naples hospitals and developing drone-truck collaboration logistics models. His contributions to mathematical programming formulations for complex routing and coverage problems have been widely applied in both academic and industrial contexts. He leads the Optimization and Problem Solving Laboratory, focusing on bridging theoretical optimization research with real-world problem-solving. Teaching efforts include developing problem-based learning strategies for mathematics education through the OPS4Math project.

Adriano MasoneView profile

Lecturer

• Operations Research
• Logistics Optimization
• Supply Chain Management
• +4 more

Adriano Masone is a Lecturer in Operations Research at the University of Naples Federico II's Department of Electrical Engineering and Information Technology (DIETI-UNINA). His research focuses on optimization problems in logistics, healthcare operations, and smart infrastructure systems. He has developed innovative formulations and algorithms for drone routing, vehicle scheduling, and resource allocation in healthcare settings. His work integrates mathematical modeling (e.g., integer linear programming) with real-world applications like blood supply chain reorganization and operating room management. Notable research contributions include: Drone-team logistics for last-mile delivery Emergency room scheduling optimization Smart grid infrastructure optimization using ILP Feature-based approaches for customer classification in routing problems His articles frequently address combinatorial optimization challenges, with a strong emphasis on heuristic and exact algorithm development. Masone also engages in educational initiatives like the OPS4Math project, promoting problem-solving methodologies in mathematics education. He maintains a dedicated research laboratory focused on optimization and problem-solving applications, publishing extensively on topics spanning transportation, healthcare, and industrial engineering.