جست‌وجوی استاد و پژوهشگر

Andrea Schaerfمشاهده پروفایل

استاد

• Optimization
• Artificial Intelligence
• Scheduling
• +۳ مورد دیگر

Andrea Schaerf is Full Professor of Information Technology at the University of Udine's Polytechnic Department of Engineering and Architecture. He obtained his PhD in Computer Science from Sapienza University of Rome in 1994 and previously served as Head of the Bachelor and Master Programs in Management Engineering (2015-2021). His primary research explores combinatorial optimization problems including: Scheduling and timetabling systems Local search metaheuristics AI applications in operations research Problem specification languages Publication analysis reveals consistent focus on metaheuristic approaches (particularly simulated annealing) applied to healthcare logistics, educational timetabling, and facility location problems. Recent work shows increased attention to multi-neighborhood search techniques and real-world healthcare applications. No scientific awards or student advisees are documented in available materials.

Sara Ceschiaمشاهده پروفایل

دانشیار

• Operations Research
• Combinatorial Optimization
• Logistics
• +۱ مورد دیگر

Sara Ceschia is Associate Professor of Operations Research at the Università degli Studi di Udine. Her research develops local search algorithms for combinatorial optimization problems in logistics, healthcare, and timetabling. Current projects include: Happy Chicken Project (poultry welfare assessment) HealthyKeel Project (keel bone damage in poultry)

• Systems Engineering
• Control Engineering
• Discrete Event Systems
• +۷ مورد دیگر

Mariagrazia Dotoli is a Full Professor in Systems and Control Engineering at the Polytechnic University of Bari, Department of Electrical and Information Engineering, where she has been serving since 1999. She previously held the position of Vice Rector for Research (2011-2013) and served as a member elect of the Academic Senate (2012-2015). Currently, she coordinates the interuniversity PhD course in Industry 4.0 between the Polytechnic University of Bari and the University of Bari Aldo Moro. Her research interests span across multiple domains of systems engineering, with particular focus on discrete event industrial systems, Petri nets, manufacturing systems, supply chains, logistics and transportation systems, traffic networks, and energy systems. Her work bridges theoretical control systems with practical industrial applications, especially in the context of Industry 4.0 and smart manufacturing. Her extensive publication record demonstrates consistent contributions to automation science and engineering, with recent work focusing on warehouse optimization, collaborative robotics, supply chain management, and smart energy systems. Her research shows a clear trend toward integrating classical control theory with modern computational approaches, including machine learning and optimization algorithms for industrial applications. Prof. Dotoli maintains significant editorial responsibilities as Senior Editor of the IEEE Transactions on Automation Science and Engineering and Associate Editor for multiple IEEE journals. She has organized and chaired numerous international conferences including CASE2024, MED2021, and CODIT2020, demonstrating leadership in the automation community. Her academic career shows continuous progression from Assistant Professor (1999) to Full Professor, with additional leadership roles in university administration and international professional organizations. She remains actively engaged in both theoretical research and practical industrial applications of control systems engineering.

Marco Fregoمشاهده پروفایل

دانشیار

• Robotics
• Control Systems
• Optimization Algorithms
• +۲ مورد دیگر

Marco Frego is a Tenured Associate Professor in the Faculty of Engineering at the Free University of Bozen-Bolzano. His research spans robotics, control systems, optimization algorithms, and manufacturing engineering, with applied work in industrial automation and computational geometry. Recent publications demonstrate a strong focus on robotic path planning, manufacturing efficiency, and machine learning integration in control systems. These include innovations in climbing robots for mountain rescue, Q-learning for predictive control, and heuristic solutions for wood yield optimization. Thematically, his work bridges theoretical mathematics with industrial applications, emphasizing practical implementations in robotics and production engineering.

• Transportation Engineering
• Operations Research
• Logistics
• +۴ مورد دیگر

Ludovica Adacher is an Associate Professor at the Department of Civil, Computer and Aeronautical Engineering, Roma Tre University, Rome, Italy, specializing in optimization methodologies for transportation and logistics systems. Her work bridges theoretical operations research with practical engineering applications across multiple critical infrastructure domains. Her research focuses on Transportation Engineering and Operations Research, with deep expertise in Air Traffic Management, Urban Traffic Control, and Logistics optimization. She develops advanced models for vaccination clinic design, airport operations, and sustainable freight distribution, emphasizing cost-QoS tradeoffs, environmental impact reduction, and robustness under uncertainty. Her methodological toolkit includes Lagrangian relaxation, heuristic algorithms, and simulation techniques applied to real-world congestion and resource allocation problems. Analysis of her 15 most recent publications reveals a consistent pattern of addressing high-impact transportation challenges through mathematical optimization. Her work spans air traffic congestion resolution, electric vehicle infrastructure planning, urban freight sustainability, and healthcare logistics, with increasing emphasis on multi-objective frameworks that balance operational costs, environmental metrics, and social factors. The research demonstrates strong interdisciplinary connections between civil engineering, computer science, and aeronautical systems.

Andrea Gasparriمشاهده پروفایل

استاد

• Robotics
• Sensor Networks
• Networked Multi-Agent Systems
• +۴ مورد دیگر

Andrea Gasparri is a Full Professor at the Department of Civil, Computer Science, and Aeronautical Technologies Engineering, Roma Tre University, Rome, Italy. His research spans robotics, sensor networks, networked multi-agent systems, and precision agriculture. Coordinated Robotics and Networked Multiagent Systems Laboratory. Active in H2020 projects like CANOPIES and PANTHEON, focusing on precision farming. Recipient of the Young Author Award (Agricontrol Conference 2019) and ICRA2017 Best Paper Finalist. Research Interests: Robotics and autonomous systems Distributed control and estimation Multi-agent coordination in precision agriculture Swarm intelligence Networked cyber-physical systems Federated learning for agricultural robots Recent Publications show expertise in finite-time consensus, distributed optimization, and precision agriculture applications, with a focus on robustness and scalability in multi-robot systems. Scientific Awards: Young Author Award, Agricontrol Conference 2019 Best Multi-Robot Systems Paper Finalist, ICRA2017 He has contributed to projects involving UAV path planning, robotic spraying systems, and demand-side management in agricultural cyber-physical systems.

Francesco Carrabsمشاهده پروفایل

استاد

• Operations Research
• Combinatorial Optimization
• Graph Theory
• +۵ مورد دیگر

Francesco Carrabs is a Full Professor of Operations Research in the Department of Mathematics at the University of Salerno, Italy, a position he has held since 2024. Previously, he served as Associate Professor (2020-2024) and Assistant Professor (2008-2020) at the same institution, demonstrating a steady progression through the academic ranks. Dr. Carrabs earned his PhD in Computer Science from the University of Salerno in 2006 and graduated cum laude in Computer Science from the same university in 2002. His international research experience includes a visiting scholar position at the Centre de recherche sur les transports (CRT) at the University of Montréal, Canada (2004-2006) under Professors Gilbert Laporte and Jean-François Cordeau, followed by a post-doctoral fellowship at HEC Montréal (October 2006-March 2007). His research focuses on theoretical study, development and implementation of exact and heuristic approaches for optimization problems on graphs. His primary research areas include Routing problems, Variants of Spanning Tree problems, Traveling Salesman Problems, Labeled Graph problems, and Wireless Sensor Networks problems. This program has resulted in approximately 50 publications across various formats. His recent publications reveal a strong emphasis on constrained graph problems, particularly those involving conflict constraints in spanning trees and set covering problems. His methodological contributions span exact approaches like branch-and-cut algorithms and heuristic methods including GRASP and genetic algorithms, often accompanied by publicly available datasets and source code. Dr. Carrabs has participated in numerous national and international research projects and has served on scientific committees for various conferences. His teaching activities at the University of Salerno focus on Operations Research and Optimization courses within the SSD MATH-06/A classification. With an h-index of 16 and over 800 citations (excluding approximately 13% self-citations), Dr. Carrabs has established himself as a respected researcher in combinatorial optimization and operations research.

• Operations Research
• Combinatorial Optimization
• Arc Routing Problems
• +۵ مورد دیگر

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
• +۶ مورد دیگر

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.

Mauro DELL'AMICOمشاهده پروفایل

استاد

• Operations Research
• Combinatorial Optimization
• Vehicle Routing
• +۶ مورد دیگر

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.

• Combinatorial Optimization
• Meta-heuristics
• Mixed Integer Programming
• +۷ مورد دیگر

Luigi De Giovanni is an Associate Professor of Operations Research at the Department of Mathematics, University of Padua, where he has been faculty since 2007 (promoted to Associate Professor in 2018). He holds the Italian academic qualification as Full Professor since 2020. His research focuses on Combinatorial Optimization, Meta-heuristics, Mixed Integer Programming, and their applications in Transportation and Logistics, Air traffic and Airport Optimization, Telecommunication Network Design, and Production Scheduling. His work bridges theoretical optimization methods with practical industrial applications across various sectors including transportation, manufacturing, and telecommunications. Professor De Giovanni has led and participated in several significant research projects including: European Research Project 'OptiFrame - An Optimization Framework for Trajectory Based Operations' (H2020-SESAR-2015-1, 2016-2018) PRIN Project 'Nonlinear and Combinatorial Aspects of Complex Networks' (2017-2020) European Research Project 'AAS - Integrated Airport Apron Safety Fleet Management' (2008-2011) European Research Project 'SCOOP - Sheet Cutting and Process Optimization for Furniture Enterprises' (2006-2008) His extensive publication record spans from 2002 to 2024, with numerous articles in high-impact journals such as Transportation Science, IEEE Access, and European Journal of Operational Research. Recent publications show a strong emphasis on data-driven approaches to air traffic management, vehicle routing and logistics optimization, and graph theory applications, demonstrating continued research productivity and relevance. Professor De Giovanni teaches courses in Operations Research, Methods and Models for Combinatorial Optimization, and Stochastic Optimization at the University of Padua. His office hours are on Thursdays from 10:30 am to 12:30 pm by appointment.

Laurent Poirrierمشاهده پروفایل

استاد مدعو

• Discrete Optimization
• Computational Optimization
• Mathematical Programming
• +۳ مورد دیگر

Laurent Poirrier is an Adjunct Professor in the Department of Computing Sciences at Bocconi University in Milan, Italy. Previously, he was affiliated with the Combinatorics and Optimization department at the University of Waterloo. His academic work spans both theoretical and applied aspects of optimization, with a focus on computational methods. Dr. Poirrier's research interests center on the computational aspects of discrete optimization, with particular emphasis on the implementation of fast optimization algorithms. His work encompasses linear algebra, combinatorics, and numerical analysis as they relate to optimization problems. He has made significant contributions to mathematical programming, particularly in areas such as cutting planes, integer programming, and polyhedral combinatorics. His publication record demonstrates consistent contributions to the field of optimization over the past two decades, with a focus on theoretical foundations of optimization algorithms and practical implementations. His work spans pure optimization theory, computational methods, and applications in areas like vehicle routing. The progression of his research shows increasing sophistication in handling multi-dimensional optimization problems and developing numerically stable algorithms. At Bocconi University, Dr. Poirrier teaches Software Engineering (course 20875) and has previously taught courses in computer science. His teaching reflects his research expertise, covering topics from low-level computing concepts to software engineering practices.

Alessandro Agnetisمشاهده پروفایل

استاد

• Combinatorial Optimization
• Scheduling Algorithms
• Operations Research
• +۳ مورد دیگر

Alessandro Agnetis is a Full Professor at the Department of Information Engineering and Mathematical Sciences, University of Siena, with expertise in combinatorial optimization and scheduling theory. His research spans operations research, multi-agent systems, and lean management applications, with recent publications focusing on adversarial bilevel scheduling, drone emergency logistics, and fairness-utility trade-offs in two-agent systems. Current Courses: Optimization Methods, Combinatorial Optimization, Production Planning (Master's in Engineering Management) Contact: alessandro.agnetis@unisi.it Research Trends: His work addresses complex scheduling problems across manufacturing, healthcare, and logistics, particularly emphasizing: Multi-agent coordination and Nash equilibrium models Parallel machine scheduling with unreliable jobs Emergency delivery optimization using drones Time-critical testing and cross-docking systems Lean management integration in healthcare operations

Paolo Dettiمشاهده پروفایل

استاد

• Operations Research
• Combinatorial Optimization
• Scheduling
• +۷ مورد دیگر

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 Bocciaمشاهده پروفایل

دانشیار

• Operations Research
• Optimization
• Logistics
• +۵ مورد دیگر

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.