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Francesco CaravennaView profile

Professor

• Probability Theory
• Mathematical Statistics
• Stochastic Processes
• +2 more

Francesco Caravenna is a Full Professor at the Department of Mathematics and Applications of the University of Milan-Bicocca. His research focuses on Probability Theory and Mathematical Statistics, particularly in stochastic processes, disordered systems, and scaling limits. Editorial Roles: Associate Editor for The Annals of Applied Probability (2019) and Annales de l'Institut Henri Poincaré-Probabilités et Statistiques (2018). His recent work includes studies on the critical 2D stochastic heat flow, directed polymers, and the interplay between disorder and criticality. Publications emphasize rigorous mathematical analysis of stochastic partial differential equations, Gaussian multiplicative chaos, and universal scaling properties. He has received grants from MIUR and the Italian-French University (UniTO) for projects like Random Walks and Polymers (2019) and Large Scale Random Structures (2016). Scientific Awards: Fubini Award (2011), Mario Boella High School, with the Polymath Project and Subalpine Mathesis Association. His contributions span stochastic analysis, disordered systems, and interdisciplinary applications in statistical mechanics and financial modeling. Key themes include pathwise analysis, multiscale behavior, and critical phenomena in random systems.

Patrick DallasegaView profile

Associate Professor

• Supply Chain Management
• Industry 4.0
• Lean Construction
• +7 more

Patrick Dallasega is an Associate Professor in the Department of Industrial Plants at the Faculty of Science and Technology of the Free University of Bolzano (Italy). He holds a PhD from the University of Stuttgart and has been a Visiting Scholar at Chiang Mai University (Thailand) and Worcester Polytechnic Institute (USA). His expertise spans supply chain management, Industry 4.0 integration in SMEs, lean construction methodologies, and sustainable production planning in ETO/MTO environments. He teaches Project Management and Industrial Plants courses in Industrial Mechanical Engineering programs. His research focuses on digital transformation in manufacturing, including smart mobile factories, augmented reality applications for training, and synchronization of production and on-site assembly processes. Collaborative projects like the AR-enhanced industrial training initiative with Memc aim to reduce errors and costs in complex industrial setups. His work emphasizes human-centered technology integration, sustainability, and real-time data utilization for adaptive production strategies. Education Bachelor/Master: Free University of Bolzano (Italy) MSc: Polytechnic University of Turin (Italy) PhD: University of Stuttgart (Germany) Research Interests Professor Dallasega’s research explores the intersection of Industry 4.0 technologies with lean manufacturing principles, particularly in complex Engineer-to-Order (ETO) and Make-to-Order (MTO) sectors. He investigates how digital twin frameworks, augmented reality (AR), and real-time data analytics can enhance supply chain resilience, reduce operational losses, and improve workforce training efficiency. His work also addresses sustainability challenges in mobile and distributed manufacturing systems, emphasizing eco-friendly logistics and smart factory design. Key Projects Recent collaborations include: Development of an AR-based training module to boost procedural knowledge retention in machinery setups Comparative studies on Industry 4.0 adoption in SMEs across Europe and Asia Framework for digital twin-driven quality control in precast manufacturing Grants & Advising No specific grants or student advisees are listed in the provided data. His focus remains on collaborative industry projects and institutional teaching responsibilities. Labs & Teams Involved in cross-disciplinary teams at the Free University of Bolzano, particularly in the NOI Techpark innovation hub. Leads initiatives on smart mobile factories and human-centered robotics applications in manufacturing environments.

• Logistics
• Supply Chain Management
• System Dynamics
• +5 more

Giovanni Zenezini is a Fixed-term tenure-track Assistant Professor at Politecnico di Torino's Department of Management and Production Engineering (DIGEP), affiliated with both the College of Management and Production Engineering and the College of Mechanical, Aerospace and Automotive Engineering. His academic activities include teaching courses such as 'Modeling Complex Systems in Engineering and Management' and 'Supply Chain Management' across multiple degree programs. His research focuses on logistics optimization and systems engineering, with primary expertise in: Agent-based modeling and system dynamics for complex systems Urban logistics and sustainable city freight solutions Warehouse automation and Industry 4.0 implementations Supply chain digitalization and Physical Internet concepts Sustainability assessments in logistics networks Analysis of recent publications (2019-2025) reveals consistent focus on logistics innovation, with 73% addressing optimization methodologies, 60% featuring simulation modeling approaches, and 47% examining urban freight solutions. The works demonstrate growing integration of digital technologies like IoT and digital twins in logistics systems. Dr. Zenezini currently supervises three PhD candidates: Francesca Saba (Management and Production Engineering) Massimo Rebuglio (Management, Production and Design) Anna Treves (Urban and Regional Development) His research group actively investigates logistics digitalization, warehouse automation, and urban freight impact assessment through projects with industry partners.

Annarita De MaioView profile

Researcher

• Logistics 4.0
• Sustainable Logistics
• Last-Mile Delivery
• +3 more

Annarita De Maio serves as a Researcher in Operations Research (MAT/09) at the Department of Economics, Statistics and Finance (DESF) of the University of Calabria, where she teaches Logistics, Operations Research, and Mathematical Methods for Economics courses across undergraduate and graduate programs including Economics, Data Science, and Management Engineering. PhD in Mathematics and Computer Science (2018), University of Calabria Dissertation: Integrated Logistics and Last-Mile Deliveries (developed with Procter & Gamble) Research periods at P&G Brussels and CIRRELT/Laval University (Quebec) Her research centers on Logistics 4.0 innovations with dual emphasis on sustainable last-mile delivery systems (crowdshipping, autonomous robots, locker networks) and smart tourism applications . Current projects integrate IoT and AI for optimizing pharmaceutical distribution, perishable goods logistics, and urban tourist trip planning while addressing environmental constraints and stochastic demand patterns. Recent publications (2022-2025) reveal three thematic clusters: (1) stochastic optimization for dynamic delivery systems, (2) sustainable urban logistics solutions using multi-modal transport, and (3) data-driven tourism management frameworks. Her work consistently bridges theoretical modeling with industrial case studies involving Italian companies and municipal authorities. As an active member of DESF's Quantitative Methods for Economics, Finance and Management research group, she contributes to regionally and nationally funded projects focusing on mathematical programming applications. Her international conference participation includes speaking and organizing roles at major logistics and operations research events. Dr. De Maio collaborates within the department's research ecosystem through the Quantitative Methods group, which develops computational models for decision-making in finance, actuarial science, and transportation. Current initiatives explore crowdshipping economics, green tourist trip design, and risk-aware inventory systems for perishable commodities.

• Software Engineering
• Formal Methods
• Software Architectures
• +7 more

Patrizia Scandurra is an Associate Professor at the Department of Management, Information and Production Engineering, University of Bergamo, Italy. Her academic appointment in Computer Science (01/B1) spans from 2022 to 2033. She previously held roles as a researcher at the University of Bergamo (2009-2017) and postdoctoral fellow at the University of Milan (2006-2008). She earned her PhD in Computer Science (2006) and Bachelor's degree (2002) from the University of Catania. Research Focus : Software architectures and formal methods for modeling, validation, and verification of software-intensive systems. Specializations : Runtime analysis of self-adaptive, autonomous, and uncertain systems including IoT-Edge-Cloud applications, embedded systems, and system-on-chip. Collaborations : STMicroelectronics, Atego, Bialetti, and ENEA. Conference Involvement : Program/organizing committees for ICSE, ASE, ISSRE, ICSA, ECSA, SEAMS@ICSE, ABZ, SA-TTA@SAC, FAACS@ECSA. Research Projects : Model-driven development for robotics, adaptive architectures for pervasive systems, big data in smart cities, and digital twins for medical systems. Notable Contributions : Development of the ASMETA formal method community tools and frameworks for rigorous system design. She has published over 100 peer-reviewed works in international journals and conferences.

• Asymptotic statistics
• Bayesian inference
• Biostatistics
• +9 more

Enrico Bibbona is an Associate Professor at the Department of Mathematical Sciences (DISMA) at Politecnico di Torino, where he contributes to the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory. His academic profile spans statistics, mathematical modeling, and data science applications across multiple engineering disciplines. His primary research interests include: Asymptotic statistics Bayesian inference Biostatistics Industrial statistics Mathematical biology and modeling in life sciences Statistical inference for stochastic processes Stochastic modeling His specific research lines focus on Reaction Networks approximation and inference, Statistical modeling of animal calls, Statistics and modeling for the SmartPad system (in collaboration with ITT), and Statistics for deterministic and stochastic dynamical models. His work bridges theoretical statistics with practical applications across various scientific domains, particularly in biological systems, industrial applications, and data science. His notable recognition includes the Elsevier/SPA Travel Award presented by Elsevier and Bernoulli Society, Denmark (2011). Professor Bibbona actively mentors PhD students across multiple programs, currently supervising Daniele Poggio and Saeed Sani in Mathematical Sciences, and has previously guided Elena Sabbioni (thesis: Statistical Methods for Complex Biological and Clinical Data) and Hiu Ching Yip (thesis: Statistical models for understanding biomedical data). His teaching spans Mathematical Engineering, Data Science and Engineering, and Communications Engineering programs, where he teaches courses including BioQuants, Statistical methods in data science, and Project: Software-defined communication systems. He is a key member of the Statistics and Data Science research group at DISMA and has contributed to practical applications through patents including "BRAKING SYSTEM TEMPERATURE ESTIMATOR" and "A method for estimating the wear of a vehicle brake element," demonstrating his ability to translate theoretical work into real-world solutions.

Andrea D'AmbrogioView profile

Associate Professor

• Software and Systems Engineering
• Systems and Software Performance Engineering
• Model-Driven Systems Engineering
• +3 more

Prof. Andrea D'Ambrogio is an Associate Professor of Software and Systems Engineering at the Department of Enterprise Engineering, University of Roma 'Tor Vergata' (Italy). He previously held roles such as Assistant Professor of Computer Science and Research Associate at the same university, and contributed to projects in Europe and internationally. His research focuses on software/systems performance, model-driven engineering, business process management, and distributed simulation. He has led over 20 international conferences and initiated workshops like CoMetS and Mod4Sim. He currently serves as President of the Society for Modeling & Simulation International (SCS), and is a member of IEEE, ACM, and INCOSE. Research Contributions: Prof. D'Ambrogio has authored over 150 publications in journals and conferences. His work emphasizes simulation engineering processes, MSaaS (Modeling & Simulation as a Service), and the integration of IoT with business processes. Recent studies address distributed simulation interoperability, pandemic impact analysis on healthcare systems, and low-code simulation frameworks. Leadership & Editorial Roles: He has served as General Chair for major events like SpringSim'19 and SummerSim'18. He is an Associate Editor of the SIMULATION journal and editorial board member of IAENG International Journal of Computer Science. His leadership in SCS advances global standards in modeling and simulation practices. Teaching: Teaches courses such as Service-Oriented Software Engineering, Software Systems, and Internet-Based Distributed Simulation. His academic contributions span both theoretical advancements and practical applications in enterprise systems engineering.

• Industrial Engineering
• Supply Chain Management
• Logistics Optimization
• +3 more

Prof. Roberto Montanari, a Full Professor at the University of Parma's Department of Systems Engineering and Industrial Technologies , has dedicated his career to advancing industrial engineering with a focus on supply chain logistics , food industry processes , and RFID technology . His work bridges simulation modeling and optimization for complex systems. PhD in Mechanical Engineering (University of Parma, 1999) Educational leadership in Industrial Plants , Food Industry Machinery , and Logistics Systems Research interests include logistics optimization , RFID-enabled supply chains , and food processing innovation . He pioneered ant colony algorithms for warehouse routing and CFD simulations for mixer design. His work spans WEEE management , food waste valorization , and smart city logistics . His 15+ recent publications demonstrate expertise in warehouse automation, perishable inventory control, and sustainable systems. Awards include BEST PAPER AWARD (MAS 2012) and XXI Summer School 'Francesco Turco' recognition. Director of interdepartmental center CIPACK (2014–present) Co-founder of academic spin-off FMB Engineering Innovation Erasmus+ Rector's Delegate (2018–present)

• 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.

Maria BARBATIView profile

Associate Professor

• Decision Support Systems
• Multicriteria Optimization
• Operations Research
• +3 more

Maria BARBATI is an Associate Professor at the Department of Economics of Ca' Foscari University of Venice. She is affiliated with the Research Institute for Digital and Cultural Heritage and the Research Institute for Social Innovation. Her work focuses on decision support systems, multicriteria optimization, and environmental/economic planning. Education: PhD in Science and Technology Management (2013) from University of Naples Federico II. Holds a Master Degree in Management Engineering (cum laude), and certifications in Automotive Engineering and Industrial Engineering. Research Interests: Development of mathematical methods for decision-making under multiple criteria, optimization techniques in logistics and territorial planning, and applications of operations research in environmental and socioeconomic contexts. Current projects include neural network forecasting, healthcare resource optimization, and sustainable ecovillage design. Teaching: Teaches Mathematics for Economics/Finance, Decision Sciences, and Quantitative Methods across undergraduate and graduate programs like Global Development & Entrepreneurship, Digital Management, and Economics & Commerce. Recent courses include 'Mathematical Models for Decision Making' (Master's level). Awards & Grants: Recipient of prestigious awards for her journal publications (2016, 2018) and multiple Brunel Schemes grants (2017-2019). Supervised a PhD project on multicriteria analysis in the automotive sector. Professional Background: Previously held senior lecturer positions at the University of Portsmouth (UK) from 2013-2021, teaching Business Analytics and Quantitative Methods. Conducted research visits at University of Catania, Naples Federico II, and University of Murcia.

• Digital Twin
• Modelling and Simulation
• Automated Storage and Retrieval Systems (AS/RSs)
• +3 more

Andrea Ferrari is a Researcher at the Department of Management and Production Engineering (DIGEP) within Politecnico di Torino, College of Engineering. Actively engaged in teaching activities, Ferrari collaborates on courses including Supply Chain Management at the Master's level and Industrial Plants at both Bachelor's and Master's levels. The research focuses span digital transformation in logistics, automated storage systems, and simulation methodologies. Key research contributions include: Advancements in Digital Twin applications for automated storage systems Modelling and simulation approaches for intralogistics optimization Empirical analysis of transportation infrastructure concession periods The publications demonstrate a strong focus on integrating digital technologies with physical production systems, particularly in warehouse automation and manufacturing logistics. While no specific awards are listed, the involvement in international conferences (IFAC, CENTERIS) and collaborative projects like Challenge@PoliTo indicates active academic engagement.

Antonella De AngeliView profile

Professor

• Human-Computer Interaction
• Participatory Design
• Social Innovation
• +3 more

Antonella De Angeli is a full professor of Human-Computer Interaction at the Free University of Bozen-Bolzano's Faculty of Engineering. She holds a PhD in Experimental Psychology from the University of Trieste, followed by post-doctoral research and industrial experience at NCR Ltd. Her academic career includes roles at the University of Manchester, University of Trento (as Associate Professor), and the University of Lincoln (as Professor). She leads research in Human-Computer Interaction with a focus on participatory design, social innovation, and technology's role in civic engagement. Her research emphasizes human-centric design principles rooted in Renaissance educational ideals, advocating for technology as a tool for democratic activism. Notable projects include the H2020-funded PieNews and Acanto initiatives, as well as collaborations with cultural institutions like Teatro Stabile Bolzano. She teaches courses in HCI, user research, and scientific communication at undergraduate and graduate levels. Dr. De Angeli's work spans interdisciplinary areas including AI ethics, aging technologies, and creative collaborations with generative AI. She actively bridges academic research with societal impact through projects addressing stereotypes, digital literacy, and participatory urban design. Her recent publications explore robot abuse, emotion-aware interfaces, and algorithmic critique through a steampunk lens.

Anna BattauzView profile

Associate Professor

• Quantitative Finance
• Asset Pricing
• Derivatives Pricing
• +3 more

Anna Battauz is an Associate Professor at Bocconi University, specializing in Quantitative Finance. She holds a Ph.D. in Financial Mathematics from Scuola Normale Superiore in Pisa and a Mathematics degree from the University of Udine. Since joining Bocconi post-doctorate, she has taught undergraduate, graduate, and Ph.D. courses in Calculus, Quantitative Finance, Derivatives Pricing, and Continuous-Time Finance. She has served as Director of the MSc in Finance since 2022/23. Her research focuses on asset/derivatives pricing, asset allocation, and optimal stopping, with publications in journals like Economic Theory , Management Science , and Quantitative Finance . She is a research fellow at IGIER (Innocenzo Gasparini Institute for Economic Research) and Baffi Carefin (Center for Applied Research on Finance). She acts as a referee for multiple academic journals. Her teaching portfolio includes courses such as Quantitative Finance and Derivatives, Applied Numerical Finance, and Continuous Time Finance. Her work integrates theoretical contributions with practical applications in financial markets and risk management.

• Network Optimization
• Combinatorial Optimization
• Logistics
• +3 more

Francesca Guerriero is Full Professor of Operations Research at the Department of Mechanical, Energy and Management Engineering , University of Calabria, Italy. She serves as Dean since 2021, Vice President of AIRO (Italian Operations Research Society), and Director of the LOGICA Laboratory. PhD in Systems Engineering and Informatics, University of Calabria (1997) Graduate in Management Engineering (1993), summa cum laude Her research spans Network Optimization , Combinatorial Optimization , Logistics , Revenue Management , and Big Data Optimization , with focus on large-scale problems in transportation, energy, and healthcare. Recent publications highlight integration of quantum computing and deep reinforcement learning in logistics. She supervises PhD projects on topics like Green Logistics , Distributed Optimization , and Smart City Applications , collaborating with institutions like MIT and Amazon. Her work includes EU/Italian Ministry-funded projects on Smart Cities , Healthcare Systems , and Biomedical Applications .

• Manufacturing Technologies
• Simulation Techniques
• Additive Manufacturing
• +5 more

Gianluca Danilo D'Urso is a Full Professor of Manufacturing Technologies and Systems (ING-IND/16) at the University of Bergamo, Department of Engineering and Applied Sciences. He serves as the Rector's Delegate for Applied Research and holds leadership positions including President of the Scientific Technical Committee of the Intellimech Consortium and Member of the teaching staff for the Doctoral School in Technology, Innovation and Management (TIM). His research spans multiple critical areas of advanced manufacturing, with particular focus on conventional and unconventional manufacturing technologies, FEM simulation techniques applied to production processes, Additive Manufacturing, Micro-manufacturing, and discrete-event simulation techniques applied to both production and healthcare processes. Professor D'Urso also specializes in improving production system quality and developing optimization models for production processes using simulation, analytical, and mathematical approaches. Professor D'Urso's recent publications reveal a strong emphasis on cutting-edge manufacturing technologies with particular attention to additive manufacturing processes, material extrusion techniques, and laser powder bed fusion. His work demonstrates a consistent focus on quality optimization, process improvement, and sustainability in manufacturing systems. The research shows increasing integration of computational methods with experimental validation across multiple manufacturing domains. As Rector's Delegate for Applied Research, Professor D'Urso plays a significant role in shaping the research direction of the university, particularly in bridging academic research with industrial applications through his leadership in the Intellimech Consortium. His involvement with the Doctoral School in Technology, Innovation and Management indicates his commitment to developing the next generation of researchers in these critical fields. Professor D'Urso teaches Advanced Manufacturing Technologies and related courses across multiple engineering programs at the University of Bergamo, demonstrating his dedication to both research and education in advanced manufacturing systems. His work spans theoretical modeling, computational simulation, and practical application of manufacturing technologies across various industrial sectors.