جست‌وجوی استاد و پژوهشگر

• ERP Systems
• Business Simulation
• Information Technology Education
• +۳ مورد دیگر

Gilbert Babin is a Professor of Information Technologies at HEC Montréal, where he is affiliated with GRESI, ERPsim Lab, and Tech3Lab. He has been cited 1331 times according to Google Scholar, indicating significant scholarly impact in his field of research. His research interests span several key areas in information systems and business technology: Enterprise Resource Planning (ERP) systems Business simulation and serious games Cognitive aspects of information systems use Business intelligence and analytics Operations management education Professor Babin's work demonstrates a strong focus on the intersection of information technology and business processes, particularly through simulation-based approaches. His publication history shows an evolution from technical optimization problems (1996-2007) to applied business contexts (2010-2012), with his most recent work exploring the integration of neuroscientific approaches with enterprise systems. His research on ERP simulation games has been particularly influential, with his 2011 paper receiving 132 citations. His current research trajectory includes innovative cross-disciplinary work combining information systems with cognitive neuroscience, examining how brain-computer interfaces can enhance sustained attention in business contexts. This represents a cutting-edge direction that bridges traditional information systems research with emerging neurotechnologies.

• Solid State Nuclear Magnetic Resonance (SSNMR)
• Electron Spin Resonance (ESR)
• Sol-Gel Synthesis of Nanomaterials
• +۴ مورد دیگر

Emanuela Callone is a Researcher at the Department of Industrial Engineering, University of Trento, Italy. She has been affiliated with the "K. Mueller" Magnetic Resonance Laboratory since 2009, where she specializes in materials characterization using nuclear magnetic resonance (NMR) and electron paramagnetic resonance (EPR) techniques. Her responsibilities include experimental design, data analysis, scientific writing, and technical management of laboratory equipment. She also contributes to teaching through laboratory exercises for courses such as "Laboratory of Chemistry" and "Properties and characterization of materials." Education: Ph.D. in Evolutionary Biology, University of Pisa (2004) Degree in Physics (Biosystems), University of Trento (2001) Scientific Certificate, "G. Galilei" Scientific Liceum, Trento (1994) Her research focuses on the development and application of solid-state NMR and EPR spectroscopy for structural characterization of polymers, biopolymers, silicon-based materials, and hybrid organic-inorganic compounds, with emphasis on interfacial properties. She combines these techniques with infrared spectroscopy and other analytical methods to solve complex material science problems. Active in scientific communities, Callone is a member of GIDRM (Italian Group for Magnetic Resonance Discussions), INSTM (Interuniversity Consortium for Materials Science and Technology), and SCI Trentino AltoAdige SudTirol (Italian Chemical Society). She has participated in numerous national and international conferences, including the National Congress on Magnetic Resonance, COST HINT meetings, and workshops on hybrid materials and sol-gel technologies. Her collaborative work includes ERASMUS+ staff training at CNRS Spectropole (Aix-Marseille University) and Université Pierre et Marie Curie (LCMCP, France). These experiences have strengthened her expertise in advanced spectroscopic techniques and their industrial applications.

• Marketing
• Luxury Brand Management
• Sustainable Business
• +۳ مورد دیگر

Stefania Carraro serves as a Senior Lecturer in the Department of Marketing at SDA Bocconi School of Management, Bocconi University, actively teaching core courses for the 2025/2026 academic year including Managing Growth and Evaluation Performance, Business Planning & Creative Entrepreneurship, and Leading Sustainable Transformation in Luxury Brands. Her research specialization spans strategic marketing domains with emphasis on: Luxury brand sustainability transitions ESG-integrated governance models Creative retail communication strategies Entrepreneurial business planning frameworks Sustainable service management in premium sectors Complex problem-solving methodologies Her instructional focus directly addresses contemporary industry challenges in luxury, retail, and sustainable finance through applied workshop formats and performance evaluation systems.

• Data Science
• Machine Learning
• Quantitative Methods
• +۱ مورد دیگر

Cristian Castiglione serves as a Research Fellow in the Department of Decision Sciences at Bocconi University, actively teaching core data science courses for the 2025/2026 academic year including Foundations of Data Science, Quantitative Methods for Social Sciences (Module II - Data Analytics), and Machine Learning (Module I - Introduction). His research spans interdisciplinary applications of Data Science and Machine Learning within quantitative social sciences and decision-making frameworks, directly reflected in his instructional responsibilities. These focus areas position him at the intersection of computational methods and real-world analytical problem-solving.

• Entrepreneurship
• Innovation
• Digital Disruption
• +۱ مورد دیگر

Aura Bertoni serves as an Academic Fellow in the Department of Management and Technology at Bocconi University, actively teaching courses for the 2025/2026 academic year including Legal Clinic: Startup and Innovation and Digital Disruption and Entrepreneurship. Her role bridges academic theory with practical application in emerging business ecosystems. Her research centers on legal frameworks for technological innovation, with specific focus on startup formation, digital business model disruption, and regulatory challenges in entrepreneurship. This interdisciplinary work intersects law, management, and technology transfer, emphasizing real-world problem-solving through experiential education. In the Legal Clinic component of her teaching, she supervises student teams providing direct consultancy to early-stage ventures, covering intellectual property, compliance, and scaling strategies. This hands-on approach cultivates entrepreneurial competencies while addressing market gaps in startup support services.

• Nonlinear Functional Analysis
• Differential and Integral Equations
• Mathematical Applications to Architecture
• +۵ مورد دیگر

Giuseppe Conti is an Associate Professor of Mathematical Institutions at the Faculty of Architecture, University of Florence, where he has been teaching since 1980. Born in Florence on February 27, 1947, he graduated in Mathematics from the University of Florence in 1972 with highest honors (110 cum laude). His career has spanned multiple institutions including the University of Calabria where he taught from 1973-1980 before returning to Florence. Professor Conti's research interests bridge pure and applied mathematics, with primary focus on Nonlinear Functional Analysis, Differential and Integral Equations, and the mathematical applications to architecture, particularly the analysis of Brunelleschi's Dome of Santa Maria del Fiore. His work also extends to mathematical applications in music, photogrammetry, and economics. He has developed specialized techniques for photogrammetric analysis of architectural structures and co-authored a significant text on analytical photogrammetry of non-metric architectural images. His publication record shows consistent output through 2025, with recent work focusing on geometric structures in architecture, Fibonacci numbers in art and music, and continued theoretical work in integral equations. His publications demonstrate a unique interdisciplinary approach that connects mathematical theory with practical architectural applications. Pirelliaward 2002 for scientific dissemination via the internet (first mathematician to win this award) Professor Conti has supervised numerous theses on both pure mathematics topics and mathematical applications to architecture. His teaching spans multiple departments at the University of Florence, including Architecture and Engineering, where he teaches mathematical analysis and specialized courses connecting mathematics to architecture and music. He has also been active in professional development, conducting numerous courses organized by the Veneto and Friuli regions with European Social Fund sponsorship. His research group focuses on mathematical applications to architectural analysis, particularly the geometric modeling of historical structures. This work has led to significant insights into Brunelleschi's construction techniques and has been featured in national television programs, architectural journals, and major Italian newspapers.

• Theoretical Physics
• Matter Physics
• Mathematical Methods
• +۲ مورد دیگر

Associate Professor Marini Andrea is a faculty member in the Department of Physical and Chemical Sciences at the University of L'Aquila. His academic specialization is in Theoretical Physics of Matter, Models, Mathematical Methods and Applications (PHYS-04/A). Professor Marini's research encompasses theoretical approaches to understanding matter physics, development of mathematical models, and applications of these methods to solve complex physics problems. His professional profile falls under Area 02 - Physics at the University of L'Aquila. While specific research projects aren't detailed in the available information, his academic discipline suggests a strong foundation in both theoretical physics and mathematical applications. Professor Marini's office is located at Edificio Renato Ricamo, via Vetoio, Coppito - 67100 L'Aquila, and he can be contacted via phone at +39 0862433047.

• Numerical Analysis
• Statistical Data Processing
• Computational Biology
• +۳ مورد دیگر

Margherita Carletti serves as a University Researcher at the Department of Pure and Applied Sciences (DiSPeA) at the University of Urbino Carlo Bo, where she specializes in numerical analysis and mathematical applications in biotechnology. Her research interests span multiple interdisciplinary fields connecting mathematics with biological applications. Numerical Analysis Statistical Processing of Experimental Data Computational Methods in Biology Mathematical Modeling for Biotechnology Experimental Data Analysis Techniques Quantitative Approaches to Biological Systems Her work demonstrates the application of advanced mathematical techniques to solve complex problems in biological and biotechnological contexts. Dr. Carletti has consistently taught core mathematics courses for the Biotechnology degree program, demonstrating her commitment to educating future scientists in quantitative methods essential for modern biotechnology research and development.

• Numerical Analysis
• Computational Fluid Dynamics
• Mathematical Epidemiology
• +۴ مورد دیگر

Alexander Fuller Viguerie is a Researcher (Ricercatore Legge 240/10 a tempo determinato) at the Department of Pure and Applied Sciences (DiSPeA) at the University of Urbino Carlo Bo. His position involves both teaching responsibilities in mathematical courses and conducting advanced research primarily focused on numerical methods and mathematical modeling. He teaches courses including Logic, Algebra and Geometry; Numerical Methods for Linear Algebra and Functional Analysis; and Statistical Processing of Experimental Data across various programs including Informatics, Digital Innovation, and Biotechnology. Viguerie's research spans multiple interdisciplinary domains with an emphasis on numerical analysis and computational methods. His primary research interests include mathematical epidemiology (particularly modeling of infectious diseases like COVID-19), computational fluid dynamics, partial differential equations, and dynamic mode decomposition techniques. His work demonstrates a strong focus on developing and applying advanced numerical methods to solve complex problems in epidemiology, fluid mechanics, and biomedical applications. He has developed compartmental models with diffusion components for spatially resolved epidemic simulations, created novel approaches using delay differential equations for disease modeling, and applied dynamic mode decomposition to accelerate simulations of cancer growth models. His publication record shows a significant shift toward mathematical epidemiology during the pandemic years, with numerous high-impact papers analyzing the spatiotemporal spread of COVID-19 across different countries. Viguerie has developed modified SEIRD models with dynamic parameterization capabilities, enabling more accurate forecasting of pandemic trajectories. His work extends beyond epidemiology to include applications in computational fluid dynamics, additive manufacturing, and biomedical modeling, demonstrating versatility across multiple application domains while maintaining a strong methodological foundation in numerical analysis. Viguerie maintains an extensive international research network, with collaborations spanning Europe, Asia, North America, and South America. His research shows particularly strong connections with institutions in Italy, the United States, Brazil, Germany, and Singapore. This global collaboration network enables him to conduct cross-country comparative studies, as evidenced by his work analyzing the spread of COVID-19 in Italy, the USA, and Brazil. His research methodology frequently combines theoretical mathematical analysis with practical numerical implementation, resulting in tools that have potential applications in public health decision-making and engineering design processes.

• Computer Networks
• Graph Drawing
• Information Visualization
• +۸ مورد دیگر

Maurizio Patrignani is a Full Professor of Computer Science at the Department of Civil, Computer and Aeronautical Engineering at Roma Tre University, where he has served since May 2017. Since November 2022, he has also held the position of Chair of the Computer Science and Engineering Faculty Board. His academic journey began with a "Laurea" degree in Electronic Engineering from the University of Rome "La Sapienza" in 1996, followed by a Ph.D. in Computer Science from the same institution in 2001. Patrignani's research spans multiple areas within computer science, with a strong focus on graph-related disciplines. His primary research interests include Computer Networks, Graph Drawing, Information Visualization, and Computational Geometry. He has developed expertise in Dynamic Graph Drawing, Orthogonal Drawings, Planarity and Planar Graphs, Upward Planarity, and Data Center Networking. His work often bridges theoretical computer science with practical applications, particularly in network visualization and analysis. The analysis of Patrignani's recent publications reveals a consistent focus on graph theory and its applications. His work demonstrates expertise in planar graph embeddings, orthogonal drawings, and upward planarity. Recent publications show increasing attention to practical applications of graph theory in network visualization, data center networking, and route planning. His research combines theoretical algorithm design with experimental validation and user studies, reflecting a comprehensive approach to solving complex problems in graph drawing and network analysis. Patrignani has been actively involved in numerous research projects throughout his career, including EU-funded initiatives like DELIS (Dynamically Evolving, Large Scale Information Systems) and GraDR (Graph Drawings and Representations), as well as national projects funded by MIUR. His collaborative work spans multiple institutions and researchers across Europe and beyond, demonstrating his significant role in the international computer science community. He has served on numerous program committees for major conferences in graph drawing and visualization, including the International Symposium on Graph Drawing (GD) where he was co-chair for GD 2008 and GD 2012. His organizational contributions extend to the Summer Workshop on Graph Drawing (SWGD) where he has been a member of the organizing committee since 2021. Patrignani's teaching portfolio at Roma Tre University includes courses on Algorithms and Data Structures, Computer Networks, Information Visualization, and Big Data Algorithms.