Davide Stocco is a Research Fellow at the Department of Industrial Engineering, University of Trento. He also serves as a Teaching Assistant in the same department, contributing to courses like Computational Methods for Mechatronics and Mechatronic Systems Simulation. His research focuses on symbolic-numerical analysis, differential-algebraic equations (DAEs), and computational mechanics. He develops tools for real-time simulations, tire-ground modeling, and matrix factorization techniques. Recent publications reveal trends in DAE index reduction using symbolic computation, parallel processing of bordered matrices, and geometric modeling for mechatronic systems. His work bridges symbolic mathematics with practical engineering applications. As a Teaching Assistant, he collaborates with Professors Enrico Bertolazzi and Francesco Biral in the Mechatronics Engineering program. He actively contributes to academic research and teaching at the University of Trento.
Francesca Pelosi serves as an Associate Professor in the Department of Information Engineering and Mathematical Sciences at the University of Siena, teaching core numerical analysis courses including Numerical Calculation for Computer Engineering undergraduates and Numerical Modeling for Applied Mathematics master's students across multiple academic years (2022/2023–2025/2026). Her research expertise spans Numerical Analysis , Computer-Aided Geometric Design , and Approximation Theory , with specialized focus on: Pythagorean-hodograph curve construction and modification Geometric continuity constraints in spatial interpolants Fractal properties of subdivision schemes Spectral analysis of isogeometric matrices Wavelet scattering applications for signal classification Numerical algorithms for computer-aided design systems Analysis of her 2023–2025 publications reveals consistent innovation in geometric modeling algorithms, particularly for preserving curve properties under control-point modifications and developing specialized interpolants with prescribed arc lengths, demonstrating strong interdisciplinary connections between computational mathematics and engineering applications. Scientific awards: No awards or fellowships were documented in the source material. Advising and grants: The provided text contains no information regarding graduate student supervision, research grants, or funded projects. Labs and teams: No laboratory affiliations, research groups, or collaborative teams were specified in the available documentation.
Carlotta Giannelli is an Associate Professor at the University of Florence, within the Department of Mathematics and Computer Science (DIMAI) and the Florence Center for Data Science (FDS). She holds a Ph.D. in Computer Science and Applications (2010) and a Laurea in Computer Science (2006), both from the University of Florence. Her research focuses on computational geometry, isogeometric analysis, and spline approximation, with applications in numerical methods and geometric modeling. Education: Ph.D. in Computer Science and Applications (2010), University of Florence; Laurea in Computer Science (2006), University of Florence. Research Interests: Giannelli specializes in adaptive isogeometric methods, hierarchical splines, and rotation-minimizing frames. She has contributed to advancements in parameterization for computational domains, fault detection in scattered data, and applications in additive manufacturing. Her work bridges theoretical foundations with industrial applications, such as turbine blade design and structural biology analysis. Publications: Giannelli has authored numerous articles on topics like hierarchical B-splines, THB-splines, and Pythagorean-hodograph curves. Her recent work emphasizes adaptive refinement strategies and numerical integration techniques. Scientific Awards: Marie Curie Intra-European Fellowship (2011–2013), Marie Curie Actions (2013), Marie Curie Initial Training Network (2010). Teaching: Courses include Numerical Methods for Graphics (Master's level) and Computational Numerical Methods (Undergraduate/PhD levels). Grants: PI of RTD-UNIFI (2019–2020) and DREAMS (2014–2018), funded by MIUR. Co-organizer of conferences like SIAM GD 2023 and GMP 2020. Labs/Teams: Active in DIMAI and the Florence Center for Data Science, collaborating on projects like SUNRISE and parameterization for isogeometric analysis.
Prof. Ferruccio Mandorli is a Full Professor at the Department of Industrial Engineering and Mathematical Sciences (DIIoM) at University Politecnica delle Marche (UNIVPM). His primary affiliation is within the Engineering school, focusing on mechanical design automation, CAD education, and sustainable product development. He holds a prominent role in academic research and curriculum design. Research Interests: Prof. Mandorli's work revolves around innovative Mechanical Computer-Aided Design (MCAD) education methodologies, parametric modeling techniques, eco-design frameworks, and virtual prototyping. His recent focus includes developing formative feedback systems for CAD education, dormant deficiency detection in design models, and integrating negative knowledge to enhance competency development. Research Trends: Over the past decade, his publications emphasize advancing MCAD pedagogy through real-time feedback tools, parametric feature analysis, and error-driven learning systems. He has pioneered approaches to bridge design intent representation with manufacturing processes, particularly in laser welding and modular product development. Environmental sustainability is a recurring theme, with studies on eco-design tools and life-cycle assessment integration. Advising & Grants: While no specific student advisees are listed, his involvement in PhD programs and research projects indicates active mentorship roles. He collaborates on EU-funded initiatives like Horizon 2020 projects related to smart grids and eco-conscious production. Labs & Teams: His research activities are conducted within DIIoM's advanced engineering labs, focusing on virtual prototyping, CAD system development, and sustainable manufacturing processes. He coordinates interdisciplinary teams working on modular product design and educational technology innovations.
Full Professor of Computer Science at the University of Modena and Reggio Emilia. Previously held faculty positions at Sapienza Università di Roma (Associate and Full Professor), Dartmouth College (Assistant and Associate Professor), and Cornell University (Visiting Assistant Professor). Also worked in the R&D division of Pixar Animation Studios. Dr. Pellacini received an MS and Ph.D. in Computer Science from Cornell University and a Laurea degree in Physics from the University of Parma. His research focuses on using Computer Graphics methods to solve design problems, with emphasis on the design, creative and entertainment industries. His group combines algorithms and efficient systems to allow professional designers as well as novices to create 3D scenes with significantly less effort. They investigate algorithms based on numerical methods and machine learning to enable intuitive and interactive editing of complex environments. Key research areas include appearance design (patterns, materials, and lights), appearance fabrication, evaluation and visualization of designers' workflows, and cloud-based collaborative design. His recent publications demonstrate a strong focus on procedural modeling, appearance design, and collaborative 3D content creation. His work bridges the gap between theoretical computer graphics research and practical applications for designers and artists, with significant contributions to node-based editing systems, boolean operations on surfaces, and differentiable rendering techniques for appearance design. NSF CAREER Award Alfred P. Sloan Fellowship Nominated as Junior Faculty Fellow for Sapienza's Scuola Superiore di Studi Avanzi Dr. Pellacini has supervised numerous students and has been actively involved in research grants related to computer graphics and design systems. He teaches Computer Graphics, Introduction to Scientific Python, and Programming courses at the University of Modena and Reggio Emilia, continuing a long teaching career that spans multiple institutions including Sapienza University of Rome and Dartmouth College. He leads a research group focused on developing innovative tools for 3D design and content creation, with applications spanning from entertainment to industrial design. His work on collaborative design systems, appearance editing interfaces, and procedural modeling techniques continues to shape how designers interact with 3D content creation tools.
Enrico Vezzetti is a Full Professor at the Department of Management and Production Engineering (DIGEP) , Polytechnic University of Turin, Italy. He serves as Coordinator of basic subjects for the 2nd year of Engineering and contributes to doctoral programs in Management and Production Engineering. His research focuses on virtual/digital human behavior analysis for human-centered design , spanning 3D modeling , product lifecycle management (PLM) , and augmented reality (AR) applications in medicine and industry. Research Interests : 3D Face Analysis, Human-Computer Interaction, Product Design, Medical Imaging, Computational Modeling, Industrial Innovation. His recent work explores 3D methodologies for predicting post-surgical facial changes, machine learning in VR environments for stress assessment, and augmented reality systems for orthopedic and maxillofacial surgery. He has developed patented tools for 3D surgical guides and real-time facial expression recognition . He has authored over 100 publications and holds editorial roles in journals like Pattern Recognition and Applied Sciences . His projects include regionally and EU-funded initiatives such as DAS (Design for Augmented Surgery) and Media - Museo Emozionale , focusing on healthcare and cultural preservation. Scientific Awards : Young Researchers - 2011 Award (2011) Polytechnic University of Turin Publications Award (2011, 2012) He leads research groups in 3D Lab and collaborates with institutions on digital twins , smart manufacturing , and medical AI systems , emphasizing cross-fertilization between academia and industry .
Lucia Romani is a Full Professor in Numerical Analysis at the Department of Mathematics, University of Bologna. She holds a PhD from the University of Padua (2004) and a Master's Degree in Mathematics (summa cum laude) from the University of Bologna (2000). Her research focuses on geometric modeling, approximation theory, numerical linear algebra, and applications in computer-aided design and image processing. She has authored over 80 scientific publications and serves on editorial boards of journals like Computer-Aided Design and Computer Aided Geometric Design . She actively participates in SIAM and the Solid Modeling Association (SMA), holding leadership roles such as Vice Chair of the SIAM Activity Group on Geometric Design (2023-2024) and Program Co-Chair of SPM 2025. Her work includes organizing international conferences and supervising numerous theses across PhD, Master's, and Bachelor's levels. Her professional journey includes roles at the University of Milan-Bicocca (2007-2022) and postdoctoral fellowships at the University of Bologna (2003-2007) and the University of Cambridge (2002). She has conducted research visits at institutions like the University of Cambridge, EPFL, and ICTP Havana. She has also served on evaluation committees for doctoral theses and research projects in Italy and abroad. Research interests span subdivision schemes, Pythagorean Hodograph curves, and spline-based interpolation. Her recent work includes advancements in algebraic characterizations of curves, non-stationary subdivision algorithms, and applications in biomedical imaging and computer graphics.
Francesco GHERARDINI is an Associate Professor at the Department of Engineering 'Enzo Ferrari', University of Modena and Reggio Emilia. His research focuses on CAD-based design methods, sustainable manufacturing, additive manufacturing, and cultural heritage preservation. He teaches courses in integrated design, CAD laboratory, and vehicle engineering at both undergraduate and graduate levels. Research Interests: His work spans mechanical design, automotive systems optimization, composite materials, tolerance analysis, and digital heritage applications. He has led projects on 3D reconstruction of historical artifacts, AR-enhanced cultural tourism, and carbon footprint reduction in aerospace/automotive components. Recent Contributions: Recent work includes scalable living lab frameworks for autonomous vehicles (MASA project), design archetypes for mechanical transmissions, and co-design methodologies for assistive devices using AM. He actively collaborates with industries and museums, integrating CAD/CAE tools for real-world applications. Labs/Teams: Part of the LaPIS Lab (Laboratory for Product Innovation and Sustainable Design), focusing on interdisciplinary engineering solutions. Engaged in EU-funded initiatives and international conferences like Florence Heri-Tech and ADM.
