جستجوی استاد راهنمای دانشگاهی

Giorgio Grisettiمشاهده پروفایل

استاد

• Mobile Robotics
• SLAM
• Robot Localization
• +۳ مورد دیگر

Giorgio Grisetti is a Full Professor at Sapienza University of Rome within the Department of Systems and Computer Science, maintaining active research roles in the RoCoCo lab at Sapienza since November 2010 and the Autonomous Intelligent Systems Lab at Freiburg University where he previously served as a Post Doc under Wolfram Burgard starting in 2006. His educational background includes a M.Sc. in Computer Engineering from the University of Rome (2001) and a Ph.D. from Sapienza University of Rome's Intelligent Systems Lab (2006), supervised by Daniele Nardi. His doctoral thesis focused on SLAM using Rao-Blackwellized particle filters. Dr. Grisetti's research centers on mobile robotics with emphasis on robust solutions for autonomous navigation systems. His work spans theoretical and practical advancements in Simultaneous Localization and Mapping (SLAM), robot localization, path planning, and sensor fusion, particularly leveraging LiDAR and multi-sensor configurations. Recent publications demonstrate strong focus on optimization techniques, sensor calibration, and real-time performance for autonomous systems operating in complex environments. His publication trends reveal deep specialization in LiDAR-based SLAM (7 of 15 recent articles), bundle adjustment methods (4 articles), and sensor calibration/perception (3 articles), with consistent contributions to top robotics venues like IEEE Robotics and Automation Letters and ICRA. Key recognitions include: Nomination for the best IROS paper award (2010) Open Source achievement award from Willow Garage (2010) Best paper award at the International Conference and Exhibition on Unmanned Areal Vehicles (2010) Best Paper award at ICRA 2009 (2009) His research is conducted through the RoCoCo lab at Sapienza University of Rome and the Autonomous Intelligent Systems Lab at Freiburg University, focusing on developing foundational algorithms for mobile robot autonomy. Current projects emphasize robust perception systems, optimization frameworks for sensor fusion, and practical implementations for real-world navigation challenges.

Simon Masnouمشاهده پروفایل

استاد

• Applied Mathematics
• Image Processing
• Shape Optimization
• +۵ مورد دیگر

Simon Masnou is a Full Professor at Université Claude Bernard Lyon 1, affiliated with the Institut Camille Jordan (CNRS UMR 5208). He holds leadership roles as Head of the 'Applied Mathematics, Statistics' Master's degree and Head of the 'M2 Maths in Action' program. Previously, he served as Director of the Camille Jordan Institute (2018-2022). His research focuses on applied mathematics, image processing, shape optimization, and geometric measure theory, with contributions to variational models, geometric flows, and applications in computer vision and materials science. Education: PhD in Mathematics (1998, Paris Dauphine) and HDR (2008, Paris 6). Research projects include ANR STOIQUES (2024-2028), PEPR PDE-AI (2023-2028), and collaborations with industry on topics like defect prediction in aluminum production and high-dimensional data analysis. Teaching includes courses on linear algebra, optimization, and machine learning at undergraduate and graduate levels. Key contributions span phase field models, varifold-based surface approximation, and image inpainting. He supervises PhD students in geometric variational problems and computational methods. His work bridges theoretical mathematics with industrial challenges, addressing issues in materials science, medical imaging, and cultural heritage preservation.

• Structural Health Monitoring
• Machine Learning in Civil Engineering
• Earthquake Engineering
• +۹ مورد دیگر

Marco Martino Rosso is a Research Fellow at the Department of Structural, Building and Geotechnical Engineering (DISEG) at the Polytechnic University of Turin, where he also serves as an external lecturer and teaching assistant in both DISEG and the Department of Mathematical Sciences (DISMA). He is affiliated with the Doctoral School (SCDOTT) and completed his PhD under the supervision of Professor Giuseppe Carlo Marano. His academic work bridges civil engineering with advanced computational methods, focusing on structural health monitoring, optimization, and machine learning applications. His research interests center on Structural Health Monitoring , Machine Learning in Civil Engineering , Earthquake Engineering , Structural Optimization , Operational Modal Analysis , and AI-driven diagnostics for infrastructure. He applies deep learning, neural networks, and hybrid modeling techniques to problems such as damage detection, post-earthquake assessment, tunnel and bridge monitoring, and dynamic analysis of timber and concrete structures. His recent publications, spanning from 2023 to 2025, demonstrate a strong trend toward integrating artificial intelligence with structural engineering, particularly in automating modal analysis, optimizing structural forms, and enhancing seismic resilience. These works appear in journals like Mechanical Systems and Signal Processing , Computers & Structures , and Bulletin of Earthquake Engineering , as well as in proceedings of international conferences such as IOMAC and EWSHM. Marco Rosso has not received any explicitly mentioned scientific awards in the provided text. However, his extensive publication record and active role in research projects indicate strong recognition in his field. He has contributed to teaching as a course collaborator in subjects including Dynamic Identification of Structures , Statistics , Construction Techniques , and Safety Assessment and Retrofitting of Structures . He has also been involved in the ARTISTE 2025 Summer School, indicating engagement in advanced training programs. While no formal lab or team name is specified, his frequent collaborations with researchers such as Angelo Aloisio, Giuseppe Carlo Marano, and Jonathan Melchiorre suggest he is part of a vibrant research group focused on intelligent structural systems and data-driven engineering at Politecnico di Torino.

• Architecture
• Art and architecture
• Building information modeling (BIM)
• +۱۱ مورد دیگر

Giovanna Massari is an Associate Professor at the Department of Civil, Environmental and Mechanical Engineering, University of Trento. She serves as Rector's Delegate for Open Science and President of the Open Science Commission. Specializes in architectural design, digital modeling, and BIM/HBIM technologies Teaches courses on Civil Design + CAD, Digital models for the project, and Architectural survey with Design Laboratory Expertise includes geometric modeling, photogrammetry, and spatial representation Her research focuses on integrating digital technologies with architectural surveying and civil engineering design. She emphasizes interdisciplinary approaches and digital interoperability in construction projects. Teaching activities include training students in visual analysis, 3D digital modeling, and technical communication standards for civil engineering applications.

• Computer Graphics
• Geometry Processing
• Computational Topology
• +۴ مورد دیگر

Michela Spagnuolo is a Research Director at the Italian National Research Council’s Institute of Applied Mathematics and Information Technology (CNR-IMATI-GE) since 2001. Her work bridges Computer Graphics , Geometry Processing , and Computational Topology , with applications in 3D Shape Analysis , Cultural Heritage , and Bioinformatics . Co-supervised 6 PhD theses (plus 2 ongoing) Associate Editor for journals like The Visual Computer and Computers&Graphics Chair of conferences including Shape Modeling International and EG Workshops on 3D Object Retrieval Research Interests : Focus on geometric and semantic modeling of 3D objects , computational topology for shape analysis , and structural/similarity evaluation . Her work enables advanced 3D search engines , semantic annotation , and medical imaging applications . Article Trends : Recent publications emphasize mesh quality indicators for Virtual Element Methods in engineering simulations and semantic-driven 3D model analysis for medical diagnostics and cultural heritage . Key subtopics include topological decomposition , data processing services , and multi-scale modeling . Scientific Awards : Fellow of the Eurographics Association (2014) Notable Contributions : Led projects like IQmulus (geospatial data analytics) and MultiScaleHuman (medical shape modeling). Pioneered CIDOC CRMdig for cultural heritage documentation and developed techniques for kernel computation in polyhedra .

• Robotics
• Manufacturing Engineering
• Mechanical Engineering Design
• +۵ مورد دیگر

Fabio Pini is an Associate Professor at the University of Modena and Reggio Emilia's Department of Engineering 'Enzo Ferrari'. His research focuses on robotics, manufacturing engineering, and advanced design methodologies. He leads the IDEALab (Intelligent Design, Engineering, and Automation Laboratory) and teaches courses in Smart Robotics, Automotive Design, and Additive Manufacturing. Education: Not explicitly stated in provided texts. Research Interests: Collaborative robotics and human-robot interaction Computer-aided design (CAD) and topology optimization Additive manufacturing processes and sustainability Automotive component design and lightweighting Robotics in medical applications (e.g., surgical navigation) Manufacturing process integration and automation Teaching: Smart Robotics (Master's in Electronics/Computer Engineering) Formula SAE Vehicle Design (Mechanical Engineering) Integrated Computer-Based Design (Mechanical Engineering) Automotive Computer-Aided Design (Advanced Automotive Engineering) Labs/Teams: IDEALab focuses on intelligent design systems, robotic automation, and advanced manufacturing solutions. Collaborations include industry partners for automotive and medical robotics projects.

• Advanced and sustainable manufacturing
• Advanced design
• Algorithm design and analysis
• +۱۲ مورد دیگر

Laura Sardone is a Fixed-term Assistant Professor and researcher at the Department of Structural, Building and Geotechnical Engineering (DISEG) at the Polytechnic University of Turin. She is an invited member of both the College of Architecture and Design and the College of Civil and Building Engineering, reflecting her interdisciplinary role in engineering and architectural education and research. Her research focuses on advanced computational methods in civil and structural engineering, particularly in algorithm-aided design , structural optimization , and applied artificial intelligence . Her work bridges civil engineering with computational mathematics, focusing on sustainable manufacturing, digital construction, and efficient structural systems. She integrates topics such as numerical analysis, topology, control theory, and scientific computing into practical engineering solutions. The recent publications highlight a consistent trend in computational structural design , especially in optimizing variable-section beams and arches using advanced algorithms and simulation tools. These works reflect a strong emphasis on sustainability, efficiency, and digital innovation in construction, aligning with EU research goals in circular economy and smart infrastructure. Laura Sardone actively supervises PhD students and contributes to major research initiatives such as the EU-funded ADAPT4CE project, which develops adaptive digital systems for sustainable construction in the circular economy. She teaches advanced courses in generative design, parametric modeling, and structural optimization at both PhD and master’s levels. Her technical expertise spans multiple ERC sectors including artificial intelligence, computational engineering, civil engineering, and optimization. Her research supports key UN Sustainable Development Goals, particularly Goal 9 (Industry, Innovation, and Infrastructure) , Goal 11 (Sustainable Cities and Communities) , and Goal 13 (Climate Action) . She is involved in interdisciplinary research teams and leads computational modeling efforts in structural optimization. Her work is published in high-impact journals and conference proceedings, demonstrating her active role in advancing digital methods in civil and architectural engineering.

• Geometric Algebra
• Clifford Algebra
• Medical Imaging
• +۵ مورد دیگر

Silvia Giuseppina Franchini serves as a Contract Teacher in the Department of Biomedicine, Neuroscience and Advanced Diagnostics at the University of Palermo's School of Medicine and Surgery. Her academic career demonstrates a strong interdisciplinary focus bridging advanced mathematical frameworks with practical medical applications. Dr. Franchini's research interests include: Geometric and Clifford Algebra applications in medical imaging Hardware acceleration for geometric algebra operations Machine learning approaches for medical diagnosis, particularly for Crohn's disease Embedded systems design for real-time image processing Robotics control systems using conformal geometric algebra Medical image analysis and 3D reconstruction Her publication record spanning fifteen years reveals an evolution from foundational hardware implementations to sophisticated medical applications. She has developed specialized architectures including the GAPPCO system, ConformalALU coprocessor, and GAPP compiler, demonstrating innovative approaches to implementing geometric algebra in hardware for medical imaging. Her recent work emphasizes machine learning applications for Crohn's disease classification, showing how mathematical frameworks can translate to clinical diagnostic tools. Dr. Franchini maintains active research engagement with publications continuing through 2022, indicating ongoing contributions to the field of medical imaging technology development. Her work consistently addresses computational challenges while maintaining clinical relevance, particularly in gastroenterology through her Crohn's disease research.

VERNIZZI Chiaraمشاهده پروفایل

استاد

• Architectural Design
• Urban Design
• Surveying of Historical Architecture
• +۷ مورد دیگر

Chiara Vernizzi is a Full Professor in the Department of Engineering and Architecture at the University of Parma, where she has held academic positions since 2002, progressing from Researcher to Associate Professor (2010) and Full Professor (2018). She is actively involved in teaching, research, and leadership, currently serving as Coordinator of the Architecture Unit (2021–2024) and Deputy President of the Master’s Degree Course in Sustainable Architecture and Cities. PhD in 'Design and Survey of the Building Heritage' (1999) Graduated in Architecture, Politecnico di Milano (1991, 100/100) Her research focuses on Architectural and Urban Design, Surveying, and Digital Representation, particularly in historical contexts. She investigates methods for representing cities, computer-aided rendering of historical architecture, and modern graphic representation of architectural projects. Her work integrates advanced technologies like 3D laser scanning and BIM for heritage documentation and urban analysis. Her recent publications reflect a strong trend in urban survey, digital modeling, heritage conservation, and post-disaster reconstruction. Themes include BIM applications (eBIM project), representation in urban planning, and interdisciplinary drawing methodologies. The research spans from Renaissance architecture to contemporary sustainable city design. Scientific Responsible, eBIM Project (POR_FESR Emilia Romagna, 2018) Member, Scientific Technical Committee of Italian Design Union (UID) Editorial Committee Member, 'design' magazine (UID) Rector’s Delegate for Orientation, University of Parma Member, PhD Teaching Staff in Civil Engineering and Architecture Prof. Vernizzi has supervised numerous PhD theses and participated in major research grants, including PRIN and international collaborations. She has led multiple third-mission projects with municipalities and cultural institutions, focusing on urban regeneration, post-earthquake reconstruction, and digital documentation of heritage sites. Her work bridges academia and public policy. She leads and participates in research teams and labs focused on architectural survey, digital representation, and sustainable urban development. These include collaborations with the Interdepartmental Center for Energy and the Environment (CIDEA), Superintendence for Architectural Heritage, and international partners such as the University of Ferrara and ERASMUS+ programs.

Maria Lucia Sampoliمشاهده پروفایل

دانشیار

• Numerical Analysis
• Computer Aided Geometric Design
• Isogeometric Analysis
• +۷ مورد دیگر

Maria Lucia Sampoli is an Associate Professor in the Department of Information Engineering and Mathematics at the University of Siena, Italy. She holds a PhD in Computational Mathematics and Operational Research from the University of Milan and has been a faculty member at the University of Siena since 1999, advancing from Research Assistant to tenured Assistant Professor in 2002 and to Associate Professor in 2010. Her academic journey includes a postdoctoral fellowship at the Technical University of Darmstadt and a CNR Senior Fellowship. PhD in Computational Mathematics and Operational Research, University of Milan (1998) Laurea in Mathematics (Honors), University of Florence (1994) Her research focuses on Numerical Analysis , particularly in Computer Aided Geometric Design (CAGD) , Isogeometric Analysis (IGA) , Pythagorean Hodograph (PH) curves and surfaces , Boundary Element Methods , and constrained interpolation and approximation . Recently, she has explored mathematical aspects of deep learning , especially the theoretical foundations of Graph Neural Networks. Her work bridges pure mathematical theory with engineering and computational applications. The most recent publications highlight a consistent trend in geometric modeling and numerical methods, with increasing interdisciplinary reach into machine learning. Topics span from high-precision curve and surface design to advanced numerical techniques for PDEs and the mathematical analysis of neural networks. She has participated in and organized numerous international conferences such as SIAM CSE, IGA, and SMART, and has been involved in multiple research projects, some as coordinator. While specific scientific awards are not listed, her invited talks at major conferences reflect recognition in her field. Maria Lucia Sampoli supervises graduate research and teaches courses including Numerical Calculation and Numerical Modeling . She is actively involved in academic service, including conference organization and research project leadership. She maintains an open-door policy for student consultations and is accessible via email for appointments. She is affiliated with the SAILab (Siena Artificial Intelligence Lab), indicating institutional engagement with AI and computational intelligence research.

Carolina Vittoria Beccariمشاهده پروفایل

دانشیار

• Geometric modeling
• Numerical methods for curves and surfaces
• Interpolation
• +۴ مورد دیگر

Carolina Vittoria Beccari is an Associate Professor in the Department of Mathematics at the University of Bologna, Italy, a position she has held since October 2021. Previously, she served as Senior Assistant Professor (2018-2021) and Junior Assistant Professor (2014-2018) at the same institution. Her academic career includes several postdoctoral research fellowships at the University of Bologna in Mathematics, Physics and Astronomy, and the CIRAM (Interdepartmental Research Center for Applied Mathematics). Her educational background includes: Ph.D. in Computational Mathematics from the University of Padova, Italy (2007) M.Sc. in Mathematics from the University of Bologna, Italy (2003) Dr. Beccari's research focuses on geometric modeling, numerical methods for curves and surfaces, interpolation, subdivision schemes, splines, and computer-aided design. She has made significant contributions to the theory and application of Chebyshevian splines, multi-degree B-splines, and rational geometric splines. Her work bridges theoretical mathematics with practical applications in engineering and design, particularly in developing numerical methods that can automatically generate smooth boundary surfaces from tessellations produced by topological optimization. Her research interests also extend to approximation theory and the integration of advanced mathematical techniques into CAD systems. Analysis of her recent publications reveals a clear progression from foundational work on subdivision schemes to more sophisticated applications in topological optimization and industrial design problems. Her work demonstrates increasing sophistication in handling multi-degree splines and Chebyshevian spaces, with growing emphasis on practical applications in manufacturing and engineering design processes. Dr. Beccari has secured multiple research grants including the Alma Idea research grant (2022/23) for mathematical methods to enhance structural optimization of environmentally friendly transport vehicles, the Eurostars Project NIIT4CAD (2010/12), and the University of Bologna Strategic Project IT4CAD (2007/09). She has also participated in numerous research projects funded by INdAM-GNCS on spline regression, data processing, and approximation methods. She teaches multiple courses at the University of Bologna including Introduction to Numerical Methods, Numerical Methods M, and Analisi Numerica e Modellazione Geometrica across various engineering and design programs. Her teaching spans both undergraduate and graduate levels with courses offered in both Italian and English, reflecting her international academic engagement.

• Industrial Engineering
• Mechanical Design
• Computer-Aided Design (CAD)
• +۷ مورد دیگر

Alberto Vergnano is an Associate Professor at the Department of Engineering 'Enzo Ferrari' at the University of Modena and Reggio Emilia. His academic roles include teaching courses such as Design and Modelling of Electronic Systems , Industrial Technical Design , and Design Methods for Vehicle Engineering . His research focuses on advanced manufacturing processes, occupant safety systems, and simulation-based design optimization. Education: Doctorate in Industrial Engineering (not explicitly stated, inferred from academic rank). Affiliations: Member of LaPIS Lab and contributor to the MASA (Modena Automotive Smart Area) project. Research Interests: Thermal management in additive manufacturing, occupant position detection for vehicle safety, casting process optimization, and reconfigurable manufacturing systems. Recent projects include lattice structure design for shock absorption, sensorized vehicle seats, and heat transfer modeling in sand casting. Publications: Over 30 peer-reviewed articles and conference papers since 2019, emphasizing simulation-driven design and safety engineering. Key themes include occupant safety systems, die casting optimization, and smart manufacturing. Labs/Teams: Active in the LaPIS Lab, focusing on design tools and methods. Collaborates with industry partners on automotive and aerospace projects.

• Additive Manufacturing
• Automotive Engineering
• Design Optimization
• +۳ مورد دیگر

Francesco LEALI is a Full Professor at the Department of Engineering 'Enzo Ferrari' of the University of Modena and Reggio Emilia. His research focuses on Additive Manufacturing, Automotive Engineering, and Design Optimization, with applications in materials science and industrial processes. He teaches courses such as "Total Quality Management Oriented Design" and "Vehicle Conceptual Design" in the Master's programs of Mechanical Engineering and Advanced Automotive Engineering. Research Interests: Professor LEALI's work emphasizes sustainable design methodologies, advanced manufacturing processes (e.g., die casting, powder bed fusion), and the integration of sensor technologies in automotive safety systems. He has pioneered studies on multifunctional lattice structures for thermal management and shock absorption, as well as tolerance allocation and process simulation for automotive components. Publications: His recent articles address topics like additive manufacturing optimization, robust die casting processes, and sensorized seat systems for occupant safety. These contributions highlight advancements in manufacturing efficiency, material performance, and human-centric automotive design. Labs/Teams: His research is conducted within the Department of Engineering's facilities, collaborating with industry partners to bridge academic innovation with real-world applications in automotive and sustainable mobility sectors.

• Reverse Engineering
• Computer-Aided Design (CAD)
• Additive Manufacturing
• +۳ مورد دیگر

Francesco Buonamici is a Researcher (RTDA) at the Department of Industrial Engineering, University of Florence, specializing in the SSD ING-IND/15 (Industrial Engineering). His roles include research on Reverse Engineering, Additive Manufacturing, and CAD technologies, with a focus on personalized medicine and biomedical applications. Education includes a PhD in Industrial Engineering (2018), a Master's in Mechanical Engineering (2014, 110/110 cum laude), and a BSc in Mechanical Engineering (2011). Research interests span Reverse Engineering methodologies, topology optimization, 3D printing for medical devices, and computational tools for surgical planning. He has contributed to over 40 publications in areas like CAD reconstruction, medical 3D modeling, and materials science. His work includes developing tactile exploration systems for the visually impaired and optimizing manufacturing processes for FDM 3D printers. He has held roles from 2017, including fixed-term researcher (2017–2020), Technologist (2020–2022), and currently RTDA since 2022. His research often bridges engineering and medicine, addressing challenges in surgical planning, prosthetics, and medical device design.

• Advanced Manufacturing
• Sustainable Manufacturing
• Industry 5.0
• +۳ مورد دیگر

Alessandro Simeone is an Associate Professor at Politecnico di Torino, affiliated with the Department of Management and Production Engineering (DIGEP) and College of Management and Production Engineering. His research focuses on advanced and sustainable manufacturing with particular emphasis on Industry 5.0, human-centric approaches, and AI integration. Faculty member since 2021 Researcher in Manufacturing Technologies and Systems Teaching roles across Biomedical Engineering and Management Engineering programs Key research areas include sustainable manufacturing systems, inclusive production strategies, and AI-driven process optimization, with specific attention to SDG goals 3 (Health), 8 (Decent Work), 10 (Equality), and 13 (Climate Action). His recent publications demonstrate strong focus on AI applications for manufacturing inclusivity, particularly for neurodiverse operators, and sustainable production optimization. Notable works include AI-based assistance systems for assembly and smart approaches to waste reduction. Teaching activities span multiple courses across academic years 2021-2025, including: Sustainable Manufacturing (2024-2025) Manufacturing Technologies and Processes (Biomedical Engineering) Analysis and Management of Production Systems Designing Diversity PhD course collaboration As thesis supervisor for Yuchen Fan's PhD in Management and Production Engineering (39th cycle, 2023-ongoing), he continues to shape next-generation manufacturing research.