جستجوی استاد راهنمای دانشگاهی

Oswald Lanzمشاهده پروفایل

استاد

• Computer Vision
• Deep Learning
• Machine Learning
• +۶ مورد دیگر

Oswald Lanz is a tenured full professor at the Faculty of Engineering of the Free University of Bozen-Bolzano , leading the Visual Computing Lab . He holds a Ph.D. in Computer Science and a Mathematics degree from the University of Trento. Prior to his current role, he was a researcher and head of research at FBK Trento. He is an endowed professor collaborating with Covision Lab , an AI hub in Bressanone, and coordinates the board of professors for the PhD in Computer Science program since 2025. His research focuses on Computer Vision, Deep Learning, and Video Analytics , with applications in sports technology, medical imaging, and industrial automation. Key achievements include the Amazon AWS Machine Learning Research Award (2020) , ACM Multimedia Best Paper (2015) , and Best Student Paper at ICIAP (2007) . He co-organized the ELLIS-VISMAC Winter School (2025) and chaired ICIAP 2019 . His work spans novel view synthesis, action recognition, and anomaly detection, supported by patents in video tracking and detection. He teaches courses like Deep Learning and Artificial Intelligence in undergraduate and graduate programs. Recent projects such as 5VREAL integrate 5G, edge computing, and AI for sports analysis. His collaborations bridge academia and industry, exemplified by his role in Covision Lab and multidisciplinary initiatives like DSS4LCO for food supply chains. Lanz’s publications emphasize spatiotemporal modeling, neural architecture search, and hybrid machine vision systems.

• Geometric Measure Theory
• Calculus of Variations
• Minimal surfaces
• +۱ مورد دیگر

Andrea Marchese is an Associate Professor in the Department of Mathematics at the University of Trento since 2019. He holds a PhD from the University of Pisa (2013) and has held academic positions at the University of Pavia, University of Zurich, and Max Planck Institute for Mathematics in the Sciences (Leipzig). His research focuses on Geometric Measure Theory, Calculus of Variations, and Optimal Transport, with contributions to minimal surfaces, branched transportation networks, and singular measure analysis. Education: PhD in Mathematics, University of Pisa (2013), Thesis: 'Two applications of the theory of currents' Master's in Mathematics, University of Milan (2008), Thesis: 'Singular points for coverings of Banach spaces' Bachelor's in Mathematics, University of Milan (2006), Thesis: 'Weak topologies and their metrizability in Banach spaces' Research Interests: Geometric Measure Theory, Calculus of Variations, Optimal Transport, Minimal Surfaces, and their applications to real analysis and geometric flows. Awards & Grants: Habilitation for Full Professor in Mathematical Analysis (2022) ERC Starting Grant (2020, ranked A with a score of 484/3272 proposals) Coordinated multiple INdAM/GNAMPA projects totaling over €25,000 Awarded grants from the University of Pavia, SNF, and Marie Sklodowska-Curie Actions Teaching: Has taught courses on Mathematical Analysis, Geometric Measure Theory, and Functional Analysis at the University of Trento, Pavia, Zurich, and Freiburg. Professional Activities: Organized international workshops, served as referee for over 30 journals (e.g., Inventiones Mathematicae , Journal of Differential Geometry ), and contributed to conferences worldwide.

• Fluid Mechanics
• Multiphase Flow Modeling
• Numerical Simulation
• +۳ مورد دیگر

Marcus Herrmann is a Professor of Aerospace and Mechanical Engineering at Arizona State University's School for Engineering of Matter, Transport and Energy. He is also affiliated with the Center for Negative Carbon Emissions. His research focuses on fluid mechanics, multiphase flows, atomization processes, and numerical methods for discontinuous interfaces. Herrmann holds a PhD in Mechanical Engineering from RWTH Aachen University (2001) and a Diplom (1995). His career includes a postdoctoral fellowship at Stanford University's Center for Turbulence Research (CTR) and a visiting scientist position at the University of Technology Eindhoven, Netherlands. He has secured major grants from NASA, NSF, and industry partners like Honeywell, focusing on atomization modeling, supersonic crossflows, and turbulence simulations. Research interests span computational fluid dynamics, multiphase flow simulation, and LES/DNS methodologies. His recent work emphasizes high-fidelity numerical techniques for particle-resolved simulations and phase interface dynamics. Teaching includes courses like MAE 561 (Computational Fluid Dynamics) and MAE 384 (Advanced Math Methods for Engineers). He actively advises students through research and dissertation roles. Notable projects include modeling wax deposition in pipelines and developing novel approaches for interface dynamics in turbulent flows. His work bridges fundamental fluid mechanics with industrial applications like combustion systems and porous media modeling.

Valter Morettiمشاهده پروفایل

استاد

• Algebraic Quantum Field Theory
• Black Holes
• Functional Analysis
• +۱۰ مورد دیگر

Valter Moretti is a Full Professor in the Department of Mathematics at the University of Trento. His academic career spans roles from Research Fellow to Full Professor, focusing on Mathematical Physics and Quantum Field Theory (QFT) in curved spacetime. He earned an MSc in Physics from Genova University and a PhD in Theoretical Physics from Trento University. Research Interests : Algebraic QFT, General Relativity, Quantum Mechanics, Operator Algebras, and Spectral Theory. His work bridges mathematical rigor with physical applications, particularly in quantum localization, entanglement, and curved spacetime phenomena. Publications : Authored 15+ recent papers on topics like quantum particle localization, entanglement certification, and QFT on curved backgrounds. Collaborated on a 2022 patent for generating entangled photon states. Awards : Holds a patent for a quantum-certified random number generator (2022). Supervision : Advised 8 PhD students, including N. Pinamonti, L. Franceschini, and C. van de Ven. Coordinated national and international research projects (e.g., H2020-MSCA-COFUND-2015). Labs & Collaborations : Affiliated with INFN, TIFPA-INFN, and Q@TN (Quantum@Trento). Organized conferences like Quantum Physics and Geometry (2014) and Quantum Machine Learning (2023). Teaching : Lectures on Analytical Mechanics, Quantum Relativistic Theories, and Special Relativity. Authored textbooks on Spectral Theory and Quantum Mechanics.

• Algebraic Topology
• Differential Geometry
• Manifold Theory
• +۳ مورد دیگر

Paola Cristofori is an Associate Professor in the Department of Physical, Computer and Mathematical Sciences at the University of Modena and Reggio Emilia. Her research focuses on Algebraic Topology, Differential Geometry, and Manifold Theory, with contributions to PL topology, 4-manifolds, and combinatorial structures like crystallization theory. She teaches courses in Geometry, Linear Algebra, and Algebraic Topology for undergraduate and graduate programs in Mathematics, Civil Engineering, and Strategic Sciences. Her work emphasizes topological invariants, combinatorial methods in manifold classification, and applications of colored graphs. Key areas include trisections of 4-manifolds, Kirby diagrams, and G-degree theory. She collaborates extensively on projects involving geometric topology and computational topology tools. Dr. Cristofori’s teaching spans foundational topics in linear algebra, Euclidean geometry, and advanced algebraic topology, emphasizing rigorous proofs and practical applications. Her research is published in top journals and includes over 40 articles, reflecting her deep engagement with low-dimensional topology and geometric structures.

Daniele Loiaconoمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Medical Imaging
• +۶ مورد دیگر

Daniele Loiacono is an Associate Professor at Politecnico di Milano's Department of Electronics, Information, and Bioengineering (DEIB), affiliated with the Artificial Intelligence and Robotics Lab (AIRLab). His research focuses on interdisciplinary applications of Artificial Intelligence, Machine Learning, and Deep Learning in medical imaging, radiation therapy, and procedural content generation for games. He leads projects in synthetic image generation for radiotherapy quality assurance, automated treatment planning, and bias analysis in medical AI systems. Key research areas include medical image synthesis using GANs, radiation therapy optimization, and algorithmic game design. His contributions span clinical applications such as total marrow irradiation (TMI) planning and lymph-node segmentation, alongside innovations in shader generation and interactive evolutionary tools for game development. Loiacono collaborates on multi-center studies to validate AI-driven workflows in healthcare and has pioneered methods combining lean Six Sigma with machine learning for treatment process improvement. His work bridges clinical medicine and computer science, addressing challenges in radiation oncology, anatomical imaging, and procedural content automation. The AIRLab serves as a hub for his research, integrating AI advancements into real-world medical and engineering solutions.

Domenico Fiorenzaمشاهده پروفایل

دانشیار

• Mathematical Physics
• Algebraic Geometry
• Algebraic Topology
• +۴ مورد دیگر

Affiliations: Domenico Fiorenza is an Associate Professor at the Department of Mathematics, University of Rome La Sapienza since October 2015. Previously, he held roles as Assistant Professor (2005–2015) and PostDoc Researcher at the Universities of Rome Tor Vergata and La Sapienza. Education: Laurea in Mathematics (University of Rome La Sapienza, 1996); PhD in Mathematics (University of Pisa, 2002). Research Interests: His work focuses on mathematical physics, algebraic geometry, and topology, with contributions to deformation theory, higher structures in quantum field theory, and categorical constructions. Notable areas include T-duality in rational homotopy theory, M-theory, and derived algebraic geometry. Publications: Over 60 peer-reviewed articles, including studies on C-infinity algebras, twistor spaces, and the geometric interpretation of M5-branes. Recent work emphasizes connections between homotopy theory and physics, such as twisted Cohomotopy and anomaly cancellation in M-theory. Labs/Teams: Collaborations with Hisham Sati and Urs Schreiber on topics like super-exceptional geometry and higher TQFTs. Visiting positions at IHÉS, MPIM, and ETH Zurich highlight his international engagement.

• Critical reading of drawing
• Descriptive geometry
• History of representation
• +۵ مورد دیگر

Ursula Zich is an Associate Professor at the Polytechnic of Turin's Department of Architecture and Design (DAD), where she serves as a member of the Student Discipline Commission. Born in Turin on July 16, 1969, she holds a Doctor of Architecture degree with highest honors from the Polytechnic of Turin (1994) and a Doctor of Research in Surveying and Representation of Architecture and the Environment from the University of Genoa. Her research interests focus on critical reading of drawing, descriptive geometry, history of representation, and physical models. She leads the MAG.IA (Mathematics, Architecture, Geometry. Application Interconnections) research line and the POLIMADE project exploring scientific applications of origami. Her work spans multiple ERC sectors including application of mathematics in sciences, computational modeling in cultural spheres, cultural studies, history of art and architecture, and museum studies. Zich has published extensively on architectural representation, with recent publications examining tangible geometries for inclusive game design, architectural heritage accessibility, and interdisciplinary approaches to architectural representation. Her research demonstrates consistent integration of mathematical principles with architectural representation techniques. Effective member of Study Group on Environmental Color Design (ECD) of the International Color Association (AIC), United States (2021-) Effective member of Italian Design Union (UID), Italy (2001-) She has served on the Program Committee for multiple Italian Conferences on Origami, Educational Dynamics and Teaching since 2014. Zich also co-invented a patent for a foldable aluminum foil food tray, demonstrating practical applications of her origami research. At the Polytechnic of Turin, she teaches architectural drawing, surveying, and geometric modeling courses across multiple academic years, maintaining an active teaching schedule through the 2025/26 academic year.

Matteo Peneginiمشاهده پروفایل

دانشیار

• Algebraic Geometry
• Complex Geometry
• Birational Geometry
• +۳ مورد دیگر

Matteo Penegini serves as an Associate Professor in the Department of Mathematics at the University of Genoa, where he holds a seat on the Department Board. His teaching portfolio spans multiple degree programs including Economic and Financial Sciences, Biomedical Engineering, and Mathematical Statistics, with courses such as General Mathematics, Geometry, and Linear Algebra and Analytic Geometry. His research centers on advanced Algebraic Geometry, specializing in the classification and structural analysis of algebraic surfaces and threefolds. Key investigations include triple covers of K3 surfaces, surfaces with pg=q=2 invariants, and projective varieties of general type. His work integrates cohomological methods, birational transformations, and moduli space theory to explore geometric genus constraints and Albanese map properties. Recent publications reveal a consistent focus on geometric invariants and covering spaces, with collaborative studies examining K3 surface covers (2022), surface families with specific Chern numbers (2021), threefold classification (2021), cohomology of irregular surfaces (2020), and Zariski multiplets from isogenous surfaces (2020). This trajectory demonstrates deepening engagement with Hodge theory and moduli problems in complex algebraic geometry.

Michele Salviمشاهده پروفایل

دانشیار

• Probability Theory
• Random Processes in Random Media
• Random Graphs
• +۴ مورد دیگر

Michele Salvi is an Associate Professor in Mathematics at Università degli Studi di Tor Vergata in Rome. He previously held a Marie Skłodowska-Curie fellowship, conducting research in Berlin, Munich, and Paris. His work focuses on Probability Theory, with emphasis on random processes in random media, random graphs, and statistical mechanics, bridging applications in Physics, Computer Science, and Biology. Random processes in random media Random graphs Mathematics of Neural Networks Stochastic homogenization Mixing times for Markov chains Statistical mechanics Salvi’s recent publications highlight interdisciplinary trends, particularly in the spectral analysis of deep neural networks, scale-free percolation dynamics, and spanning tree geometry in random environments. His collaborations span Europe, with projects involving probabilistic models in epidemiology, reinforcement learning, and stochastic homogenization. He has received the Marie Skłodowska-Curie fellowship, reflecting his international research experience. His work is aligned with the Department of Mathematics at Tor Vergata, which holds the "Department of Excellence" MatMod@TOV 2023-2027 grant.

• Architectural Technology
• Bioclimatic Design
• Building Performance
• +۸ مورد دیگر

Giacomo Chiesa is a Full Professor at the Department of Architecture and Design (DAD) at Politecnico di Torino. He is a member of the Interdepartmental Center Ec-L - Energy Center Lab. His research focuses on Architectural Technology , Bioclimatic Design , Building Performance , and Urban Climate . Research Interests : Building Simulation, Passive Cooling, Smart Buildings, Digital Twin, Climate Change Adaptation Recent publications analyze urban weather datasets for energy simulations, shading control thresholds , and ventilation strategies in educational buildings. His work covers energy renovation roadmaps , thermal comfort , and climate-resilient building systems . Teaching : PhD courses in Human-Centric Methodologies and MSc courses in ICT in Building Design Research Leadership : Scientific Director for projects like Urban Generation and Prelude , EU-funded initiatives

• Mathematics Education
• History of Mathematics
• Semiotic Mediation
• +۵ مورد دیگر

Michela Maschietto is a Full Professor at the Department of Education and Human Sciences, University of Modena and Reggio Emilia, with a focus on mathematics education methodology and historical mathematical artifacts. She previously held positions at the Mathematics campus and leads the Laboratory of Mathematical Machines. Research Interests: Her work bridges physical and digital tools in mathematics education, emphasizing semiotic mediation, argumentation development, and historical instrument reconstruction for pedagogical purposes. She explores geometric-mechanical artifacts for calculus concepts and investigates connections between spatial/geometrical knowledge. 2025 study on geometry education trends using didactic tetrahedron model 2024 research on physical-digital tool integration for argumentative skill development 2023 projects involving tactile calculus devices and conic section machines Teaching Activities: She designs mandatory laboratory components for primary education students, covering national guidelines, semiotic mediation theory, and historical artifacts like abacuses and programmable robots. Her courses emphasize problem-solving, geometric visualization, and standardized assessment analysis. Laboratory Involvement: As head of the Mathematical Machines Laboratory, she organizes exhibitions and workshops using reconstructed historical instruments for mathematics popularization. This includes collaborations with international researchers on topics like the Pythagorean theorem and conic sections.

Luca Chiantiniمشاهده پروفایل

استاد

• Algebraic Geometry
• Commutative Algebra
• Tensor Analysis
• +۴ مورد دیگر

Luca Chiantini is a Full Professor at the University of Siena's Department of Information Engineering and Mathematical Sciences. Born in Siena in 1957, he earned his Mathematics degree from the University of Siena in 1979 and held academic positions at the Polytechnic of Turin, University of Naples, University of Rome 'La Sapienza', and others before joining the University of Siena in 1995. His research focuses on Algebraic Geometry, Commutative Algebra, and applications in Tensor Analysis and Multilinear Algebra. Chiantini's work explores projective varieties, secant varieties, Waring decompositions, and geometric complexity theory. He has authored over 100 publications, including studies on interpolation in higher codimension, Geproci sets, and Terracini loci. Education: Degree in Mathematics from the University of Siena (1979), followed by CNR grants and a Brandeis University fellowship (1982-1983). Academic roles include Department Director (2006-2012) and Dean of the Academic Board (2011-2012). Research Interests: Algebraic Geometry (e.g., projective varieties, secant varieties), Commutative Algebra (Hilbert functions, determinantal representations), and applied areas like tensor decomposition, geometric complexity, and algebraic statistics. His work bridges classical and modern algebraic geometry, with contributions to tensor rank, identifiability, and secant defectivity. Key Projects: Studies on interpolation, secant varieties, and geometric configurations. Collaborations on tensor analysis with applications in statistics and theoretical physics. Active in academic service and education, teaching advanced geometry and mathematics pedagogy.

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.

• Optimal Transport
• Geometric Analysis
• Ricci Curvature
• +۳ مورد دیگر

Fabio Cavalletti is a Full Professor at the University of Milan, specializing in geometric analysis, optimal transport theory, and synthetic curvature bounds. His work bridges differential geometry, mathematical physics, and functional inequalities, with particular focus on Lorentzian spaces and Ricci curvature. He has organized international workshops and conferences on optimal transport and geometric analysis. Research interests include optimal transport in Lorentzian and Riemannian settings, synthetic Ricci curvature conditions, isoperimetric inequalities, and geometric flows. Recent work explores timelike Ricci curvature bounds, null hypersurfaces in general relativity, and applications to quantum information geometry. Key contributions include foundational results on displacement convexity, quantitative Obata's theorem, and optimal transport in singular spaces. He has collaborated extensively with researchers like Andrea Mondino and Nicola Gigli, producing over 35 peer-reviewed publications. Notable activities include organizing the 2024 School and Conference on Metric Measure Spaces, 2025 Workshop on Optimal Transport and Metric Geometry, and mentoring junior researchers in geometric analysis. Current projects address synthetic timelike curvature in Lorentzian spaces and applications to general relativity.