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Paolo Maria MarianoView profile

Associate Professor

• Continuum Mechanics
• Thermodynamics
• Computational Mechanics
• +6 more

Prof. Paolo Maria Mariano is an Associate Professor of Mechanics of Solids at the University of Florence and holds adjunct positions at the Scuola Normale Superiore (Pisa) and Gonzaga University (Florence). He earned his PhD in 1997 from Sapienza University of Rome and a Laurea in Structural Engineering. His research focuses on continuum mechanics, thermodynamics, computational methods, and statistical mechanics of complex materials, with applications to quasicrystals, polymeric fluids, and fracture mechanics. He has authored over 80 journal papers and edited several books. His work includes studies on material mutations, microstructural dynamics, and variational integrators. Education: PhD (1997, Sapienza University Rome), Laurea in Structural Engineering (Sapienza), High School in Humanities. Research Interests: Mechanics and thermodynamics of continua, computational methods (e.g., XFEM, variational integrators), statistical mechanics of substructural stochasticity. Key areas include quasicrystals, ferroelectrics, plasticity, and fracture mechanics. Publications Trends: Recent work emphasizes quasicrystal mechanics, phason dynamics, and multi-scale modeling. Notable contributions address spatial decay analysis, covariance in plasticity, and line defect evolution. Grants & Advising: Supervised 14 students, including Furio Lorenzo Stazi (ECCOMAS Prize winner). Editorial roles include Mathematical Methods in the Applied Sciences and Structural Engineering and Mechanics . Labs/Teams: Coordinator of the Theoretical Mechanics group at the De Giorgi Center, Pisa, and part of the Non-Linear Dynamics PhD program at the University of Florence.

Timothy ClarkView profile

Assistant Professor

• Commutative Algebra
• Combinatorics
• Algebraic Topology
• +3 more

Timothy Clark is an Assistant Professor in the Department of Mathematics and Statistics at Loyola University Maryland. His research focuses on the intersection of commutative algebra, combinatorics, and algebraic topology. He actively engages students in mathematical thinking, emphasizing dynamic classroom interactions. Clark holds a Ph.D. in Mathematics from the University at Albany, SUNY (2008), and has prior teaching experience at the high school level. His work includes collaborations with engineers and lacrosse officials on applied problems in machine vision and scheduling. Education: Ph.D. Mathematics, University at Albany, SUNY (2008) M.A. Mathematics, University at Albany, SUNY (2005) M.S. Ed. Mathematics, College at Cortland, SUNY (2003) B.A. Mathematics, College at Geneseo, SUNY (1997) Research Interests: Combinatorial descriptions of commutative algebra objects Poset resolutions and their applications Algebraic topology in discrete mathematics Publications: 6 key articles listed, emphasizing poset-based resolutions and interdisciplinary applications. Consulting: Collaborations with Lecky Integration (machine vision) and US Lacrosse (scheduling). Clark organizes mathematics competitions at Loyola and contributes to educational outreach through placement assessments and support programs for undergraduates.

• Civil Engineering
• Geodesy
• Geospatial Analysis
• +3 more

Ireneusz Andrzej Winnicki serves as a full Professor at the Faculty of Civil Engineering and Geodesy, Military University of Technology (Warsaw, Poland), with contact details including email ireneusz.winnicki@wat.edu.pl and phone +48 26 183 98 27. His research integrates civil engineering and geodesy through advanced geospatial methodologies, specializing in satellite remote sensing applications for urban infrastructure development and military meteorological support. Key investigations include submeter satellite imagery analysis for aerial photo scenes, reinforced concrete threshold systems for Warsaw city streets, geometric/topological modeling of geographic objects, and non-hydrostatic mesoscale models for aviation operations. Professor Winnicki has led significant projects such as: Analysis of submeter satellite imagery usability (DigitalGlobe constellations) for professional aerial photo scenes (2014) Design guidelines for prefabricated reinforced concrete thresholds in Warsaw streets (2014–2015) Geometry and topology description frameworks for geographic objects (2012–2013) Meteorological data integration for military aviation support using mesoscale models (2007–2010) His work demonstrates consistent application of geospatial innovation to civil engineering challenges with defense and urban planning relevance.

Mary DalrympleView profile

Professor

• Lexical Functional Grammar
• Glue Semantics
• Descriptive Syntax
• +4 more

Mary Dalrymple is a Professor Emerita of Syntax at the University of Oxford's Faculty of Linguistics, Philology & Phonetics. She previously held the position of Professor of Syntax (2006–2021) and University Lecturer in General Linguistics (2004–2006). Her research focuses on Lexical Functional Grammar (LFG), glue semantics, descriptive and theoretical syntax, and the documentation of Austronesian and Papuan languages. Her major grants and projects include: 2022–2024: Arts and Humanities Research Council-funded project on lexical resources for Enggano 2019–2024: AHRC project analyzing Enggano's linguistic history 2017–2018: SynSem project on integrating linguistics and computing at the Norwegian Academy of Sciences Notable awards include Fellowship of the British Academy (2013) and Erskine Fellowship (2004). Her work bridges formal syntax with computational linguistics and typological documentation, particularly in endangered languages. Her research consistently explores the interplay between formal linguistic theory and empirical data from understudied languages, with a focus on number systems, anaphora, and morphosyntactic variation.

• Set Theory
• Topology
• Topological Dynamics
• +3 more

Will Brian is an Associate Professor of Mathematics at the University of North Carolina Charlotte. His primary research interests lie in set theory, topology, and topological dynamics. He holds affiliations with the Department of Mathematics within the College of Liberal Arts and Sciences. His research explores advanced topics such as cardinal invariants, ultrafilters, and the interplay between set theory and topological spaces. Notable works include studies on Borel partitions, Mahavier products, and dynamics of Cantor spaces. Brian frequently collaborates with scholars like Alan Dow, Saharon Shelah, and Jörg Brendle, producing impactful papers in journals like Proceedings of the American Mathematical Society and Topology and its Applications . Recent research trends focus on partition calculus, topological games, and combinatorial principles in forcing. He has presented at international conferences including the Summer Topology Conference and TOPOSYM, showcasing work on Efimov spaces, Banach-Mazur games, and automorphisms of ultrafilter spaces. Brian’s contributions span over 40 peer-reviewed articles. Notable awards or grants are not explicitly stated in the provided materials. His advising record is currently unspecified, though his collaborations suggest active participation in graduate mentorship. He maintains an active seminar presence and frequently shares preprint versions of his work.

• Applied Algebraic Geometry
• Convex Geometry
• Combinatorics
• +3 more

Greg Blekherman is a Professor in the School of Mathematics at Georgia Tech. He is an associate director of the Algorithms, Combinatorics and Optimization (ACO) program and part of the NSF-Simons Southeast Center for Mathematical Biology. His research focuses on the interplay between convex and algebraic geometry, with applications to optimization and mathematical biology. Education: Ph.D., Mathematics, University of Michigan (2005) B.A., Mathematics, New York University (2000) Research Interests: Applied Algebraic Geometry and Convex Geometry Combinatorics (extremal, algebraic, probabilistic) Optimization (semidefinite programming, sums of squares) Mathematical Biology (robot locomotion, biomechanics) Recent Research Trends: His work bridges algebraic structures and geometric optimization, with recent focus on graph profiles, tropical geometry in extremal combinatorics, and convex hulls of algebraic varieties. Collaborations with robotics teams explore locomotion principles inspired by biological systems. Labs & Collaborations: Active in interdisciplinary projects with Dan Goldman's biology lab and robotics groups, applying geometric mechanics to optimize robot motion patterns.

Anna WancławView profile

Professor

• History of Architecture
• History of Education
• Descriptive Geometry
• +3 more

Dr. Anna Wancław is a Professor at the Department of Visual Arts, Faculty of Architecture, Gdańsk University of Technology. Her work focuses on the history of architecture, education systems, and descriptive geometry. She has contributed significantly to understanding the educational legacy of Polish technical institutions, particularly the Lviv School of Architects. Research Interests: Her research spans the history of architectural education, the evolution of descriptive geometry in Polish academia, and the intersection of historical techniques with modern geometric analysis. Notably, she has challenged assumptions about entasis curves in classical architecture, proving their non-elliptical nature. Publications: Her 2018 study traces Gdańsk Tech's continuity with Lviv's educational traditions. Earlier works (2013-2014) critically analyze entasis construction methods. The 2005 article examines 19th-century architectural pedagogy in Lviv, highlighting programmatic and organizational aspects. Awards/Grants: No specific awards or grants listed in the provided texts. Labs/Teams: No dedicated labs or teams explicitly mentioned, though her work likely intersects with historical studies groups within the Faculty of Architecture.

Barbara ChomickaView profile

Lecturer

• Architecture
• Descriptive Geometry
• Teaching Methods
• +3 more

mgr inż. arch. Barbara Chomicka is an Assistant Lecturer at the Department of Visual Arts at Gdańsk University of Technology. Her research focuses on architecture, descriptive geometry, teaching methods, and digital technology. She has contributed to academic discourse through publications like Transformations of descriptive geometry education for architecture students (2024), analyzing curriculum evolution in architectural education. While no awards or grants are explicitly listed, her work emphasizes historical and pedagogical aspects of technical education. She maintains an active teaching profile with 12 recorded entries, though specific details are not provided.

Lorenzo Sauras-AltuzarraView profile

Researcher

• Enumerative combinatorics
• Logic
• Extractive proof theory
• +6 more

Lorenzo Sauras-Altuzarra is a Researcher at the Research Unit of Computational Logic at Vienna University of Technology (Austria). His research focuses on enumerative combinatorics, logic, proof theory, recursion theory, number theory, and geometry of numbers. He has actively contributed to interdisciplinary work, merging logic with discrete geometry and algebra. PhD in Mathematics (2024): Vienna University of Technology MSc in Mathematics (2018): University of Vienna BSc in Mathematics (2015): University of Zaragoza His research interests include the calculation of integer sequences, irrationality/transcendence studies, and iteration processes. He explores applications of Baaz’s generalization method to number theory, particularly Fermat numbers, and their factorization properties. His work often bridges abstract logic with concrete number-theoretic problems. Recent publications span topics like factorial function arithmetic terms, lattice properties of complex matrices, and Fermat number factors. He has presented widely, including at the Conference on Techniques from Logic in Mathematics (Austria) and the 32èmes Journées Arithmétiques (France). He has organized events like the Conference on Techniques from Logic in Mathematics (2023, Austria) and contributed to over 15 academic events globally since 2016. His presentations address proof theory, Hilbert’s 10th problem, and geometric descriptions of number-theoretic structures.

Anastasia MolchanovaView profile

Research Fellow

• Analysis
• Functional Analysis
• Quasiconformal Analysis
• +6 more

Anastasia Molchanova is a Research Fellow at the Institute of Analysis and Scientific Computing, TU Wien, holding an Elise Richter fellowship (2023–2027). Her research focuses on nonlinear elasticity, calculus of variations, and PDEs, with applications in materials science and geometric analysis. She completed her PhD on quasiconformal analysis and has held positions at TU Wien, University of Vienna, and Novosibirsk State University. Key affiliations include the Austrian Association of Women in Mathematics (A²WiM). She has organized conferences such as the ESI Workshop on Variational and Geometrical Methods in Materials Science (2023) and co-organized the Second Austrian Day of Women in Mathematics (2022). Her teaching includes advanced courses on fractional Sobolev spaces and calculus of variations at TU Wien and University of Vienna. Research interests span functional analysis, geometric measure theory, and the analytical foundations of nonlinear elasticity. Her grants include an FWF Elise Richter grant (€404K), a REWIRE Marie Skłodowska-Curie Actions COFUND grant (€266K), and a FWF Lise Meitner grant (€159K). She has authored over 15 publications, focusing on Sobolev homeomorphisms, Lavrentiev phenomena, and variational formulations in materials science.

• Set Theory
• Mathematical Logic
• Measurable Combinatorics

Spencer Unger is an Assistant Professor in the Department of Mathematics at the University of Toronto. His research focuses on set theory and mathematical logic, with particular interest in combinatorial set theory and measurable combinatorics. He has contributed significantly to the study of tree properties, weak square principles, and singular cardinal arithmetic. Education : Not explicitly mentioned in the text. Research Interests : Spencer’s work explores foundational questions in set theory, including the tree property, approachability principles, and interactions between large cardinals and combinatorial structures. His research often bridges abstract logic with concrete applications in measure theory and geometric transformations. Grants : Partially supported by NSF grant DMS-1700425 from July 1, 2017, to June 30, 2021. Teaching : Offers graduate and undergraduate courses in set theory and logic, including specialized seminars at UCLA such as Math 223: Topics in Set Theory and Math 114S: Introduction to Set Theory. Collaborations : Frequently collaborates with researchers like Dima Sinapova, Andrew Marks, and Yair Hayut on advanced set-theoretic problems.

Nicholas WatierView profile

Professor

• Threat Perception
• Visual Psychophysics
• Face Perception
• +3 more

Dr. Nicholas Watier is a faculty member at Brandon University's Department of Psychology, specializing in experimental psychology with focuses on threat perception, visual psychophysics, and face perception. He holds a Ph.D. in Psychology from the University of Ottawa (2012) and a BA (Hons) in Psychology from Laurentian University (2006). His research explores visual cues underlying threat appraisals, using experimental and computational methods. He teaches courses such as Fundamentals of Psychological Research, Advanced Statistics, and Perception, emphasizing the conjectural nature of knowledge. Key research areas include threat perception in media and art (e.g., horror posters, metal album covers), face identification, and cognitive mechanisms. He has received a Canadian Psychological Association award and government grants. His work integrates visual artifacts and experimental paradigms to uncover how humans infer danger from visual stimuli. Teaching responsibilities span undergraduate and advanced courses, with a focus on fostering critical thinking and statistical literacy. Collaborations include studies on holistic face processing, directed forgetting, and mindfulness effects on cognition. His lab integrates psychophysical and computational approaches to address perceptual and cognitive questions. Phone: (204) 727-9731 Office: Room 1-09, John R. Brodie Science Centre

Leonidas GuibasView profile

Professor

• Computational Geometry
• Computer Graphics
• Robotics
• +6 more

Leonidas Guibas is the Paul Pigott Professor of Engineering and Professor (by courtesy) of Electrical Engineering at Stanford University's Department of Computer Science. He leads the Geometric Computation group and is affiliated with the Computer Graphics and Artificial Intelligence Laboratories. His research focuses on algorithms for sensing, modeling, and reasoning about the physical world, with expertise in computational geometry, robotics, sensor networks, and topological data analysis. Current work includes geometric modeling with point clouds, 3D reconstruction, and mobility data analysis. He holds prestigious awards including ACM Fellow (1999), Allen Newell Award (2008), and membership in the National Academy of Sciences (2022). Education: PhD, Stanford University (1976) MS & BS, California Institute of Technology (1971) Research Interests: Geometric and topological data analysis 3D reconstruction and 3D shape analysis Sensor networks and robotics Biological structure modeling Machine learning for geometric problems Recent Articles Focus: Recent work emphasizes neural radiance fields (NeRF), dynamic Gaussian splatting, and physically plausible 3D shape generation. Publications span advancements in symmetry detection, articulated object manipulation, and multi-view video generation. Awards & Honors: Fellow, ACM (1999) Allen Newell Award (2008) Fellow, IEEE (2011) Member, National Academy of Engineering (2017) Member, National Academy of Sciences (2022) Advising & Teams: Advises doctoral and master's students on topics like geometric computing and robotics. Leads interdisciplinary teams at Stanford's ICME, HAI, and Woods Institute. Current advisees include Ian Huang, Boxiao Pan, and Colton Stearns. Labs & Collaborations: Active in the Geometric Computation group and collaborates with the Stanford AI Lab. Works on projects funded by grants in robotics, computer vision, and computational biology.

Andreas CapView profile

Professor

• Differential Geometry
• Parabolic Geometries
• BGG Sequences
• +3 more

Andreas Cap is a Professor at the Faculty of Mathematics of the University of Vienna , with a research focus on Analysis, Geometric Structures, and Mathematical Physics . He serves as Vice-Speaker of the Vienna School of Mathematics , director of its University of Vienna branch, and DSPL (Doctoral Study Program Director) for the mathematics doctoral program. Research : His work centers on parabolic geometries , BGG sequences , and their applications to differential geometry, conformal/projective geometry, and mathematical physics. He leads the FWF-funded project Applications of parabolic geometries and BGG Sequences and contributes to COST Action CaLISTA. Publications : Recent articles explore topics like projective compactification , conformal holonomy , and Weyl structures , with a focus on invariant operators and geometric PDEs. Scientific service : Editor for journals including European Journal of Mathematics , Differential Geometry and Its Applications , and Monatshefte für Mathematik . Conferences : He has organized multiple workshops and conferences, such as the 2012 ESI program on geometry for higher spin gravity and the 2016 Brno DGA conference session. Contact : Office hours in fall 2023/24 are Wednesdays 10:00–11:00. Reach him at Andreas.Cap@univie.ac.at .

Ekaterina FokinaView profile

Associate Professor

• Computable Structure Theory
• Computable Model Theory
• Equivalence Relations
• +8 more

Ekaterina Fokina is an associate professor at the Institute of Discrete Mathematics and Geometry, Vienna University of Technology. Her research focuses on computable model theory, equivalence relations, and algorithmic properties of structures. Projects: Stand-alone Project P27527, Elise Richter Project V206, Stand-alone Project P23989, Lise Meitner Project M1188. Collaborators: V. Harizanov, D. Turetsky, N. Bazhenov, L. San Mauro, P. Semukhin, S. Goncharov, J. Knight, R. Miller. Her work investigates categoricity spectra, bi-embeddability, and the complexity of equivalence relations. Key contributions include solving the long-open Covering Problem for Martin-Löf randomness and analyzing the computational complexity of the Finite Intersection Principle. She has published in journals like Annals of Pure and Applied Logic , Archiv für Mathematische Logik und Grundlagenforschung , and Journal of Symbolic Logic . Articles supported by FWF grants explore computable categoricity, equivalence relation complexity, and parameterized complexity theory. Her recent work includes bi-embeddability spectra, degree spectra, and intrinsic complexity bounds. Scientific Awards: Elise Richter Fellowship (FWF V206) Lise Meitner Fellowship (FWF M1188) She has contributed to understanding algorithmic randomness, effective versions of the Axiom of Choice, and hyperarithmetic isomorphism complexity.