Find Academic Supervisors

• Architectural Drawing
• History of Architecture
• Theory of Architecture
• +3 more

Victor Agran is a Lecturer at Yale University's School of Architecture, where he has taught drawing courses for over 25 years while maintaining an active professional architecture practice as Principal of ARC in Boston. His career includes senior design roles at Kevin Daly Architects, Selldorf Architects, and Pelli Clarke Pelli Architects, notably contributing to the Salesforce Transit Center in San Francisco. His educational background includes: BA from University of California, Berkeley MArch from Yale University Agran specializes in the historical and theoretical evolution of architectural drawing, with deep expertise in 1960s/70s radical visionary architecture. His pedagogy examines the interplay between drawing production and conceptual objectives through rigorous constructed drawings, orthographic projection, and perspective systems. Courses incorporate direct study of original works at Yale Art Gallery, Yale Center for British Art, and Manuscripts & Archives to contextualize spatial inquiry within architectural history. He has continuously taught 'Drawing and Architectural Form' (course 1211) every Fall semester from 2015 through the upcoming 2025 term, and participated in 'Independent Course Work' (course 4299) in Spring 2017. While specific student names aren't documented, his quarter-century teaching tenure implies extensive student mentorship across hundreds of architecture students. Professionally, Agran leads design initiatives at ARC Boston, applying his scholarly focus on drawing practices to contemporary architectural challenges. His dual academic-practitioner role bridges theoretical research with real-world implementation in major projects like the San Francisco transit hub.

• Statistics Education
• Mathematics Education
• Eye Tracking
• +3 more

Lonneke Boels is a PhD candidate at Utrecht University's Freudenthal Institute, specializing in Mathematics Education and Statistics Education . While primarily affiliated with the Faculty of Science, she teaches mathematics at the Christelijk Lyceum Delft secondary school. Her research focuses on improving statistical literacy through graphical interpretation, particularly histograms, using eye-tracking methodology as part of the Dynamics of Youth research theme. Education : MSc in Mathematics (Educational focus) Methodology : Eye-tracking analysis, didactic design Key Publications : 2021: Polygon learning with gamified software 2019: Teacher strategies with histograms 2018: Machine learning analysis of student gaze patterns Scientific Recognition : Awarded a prestigious NWO doctoral grant for teachers in 2016. Active in academic discourse through invited presentations at ICOTS, PME, and CERME conferences. 2021: International Congress on Mathematical Education 2020: EARLI SIG 27 conference 2019: PME and CERME conferences 2018: ICOTS10 keynote Professional Contributions : Regular contributor to Euclides journal since 2011, covering digital math games, educational websites, and practical didactic problems in secondary school mathematics.

Željko IvandićView profile

Professor

• Mechanical Engineering
• Structural Engineering
• Computer-Aided Design (CAD)
• +9 more

Željko Ivandić is a Full Professor at the Faculty of Mechanical Engineering in Slavonski Brod, University of Slavonski Brod, with a career spanning over three decades. His work integrates Mechanical Engineering , Structural Analysis , and Biomechanics , focusing on CAD, tribology, and sustainable design. Doctor of Technical Sciences, University of Zagreb (2002) Master of Science, University of Zagreb (1996) Graduate in Mechanical Engineering, Faculty of Mechanical Engineering in Slavonski Brod (1990) His research emphasizes product development , 3D printing , and environmental protection . Recent work includes biomechanical testing devices and LCA-based environmental assessments. Articles highlight interdisciplinary approaches to structural integrity , robotics , and industrial design . Projects like the Croatian-Slovenian fracture mechanics collaboration and EU-funded ME4CataLOgue underscore his expertise in applied engineering. He mentors through CroRIS and contributes to professional societies, including The Design Society.

Thierry CiblacView profile

Professor

• Architectural Science
• Computer-Aided Design (CAD)
• Structural Engineering
• +6 more

Thierry Ciblac is a Professor at Université PSL, affiliated with the Transitions department under the disciplinary fields of Science and Technology for Architecture (STA) and Mathematical and Computer Tools. He serves as a co-director and researcher at the GSA laboratory, and is linked to the MAP-Maacc laboratory. Doctorate in civil engineering State Public Works Engineer His teaching focuses on: Projection geometry (descriptive geometry, axonometry, perspective) Structural morphology (graphic statics, structural form research) Computer modeling (parametric models, 3D reconstruction, photogrammetry) Research spans: Computer-assisted architectural design (parametric modeling, early evaluation) Historical structural calculation methods Technical evaluation of masonry heritage (limit analysis, failure calculation) His work integrates mathematical and computational tools with architectural design and heritage preservation, emphasizing parametric modeling, structural analysis, and historical reconstruction. Contact details: 14 rue Bonaparte (and annex at 1 rue Jacques Callot), 75006 Paris

Johannes T. MargrafView profile

Professor

• Machine Learning in Chemistry
• Electronic Structure Theory
• Density Functional Theory
• +3 more

Prof. Johannes T. Margraf is a Professor and Chair of Physical Chemistry V: Theory and Machine Learning at the University of Bayreuth. His research group specializes in applying machine learning to chemical phenomena, including predicting properties of molecules and materials, understanding complex reaction networks, and developing data-efficient models that incorporate physical principles like size-extensivity and accurate descriptions of long-range interactions. The group also focuses on electronic structure theory, particularly bridging wavefunction and density functional methods. Margraf's research interests center on machine learning applications in chemistry and materials science, including non-local machine learning-based density functional theory, chemical reaction network analysis, and the development of physics-informed ML models. His work aims to achieve accurate chemical simulations at unprecedented scales for materials discovery and optimization. Analysis of recent publications shows a strong focus on machine learning potentials for materials simulation, density functional theory advancements, catalytic reaction networks, and computational spectroscopy. His research consistently integrates machine learning with fundamental physics principles to solve challenging problems in computational chemistry and materials science. Margraf leads a research team including postdoctoral researchers (Dr. Maciej Baradyn, Dr. Hyunwook Jung, Dr. Karlo Sovi´c) and PhD students (Nils Gönnheimer, David Greten, Konstantin Jakob, Sachin Rangaswamy, Robert Strothmann, Martin Vondrák). The group actively organizes scientific workshops and collaborates with institutions like the Fritz Haber Institute in Berlin.

Petra SurynkováView profile

Assistant Professor

• computational geometry
• descriptive geometry
• computer graphics
• +7 more

Petra Surynková is an Assistant Professor at the Department of Mathematics Education, Faculty of Mathematics and Physics, Charles University in Prague. She holds a Ph.D. in mathematics and specializes in computational geometry, descriptive geometry, and mathematics education. Her educational background includes a Doctoral degree (Ph.D.) from Charles University (2008-2014), a Master's degree (2006-2008), and a Bachelor's degree (2003-2006), all from Charles University's Faculty of Mathematics and Physics. She also completed her grammar school education in Vlašim. Dr. Surynková's research focuses on computational geometry, descriptive geometry, and computer graphics, with special interests in curves and surfaces in computer graphics, surface reconstruction from point clouds, and mathematical software applications in teaching. She has developed extensive expertise in geometric modeling software including Rhinoceros, AutoCAD, and GeoGebra. Her professional activities include significant conference participation across Europe and North America, with presentations at events such as the International Conference on Technology in Mathematics Teaching and the GeoGebra Global Gathering. She has organized numerous workshops for high school teachers on dynamic geometry applications. Fulbright Scholar at Florida Atlantic University (2017-2018) Postdoctoral Research Assistant in the EXAMPLE project at Johannes Kepler University (2015-2016) Chair of The GeoGebra Institute of Prague (2015-present) As an educator, she supervises bachelor's and diploma theses on descriptive, computational and applied geometry topics, and has created numerous teaching materials for geometry education. She teaches courses on descriptive geometry, computational geometry, and surfaces of constructions at Charles University.

Qiang WenView profile

Associate Professor

• Quantum Gravity
• Holographic Principle
• String Theory
• +5 more

Qiang Wen is an Associate Professor at the Yau Center and School of Physics, Southeast University , and previously at the Yau Center and School of Mathematics, Southeast University. He holds a Doctoral degree in Physics from Renmin University of China and a Bachelor's degree from Wuhan University. Research Interests : Quantum Gravity via Holographic Principle Entanglement Entropy and Geometry Balanced Partial Entanglement Island Formula in Holography Scientific Awards : ICCM Best Paper Award - Ruo Lin Award (2017) Tsinghua University Outstanding Postdoctor (2017) National Scholarship for Doctoral Students (2014) First Prize in Chinese University Physics Academic Competition (2010) Southeast University Zhi Shan Youth Scholar A-Class (2020) Education : Doctoral Degree, Department of Physics, Renmin University of China (2010-2015) Bachelor's Degree, School of Physics, Wuhan University (2006-2010)

Martin GieseView profile

Professor

• Applied Logics
• Formal Methods
• Semantic Web/Semantic Technologies
• +9 more

Martin Giese is a Professor at the Department of Informatics (IFI), University of Oslo , specializing in applied logics , formal methods , and semantic technologies . He is affiliated with the Data and Knowledge Systems (DKM) research group and has held postdoctoral positions at RICAM, RISC, and Chalmers University of Technology. PhD and Diploma in Computer Science from Universität Karlsruhe (2002/1998) Secretary of the Association of Automated Reasoning and CADE Inc. (2010–2018) Steering Committee member of Tableaux (2009–2017), Vice President (2013–2017) His research focuses on semantic web technologies , ontology-based data access (OBDA) , and industrial applications of formal methods. Key contributions include the development of OptiqueVQS (visual query system for big data) and GeoFault (ontology for geological modeling). Recent publications address SPARQL optimization with SHACL , digital twins , and geological process simulation . Scientific collaborations span institutions like Statoil , Siemens , and ACM/IEEE conferences. His work bridges theoretical logic with practical industrial data challenges , emphasizing user-centric semantic systems and scalable solutions for cross-linked datasets.

Guodong GuoView profile

Assistant Professor

• Mechanics of materials
• Multiscale simulation
• Structural health monitoring

Guo Guodong serves as an Instructional Assistant Professor in Multidisciplinary Engineering at Texas A&M University-Kingsville, with his office located in HECM 316.2. He can be contacted via email at guodong.guo@tamu.edu or phone at 956-271-1323, reflecting his active role in the Department of Mechanical and Industrial Engineering. His academic credentials include a Ph.D. from North Carolina State University (2019), an M.S. from Northwestern Polytechnical University, and a B.S. from Lanzhou University of Technology, establishing a strong foundation in mechanical engineering disciplines. Dr. Guo's research program integrates mechanics of materials, multiscale simulation, and structural health monitoring, with particular emphasis on deformation mechanisms in composite armor systems, sensor development for structural integrity assessment, and biomimetic robotics. His experimental and computational approaches address critical challenges in material failure prediction and adaptive sensing technologies. Analysis of his publication record reveals a consistent trajectory in protective materials science, with over half of his recent works focusing on ballistic impact resistance of ceramic-composite armor systems. Simultaneously, he maintains parallel research streams in fiber optic sensor networks for fabric deformation monitoring and pneumatically actuated soft robotics, demonstrating significant interdisciplinary breadth. No scientific awards or honors are documented in the available information. Similarly, there is no indication of graduate student mentorship or externally funded research grants within the provided context, suggesting these aspects may not be central to his current instructional role. The absence of laboratory descriptions or team affiliations indicates his research is likely conducted through collaborative partnerships, as evidenced by co-authorship with researchers like Shah Alam, Larry Peel, and Mark Pankow across multiple institutions.

• Analytic number theory
• Lattice-point problems
• Discrete geometry
• +3 more

Gerald Kuba is ao. Univ. Prof. (Associate Professor) at the University of Natural Resources and Life Sciences, Vienna (BOKU) , Institute of Mathematics, Gregor-Mendel-Straße 33, 1180 Wien. His research centres on analytic number theory, lattice-point problems, enumeration of discrete structures such as metric spaces, topologies, and Hamel bases, and set-theoretic real analysis. He has been involved in three Austrian Science Fund (FWF) projects led by Werner Georg Nowak, serving as sub-project leader or scientific staff between 1998 and 2012, all devoted to lattice points and analytic number theory. Since then he has continued an active solo publication record with over 80 refereed articles. Research interests Analytic number theory & lattice-point asymptotics Enumerative combinatorics of metric, ultrametric and ordered spaces Set-theoretic real analysis – decompositions of ℝ, Cantor sets, saltus functions Functional equations and didactics of mathematics Recent publications (2025-2021) explore connected Hamel bases in Hilbert spaces, functional equations of Cauchy type, Cantor sets as fields, and counting discrete structures, illustrating a persistent focus on combining classical analysis with enumerative problems. Presentations & outreach Invited talk “On the differentiability of certain saltus functions” , Mathematics Colloquium, University of Vienna, 2009 No doctoral students or supervised theses are recorded in the BOKU database under his name; no personal grants after 2012 are shown. He remains affiliated with the Institute of Mathematics and continues to publish actively, hence is regarded as an active faculty member.

Guillem Domènech FuertesView profile

Researcher

• Theoretical Physics
• Quantum Field Theory
• Cosmology
• +2 more

Dr. Guillem Domènech Fuertes is a Group Leader at the Institute of Theoretical Physics within the Faculty of Mathematics and Physics at Leibniz University Hannover. His work focuses on theoretical physics, particularly in areas intersecting geometry and physics through his participation in the Riemann Center for Geometry and Physics. Email: guillem.domenech@itp.uni-hannover.de Phone: +49 511 762 3886 Address: Appelstraße 2, 30167 Hanover, Building 3701, Room 227 His research aligns with the institute's mission to explore foundational questions in theoretical physics, though specific subfields (e.g., quantum gravity, cosmology) are inferred from his institutional affiliation rather than explicit textual descriptions.

Daniel HathawayView profile

Senior Lecturer

• Mathematics
• Logic
• Set Theory
• +3 more

Daniel Hathaway is a Senior Lecturer in the Department of Mathematics and Statistics at the University of Vermont (UVM). He holds a PhD in Mathematics from the University of Michigan (2015) and an MS/BS in Mathematics and Computer Science from Rensselaer Polytechnic Institute (2010). Prior to joining UVM in 2018, he was a Visiting Assistant Professor at the University of Denver (2015–2018). His research focuses on set theory, logic, and their applications, including topics like forcing, Ramsey theory, and descriptive set theory. Hathaway teaches courses ranging from foundational calculus to advanced topics such as real analysis and discrete structures. His educational background includes: PhD in Mathematics, University of Michigan, 2015 MS in Mathematics, Rensselaer Polytechnic Institute, 2010 BS in Mathematics and Computer Science, Rensselaer Polytechnic Institute, 2010 Research Interests: Daniel’s work explores foundational questions in set theory and mathematical logic, with a particular emphasis on forcing techniques, Ramsey-type theorems, and the structure of Borel equivalence relations. He has contributed to areas such as generalized Baire spaces, measurable cardinals, and combinatorial set theory. His teaching portfolio includes calculus, linear algebra, real analysis, and discrete mathematics. Publications: Hathaway has published widely in leading journals such as The Annals of Pure and Applied Logic , Journal of Symbolic Logic , and Topology and Its Applications , with a focus on advancing theoretical frameworks in set theory and logic. Advising and Grants: While no specific advising roles or grants are detailed in the provided text, his academic roles indicate involvement in undergraduate and graduate education at UVM. Labs/Teams: No specific lab affiliations or collaborative teams are mentioned in the text.

Jan EngelbrechtView profile

Professor

• Strongly correlated electron systems
• High-temperature superconductors
• Fermi Liquid theory
• +5 more

Jan Engelbrecht is a Professor of Physics at Boston College's Department of Physics. He holds a Ph.D. from the University of Illinois. His research focuses on strongly correlated electron systems, high-temperature superconductors, Fermi Liquid theory, and neural oscillator networks. Notable contributions include studies on the Ott-Antonsen manifold, Kuramoto oscillator networks, and phase transitions in driven neural models. Education: Ph.D., University of Illinois. Research Interests: Explores theoretical frameworks for strongly correlated systems, including superconductivity, non-Fermi liquid behavior, and quantum well phenomena. Recent work addresses synchronization dynamics in oscillator networks and hyperbolic geometry applications. His studies bridge condensed matter physics with nonlinear dynamics and neuroscience. Publications span topics from quantum many-body systems to neural network synchronization, reflecting interdisciplinary engagement. No scientific awards explicitly mentioned. Advising and grants sections remain unpopulated in available texts.

Ben SalisburyView profile

Professor

• Algebraic Combinatorics
• Representation Theory
• Crystal Bases
• +3 more

Ben Salisbury is a Professor of Mathematics and former Department Chair at Central Michigan University (CMU). He transitioned to industry as a Data Scientist at The Hartford. His academic career included postdoctoral roles at Brown University and The City College of New York, focusing on algebraic combinatorics and representation theory, particularly crystal bases. He holds a Ph.D. from the University of Connecticut (2012) under Kyu-Hwan Lee. Research Interests: Combinatorics of crystal bases Algebraic Combinatorics Representation Theory Key Contributions: Simons Foundation Collaboration Grant (2016–2021) Organized international conferences like FPSAC 2023 and SageDays workshops Transition to Industry: Leverages mathematical expertise in actuarial modeling and data science projects, including time series forecasting and machine learning (e.g., weather predictions, fruit classification).

Keith SniderView profile

Adjunct Professor

• African Linguistics
• Phonology
• Tone Analysis
• +3 more

Keith Snider is an Adjunct Professor of Linguistics at Trinity Western University and a Certified Senior Linguistics Consultant with SIL International. He holds a D.Litt. in African Linguistics from Leiden University (1990) and has extensive experience in field linguistics across Africa and beyond. His research focuses on tone analysis, phonology, and orthography development for African languages. Snider has taught at TWU and CanIL since 2000, leading courses such as Tone Analysis and Historical Linguistics. He has published over 55 works, including influential books like The Geometry and Features of Tone and Tone Analysis for Field Linguists . Education: D.Litt., African Linguistics, Leiden University, 1990 M.A., Linguistics, University of Texas at Arlington, 1980 B.Th., Canadian Bible College, Regina, 1978 Diploma, Millar Memorial Bible Institute, 1974 Research Interests: Phonology and tone analysis Orthography development for unwritten languages Historical and comparative linguistics African language documentation Key Awards: Phi Sigma Iota (International Foreign Language Honor Society) Advising & Grants: Snider has supervised numerous MA theses at CanIL and TWU. His consulting work includes grant review for SIL and the National Science Foundation. He is a Pike Centre Fellow and contributes to the ComparaLex software for comparative linguistics. Labs & Affiliations: Active in SIL International's global linguistics projects, CanIL's graduate programs, and the Pike Centre for Linguistic Analysis.