Talks

Invited talks, conference presentations, and workshop sessions, most recent first. Papers are on the full bibliography; this page is the speaking record.

  1. Fairbanks, J. P. (2026). Compositional Modeling: Structures, Dynamics, Optimization. American Control Conference, New Orleans, LA.
  2. Fairbanks, J. P. (2026). Panel on Applied Category Theory for Compositional Decision Making. American Control Conference, New Orleans, LA.
  3. Rauta, G., Fairbanks, J. P., & Kuzendorf, W. (2026). Low-Mach Compressible Navier-Stokes Using Discrete Exterior Calculus on Rectilinear Grids. WCCM-ECCOMAS [accepted], Munich, Germany.
  4. Cohen, S., & Fairbanks, J. P. (2026). Federated Learning with Cellular Sheaves. UF Undergraduate Research Symposium, Gainesville, FL.
  5. Hanks, T., Reiss, H., Cohen, S., Gross, T., Hale, M., & Fairbanks, J. P. (2026). Distributed Multi-Agent Coordination over Cellular Sheaves. AMS Special Session on Applied Category Theory Joint Mathematics Meeting, Washington DC.
  6. Gross, T., & Fairbanks, J. P. (2026). Quadrotor Coordination Using Cellular Sheaves and Linearized LQR. Center for Undergraduate Research Spring Symposium, Gainesville, FL, USA.
  7. Bou Barcelo, J., & Fairbanks, J. P. (2026). Heterogeneous Multi-Agent Multi-Target Tracking. INFORMS Optimization Society Conference, Atlanta, GA.
  8. Hanks, T., Klawonn, M., Patterson, E., Hale, M., & Fairbanks, J. P. (2026). Categorical Foundations of Distributed Optimization and Learning. AMS Special Session on Mathematical Foundation of Machine Learning, Joint Mathematics Meeting, Washington DC.
  9. Hanks, T., & Fairbanks, J. P. (2026). Coordination Sheaves. Core Lab Georgia Tech, Atlanta.
  10. Fairbanks, J. P., & Zare, A. (2025). Domain Transfer for Continuity of Performance Across SAS Systems ​. ONR Code 32 Program Review, Online.
  11. Fairbanks, J. P., & Leal, W. (2025). Sheaves in Time Varying Data and Dynamical Systems. NCR Lab UF MAE Department, Gainesville, FL.
  12. Leal, W., & Fairbanks, J. P. (2025). Sheaves in Dynamical Systems: Enumerating Fixed Points of CTLNs. Kallies Research Group, Toledo, OH.
  13. Fairbanks, J. P. (2025). Building Modeling and Simulation Tools on Discrete Exterior Calculus Foundations. IMSI workshop on Discrete Exterior Calculus Differential Geometry and Applications, Chicago, Ill.
  14. Fairbanks, J. P., & Leal, W. (2025). Computing Fixed Points of CTLNs with Separated Presheaves, Sheaves and Dynamic Programming. Category Theory Octoberfest 2025, Online.
  15. Wall, A., & Fairbanks, J. P. (2025). A Category-Theoretic Approach to Resource Optimization. University Mathematics Society, Gainesville, FL.
  16. Fairbanks, J. P., & Leal, W. (2025). Sheaf Cohomology on Simplicial Complexes. CODAC COE, Gainesville, FL.
  17. Leal, W. (2025). Temporal Analysis of Data Using Category Theory and the Hidden Connection Between Persistence and Accumulation. Seminario de Matemáticas Aplicadas, Quantil, Colombia.
  18. Fairbanks, J. P. (2025). Going beyond graphs: simplicial, hyper, and relational structure. JuliaCon, Pittsburgh.
  19. Fairbanks, J. P. (2025). New Approaches in Computational Physics: Multiphysics and Multiscale with Discrete Exterior Calculus. Army Research Lab, Adelphi, MD.
  20. Fairbanks, J. P. (2025). Introduction to Applied Category Theory for Compositional Decision Making. ACC Conference Workshop, Denver, CO.
  21. Fairbanks, J. P. (2025). Scientific Modeling with Categories [Workshop]. American Control Conference, Denver, CO.
  22. Fairbanks, J. P. (2025). Applied Category Theory for Dynamics and Control [Workshop]. American Control Conference, Denver, CO.
  23. Fairbanks, J. P. (2025). Compositional Modeling in Applied Category Theory for Compositional Decision Making. ACC Conference Workshop, Denver, CO.
  24. Rauta, G., & Fairbanks, J. P. (2025). Modeling of Coupled Weakly Compressible Navier-Stokes and Thermal Equation in the Discrete Exterior Calculus. Army Research Lab Poster Session, Adelphi, MD.
  25. Fairbanks, J. (2025). Modeling with ACT for Compositional Decision Making [Talk]. American Control Conference, Denver, CO.
  26. Fairbanks, J., & Patterson, E. (2025). Compositional Development of Compositional Mathematics [Talk]. Applied Category Theory, Gainesville, FL.
  27. Hanks, T., & Fairbanks, J. P. (2025). Category Theory for Distributed Optimization. Applied Category Theory [keynote], Gainesville, FL.
  28. Zelko, J., Cuffaro, M., Wu, S., & Fairbanks, J. P. (2025). A Case Study in Public Health Research. Applied Category Theory, Gainesville, FL.
  29. Fairbanks, J. P., & Patterson, E. (2025). AlgebraicJulia Compositional Development of Compositional Mathematics. Applied Category Theory, Gainesville, FL.
  30. Fairbanks, J. P. (2025). Multiagent Control with Cellular Sheaves [Talk]. Atlanta, GA.
  31. Hanks, T., & Fairbanks, J. P. (2025). Multiagent Autonomy with Cellular Sheaves. GTRI ACAI, Atlanta, GA.
  32. Wall, A., & Fairbanks, J. P. (2025). Structured Decompositions. Undergraduate Mathematics Research Symposium, Gainesville, FL.
  33. Carlson, K. (2025). Multigrid Methods for Structure Preserving Discretizations [Talk]. 22ND Copper Mountain Conference on Multigrid Methods, Copper Mountain, CO.
  34. Fairbanks, J. P., & Kim, N. (2025). T6: Validation, Uncertainty Quantification, Uncertainty Budget, Workflow and Data Management. CM3C: Center for Multiscale Modeling of Multiphase Combustion, Gainesville, FL.
  35. Hanks, T., Klawonn, M., Hale, M., Patterson, E., & Fairbanks, J. P. (2024). A compositional framework for first-order optimization.
  36. Fairbanks, J. P. (2024). A compositional account of motifs, mechanisms, and dynamics in biochemical regulatory networks. AMS Southeastern Sectional Meeting, Tallahassee, FL.
  37. Morris, L., & Nathan, E. (2023). Discourse Sheaves for Opinion Dynamics over Social Media Data. Lawrence Livermore National Laboratory Summer SLAM, Livermore, CA.
  38. Libkind, S., Bumpus, B. M., Garcia, J. L., Sorkatti, L. H., & Tenka, S. (2023). Additive Invariants of Open Petri Nets. Applied Category Theory, College Park, MD.
  39. Lynch, O., Brown, K., Fairbanks, J. P., & Patterson, E. (2023). Gatlab. jl: Symbolic computing with categories using generalized algebraic theories. Applied Category Theory, College Park, MD.
  40. Bumpus, B. M., Fairbanks, J. P., Rosiak, D., & Althaus, E. (2023). Compositional Algorithms on Compositional Data: Deciding Sheaves on Presheaves. Applied Category Theory, College Park, MD.
  41. Fairbanks, J. P., Hanks, T. E., She, B., Patterson, E., Hale, M., & Klawonn, M. (2023). A Compositional Framework for Convex Model Predictive Control. Applied Category Theory, College Park, MD.
  42. Fairbanks, J. P., Morris, L. L., & Rauta, G. (2023). Computational Multiphysics in a Categorical Framework. Applied Category Theory, College Park, MD.
  43. Fairbanks, J. P., Hanks, T., She, B., Hale, M., Patterson, E., & Klawonn, M. (2023). A Compositional Framework for Model Predictive Control. AFOSR Center of Excellence Program Review, Gainesville, FL.
  44. Fairbanks, J. P. (2023). Decapodes. jl: A Framework for Multiphysics Simulation. MAE Department AFOSR Visit, Gainesville, FL.
  45. Fairbanks, J. P. (2023). Decapodes.jl: a framework for multiphysics simulation.
  46. Morris, L. L., Baas, A., Fairbanks, J. P., Arias, J., & Gaitlin, M. (2023). Abstraction and Composition in Modeling and Simulation. SIAM Conference on Computational Science and Engineering, Amsterdam, NL.
  47. Fairbanks, J. P., Morris, L. L., & Rauta, G. (2023). Categorical Composition of Discrete Exterior Calculus Climate Models. Programming for the Planet (PROPL) at POPL, London, UK.
  48. Bumpus, B. M. (2023). Chopping things up to decide stuff fast. International seminar series on applications of category theory to finite model theory and computer science, Nottingham, United Kingdom.
  49. Fairbanks, J. P. (2022). Scientific and Engineering Modeling with Applied Category Theory. DARPA Young Faculty Colloquium, Arlington, VA.
  50. Fairbanks, J. P., & Patterson, E. (2022). Enkix Task Reasoning. DARPA Site Visit, Gainesville, FL.
  51. Fairbanks, J. P. (2022). Computational Physics Modeling with Categories. Institute of Theoretical Physics, Friedric-Alexander-Universitaet, Erlangen-Nuernberg, Germany.
  52. Fairbanks, J. P. (2022). Computational physics with categories.
  53. Libkind, S., & Fairbanks, J. P. (2022). Compositional Modeling of Disease Dynamics. UW-IHME Compositional Epidemiology Modeling Working Group, Online.
  54. Fairbanks, J. P. (2022). Using Category Theory to Design Computational Mathematics Software. Numerical Analysis Seminar at UF Mathematics Department, Gainesville, FL.
  55. Fairbanks, J. P. (2022). Applied Category Theory for the Mathematics of Disease. Canadian Network for Modeling Infectious Disease, Vancouver, Canada.
  56. Hanks, T. (2022). Compositional Convex Optimization. Air Force Research Laboratory, Rome, NY.
  57. Libkind, S., Baas, A., Halter, M., Patterson, E., & Fairbanks, J. (2022). Typed and stratified models with slice categories. In Applied Category Theory (pp. 1-3). https://msp.cis.strath.ac.uk/act2022/papers/ACT2022_paper_3530.pdf
  58. Patterson, E., Hosgood, T., Baas, A., & Fairbanks, J. (2022). Diagrammatic differential equations: Formal categorical framework and applications to multiphysics simulation. Applied Category Theory, Glasgow, UK. https://doi.org/10.3934/mine.2023036
  59. Fairbanks, J. P. (2022). Model Aware Scientific Computing with Categories. Air Force Research Laboratory, Rome, NY.
  60. Fairbanks, J. P. (2022). Diagrammatic Equations for Complex Machine Learning Formulations. ONR Code 32 Site Visit, Gainesville, FL.
  61. Fairbanks, J. P. (2022). Introduction to Category Theory. The Simula Corporation, Oslo, NO.
  62. Fairbanks, J. P. (2022). Diagrammatic Equations In Physics, Directly Computable Models. The Simula Corporation, Oslo, NO.
  63. Fairbanks, J. P. (2022). Computational Modeling with Category Theory. Systems Medicine Laboratory Seminar UF College of Medicine, Gainesville, FL.
  64. Fairbanks, J. P. (2022). Diagrammatic equations in numerical multiphysics.
  65. Fairbanks, J. P. (2022). Introduction to applied category theory.
  66. Fairbanks, J. P. (2022). Scientific Modeling with AlgebraicJulia. Rel.AI Research Seminar, Online.
  67. Fairbanks, J. P., & Lynch, O. (2022). Computational Category Theory in Applied Mathematics. Joint Mathematics Meetings, Boston, MA.
  68. Fairbanks, J. P., Aduddell, R., Ocal, P. S., Patterson, E., Shapiro, B., & Kumar, A. (2022). A Categorical Framework for (Gene) Regulatory Networks. Joint Mathematics Meeting, Boston, MA.
  69. Bumpus, B. M., & Fairbanks, J. P. (2022). Structured Decompositions: Recursive Data and Recursive Algorithms. Joint Math Meeting, Boston, MA.
  70. Brown, K., & Fairbanks, J. P. (2022). Automated Model Space Exploration. UW-IHME Compositional Epidemiology Modeling Working Group, Online.
  71. Wu, S. L., Libkind, S., Brown, K., Patterson, E., & Fairbanks, J. (2022). Individual. jl: Rewriting individual-based models for epidemiology using graph rewriting [Extended abstract]. Applied Category Theory, Glasgow, UK. https://msp.cis.strath.ac.uk/act2022/papers/ACT2022_paper_3642.pdf
  72. Fairbanks, J. P., Perez, J., Baas, A., Ferrall-Fairbanks, M., & Platt, M. O. (2021). Parameter Estimation by Minimizing the Loss with Respect to a Finite Difference Approximation on the Vector Field. Biomedical Engineering Society Annual Meeting, Orlando, FL.
  73. Jackson, M., Halter, M., Goodyear, T., O’Donnell, B., & Fairbanks, J. (2021). Accelerating automatic target recognition performance evaluation with a relational database. Tri-Service Radar Symposium.
  74. Lynch, O., Patterson, E., & Fairbanks, J. P. (2021). Shaped Data with ACSets. JuliaCon, Online.
  75. Fairbanks, J. P., & Patterson, E. (2021). Compositional Modeling with AlgebraicJulia. NIH Interagency Modeling and Analysis Group, Online.
  76. Libkind, S., & Fairbanks, J. (2021). AlgebraicDynamics: Compositional dynamical systems. JuliaCon, Virtual. https://pretalx.com/juliacon2021/talk/ARURL8/
  77. Fairbanks, J. P. (2021). The AlgebraicJulia Ecosystem: a Categorical Approach to Technical Computing. Topos Institute Berkeley Seminar, Berkeley, CA.
  78. Fairbanks, J. P. (2021). Computational Categorical Algebra with Catlab. Graph Transformation Theory and Applications, Paris, FR.
  79. Fairbanks, J. P. (2021). Progress towards the GroMet specification for semantic model exchange. DARPA Automating Scientific Knowledge Extraction Principal Investigator Meeting, Arlington, VA.
  80. Fairbanks, J. P. (2021). Generalized Algebraic Theories for Enhancing Multiphysics: An Introductory Deep Dive. DARPA Directly Computable Models Program Review, Arlington, VA.
  81. Fairbanks, J. P. (2021). Categorical Scientific Knowledge Representation. DARPA Automating Scientific Knowledge Extraction Stakeholder Workshop, Arlington, VA.
  82. Fairbanks, J. P. (2021). Model Aware Computing with Scientific Categories. DARPA Young Investigator Award Principal Investigator Meeting, Arlington, VA.
  83. Fairbanks, J. P. (2021). Introduction to the AlgebraicJulia Software Ecosystem. UF CISE - LLNL Advisory Board Annual Meeting, Gainesville, FL.
  84. Fairbanks, J. P. (2021). Rethinking set theory and applications.
  85. Halter, M., Patterson, E., Baas, A., & Fairbanks, J. (2020). Compositional Scientific Computing with Catlab and SemanticModels. In Applied Category Theory. http://arxiv.org/abs/2005.04831
  86. Fairbanks, J. P. (2020). Rethinking Set Theory and Computational Mathematics. Undergraduate Math Society, Gainesville, FL.
  87. Fairbanks, J. P. (2020). Automating model fusion with decorated cospan categories.
  88. Halter, M., Raparti, S., Cao, K., Herlihy, C., & Fairbanks, J. (2020). SemanticModels. jl: a julia package for scientific model augmentation. In Proceedings of the JuliaCon conferences (pp. 57).
  89. Herlihy, C., & Fairbanks, J. (2019). semanticmodels.jl: Not just another modeling framework. JuliaCon, Baltimore, MD. https://www.youtube.com/watch?v=WJneK7OjqMQ
  90. Fairbanks, J. P., Davis, E., & Morrison, C. (2019). Model IR working group: Initial progress.
  91. Fairbanks, J. P. (2019). Program analysis for scientific model augmentation.
  92. Herlihy, C., Cao, K., Reparti, S., Briscoe, E., & Fairbanks, J. (2019). Semantic Program Analysis for Scientific Model Augmentation. Modeling the World’s Systems, 7.
  93. Fairbanks, J. P. (2018). Data science and graph analytics with julia.
  94. Fairbanks, J. (2018). The JuliaGraphs ecosystem: Move fast and don't break things. JuliaCon, London, UK. https://youtu.be/OZuQoxTPoyM
  95. Besançon, M., & Fairbanks, J. (2018). Graph interfaces: Bespoke graphs for every occasion. JuliaCon, London, UK. https://youtu.be/OD-BSn4FZ2A
  96. Fairbanks, J. P. (2018). Solving applied graph theory problems in the JuliaGraphs ecosystem.
  97. Bromberger, S., & Fairbanks, J. (2017). LightGraphs: Our network, our story. JuliaCon, Berkeley, CA. https://youtu.be/MFD-qmApXl8
  98. Frederick, T., Herlihy, C., & Fairbanks, J. (2017). Using big data to predict and analyze cooperation and conflict. The Conflict Conference, University of Texas, Austin, TX.
  99. Fairbanks, J., Knauf, N., Fitch, N., Herlihy, C., & Briscoe, E. (2017). Assessing credibility in the global news media. http://resources.basistech.com.s3.amazonaws.com/hltcon-presentations/2017/Fairbanks_Georgia_Tech_HLTCon.pdf
  100. Bader, D., Michalewicz, A., Green, O., Birkett-Rees, J., Riedy, J., Fairbanks, J., & Zakrzewska, A. (2016). Semantic database applications at the samtavro cemetery, georgia. In The 44th Computer Applications and Quantitative Methods in Archaeology Conference (CAA). Archaeopress. https://2016.caaconference.org/session-11-supporting-researchers-in-the-use-and-re-use-of-archaeological-data-continuing-the-ariadne-thread/