Publications
This list is the same data as the bibliography table, exported from Zotero and rendered in an APA-flavoured style.
Journal articles
- Morris, L., Baas, A., Arias, J., Gatlin, M., Patterson, E., & Fairbanks, J. P. (2024). Decapodes: A diagrammatic tool for representing, composing, and computing spatialized partial differential equations. Journal of Computational Science, 81, 102345. https://doi.org/10.1016/j.jocs.2024.102345
- Aduddell, R., Fairbanks, J., Kumar, A., Ocal, P. S., Patterson, E., & Shapiro, B. T. (2024). A compositional account of motifs, mechanisms, and dynamics in biochemical regulatory networks. Compositionality, 6, 2. https://doi.org/10.32408/compositionality-6-2
- Brown, K., Patterson, E., Hanks, T., & Fairbanks, J. (2023). Computational category-theoretic rewriting. Journal of Logical and Algebraic Methods in Programming, 134, 100888. https://doi.org/10.1016/j.jlamp.2023.100888
- Garrett, R. K., Fairbanks, J. P., Loper, M. L., & Moreland, J. D. (2023). The application of applied category theory to quantify mission success. Simulation, 99(2), 201–220. https://doi.org/10.1177/00375497221114861
- Patterson, E., Baas, A., Hosgood, T., & Fairbanks, J. (2023). A diagrammatic view of differential equations in physics. Mathematics in Engineering, 5(2), 1–59. https://doi.org/10.3934/mine.2023036
- Patterson, E., Lynch, O., & Fairbanks, J. (2022). Categorical Data Structures for Technical Computing. Compositionality, Volume 4 (2022). https://doi.org/10.32408/compositionality-4-5
- Libkind, S., Baas, A., Halter, M., Patterson, E., & Fairbanks, J. P. (2022). An algebraic framework for structured epidemic modelling. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380(2233), 20210309. https://doi.org/10.1098/rsta.2021.0309
- Mordecai, Y., Fairbanks, J. P., & Crawley, E. F. (2021). Category-theoretic formulation of the model-based systems architecting cognitive-computational cycle. Applied Sciences, 11(4), 1945.
- Briscoe, E., & Fairbanks, J. (2020). Artificial scientific intelligence and its impact on national security and foreign policy. Orbis, 64(4), 544–554.
- Fairbanks, J. P., Bader, D. A., & Sanders, G. D. (2017). Spectral partitioning with blends of eigenvectors. Journal of Complex Networks, 5(4), 551–580.
- Fairbanks, J. P., Kannan, R., Park, H., & Bader, D. A. (2015). Behavioral clusters in dynamic graphs. Parallel Computing, 47, 38–50.
- Fairbanks, J. (2011). A Ramsey theorem for indecomposable matchings. arXiv:1110.3314.
Conference proceedings
- Hanks, T., Nino, C., Barcelo, J. B., Copeland, A., Dixon, W., & Fairbanks, J. (2026). Heterogeneous Multi-agent multi-target tracking using cellular sheaves. In European Control Conference. IEEE. (to appear).
- Zhao, Y., Hanks, T., Riess, H., Cohen, S., Hale, M., & Fairbanks, J. (2026). Asynchronous nonlinear sheaf diffusion for multi-agent coordination. In IEEE American Control Conference. IEEE. (accepted).
- Currier, K., Leal, W., Rauta, G., Copeland, A., Dixon, W., & Fairbanks, J. (2026). Whitney Control Barrier Functions: A Mesh-based Geometric approach via Discrete Exterior Calculus. In IFAC. (in press).
- Hanks, T., Riess, H., Cohen, S., Gross, T., Hale, M., & Fairbanks, J. (2025). Distributed Multi-agent Coordination over Cellular Sheaves. In IEEE Conference on Decision and Control. IEEE. https://doi.org/10.48550/arXiv.2504.02049
- Lary, M., Samuelson, R., Wilentz, A., Zare, A., Klawonn, M., & Fairbanks, J. (2025). Learning diagrams: a graphical language for compositional training regimes. In The thirteenth international conference on learning representations. https://openreview.net/forum?id=dqyuCsBvn9
- Hanks, T., She, B., Hale, M., Patterson, E., Klawonn, M., & Fairbanks, J. (2024). Modeling Model Predictive Control: A Category Theoretic Framework for Multistage Control Problems. In 2024 American Control Conference (ACC) (pp. 4850-4857). IEEE. https://doi.org/10.23919/ACC60939.2024.10644848
- Bumpus, B. M., Fairbanks, J., Genovese, F., Puca, C., & Rosiak, D. (2024). How nice is this functor? Two squares and some homology go a long way. Proceedings of Applied Category Theory, 2024.
- Lynch, O., Brown, K., Fairbanks, J., & Patterson, E. (2024). GATlab: Modeling and Programming with Generalized Algebraic Theories. In Electronic Notes in Theoretical Informatics and Computer Science. Episciences. org. https://oxford24.github.io/assets/mfps-papers/MFPS24-11.pdf
- She, B., Hanks, T., Fairbanks, J., & Hale, M. (2023). Characterizing Compositionality of LQR from the Categorical Perspective. In 2023 62nd IEEE Conference on Decision and Control (CDC) (pp. 1680-1685). https://doi.org/10.1109/CDC49753.2023.10383467
- Aguinaldo, A., Patterson, E., Fairbanks, J., Regli, W., & Ruiz, J. (2023). A Categorical Representation Language and Computational System for Knowledge-Based Robotic Task Planning [Best Paper Award]. In Proceedings of the AAAI Symposium Series (pp. 491-497). https://doi.org/10.1609/aaaiss.v2i1.27718
- Libkind, S., Baas, A., Patterson, E., & Fairbanks, J. (2022). Operadic Modeling of Dynamical Systems: Mathematics and Computation. Electronic Proceedings in Theoretical Computer Science, 372, 192-206. https://doi.org/10.4204/EPTCS.372.14
- Brown, K., Patterson, E., Hanks, T., & Fairbanks, J. (2022). Computational Category-Theoretic Rewriting [Best Paper]. In Graph Transformation: 15th International Conference, ICGT 2022, Held as Part of STAF 2022, Nantes, France, July 7–8, 2022, Proceedings (pp. 155–172). Springer-Verlag. https://doi.org/10.1007/978-3-031-09843-7_9
- Brown, K., Hanks, T., & Fairbanks, J. (2022). Compositional Exploration of Combinatorial Scientific Models. In Applied Category Theory. https://doi.org/10.48550/ARXIV.2206.08755
- Halter, M., Herlihy, C., & Fairbanks, J. (2020). A Compositional Framework for Scientific Model Augmentation. In Electronic Proceedings in Theoretical Computer Science (pp. 172-182). Opn Publishing Association. https://doi.org/10.4204/EPTCS.323.12
- Fairbanks, J. P., Fitch, N., Bradfield, F., & Briscoe, E. (2020). Credibility Development with Knowledge Graphs. In Lecture Notes in Computer Science (pp. 33-47). Springer International Publishing. https://doi.org/10.1007/978-3-030-39627-5_4
- Cao, K., & Fairbanks, J. (2019). Unsupervised Construction of Knowledge Graphs From Text and Code. In SIGKDD Conference on Knowledge Discovery and Data Mining International Workshop on Mining and Learning with Graphs. ACM.
- Nadolski, M., & Fairbanks, J. (2019). Complex systems analysis of hybrid warfare. Procedia Computer Science, 153, 210-217. https://doi.org/10.1016/j.procs.2019.05.072
- Campbell, N., Goodyear, T., Messer, W., Stuart, E., & Fairbanks, J. (2018). Digital Witness: Remote Method for Volunteering Digital Evidence on Mobile Devices. In 2018 IEEE International Symposium on Technologies for Homeland Security (HST) (pp. 1-5). IEEE. https://doi.org/10.1109/THS.2018.8574119
- Thankachan, R. V., Swenson, B. P., & Fairbanks, J. P. (2018). Performance Effects of Dynamic Graph Data Structures in Community Detection Algorithms. In 2018 IEEE High Performance extreme Computing Conference (HPEC) (pp. 1-7). IEEE. https://doi.org/10.1109/HPEC.2018.8547528
- Fairbanks, J. P., Fitch, N., Knauf, N., & Briscoe, E. (2018). Credibility Assessment in the News: Do We Need to Read? In WSDM/MIS2 (pp. 8). ACM. https://doi.org/10.1145/3159652.3160597
- Nathan, E., Fairbanks, J., & Bader, D. (2018). Ranking in Dynamic Graphs Using Exponential Centrality. In Complex Networks & Their Applications VI (pp. 378-389). Springer International Publishing. https://doi.org/10.1007/978-3-319-72150-7_31
- Thankachan, R. V., Hein, E. R., Swenson, B. P., & Fairbanks, J. P. (2017). Integrating productivity-oriented programming languages with high-performance data structures. In 2017 IEEE High Performance Extreme Computing Conference (HPEC) (pp. 1-8). IEEE. https://doi.org/10.1109/HPEC.2017.8091068
- Ediger, D., & Fairbanks, J. P. (2017). Deriving Streaming Graph Algorithms from Static Definitions. In 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) (pp. 637-642). IEEE. https://doi.org/10.1109/IPDPSW.2017.146
- Nathan, E., Sanders, G., Fairbanks, J., Henson, V. E., & Bader, D. A. (2017). Graph Ranking Guarantees for Numerical Approximations to Katz Centrality. Procedia Computer Science, 108, 68-78. https://doi.org/10.1016/j.procs.2017.05.021
- Fairbanks, J. P., Zakrzewska, A., & Bader, D. A. (2016). New stopping criteria for spectral partitioning. In 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (pp. 25-32). IEEE. https://doi.org/10.1109/ASONAM.2016.7752209
- Zakrzewska, A., Nathan, E., Fairbanks, J., & Bader, D. A. (2016). A local measure of community change in dynamic graphs. In 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (pp. 349-353). IEEE. https://doi.org/10.1109/ASONAM.2016.7752257
- Fairbanks, J., Ediger, D., McColl, R., Bader, D. A., & Gilbert, E. (2013). A statistical framework for streaming graph analysis. In 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013) (pp. 341-347). https://doi.org/10.1145/2492517.2492620
Talks and conference talks
- Fairbanks, J. (2025). Modeling with ACT for Compositional Decision Making [Talk]. American Control Conference, Denver, CO.
- Fairbanks, J., & Patterson, E. (2025). Compositional Development of Compositional Mathematics [Talk]. Applied Category Theory, Gainesville, FL.
- Carlson, K. (2025). Multigrid Methods for Structure Preserving Discretizations [Talk]. 22ND Copper Mountain Conference on Multigrid Methods, Copper Mountain, CO.
- Fairbanks, J. P., Aduddell, R., Kumar, A., Ocal, P. S., Patterson, E., & Shapiro, B. T. (2024). A compositional account of motifs, mechanisms, and dynamics in biochemical regulatory networks. AMS Southeastern Sectional Meeting, Tallahassee, FL.
- Fairbanks, J. P., & Lynch, O. (2023). Computational category theory in applied mathematics [Invited]. Joint Mathematics Meetings, Boston, MA.
- Aduddell, R., Ocal, P. S., Fairbanks, J. P., Patterson, E., Shapiro, B., & Kumar, A. (2023). A categorical framework for (gene) regulatory networks. Joint Mathematics Meeting, Boston, MA.
- 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
- 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
- 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
- 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.
- Lynch, O., Patterson, E., & Fairbanks, J. (2021). Shaped data with acsets. JuliaCon, Virtual. https://pretalx.com/juliacon2021/talk/NWRPGY/
- Libkind, S., & Fairbanks, J. (2021). AlgebraicDynamics: Compositional dynamical systems. JuliaCon, Virtual. https://pretalx.com/juliacon2021/talk/ARURL8/
- 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
- 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).
- Herlihy, C., & Fairbanks, J. (2019). semanticmodels.jl: Not just another modeling framework. JuliaCon, Baltimore, MD. https://www.youtube.com/watch?v=WJneK7OjqMQ
- Herlihy, C., Cao, K., Reparti, S., Briscoe, E., & Fairbanks, J. (2019). Semantic Program Analysis for Scientific Model Augmentation. Modeling the World’s Systems, 7.
- Fairbanks, J. (2018). The JuliaGraphs ecosystem: Move fast and don't break things. JuliaCon, London, UK. https://youtu.be/OZuQoxTPoyM
- Besançon, M., & Fairbanks, J. (2018). Graph interfaces: Bespoke graphs for every occasion. JuliaCon, London, UK. https://youtu.be/OD-BSn4FZ2A
- Bromberger, S., & Fairbanks, J. (2017). LightGraphs: Our network, our story. JuliaCon, Berkeley, CA. https://youtu.be/MFD-qmApXl8
- 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.
- 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
- 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/
Posters
- Perez, J., Baas, A., Ferrall-Fairbanks, M. C., Platt, M. O., & Fairbanks, J. P. (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.
- Lynch, O., Fairbanks, J. P., & Patterson, E. (2021). Graphical semantic modeling with semagrams.jl. Applied Category Theory, Cambridge, UK.
- Fairbanks, J. P. (2019). Semantic model understanding for scientific model augmentation. Systems Biology of Human Disease,, Berlin, DE.
- Fairbanks, J. P. (2017). QueryGarden: growing healthy applications in well prepared SQL. OHDSI Symposium, New York, NY.
- Brown, C. S., Duke, J., Fairbanks, J. P., Herlihy, C., Mukadam, K., Poovey, J., & Rost, M. (2017). Implementing real-time patient level predictions using PLP models. OHDSI Symposium.
- Fairbanks, J. P. (2015). Discovering block structure with approximate eigenvectors. SIAM Computational Science and Engineering.
- Fairbanks, J., & Sanders, G. (2015). Discovering block structure in graphs with approximate eigenvectors [Poster]. SIAM Computational Science and Engineering, Salt Lake City, UT. https://jpfairbanks.com/doc/siam-cse-2015.pdf
- Fairbanks, J. P. (2012). Ramsey theorem for indecomposable matchings. Graph Theory at Georgia Tech (GT@GT), Atlanta, GA.
Preprints
- Bumpus, B. M., Fairbanks, J., & Turner, W. J. (2024). Pushing Tree Decompositions Forward Along Graph Homomorphisms. arXiv. https://doi.org/10.48550/arXiv.2408.15184
- Hanks, T., Klawonn, M., Patterson, E., Hale, M., & Fairbanks, J. (2024). A Compositional Framework for First-Order Optimization. arXiv. https://doi.org/10.48550/arXiv.2403.05711
- Arlin, K., Fairbanks, J., Hosgood, T., & Patterson, E. (2024). The diagrammatic presentation of equations in categories. arXiv:2401.09751.
- Bumpus, B. M., Capucci, M., Fairbanks, J., & Rosiak, D. (2024). Failures of compositionality: a short note on cohomology, sheafification and lavish presheaves. arXiv:2407.03488.
- Althaus, E., Bumpus, B. M., Fairbanks, J., & Rosiak, D. (2023). Compositional Algorithms on Compositional Data: Deciding Sheaves on Presheaves. arXiv. https://doi.org/10.48550/arXiv.2302.05575
Talks, extremely comprehensive list
- Fairbanks, J. P. (2026). Compositional Modeling: Structures, Dynamics, Optimization. American Control Conference, New Orleans, LA.
- Fairbanks, J. P. (2026). Panel on Applied Category Theory for Compositional Decision Making. American Control Conference, New Orleans, LA.
- 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.
- Cohen, S., & Fairbanks, J. P. (2026). Federated Learning with Cellular Sheaves. UF Undergraduate Research Symposium, Gainesville, FL.
- 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.
- Gross, T., & Fairbanks, J. P. (2026). Quadrotor Coordination Using Cellular Sheaves and Linearized LQR. Center for Undergraduate Research Spring Symposium, Gainesville, FL, USA.
- Bou Barcelo, J., & Fairbanks, J. P. (2026). Heterogeneous Multi-Agent Multi-Target Tracking. INFORMS Optimization Society Conference, Atlanta, GA.
- 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.
- Hanks, T., & Fairbanks, J. P. (2026). Coordination Sheaves. Core Lab Georgia Tech, Atlanta.
- Fairbanks, J. P., & Zare, A. (2025). Domain Transfer for Continuity of Performance Across SAS Systems . ONR Code 32 Program Review, Online.
- Fairbanks, J. P., & Leal, W. (2025). Sheaves in Time Varying Data and Dynamical Systems. NCR Lab UF MAE Department, Gainesville, FL.
- Leal, W., & Fairbanks, J. P. (2025). Sheaves in Dynamical Systems: Enumerating Fixed Points of CTLNs. Kallies Research Group, Toledo, OH.
- 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.
- Fairbanks, J. P., & Leal, W. (2025). Computing Fixed Points of CTLNs with Separated Presheaves, Sheaves and Dynamic Programming. Category Theory Octoberfest 2025, Online.
- Wall, A., & Fairbanks, J. P. (2025). A Category-Theoretic Approach to Resource Optimization. University Mathematics Society, Gainesville, FL.
- Fairbanks, J. P., & Leal, W. (2025). Sheaf Cohomology on Simplicial Complexes. CODAC COE, Gainesville, FL.
- Leal, W. (2025). Temporal Analysis of Data Using Category Theory and the Hidden Connection Between Persistence and Accumulation. Seminario de Matemáticas Aplicadas, Quantil, Colombia.
- Fairbanks, J. P. (2025). Going beyond graphs: simplicial, hyper, and relational structure. JuliaCon, Pittsburgh.
- Fairbanks, J. P. (2025). New Approaches in Computational Physics: Multiphysics and Multiscale with Discrete Exterior Calculus. Army Research Lab, Adelphi, MD.
- Fairbanks, J. P. (2025). Introduction to Applied Category Theory for Compositional Decision Making. ACC Conference Workshop, Denver, CO.
- Fairbanks, J. P. (2025). Compositional Modeling in Applied Category Theory for Compositional Decision Making. ACC Conference Workshop, Denver, CO.
- 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.
- Hanks, T., & Fairbanks, J. P. (2025). Category Theory for Distributed Optimization. Applied Category Theory [keynote], Gainesville, FL.
- Zelko, J., Cuffaro, M., Wu, S., & Fairbanks, J. P. (2025). A Case Study in Public Health Research. Applied Category Theory, Gainesville, FL.
- Fairbanks, J. P., & Patterson, E. (2025). AlgebraicJulia Compositional Development of Compositional Mathematics. Applied Category Theory, Gainesville, FL.
- Hanks, T., & Fairbanks, J. P. (2025). Multiagent Autonomy with Cellular Sheaves. GTRI ACAI, Atlanta, GA.
- Wall, A., & Fairbanks, J. P. (2025). Structured Decompositions. Undergraduate Mathematics Research Symposium, Gainesville, FL.
- 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.
- Fairbanks, J. P. (2024). A compositional account of motifs, mechanisms, and dynamics in biochemical regulatory networks. AMS Southeastern Sectional Meeting, Tallahassee, FL.
- Morris, L. L., Baas, A., Fairbanks, J. P., Arias, J., & Gaitlin, M. (2023). Abstraction and Composition in Modeling and Simulation. Mechanical and Aerospace Engineering Seminar, Gainesville, FL.
- Morris, L., & Nathan, E. (2023). Discourse Sheaves for Opinion Dynamics over Social Media Data. Lawrence Livermore National Laboratory Summer SLAM, Livermore, CA.
- 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.
- 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.
- 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.
- 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.
- Fairbanks, J. P., Morris, L. L., & Rauta, G. (2023). Computational Multiphysics in a Categorical Framework. Applied Category Theory, College Park, MD.
- 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.
- Fairbanks, J. P. (2023). Decapodes. jl: A Framework for Multiphysics Simulation. MAE Department AFOSR Visit, Gainesville, FL.
- 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.
- 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.
- 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.
- Bumpus, B. M., & Fairbanks, J. P. (2023). Chopping things up to decide stuff fast. 54th Southeastern International Conference on Combinatorics Graph Theory and Computing, Boca Raton, FL.
- Morris, L. L., Baas, A., Fairbanks, J. P., Arias, J., & Gaitlin, M. (2023). Abstraction and Composition in Modeling and Simulation. Graduate Mathematics Association, Gainesville, FL.
- Fairbanks, J. P. (2022). Scientific and Engineering Modeling with Applied Category Theory. DARPA Young Faculty Colloquium, Arlington, VA.
- Fairbanks, J. P., & Patterson, E. (2022). Enkix Task Reasoning. DARPA Site Visit, Gainesville, FL.
- Fairbanks, J. P. (2022). Computational Physics Modeling with Categories. Institute of Theoretical Physics, Friedric-Alexander-Universitaet, Erlangen-Nuernberg, Germany.
- Libkind, S., & Fairbanks, J. P. (2022). Compositional Modeling of Disease Dynamics. UW-IHME Compositional Epidemiology Modeling Working Group, Online.
- Fairbanks, J. P. (2022). Using Category Theory to Design Computational Mathematics Software. Numerical Analysis Seminar at UF Mathematics Department, Gainesville, FL.
- Fairbanks, J. P. (2022). Scientific and Engineering Modeling with Applied Category Theory. MAE Department Control Theory Working Group, Gainesville, FL.
- Fairbanks, J. P. (2022). Applied Category Theory for the Mathematics of Disease. Canadian Network for Modeling Infectious Disease, Vancouver, Canada.
- Fairbanks, J. P., & Patterson, E. (2022). Enkix Task Reasoning. DARPA Site Visit, Gainesville, FL.
- Hanks, T. (2022). Compositional Convex Optimization. Air Force Research Laboratory, Rome, NY.
- Fairbanks, J. P. (2022). Diagrammatic Equations in Physics: Directly Computable Models. Lawrence Livermore National Laboratory Center for Applied Scientific Computing, Livermore, CA.
- Fairbanks, J. P. (2022). Model Aware Scientific Computing with Categories. Air Force Research Laboratory, Rome, NY.
- Fairbanks, J. P. (2022). Diagrammatic Equations for Complex Machine Learning Formulations. ONR Code 32 Site Visit, Gainesville, FL.
- Fairbanks, J. P. (2022). Introduction to Category Theory. The Simula Corporation, Oslo, NO.
- Fairbanks, J. P. (2022). Diagrammatic Equations In Physics, Directly Computable Models. The Simula Corporation, Oslo, NO.
- Fairbanks, J. P. (2022). Computational Modeling with Category Theory. Systems Medicine Laboratory Seminar UF College of Medicine, Gainesville, FL.
- Fairbanks, J. P. (2022). Scientific Modeling with AlgebraicJulia. Rel.AI Research Seminar, Online.
- Fairbanks, J. P., & Lynch, O. (2022). Computational Category Theory in Applied Mathematics. Joint Mathematics Meetings, Boston, MA.
- 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.
- Bumpus, B. M., & Fairbanks, J. P. (2022). Structured Decompositions: Recursive Data and Recursive Algorithms. Joint Math Meeting, Boston, MA.
- Brown, K., & Fairbanks, J. P. (2022). Automated Model Space Exploration. UW-IHME Compositional Epidemiology Modeling Working Group, Online.
- 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.
- Lynch, O., Patterson, E., & Fairbanks, J. P. (2021). Shaped Data with ACSets. JuliaCon, Online.
- Libkind, S., Patterson, E., & Fairbanks, J. P. (2021). Shaped Data with ACSets. JuliaCon, Online.
- Fairbanks, J. P., & Patterson, E. (2021). Compositional Modeling with AlgebraicJulia. NIH Interagency Modeling and Analysis Group, Online.
- Fairbanks, J. P. (2021). The AlgebraicJulia Ecosystem: a Categorical Approach to Technical Computing. Topos Institute Berkeley Seminar, Berkeley, CA.
- Fairbanks, J. P. (2021). Computational Categorical Algebra with Catlab. Graph Transformation Theory and Applications, Paris, FR.
- Fairbanks, J. P. (2021). Progress towards the GroMet specification for semantic model exchange. DARPA Automating Scientific Knowledge Extraction Principal Investigator Meeting, Arlington, VA.
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