SELECTED PUBLICATIONS

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(from among 100+ journal & refereed conference papers and book chapters, as well as two edited books)

	E. Bradley, "Universality in Nonlinear Dynamical Systems" in Foundational Papers in Complexity Science, D. Krakauer, Ed., Santa Fe Institute Press, 2024.
	E. Bradley, J. W. C. White, and J. Garland, "Thoughtful Data Analysis," CHAOS 34:101502 (2024).
	D. Du, A. C. Subramanian, W. Han, W. E. Chapman, J. B. Weiss, and E. Bradley, "Increase in MJO Predictability Under Global Warming," Nature Climate Change 14:68-74 (2024).
	G. Gharooni-Fard, M. Byers, V. Deshmukh, E. Bradley, C. Mayo, C. Topaz, and O. Peleg, "A Computational Topology-based Spatiotemporal Analysis Technique for Honeybee Aggregation," npj Complexity 1:3 (2024).
	V. Deshmukh, S. Bhaskar, T. Berger, E. Bradley, and J. D. Meiss, "Comparing feature sets and machine-learning models for prediction of solar flares: Topology, physics, and model complexity," Astronomy & Astrophysics 674:A159 (2023).
	V. Deshmukh, R. Meikle, E. Bradley, J. D. Meiss, and J. Garland, "Using scaling-region distributions to select embedding parameters," Physica D 446:133674 (2023).
	S. Molnar, E. Bradley, and K. Gruchalla, "Oscillatory spreading and inertia in power grids," CHAOS 31:123103 (2021).
	V. Deshmukh, E. Bradley, J. Garland, and J. D. Meiss, "Towards automated extraction and characterization of scaling regions in dynamical systems," CHAOS 31:123102 (2021). DOI: 10.1063/5.0069365.
	I've worked on a number of white papers and workshop reports for the Computing Research Association's Computing Community Consortium, an organization that I chaired for a number of years. Here are some of those resources; you can find more under the "Resources" tab of the CCC website listed above. “Computing Research for the Climate Crisis" “Building Resilience to Climate Driven Extreme Events with Computing Innovations: A Convergence Accelerator Report" “Fostering Responsible Computing Research Report Recommendations for Computing Research Institutions: Actionable Steps" “An Agenda for Disinformation Research” (press release here), “Pandemic Informatics: Preparation, Robustness and Resilience" "A 20-Year Roadmap for AI" “Big Data, Data Science, and Civil Rights" (and related blog post).
	Some publicity/thought pieces in other venues: A 2020 College of Engineering article about the work of the Computing Community Consortium (CCC). A 2020 podcast from the CCC about our work on ice cores and chaos theory. A 2022 article and a 2023 podcast from Nature about being a scientist, teacher, mentor...and athlete.
	V. Deshmukh, T. Berger, J. D. Meiss, and E. Bradley, "Shape-based Feature Engineering for Solar Flare Prediction," IAAI (Proceedings of the 33rd Conference on Innovative Applications of Artificial Intelligence), February 2021. Preprint available on arXiv
	M. Neuder, E. Bradley, E. Dlugokencky, J. White, and J. Garland, "Detection of Local Mixing in Time-Series Data Using Permutation Entropy," Physical Review E 103, 022217 (2021). Preprint available on arXiv
	G. Gharooni Fard, E. Bradley, and O. Peleg, "Data-Driven Modeling of Resource Distribution in Honeybee Swarms," ALife 2020 pp324-332. Preprint available on bioarxiv.
	V. Deshmukh, E. Bradley, J. Garland, and J. D. Meiss, "Using Curvature to Select the Time Lag for Delay Reconstruction," CHAOS 30:053108 (2020). Preprint available on arXiv.
	V. Deshmukh, T. Berger, E. Bradley, and J. D. Meiss, "Leveraging the Mathematics of Shape for Solar Magnetic Eruption Prediction," Journal of Space Weather and Space Climate 10:13 (2020); doi.org/10.1051/swsc/2020014.
	J. Garland, T. R. Jones, M. Neuder, J. W. C. White, and E. Bradley, "An information-theoretic approach to extracting climate signals from deep polar ice cores," CHAOS 29 101105 (2019)
	Khider, D. et al., "PaCTS 1.0: A Crowdsourced Reporting Standard for Paleoclimate Data," Paleoceanography and Paleoclimatology 34:1570 (2019); doi:10.1029/2019PA003632. Spotlighted in EOS.
	J. Garland and E. Bradley, "Information Theory in Earth and Space Science," SIAM News, October 2018
	J. Emile-Geay and D. Khider and D. Garijo and N. McKay and Y. Gil and V. Ratnatkar and E. Bradley, "The Linked Earth Ontology : A Modular, Extensible Representation of Open Paleoclimate Data," Earth Science Informatics, May 2018.
	E. Bradley, T. Nelson, and L. Rassbach de Vesine, "CSciBox: Artificial intelligence for age-depth modeling," PAGES 26:72 (2018)
	J. Garland, T. R. Jones, V. Morris, M. Neuder, J. W. C. White, E. Bradley, "Anomaly Detection in Paleoclimate Records using Information Theory," Entropy 20:931 (2018)
	N. Sanderson, E. Shugerman, S. Molnar, J. Meiss, and E. Bradley, "Computational Topology Techniques for Characterizing Time-Series Data", IDA-17 (Proceedings of the 13th International Symposium on Intelligent Data Analysis), London, October 2017.
	J. Garland, E. Bradley, and J. Meiss, "Exploring the topology of dynamical reconstructions," Physica D 334:49-59 (2016). Preprint available on arXiv.
	J. Garland, R. James, and E. Bradley, "Leveraging information storage to select forecast-optimal parameters for delay-coordinate reconstructions," Physical Review E 93:022221 (2016). Preprint available on arXiv (with a different title: "A new method for choosing parameters in delay reconstruction-based forecast strategies")
	J. Garland and E. Bradley, "Prediction in projection," Chaos 25:123108 (2015); http://dx.doi.org/10.1063/1.4936242. Preprint available on arXiv.
	E. Bradley, A. Motter, and L. Pecora, "Introduction to Focus Issue: The 25th Anniversary of Chaos: Perspectives on Nonlinear Science--Past, Present, and Future" Chaos 25:097501 (2015). doi: 10.1063/1.4931448. Here is a link to the Focus Issue itself.
	E. Bradley and H. Kantz, "Nonlinear time-series analysis revisited" Chaos 25: 097610 (2015). DOI: 10.1063/1.4917289. Preprint available on arXiv. 6th most highly cited paper in Chaos in 2017.
	E. Komendera, J. Garland, D. Scheeres, and E. Bradley, ``Efficiently Evaluating Reachable Sets in the Circular Restricted 3-Body-Problem,'' IEEE Transactions on Aerospace and Electronic Systems 51:454-467 (2015).
	Z. Alexander, E. Bradley, J. D. Meiss, and N. Sanderson, "Simplicial Multivalued Maps and the Witness Complex for Dynamical Analysis of Time Series" SIAM Dynamical Systems 14:1278-1307 (2015). Preprint available at arXiv.
	J. Garland, R. James, and E. Bradley, "Model-Free Quantification of Time-Series Predictability," Physical Review E 90:052910 (2014). Preprint available at arXiv.
	N. Look, C. Arellano, A. Grabowski, W. McDermott, R. Kram, and E. Bradley, "Dynamic stability of running: The effects of speed and leg amputations on the maximal Lyapunov exponent," Chaos 23:043131 (2013). doi: 10.1063/1.4837095. This work was also spotlighted in Physics Today "Physics Updates".
	J. Garland and E. Bradley, "On the importance of nonlinear modeling in computer performance prediction," IDA-13 (Proceedings of the 12th International Symposium on Intelligent Data Analysis), London, October 2013. Best paper ("Frontier") prize recipient. Preprint available at arXiv.
	L. Rassbach de Vesine, K. Anderson, M. Zreda, C. Zweck, and E. Bradley, "Forensic Reasoning about Paleoclimatology," the AAAI Fall Symposium on Discovery Informatics, Arlington VA, November 2013.
	E. Komendera, D. Scheeres, and E. Bradley, ``Intelligent Computation of Reachability Sets for Space Missions,'' IAAI-12 (Proceedings of the 24th Conference on Innovative Applications of Artificial Intelligence), Toronto; July 2012.
	E. Bradley, E. Komendera, and D. Scheeres, ``Efficiently Locating Impact and Escape Scenarios in Spacecraft Reachability Sets,'' AIAA/AAS Astrodynamics Specialist Conference, Minneapolis; doi: 10.2514/6.2012-4810; eISBN: 978-1-62410-182-3; August 2012.
	C. Zweck, M. Zreda, E. Bradley, and K. Anderson, "The Theoretical Basis for ACE, an Age Calculation Engine for Cosmogenic Nuclides," Chemical Geology 291:199--205 (2012). doi:10.1016/j.chemgeo.2011.10.005.
	C. Phillips, L. Becker, and E. Bradley, ``Strange Beta: An assistance system for indoor rock climbing route setting using chaotic variations and machine learning,'' Chaos 22:013130 (2012). Extended preprint available as Technical Report CU-CS (Department of Computer Science) CU-CS-1088-11.
	Z. Alexander, E. Bradley, J. Garland and J. Meiss, "Iterated Function System Models in Data Analysis: Detection and Separation," Chaos 22:023103 (2012). Preliminary version available at arXiv; full preprint available as Technical Report CU-CS (Department of Computer Science) CU-CS-1087-11.
	R. Hoenigman, E. Bradley, N. Barger, "Water Conservation Through Facilitation on Residential Landscapes," in Proceedings of the 25th Conference on Artificial Intelligence (AAAI) San Francisco; August 2011. Here's a fun news feature about this project from the BioFrontiers Institute webpage.
	J. Garland and E. Bradley, "Predicting Computer Performance Dynamics," in Advances in Intelligent Data Analysis X, Springer Lecture Notes in Computer Science volume 7014, 2011
	L. Rassbach, E. Bradley, and K. Anderson, "Providing Decision Support for Cosmogenic Isotope Dating," AI Magazine 32:69-78 (2011)
	R. Hoenigman, A. Lim, and E. Bradley, "Cooperation in Bike Racing: When to Work Together and When to Go It Alone," Complexity 17:39-44 (2011). Excerpted in Complexity Digest.
	N. Ross, J. Hertzberg, and E. Bradley, "Discretization of the Vorticity Field of a Planar Jet," Experiments in Fluids 49:1161 (2010)
	Z. Alexander, T. Mytkowicz, A. Diwan and E. Bradley, "Measurement and Dynamical Analysis of Computer Performance Data," IDA-10 (Proceedings of the 9th International Symposium on Intelligent Data Analysis), Tucson; May 2010; Springer Lecture Notes in Computer Science volume 6065.
	T. Mytkowicz, A. Diwan, and E. Bradley, "Computers Are Dynamical Systems," Chaos 19:033124 (2009); doi:10.1063/1.3187791
	E. Bradley, D. Capps, J. Luftig, and J. Stuart, "Towards Stylistic Consonance in Human Movement Synthesis," Open AI Journal 4:1-19 (2010). Extended version available as Technical Report CU-CS (Department of Computer Science) CU-CS-1029-07.
	J. Giardino, J. Hertzberg, and E. Bradley, "A Calibration Procedure for Millimeter-Scale Stereomicroscopic Particle Image Velocimetry," Experiments in Fluids 45:1037--1045. (2008)
	T. Peacock and E. Bradley, "Going with (or against) the Flow," Science 320:1302 (2008).
	K. Anderson, E. Bradley, M. Zreda, L. Rassbach, C. Zweck, and E. Sheehan. "ACE: Age Calculation Engine: A Design Environment for Cosmogenic Dating Techniques". In Proceedings of the International Conference on Advanced Engineering Computing and Applications in Sciences. Nov. 2007.
	A. Hogan, R. Stolle, and E. Bradley, "Agenda control for heterogeneous reasoners," J. Logic and Algebraic Programming, 62:41-69 (2005)
	J. Garnett, Adaptive Nonlinear Resource Distribution Control, Ph.D. thesis, 2004.
	T. Peacock, E. Bradley, J. Hertzberg, and Y-C. Lee, "Forcing a Planar Jet Flow with MEMS," Experiments in Fluids 37:22-28 (2004).
	Z. Ma, E. Bradley, T. Peacock, J. Hertzberg, and Y-C. Lee, "Solder-assembled large MEMS flaps for fluid mixing," IEEE Transactions on Advanced Packaging 26:268-276 (2003).
	V. Robins, N. Rooney, and E. Bradley, "Topology-based signal separation" Chaos, 14:305-316 (2004).
	V. Robins, J. Abernethy, N. Rooney, and E. Bradley, "Topology and intelligent data analysis" Intelligent Data Analysis 8:505-515 (2004)
	E. Bradley and R. Mantilla, "Recurrence plots and unstable periodic orbits." Chaos 12:596-600 (2002).
	E. Bradley, N. Collins, and W. Kegelmeyer, "Feature characterization in scientific datasets," IDA-01 (International Symposium on Intelligent Data Analysis), Lisbon; September 2001.
	E. Bradley, M. Easley, and R. Stolle, "Reasoning about nonlinear system identification," Artificial Intelligence, 133:139-188 (2001)
	V. Robins, J. Meiss, and E. Bradley, "Computing connectedness: Disconnectedness and discreteness," Physica D 139:276-300. (2000)
	E. Bradley, D. Capps, and A. Rubin, "Can computers learn to dance?," International Dance & Technology (IDAT), Tempe AZ, Feb 1999.
	M. Easley and E. Bradley, "Generalized physical networks for model building," Proceedings International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, August 1999.
	E. Bradley, "Time-series analysis," in M. Berthold and D. Hand, editors, Intelligent Data Analysis: An Introduction, Springer Verlag, 1999.
	E. Bradley and J. Stuart, "Using chaos to generate variations on movement sequences," Chaos, 8:800-807 (1998)
	J. Iwanski and E. Bradley, "Recurrence plot analysis: To embed or not to embed?," Chaos, 8:861-871 (1998).
	E. Bradley, A. O'Gallagher, and J. Rogers, "Global solutions for nonlinear systems using qualitative reasoning," Annals of Mathematics and Artificial Intelligence, 23:211-228 (1998)
	J. Stuart and E. Bradley, "Learning the grammar of dance," Proceedings International Conference on Machine Learning (ICML-98), Madison, Wisconsin, July 1998.
	V. Robins, J. Meiss, and E. Bradley, "Computing connectedness: An exercise in computational topology," Nonlinearity, 11:913-922 (1998).
	J. Dixon, E. Bradley, and Z. Popovic, "Nonlinear time-domain analysis of injection-locked microwave MESFET oscillators," IEEE Trans. on Microwave Theory and Technique, 45:1050-1057 (1997).
	E. Bradley and D. Straub, "Using chaos to improve the capture range of a phase-locked loop: Experimental verification," IEEE Transactions on Circuits and Systems, 43:914-922 (1996)
	E. Bradley and R. Stolle, "Automatic construction of accurate models of physical systems" the Annals of Mathematics and Artificial Intelligence, 17:1-28, (1996).
	E. Bradley, "Autonomous exploration and control of chaotic systems" Cybernetics and Systems, 26:299-319 (1995).
	E. Bradley, "Using chaos to broaden the capture range of a phase-locked loop," IEEE Transactions on Circuits and Systems, 40:808-818 (1993)

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