Research
Due to the nature of mathematical research, all authors are considered on equal footing and are always listed in alphabetical order, i.e., there is no 'first author'. This convention contrasts to my collaborative work with domain scientists, where a 'first author' naming convention exists in manuscript writing.
Publications
A. Spannaus, H. Hanson, L. Penberthy, G. Tourassi, “Topological Interpretability for Deep Learning.” Accepted PASC24. https://arxiv.org/submit/5531519.
A. Spannaus, et al., “FrESCO: Framework for Exploring Scalable Computational Oncology.” Journal of Open Source Software, 2023. https://joss.theoj.org/papers/10.21105/joss.05345.
A. Peluso, I. Danciu, H. Yoon, A. Spannaus, J. Yusof, T. Bhattacharya, N. Schaefferkoetter, E. Durbin, X. Wu, A. Stroup, J. Doherty, S. Schwartz, C. Wiggins, L. Coyle, L. Penberthy, G. Tourassi, S. Gao, “Deep learning uncertainty quantification for clinical text classification”, Journal of Biomedical Informatics, 2023. https://doi.org/10.1016/j.jbi.2023.104576
A. Spannaus, T. Papamarkou, S. Erwin, and J. B. Christian, Inferring the spread of COVID-19: the role of time-varying reporting rate in epidemiological modelling. Scientific Reports, 2022. https://doi.org/10.1038/s41598-022-14979-0
A. Spannaus, K. J. H. Law, D. J. Keffer, V. Maroulas, Variational Atomic Sequencing. In preparation.
A. Spannaus et al., Topological Interpretation of Deep Learning Models, Computational Approaches for Cancer Workshop, SC21, 2021 – accepted.
A. Spannaus, K. J. H. Law, D. J. Keffer, V. Maroulas, et al., Materials Fingerprinting Classification. Computer Physics Communications, 2021. https://doi.org/10.1016/j.cpc.2021.108019.
V. Maroulas, C. Micucci, A. Spannaus, A Stable Cardinality Distance for Topological Classification, Advances in Data Analysis and Classification. 2019. https://doi.org/10.1007/s11634-019-00378-3
A. Spannaus, K. J. H. Law, D. J. Keffer, V. Maroulas, Bayesian Point Set Registration, 2017 MATRIX Annals, Editors: David R. Wood, Jan de Gier, Cheryl E. Praeger, Terence Tao. MATRIX Book Series, Volume 2, Springer. https://doi.org/10.1007/978-3-030-04161-8_8.
A. Spannaus, Testing for New Better than Used: Oxygen Monitoring at the Spallation Neutron Source as a Test Case, SIAM Undergraduate Research Online. http://dx.doi.org/10.1137/15S014010.
PRESENTATIONS
Invited Talks
Topological Interpretability for Deep Learning, PASC24, June 2024.
Enhancing Cancer Registry Data with MOSSAIC: Deep Learning Solutions for Reportability Screening, NAACCR Annual Conference, June 2024.
Topological Interpretability for Deep Learning, NCI Cancer Moonshot series, August 2023.
Topological Interpretability for Deep Learning, Monterey Data Conference, August 2023.
FrESCO: Framework for Exploring Scalable Computational Oncology, NAACCR Annual Conference, June 2023.
University of Tennessee Department of Mathematics Data Science Seminar, November 2022.
Privacy Considerations within Biomedical Deep Learning, Digital Futures Workshop: Privacy Preserving Data Analysis, Manchester, UK May 2022.
University of Tennessee Bredesen Center Energy Science and Engineering Colloquium, April 2022.
Topological Interpretation of Deep Learning Models, Computational Approaches for Cancer Workshop, SC21, November 2021.
Topological Interpretation of Deep Learning Models, Oak Ridge Postdoctoral Research Symposium, July 2021.
Atomic Sequencing for High-Entropy Alloys, SIAM Mathematical Aspects of Materials Science, May 2021.
University of Tennessee Data Science Colloquium, October 2020.
Topological Classification of Crystal Structures through Statistical Learning. Oak Ridge Chapter of the ASM, Knoxville, TN, October 2019.
Uncertainty Quantification Minisymposium, SIAM Annual Meeting, Portland, OR, July 2018.
Data Analysis and Workflows for Structural Descriptions of Complex Materials, SIAM Conference on Computational Science and Engineering, Atlanta, GA, February 2017.
Contributed Talks
Materials Fingerprinting Classification. Applied Topology: Theory and Applications, AMS Southeast Sectional, Gainesville, FL, November 2019.
Accelerator Reliability Workshop, Knoxville, TN, April 2015.
UT Undergraduate Math Conference, Knoxville, TN, April 2015.