Publications

Bold indicates my authorship. ❋ student mentee, * equal authorship.

At a glance

Peer-reviewed, in review

• From collection trays to AI-ready data: an operational framework for automated entomological specimen processing.

  East, A., S. M. Rayeed, S. Stevens, L. Cotton❋, J. Domingez❋, N. Cain❋, E. Campolongo, I. Betancourt, and S. Record.

  Biodiversity Data Journal (in review).

  

2026

• A continental-scale dataset of ground beetles with high-resolution images and validated morphological trait measurements.

  Rayeed, S. M.*, M. Khurana*, A. East*, I. E. Fluck, E. G. Campolongo, S. Stevens, I. Zarubiieva, S. C. Lowe, M. W. Denslow, E. D. Donoso, J. Wu, M. Ramirez, B. Baiser, C. V. Stewart, P. Mabee, T. Berger-Wolf, A. Karpatne, H. Lapp, R. P. Guralnick, G. W. Taylor, and S. Record. (2026).

  Nature Scientific Data.

  

• ForestForTrees: an R package to infer forest structure from remote sensing data.

  Eichenwald, A., J. M. Grady, A. East, N. Charney, and S. Record. (2026).

  Methods in Ecology and Evolution 17(7): 2052–2060.

  Paper

  

• Comprehensive framework for assessing and optimizing existing research networks.

  East, A., J. Kumar, and W. Hargrove. (2026).

  Conservation Biology e70202.

  Paper

  

• Automatic image-level morphological trait annotation for organismal images.

  Pahuja, V., S. Stevens, A. East, S. Record, and Y. Su. (2026).

  International Conference on Learning Representations (ICLR), Rio de Janeiro, Brazil.

  Paper Project page

• BeetleFlow: an integrative deep learning pipeline for beetle image processing.

  Liu, F., S. M. Rayeed, S. Stevens, A. East, C. H. Chiang, C. Lee, D. Yi, J. Yang, T. Naik, Z. Wang, C. Kilrain, E. H. Buckwalter, J. Hou, S. I. Bueno, S. Wang, X. Ma, Y. Liu, Z. Tao, Z. Zhang, E. Sokol, M. Belitz, S. Record, C. V. Stewart, and W.-L. Chao. (2026).

  Preprint, arXiv:2511.00255 [cs.CV].

  Preprint

  

2025

• Optimizing image capture for computer vision-powered taxonomic identification and trait recognition of biodiversity specimens.

  East, A., E. G. Campolongo, L. Meyers, S. M. Rayeed, S. Stevens, I. Zarubiieva, I. E. Fluck, J. C. Girón, M. Jousse, S. Lowe, K. I. Perry, I. Betancourt, N. Charney, E. Donoso, N. Fox, K. J. Landsbergen, E. Nepovinnykh, M. Ramirez, P. Singh, … S. Record. (2025).

  Methods in Ecology and Evolution 16(10): 2260–2275.

  Paper

  

• Fine-grained beetle taxonomy with vision models: a benchmark on long-tailed and domain-adaptive classification.

  Rayeed, S. M., A. East, S. Stevens, S. Record, and C. V. Stewart. (2025).

  IEEE/CVF International Conference on Computer Vision (ICCV), Honolulu, Hawaii, 5152–5158.

2024

• Validation and error minimization of GEDI data in the South American tropics.

  East, A., A. J. Hansen, P. A. Jantz, D. Roberts, and D. Armenteras-Pascual. (2024).

  Remote Sensing 16(19).

  

• Integrating ecological value and charismatic species habitats to prioritize habitats for conservation: a case study from Greater Yellowstone.

  Hansen, A. J., A. East, Z. Ashford❋, C. Crittenden❋, O. Jakabosky❋, D. Quinby, L. Gigliotti❋, F. T. van Manen, M. A. Haroldson, A. Middleton, N. Robinson, and D. M. Theobald. (2024).

  Natural Areas Journal 44: 157–171.

2023

• Measuring understory fire effects from space: canopy change in response to tropical understory fire and what this means for applications of GEDI for tropical fire.

  East, A., A. Hansen, D. Armenteras, P. Jantz, and D. Roberts. (2023).

  Remote Sensing 15: 696.

  

2022

• Informing conservation decisions to target private lands of highest ecological value and risk of loss.

  Hansen, A. J., K. Mullan, D. M. Theobald, N. Robinson, A. East, and S. Powell. (2022).

  Ecological Applications.

2021

• Is whitebark pine less sensitive to climate warming when climate tolerances of juveniles are considered?

  Hansen, A. J., A. East, R. E. Keane, M. Lavin, K. Legg, Z. Holden, C. Toney, and F. Alongi. (2021).

  Forest Ecology and Management 493: 119221.

  

• Natural vegetation cover on private lands: locations and risk of loss in the northwestern United States.

  Hansen, A. J., K. Mullan, D. M. Theobald, S. Powell, N. P. Robinson, and A. East. (2021).

  Ecosphere 12.

• Towards monitoring ecosystem integrity within the Post-2020 Global Biodiversity Framework.

  Hansen, A. J., B. P. Noble, J. Veneros, A. East, S. J. Goetz, C. Supples, J. E. M. Watson, P. A. Jantz, R. Pillay, W. Jetz, S. Ferrier, H. S. Grantham, T. D. Evans, J. Ervin, O. Venter, and A. L. S. Virnig. (2021).

  Conservation Letters e12822: 1–23.

  

Other publications

• Chapter 8: Status, trends, and future projections of terrestrial ecosystems in the US.

  Collinge, S., M. Alberti, A. A. Berhe, C. J. Brock, R. Chapin-Kramer, A. East, K. E. Fisher, L. L. Jennings, H. P. Jones, A. D. Rodewald, K. J. Siegel, P. H. Templer, and T. Weber. (2026).

  The Nature Record.

  The Nature Record

• Early-career publishing and reviewing: pitfalls and perspectives.

  Carroll, K. A., A. East, X. Gao, J. G. McMullen II, and N. Emery. (2025).

  The Bulletin of the Ecological Society of America e70023.

  Paper

  

Open data and protocols

• Sentinel Beetles.

  Imageomics Institute, dataset on Hugging Face. Benchmark for the NSF HDR Machine Learning Challenge.

  Dataset

• Hawaii Beetles.

  Rayeed, S. M., M. Khurana, A. East, E. G. Campolongo, et al.

  Imageomics Institute, dataset on Hugging Face. 1,614 images of 14 ground beetle species from the NEON Pu'u Maka'ala site, Hawai'i.

  Dataset

• Beetle Imaging Procedure: standard operating procedure for imaging pinned ground beetles at the NEON Biorepository.

  Imageomics Institute, online protocol.

  Protocol Source

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