Research output per year
Research output per year
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Dive into the research topics where Center for Accelerating Operational Efficiency (CAOE) is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Ronald Askin
- Industrial, Systems and Operations Engineering - Professor
- Knowledge Enterprise (KE) - Professor
- Engineering, Ira A. Fulton Schools of (IAFSE) - Professor
- Center for Accelerating Operational Efficiency (CAOE) - Professor
Person
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Erin Chiou
- Sustainability Initiative - Assistant Professor
- Engineering, Ira A. Fulton Schools of (IAFSE) - Assistant Professor
- Human Systems Engineering (HSE) - Assistant Professor
- Human, Artificial Intelligence, and Robot Teaming, Center for (CHART) - Assistant Professor
- Knowledge Enterprise (KE) - Assistant Professor
- Center for Accelerating Operational Efficiency (CAOE) - Assistant Professor
- Complex System Safety, Center for - Assistant Professor
- Assured and Scalable Data Engineering, Center for (CASCADE) - Assistant Professor
Person
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Adolfo Escobedo
- Sustainability Initiative - Assistant Professor
- Engineering, Ira A. Fulton Schools of (IAFSE) - Assistant Professor
- Industrial, Systems and Operations Engineering - Assistant Professor
- Center for Accelerating Operational Efficiency (CAOE) - Assistant Professor
Person
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Efficient and Secure Federated Learning with Verifiable Weighted Average Aggregation
Yang, Z., Zhou, M., Yu, H., Sinnott, R. O. & Liu, H., Jan 1 2023, In: IEEE Transactions on Network Science and Engineering. 10, 1, p. 205-222 18 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
An axiomatic distance methodology for aggregating multimodal evaluations
Escobedo, A. R., Moreno-Centeno, E. & Yasmin, R., Apr 2022, In: Information Sciences. 590, p. 322-345 24 p.Research output: Contribution to journal › Article › peer-review
Open Access6 Scopus citations -
Annotating Line Charts for Addressing Deception
Fan, A., Ma, Y., Mancenido, M. & MacIejewski, R., Apr 29 2022, CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 80. (Conference on Human Factors in Computing Systems - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access4 Scopus citations
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CAOE Project: Red Teaming the Chemical Weapons Threat Landscape
US Department of Homeland Security (DHS)
9/30/22 → 3/29/24
Project: Research project
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FAI: Towards a Computational Foundation for Fair Network Learning
National Science Foundation (NSF)
1/1/20 → 11/30/23
Project: Research project
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FAI: Towards a Computational Foundation for Fair Network Learning
5/15/20 → 5/14/23
Project: Research project
Datasets
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Supplementary materials for "Decoding alarm signal propagation of seed-harvester ants using automated movement tracking and supervisedmachine learning"
Guo, X. (Creator), Lin, M. R. (Creator), Azizi, A. (Contributor), Saldyt, L. P. (Creator), Kang, Y. (Creator), Pavlic, T. (Creator) & Fewell, J. (Creator), The Royal Society, 2022
DOI: 10.6084/m9.figshare.17708425.v2, https://rs.figshare.com/articles/journal_contribution/Supplementary_materials_for_Decoding_alarm_signal_propagation_of_seed-harvester_ants_using_automated_movement_tracking_and_supervisedmachine_learning_/17708425/2
Dataset
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Supplementary material from "Decoding alarm signal propagation of seed-harvester ants using automated movement tracking and supervised machine learning"
Guo, X. (Creator), Lin, M. R. (Creator), Azizi, A. (Contributor), Saldyt, L. P. (Creator), Kang, Y. (Creator), Pavlic, T. (Creator) & Fewell, J. (Creator), The Royal Society, 2021
DOI: 10.6084/m9.figshare.c.5772172.v1, https://rs.figshare.com/collections/Supplementary_material_from_Decoding_alarm_signal_propagation_of_seed-harvester_ants_using_automated_movement_tracking_and_supervised_machine_learning_/5772172/1
Dataset
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Data from: samc: An R package for connectivity modeling with spatial absorbing Markov chains
Marx, A. (Contributor), Wang, C. (Contributor), Sefair, J. (Contributor), Acevedo, M. (Contributor) & Fletcher, R. (Contributor), Zenodo, Dec 26 2019
DOI: 10.5061/dryad.0k6djh9wk, https://zenodo.org/record/4954653
Dataset