Hyperspectral image classification incorporating bacterial foraging-optimized spectral weighting. - Ankush Chakrabarty; Olivia Choudhury; Pallab Sarkar; Avishek Paul; Debarghya Sarkar (Artif. Intell. Res., 2012)

Accelerating Comparative Genomics Workflows in a Distributed Environment with Optimized Data Partitioning. - Olivia Choudhury; Nicholas L. Hazekamp; Douglas Thain; Scott J. Emrich (CCGRID, 2014)

Expanding Tasks of Logical Workflows Into Independent Workflows for Improved Scalability. - Nicholas L. Hazekamp; Olivia Choudhury; Sandra Gesing; Scott J. Emrich; Douglas Thain (CCGRID, 2014)

Balancing Thread-Level and Task-Level Parallelism for Data-Intensive Workloads on Clusters and Clouds. - Olivia Choudhury; Dinesh Rajan; Nicholas L. Hazekamp; Sandra Gesing; Douglas Thain; Scott J. Emrich (CLUSTER, 2015)

Scaling Up Bioinformatics Workflows with Dynamic Job Expansion: A Case Study Using Galaxy and Makeflow. - Nicholas L. Hazekamp; Joseph Sarro; Olivia Choudhury; Sandra Gesing; Scott J. Emrich; Douglas Thain (e-Science, 2015)

Accelerating Comparative Genomics Work ows in a Distributed Environment with Optimized Data Partitioning and Workflow Fusion. - Olivia Choudhury; Nicholas L. Hazekamp; Douglas Thain; Scott J. Emrich (Scalable Comput. Pract. Exp., 2015)

HAPI-Gen: Highly Accurate Phasing and Imputation of Genotype Data. - Olivia Choudhury; Ankush Chakrabarty; Scott J. Emrich (BCB, 2016)

Auto-Generation of Smart Contracts from Domain-Specific Ontologies and Semantic Rules. - Olivia Choudhury; Nolan Rudolph; Issa Sylla; Noor Fairoza; Amar Das (iThings/GreenCom/CPSCom/SmartData, 2018)

Combining Static and Dynamic Storage Management for Data Intensive Scientific Workflows. - Nicholas L. Hazekamp; Nathaniel Kremer-Herman; Benjamín Tovar; Haiyan Meng; Olivia Choudhury; Scott J. Emrich; Douglas Thain (IEEE Trans. Parallel Distributed Syst., 2018)

Predicting Adverse Drug Reactions on Distributed Health Data using Federated Learning. - Olivia Choudhury; Yoonyoung Park; Theodoros Salonidis; Aris Gkoulalas-Divanis; Issa Sylla; Amar Das (AMIA, 2019)

A Blockchain Framework for Ensuring Data Quality in Multi-Organizational Clinical Trials. - Olivia Choudhury; Issa Sylla; Noor Fairoza; Amar Das (ICHI, 2019)

A Blockchain Framework for Managing and Monitoring Data in Multi-Site Clinical Trials. - Olivia Choudhury; Noor Fairoza; Issa Sylla; Amar Das (CoRR, 2019)

Differential Privacy-enabled Federated Learning for Sensitive Health Data. - Olivia Choudhury; Aris Gkoulalas-Divanis; Theodoros Salonidis; Issa Sylla; Yoonyoung Park; Grace Hsu; Amar Das (CoRR, 2019)

Highly Accurate and Efficient Data-Driven Methods for Genotype Imputation. - Olivia Choudhury; Ankush Chakrabarty; Scott J. Emrich (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

A Syntactic Approach for Privacy-Preserving Federated Learning. - Olivia Choudhury; Aris Gkoulalas-Divanis; Theodoros Salonidis; Issa Sylla; Yoonyoung Park; Grace Hsu; Amar Das (ECAI, 2020)

Anonymizing Data for Privacy-Preserving Federated Learning. - Olivia Choudhury; Aris Gkoulalas-Divanis; Theodoros Salonidis; Issa Sylla; Yoonyoung Park; Grace Hsu; Amar Das (CoRR, 2020)

Federated Learning on Heterogenous Data using Chest CT. - Edward H. Lee; Brendan Kelly; Emre Altinmakas; Hakan Dogan; Errol Colak; Steve Fu; Olivia Choudhury; Ujjwal Ratan; Felipe Kitamura; Hernan Chaves; Mourad Said; Eduardo Pontes Reis; et al. (CoRR, 2023)

Approximate, Adapt, Anonymize (3A): a Framework for Privacy Preserving Training Data Release for Machine Learning. - Tamas Madl; Weijie Xu; Olivia Choudhury; Matthew Howard (CoRR, 2023)