Using Distributed Analytics to Enable Real-Time Exploration of Discrete Event Simulations. - Matthew Malensek; Walid Budgaga; Sangmi Lee Pallickara; Neil Harvey; F. Jay Breidt; Shrideep Pallickara (UCC, 2014)

Predictive analytics using statistical, learning, and ensemble methods to support real-time exploration of discrete event simulations. - Walid Budgaga; Matthew Malensek; Sangmi Lee Pallickara; Neil Harvey; F. Jay Breidt; Shrideep Pallickara (Future Gener. Comput. Syst., 2016)

A framework for scalable real-time anomaly detection over voluminous, geospatial data streams. - Walid Budgaga; Matthew Malensek; Sangmi Lee Pallickara; Shrideep Pallickara (Concurr. Comput. Pract. Exp., 2017)

Alleviating I/O Inefficiencies to Enable Effective Model Training Over Voluminous, High-Dimensional Datasets. - Daniel Rammer; Walid Budgaga; Thilina Buddhika; Shrideep Pallickara; Sangmi Lee Pallickara (IEEE BigData, 2018)

Trident: Distributed Storage, Analysis, and Exploration of Multidimensional Phenomena. - Matthew Malensek; Walid Budgaga; Ryan Stern; Shrideep Pallickara; Sangmi Lee Pallickara (IEEE Trans. Big Data, 2019)

Concerto: Leveraging Ensembles for Timely, Accurate Model Training Over Voluminous Datasets. - Walid Budgaga; Matthew Malensek; Sangmi Lee Pallickara; Shrideep Pallickara (BDCAT, 2020)