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- Mingxin Lu, Edmund Wong, Daniel Barajas, Xiaochen Li, Mosopefoluwa Ogundipe, Nate Wilson, Pragya Garg, Alark Joshi, and Matthew Malensek. Agami: Scalable Visual Analytics over Multidimensional Data Streams. Proceedings of the 7th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies. 2020.
- Walid Budgaga, Matthew Malensek, Sangmi Lee Pallickara, and Shrideep Pallickara. Concerto: Leveraging Ensembles for Timely, Accurate Model Training Over Voluminous Datasets. Proceedings of the 7th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies. 2020.
- Daniel Rammer, Thilina Buddhika, Matthew Malensek, Shrideep Pallickara, and Sangmi Lee Pallickara. Enabling Fast Exploratory Analyses Over Voluminous Spatiotemporal Data Using Analytical Engines. IEEE Transactions on Big Data.
- Naman Shah, Matthew Malensek, Harshil Shah, Shrideep Pallickara, and Sangmi Lee Pallickara. Scalable Network Analytics for Characterization of Outbreak Influence in Voluminous Epidemiology Datasets. Concurrency and Computation: Practice and Experience 31.7 (October 2019), pp. e4998.