Matthew Malensek

Matthew Malensek received his PhD in computer science from Colorado State University. His research interests are centered around systems approaches to data science, with a focus on scalable analytics, storage and management of voluminous data streams, and cloud/edge computing. These projects span domains such as atmospheric science, epidemiology, and geographic information systems.

• Big Data
• Data Science
• Distributed Systems
• Cloud Computing

• PhD, Computer Science, Colorado State University

• Best Paper Award, IEEE/ACM Symposium on Big Data Computing 2014
• Best Paper Award, IEEE/ACM Conference on Utility and Cloud Computing 2012

• Malensek, M., Pallickara, S.L. and Pallickara, S. (2017). "Hermes: Federating Fog and Cloud Nodes to Support Query Evaluations in Continuous Sensing Environments." IEEE Cloud Computing, 4(2), 54-62. DOI: 10.1109/MCC.2017.26
• Malensek, M., Pallickara, S.L. and Pallickara, S. (2017). "Fast, Ad Hoc Query Evaluations over Multidimensional Geospatial Datasets." IEEE Transactions on Cloud Computing, 5(1), 28-42. DOI: 10.1109/TCC.2015.2398437
• Malensek, M., Pallickara, S.L. and Pallickara, S. (2016). "Analytic Queries over Geospatial Time-Series Data Using Distributed Hash Tables." IEEE Transactions on Knowledge and Data Engineering, 28(6), 1408-1422. DOI: 10.1109/TKDE.2016.2520475
• Malensek, M., Pallickara, S.L. and Pallickara, S. (2016). "Minerva: Proactive Disk Scheduling for QoS in Multitier, Multitenant Cloud Environments." IEEE Internet Computing, 20(3), 19-27. DOI: 10.1109/MIC.2016.48
• Malensek, M., Pallickara, S.L. and Pallickara, S. (2013). "Exploiting Geospatial and Chronological Characteristics in Data Streams to Enable Efficient Storage and Retrievals." Future Generation Computer Systems, 29(4), 1049-1061. DOI: 10.1016/j.future.2012.05.024