Shrideep Pallickara

Shrideep Pallickara is a Professor in the Department of Computer Science at Colorado State University, where he also directs the Center for eXascale Spatial Data Analytics and Computing (XSD). His research is funded by the National Science Foundation, Department of Homeland Security, Environmental Protection Agency, Department of Agriculture, and the UK's e-Science program.

Research Interests: His research lies at the intersection of machine learning and large-scale systems, focusing on:

• Spatiotemporal data management and analytics
• Extreme-scale storage systems
• Stream processing for IoT and cyber-physical systems
• Deep learning over petabyte-scale, high-dimensional datasets
• Model construction for forecasting natural and urban phenomena

His work addresses challenges in computational tractability, resource utilization, and convergence in distributed environments. Systems developed in his lab are deployed in domains such as urban sustainability, agriculture, epidemiology, environmental monitoring, healthcare, and defense.

Research Trends in Publications: His recent publications demonstrate a strong focus on scalable analytics for geospatial and environmental data. Key themes include deep learning for soil moisture and salinity prediction, efficient visualization of massive satellite datasets, spatiotemporal search and summarization, and model performance profiling across spatial domains. The work integrates scientific domain knowledge with machine learning and systems innovation.

Scientific Awards:

• NSF CAREER Award
• Board of Governors Award for Excellence in Undergraduate Teaching
• OLIE Award
• N. Preston Davis Award
• Monfort Professorship
• Best Paper Award at IEEE/ACM CCGrid 2019
• Best Paper Award at BDCAT 2023
• Best Paper Award at IEEE Cluster 2012
• Best Student Paper Award at IEEE CloudCom 2010
• Shortlisted for ACM DEBS-2015 Grand Challenge Award
• One of the Six Best Papers at ACM/IEEE GRID 2005

Advising and Grants: He advises numerous graduate students, many of whom are co-authors on his publications. His research is supported by major grants from NSF, DHS, EPA, USDA, and UK e-Science, enabling the development of open-source systems such as Granules, NaradaBrokering, Galileo, Funnel, and Spindle.

Labs and Teams: He leads the XSD Center, which develops and maintains large-scale open-source software systems involving over 2500 classes and a million lines of code. These systems are used in academic, commercial, and defense applications.