Sangmi Pallickara is a Cochran Family Professor and an Associate Professor in the Computer Science Department at Colorado State University. Pallickara’s research interests are in the area of Big Data for the sciences with an emphasis on issues related to predictive analytics, storage, retrievals, and metadata management. She is the Associate Editor of the IEEE Transactions on Parallel and Distributed Systems and serves on the editorial board of the Journal of Big Data, Springer. She is a recipient of the IEEE TCSC Award for Excellence in Scalable Computing (Mid-Career) and the National Science Foundation’s CAREER award.
Allan Andales is a Professor of Irrigation and Water Science in the Department of Soil and Crop Sciences. He is an Agricultural Engineer focused on conserving soil and water resources in agricultural systems. He applies principles of soil and water engineering, environmental biophysics, and numerical methods to study the effects of management practices and environmental factors on field hydrology and agricultural production. Experimental data are used to develop computer models and decision support tools that can improve agricultural water use efficiency and water quality. As an Extension Specialist, Andales engages the public in addressing agricultural water issues in Colorado.
Dr. Gabriel Senay is a Research Physical Scientist with U.S. Geological Survey Earth Resources Observation and Science Center. Gabriel’s background is in agricultural engineering, hydrology, and remote sensing. He is co-located with the North Central Climate Adaptation Science Center in Fort Collins, Colorado and maintains a Faculty Affiliate Status with Colorado State University and Adjunct Professor position with South Dakota State University where he taught a graduate course “remote sensing of water resources.” Gabriel conducts applied research on water use/availability assessment and monitoring using satellite-derived data and hydrologic modeling. He earned a B.Sc. in Agricultural Engineering from Alemaya University, Ethiopia; MSc in Hydrology from Wageningen University, The Netherlands; and a Ph.D. from The Ohio State University, Columbus, Ohio, USA.
Jay Breidt, Professor of Statistics at Colorado State University, is an expert in survey sampling, time series, nonparametric regression, and uncertainty quantification for complex scientific models. Breidt has been an associate editor for eight journals and reviews editor for Journal of the American Statistical Association and The American Statistician. He has served on six review committees for the National Academy of Sciences. He is past Chair of the American Statistical Association National Committee on Energy Statistics, has served two terms on the Federal Economic Statistics Advisory Committee, and is currently a member of the Census Scientific Advisory Committee. Breidt has been recognized with a national prize in environmental statistics and elected membership in the International Statistical Institute. He is an elected Fellow of the American Statistical Association and an elected Fellow of the Institute of Mathematical Statistics.
Shrideep Pallickara is a Professor of Computer Science at Colorado State University. Pallickara’s research encompasses methodological and algorithmic innovations in three broad areas: (1) spatiotemporal data management and analytics, (2) file systems, and (3) stream processing for Internet-of-Things and Cyber Physical Systems settings. Systems software resulting from these research efforts have been deployed in domains such as brain computer interfaces, epidemiology, earthquake science, environmental and ecological monitoring, health care systems, high energy physics, defense applications, geosciences, GIS, and commercial internet conferencing systems. Pallickara is a recipient of the Monfort Professorship and the National Science Foundation’s CAREER award.
Students
Paahuni Khandelwal is pursuing her Ph.D. in Computer Science at Colorado State University. She completed her bachelor’s degree in Computer Science from Delhi University, India. Her research interests are in analyzing satellite imagery and developing efficient time-series prediction models to improve spatio-temporal resolution of surface reflectance values of various satellite sensors across different bands.
Samuel Armstrong is pursuing his Ph.D. in Computer Science. His research interests are in the area of Big Data with a focus on advanced neural network architectures, predictive analytics, and high-performance distributed systems.In particular, his efforts focus on the development of Generative Adversarial Networks that are scalable, use state-of-the-art training methods, and learn from data in real time.
Saptashwa is pursuing his Ph.D. in. Computer Science at Colorado State University. His research has focused on supporting visualization at scale over spatiotemporal datasets.
Daniel Rammer is pursuing his Ph.D. in Computer Science at Colorado State University. His work on the Sustain project targets analytics over data sketches. In particular, this includes support for constructs such as RDDs, DataFrames, and Datasets that span multiple machines to facilitate high-performance analyses. He is also interested in supporting data wrangling operations over satellite data with diverse coordinate projection systems.
Dhruv is pursuing his Master’s in Computer Science at Colorado State University.
Thomas Lujan is a Senior at Colorado State University pursuing degrees in Computer Science and Applied Mathematics. His areas of interest include Natural Language Processing and Distributed Machine Learning.
Ellie Martinez is a sophomore at Colorado State University pursuing a degree in Data Science.