Ph.D student, UC Berkeley
UC Berkeley - University of California, Berkeley
MS, Systems Engineering, Univ. of California, Berkeley, 2012
I research novel wireless sensor networks, network optimization, and machine learning for large data sets. I am especially interested in how large wireless networks can be used to supplement traditional modeling techniques in the face of model uncertainty. At the SSCZO, I am currently helping to deploy a large wireless sensor network to study snowmelt and other hydrologic process at finer spatial and temporal resolutions than were previously achievable. Previously I have designed and deployed large fleets of autonomously controlled Lagrangian sensors for use in rivers and estuaries through the NSF CiBER-IGERT traineeship. (float.berkeley.edu, ciber.berkeley.edu/IGERT/)
CZO Research Groups
Optimizing embedded sensor network design for catchment scale snowdepth estimation using LiDAR and machine learning. Oroza, C.A., Zheng, Z., Glaser, S.D., Tuia, D., Bales, R.C. (2016): Water Resources Research. 52 (10), 8174.
Papers and books that explicitly acknowledge a CZO grant are highlighted in PALE ORANGE.
Spatial Variability of Soil-Water Storage in the Southern Sierra Critical Zone Observatory: Measurement and Prediction. Oroza, C.; Bales, R. C.; Zheng, Z.; Glaser, S. D. (2017): Fall Meeting, American Geophysical Union, December 2017. Abstract H41G-1539.
Optimizing placements of ground-based snow sensors for areal snow cover estimation using a machine-learning algorithm and melt-season snow-LiDAR data. Oroza, C.; Zheng, Z.; Glaser, S.D.; Bales, R.C.; Conklin, M.H. (2016): Fall Meeting, American Geophysical Union, December 2016. Abstract C44A-08.
In-situ monitoring of California’s drought: Impacts on key hydrologic variables in the Southern Sierra Nevada. Oroza, C., Zheng, Z., Zhang, Z., Glaser, S., Bales, R., Conklin, M. (2015): EP53A Earth and Planetary Surface Processes: General Contribution Posters, presented at 2015 Fall Meeting, AGU, San Francisco, CA, 14-18 Dec.
Optimization methods for multi-scale sampling of soil moisture and snow in the Southern Sierra Nevada . Oroza, C., Zheng, Z., Zhang, Z., Glaser, S., Bales, R., Conklin, M. (2015): H42B Hot Spots and Hot Moments at System Interfaces: Novel Sensors and Modeling Approaches for Transforming Understanding of Catchment Heterogeneity I, presented at 2015 Fall Meeting, AGU, San Francisco, CA, 14-18 Dec.
Optimization of Sensor Placements Using Machine Learning and LIDAR data: a Case Study for a Snow Monitoring Network in the Sierra Nevada. Oroza, C, Zheng, Z, Glaser S, Bales, R (2014): American Geophysical Union, Fall Meeting 2014, abstract #C43D-0412
Developing a robust wireless sensor network structure for environmental sensing. Zhang, Z., C. Oroza, S.D. Glaser, R.C. Bales and M.H. Conklin. (2013): American Geophysical Union, Fall Meeting 2013, abstract #C41B-0630
23 Mar 2016 - Snow days may hold some people back from going to work or school. But for Southern Sierra Critical Zone Observatory researchers and staff, traveling...