Publications

  • Jonathan Beard (date unknown). Mobile phone based drifting Lagrangian flow sensors. in IEEE 3rd International Conference on Networked Embedded Systems for Every Application (NESEA). Accepted, .
  • Keoma Brun-Laguna (date unknown). Sierranet: monitoring the snowpack in the Sierra Nevada: demo. Proceedings of the Eleventh ACM Workshop on Challenged Networks. Accepted, .
  • Keoma Brun-Laguna (date unknown). Sol: An end-to-end solution for real-world remote monitoring systems. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). Accepted, .
  • Jiada Li (date unknown). Exploring the potential for simulating system-level controlled smart stormwater system. ASCE. Accepted, .
  • Haruko Wainwright (date unknown). Optimizing Long-term Monitoring of Radiation Air Dose Rates. WM Symposia. Accepted, .
  • Carlos A. Oroza (date unknown). A machine-learning based connectivity model for complex terrain large-scale low-power wireless deployments. IEEE Transactions on Cognitive Communications and Networking. Accepted, .
  • Francesco Avanzi (date unknown). Insights into preferential-flow snowpack runoff using Random Forest. Water Resources Research. Accepted, .
  • Sami A. Malek (date unknown). Real-time alpine measurement system using wireless sensor networks. Sensors. Accepted, .
  • Roger C. Bales (date unknown). Spatially distributed water-balance and meteorological data from the rain-snow transition, southern Sierra Nevada, California. Earth Syst. Sci. Data Discuss. Accepted, .
  • Herbert, Z. C (date unknown). Long-term reservoir inflow forecasts: Enhanced water supply and inflow volume accuracy using deep learning. Journal of Hydrology. Accepted, .
  • Carlos A. Oroza (date unknown). Optimizing embedded sensor network design for catchment-scale snow-depth estimation using LIDAR and machine learning. Water Resources Research. Accepted, .
  • Zeshi Zheng (date unknown). Spatial snow water equivalent estimation for mountainous areas using wireless-sensor networks and remote-sensing products. Remote Sensing of Environment. Accepted, .
  • Andrew Tinka (date unknown). Heterogeneous fleets of active and passive floating sensors for river studies. Journal of Field Robotics. Accepted, .
  • Maurer, T. (date unknown). Optimizing spatial distribution of watershed-scale hydrologic models using Gaussian Mixture Models. Environmental Modelling & Software. Accepted, .
  • Ahmed, W., (date unknown). Modelling Groundwater Hydraulics to Design a Groundwater Level Monitoring Network for Sustainable Management of Fresh Groundwater Lens in Lower Indus Basin, Pakistan. Applied Sciences. Accepted, .
  • Carlos A. Oroza (date unknown). Long-term variability of soil moisture in the Southern Sierra: Measurement and prediction. Vadose Zone Jornal. Accepted, .
  • Johnson, R. C (date unknown). Drought in the West: Embedded Water Demand Stationarity Compromises System Vulnerability Analysis. Open Water Journal. Accepted, .
  • Oroza, C. A (date unknown). Wireless-Sensor Network Topology Optimization in Complex Terrain: A Bayesian Approach. IEEE Internet of Things Journal. Accepted, .
  • Sun D, Wainwright HM, Oroza CA, Seki A, Mikami S, Takemiya H, Saito K (date unknown). Optimizing long-term monitoring of radiation air-dose rates after the Fukushima Daiichi Nuclear Power Plant. Journal of environmental radioactivity. Vol. 220-221, 106281. Accepted, .
  • David E. Rheinheimer (date unknown). Valuing year-to-go hydrologic forecast improvements for a peaking hydropower system in the Sierra Nevada. Water Resources Research. Accepted, .
  • Carlos A. Oroza (date unknown). Design of a network of robotic Lagrangian sensors for shallow water environments with case studies for multiple applications. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2013. Accepted, .

Research Statement

My present research is focused on how large-scale, low-power sensor networks, machine learning, data-driven optimization methods, and remote sensing can be combined to address critical societal needs, such as improving water-resources management and mitigating the effects of natural and man-made disasters. I am also interested in how data from large-scale sensor networks can be used to better inform the scientific research community and resource-management agencies.

Research Keywords

  • Down Syndrome
  • Education or Instruction (Health or Safety or Medical)
  • Military Personnel Equipment

Presentations

  • Towards real-time water resources monitoring in the Western US with wireless-sensor networks and citizen science. Utah State University. , Presented, 2021.
  • C. Oroza, Z. Zheng, Z. Zhang, S. Glaser, R. Bales, and M. Conklin,“In-situ monitoring of California’s drought: Impacts on key hydrologic variables in the Southern Sierra Nevada (invited),” in 2015 AGU Fall Meeting, AGU, 2015. , Presented, 2015.
  • C. Oroza, Z. Zheng, Z. Zhang, S. Glaser, R. Bales, and M. Conklin, “Optimization methods for multi-scale sampling of soil moisture and snow in the Southern Sierra Nevada (invited),” in 2015 AGU Fall Meeting, AGU, 2015. , Presented, 2015.
  • Liljestrand, D., Oroza, C., Neilson, B. T., Strong, P., & Cotter, E. (2021, December). Leveraging LIDAR, Machine Learning, and Citizen-Science for Low-Cost, High-Resolution Snow-Depth Estimation. In AGU Fall Meeting 2021. AGU. Other, Presented, 2021.
  • Johnson, R., Oroza, C., Moodie, N., & Jia, W. (2021, December). Quantifying the performance of a machine learning surrogate model for CO2 saturation and pressure forecasts for dedicated CO2 storage. In AGU Fall Meeting 2021. AGU. Other, Presented, 2021.
  • Cotter, E., Wainwright, H. M., & Oroza, C. (2020, December). Simultaneous optimization of snow and soil sensor locations using machine learning in East River, Colorado. In AGU Fall Meeting Abstracts (Vol. 2020, pp. H049-05). Other, Presented, 2020.
  • Zeeshan Asghar, Carlos A. Oroza, Sally E Thompson, Xue Feng, Gabrielle F.S. Boisrame, Ram L Ray, Mckenzie Skiles, and Roger C Bales. Toward a process-based understanding of precipitation-phase impacts on streamflow. AGU Fall Meeting 2019. Other, Presented, 2019.
  • Zulfiqar Ali, Waqas Ahmed, Carlos Anthony Oroza, Dr. Abdul Latif Qureshi. Evaluation of an existing groundwater monitoring network in Dad division, district Shaheed Benazir Abad, Lower Indus basin. Other, Submitted, 2019.
  • Jiada Li, Steven Burian, Zachary J. Bortolot, Carlos A. Oroza.'' Tracking Historical Land-use Cover Change in Urban Drainage Catchments Using: Random Forest and Support Vector Machine.'' 2019 CUAHSI Conference on Hydroinformatics. Other, Presented, 2019.
  • The future of water availability in the Western US: Developing in-situ sensing technologies for hypothesis testing. The University of Oregon. Other, Presented, 2019.
  • Maurer, Tessa, Francesco Avanzi, Carlos Oroza, Sami Andrew Malek, Steven D. Glaser, Roger C. Bales, and Martha H. Conklin. "Using wireless sensor networks to improve understanding of rain-on-snow events across the Sierra Nevada." In AGU Fall Meeting Abstracts. 2017. Other, Presented, 2017.
  • Oroza, Carlos, Roger C. Bales, Zeshi Zheng, and Steven D. Glaser. "Spatial Variability of Soil-Water Storage in the Southern Sierra Critical Zone Observatory: Measurement and Prediction." In AGU Fall Meeting Abstracts. 2017. Other, Presented, 2017.
  • C. Oroza, Z. Zheng, S. Glaser, R. Bales, and M. Conklin, “Optimization of sensor placements using machine learning and LIDAR data: a case study for a snow monitoring network in the Sierra Nevada,” in AGU Fall Meeting Abstracts, vol. 1, p. 0412, 2014. Other, Presented, 2014.
  • Z. Zhang, C. Oroza, S. Glaser, R. Bales, and M. Conklin, “Developing a robust wireless sensor network structure for environmental sensing,” in AGU Fall Meeting Abstracts, vol. 1, p. 0630, 2013. Other, Presented, 2013.
  • B. Kerkez, Z. Zhang, C. Oroza, S. Glaser, and R. Bales, “Connecting the snowpack to the internet of things: an IPv6 architecture for providing real-time measurements of hydrologic systems,” in AGU Fall Meeting Abstracts, vol. 1, p. 07, 2012. Other, Presented, 2012.

Geographical Regions of Interest

  • Japan
  • Pakistan
  • United States