Sergey Frolov Postdoctoral Researcher NSF Science and Technology Center for Coastal Margin Observation and Prediction Located at: Department of Environmental and Bimolecular Systems OGI School of Science and Engineering at Oregon Health & Science University E-mail: f r o l o v s -at- e b s -dot- o g i -dot- e d u S-mail: 20000 NW Walker Rd., Beaverton, OR. 97006, USA. Office: 7016 Cooley Science Building Phone: (503) 748-4077 - office

Full CV    Education   Research   Publications   Software

Education

Postdoctoral Researcher:
    NSF Science and Technology Center for Coastal Margin Observation and Prediction, Portland, Oregon; Sept 2007-present.
    Advisor: António M. Baptista.

Ph.D.: Environmental Science and Engineering
    OGI School of Science & Engineering - Oregon Health & Science University, Portland, Oregon; 2001-2007.
    Advisor: António M. Baptista.

M.Sc.: Environmental Science and Policy
    Central European University, (Budapest, Hungary), 2000.

M.Sc.: Radioecology
    International Sakharov Environmental University, (Minsk, Belarus), 1994-1999.

Research Interests

I am currently pursuing my Ph.D. under the supervision of Antonio Baptista at the NSF-STC for Coastal Margin Observation and Prediction. I also work extensively with computer scientists from the Adaptive Systems Laboratory.

My research interests are:

• Environmental Observatories – Using observations and models of the environment to enhance the understanding of and to improve the management of environmental systems. My current focus is on the observatory for the Columbia River estuary and plume.

• Data Assimilation – Estimating the state of the environment using uncertain models and data. I am especially interested in estimating parameters of the ocean that are hard to observe directly, such as the size of the Columbia River plume and the thickness of the Arctic sea ice.

• Optimal Sampling – Developing strategies for optimal sampling of ocean processes that can exploit synergies between different measurement types and platforms (e.g., gliders, buoys, satellites, and coastal radars).

• Machine Learning – Application of machine learning methods to build faster, more accurate models of the environment. Such applications include dimension reduction, recurrent neural networks, and sigma point Kalman filter for data assimilation in the Columbia River.

Publications

Publications and Manuscripts

• Frolov, S., A.M. Baptista, M. Wilkin, (conditionally accepted). Optimizing Placement of Fixed Observational Sensors in a Coastal Observatory, Continental Shelf Research. (pdf)

• Frolov, S., A. M. Baptista, Y. Zhang, C. Seaton, (conditionally accepted). Estimation of Ecologically Significant Circulation Features of the Columbia River Estuary and Plume Using a Reduced-Dimension Kalman Filter, Continental Shelf Research.

• Frolov, S., Z. Lu, R. van der Merwe, T.K. Leen, and A.M. Baptista, (conditionally accepted). Fast Data Assimilation Using a Nonlinear Kalman Filter and a Model Surrogate: an Application to the Columbia River Estuary, Dynamics of Atmospheres and Oceans. (pdf)

•  Lu, Z., T.K. Leen, R. van der Merwe, S. Frolov, and A.M. Baptista (conditionally accepted) Sequential Data Assimilation with Sigma-Point Kalman Filter on Low-Dimensional Manifold, Ocean Modeling. (pdf)
• van der Merwe, R., Leen, T. K., Lu, Z., Frolov, S., and Baptista, A. M. (2007), "Fast Neural Network Surrogates for Very High Dimensional Physics-Based Models in Computational Oceanography," Neural Networks, 20, 462-478. (pdf)

Selected Conference Publications and Presentations

• Frolov, S., Baptista, A. M., and Wilkin, M. (2008), "Optimal, Model-Based Design of a Coastal-Margin Observatory: Lessons Learned from the Columbia River Estuary and Plume," in AGU Ocean Science Meeting, Orlando, FL. (pdf)

• Frolov, S., Baptista, A. M., Leen, T. K., van der Merwe, R., and Lu, Z. (2007), Data Assimilation with a Reduced-Dimensionality Model in a Coastal Observatory, in Workshop on Data Assimilation in Support of Coastal Ocean Observing Systems, Corvallis, OR. (pdf)

• Frolov, S., A.M. Baptista, T. Leen, Z. Lu, R. van der Merwe (2006), Assimilating in-situ Measurements into a Reduced-Dimensionality Model of an Estuary- Plume System, in Eos Trans. AGU, 87(52), Fall Meet. Suppl., Abstract A31A-0846, San-Francisco, CA. (pdf)

• Frolov, S., Z. Lu, R. van der Merwe, T.K. Leen, and A.M. Baptista, (2006). Fast and Model-Independent Data Assimilation of Estuarine Circulation, Using Neural Networks, in Eos Trans. AGU, 87(36), Ocean Sci. Meet. Suppl., Abstract OS26O-06, Honolulu, HI. (pdf)

• Frolov, S., A.M. Baptista, and T.K. Leen, (2004). Calibration of Spatio-Temporal-Varying Bottom Drag in an Estuary with Multiple Dynamical and Error Regimes, in AGU Ocean Science Meeting 2004, Eos. Trans. 84(52), Portland, OR. (ppt)

• Frolov, S. (August 2007). Doctoral thesis: Enabling Technologies for Data Assimilation in a Coastal-Margin Observatory.
  (Thesis committee: A.M. Baptista, M. Foreman, J. Kindle, T. Leen, and R. Miller) (abstract) (pdf).

• Frolov, S. (2000). Master thesis: Development of Pollutant Release and Transfer Registers: Case Study of Hungary as a Country of Central and Eastern Europe.

• Frolov, S. (1999). Master thesis: Development of the Rules for Environmental Liability Insurance System, Methodological and Software Support in Case of Extra-Poisonous Toxic Releases.

Subject:

• Enabling technologies for data assimilation in coastal observatories: this is a vration of the thesis talk, given at NRL-Stennis on March 2008

• Optimal, model-based design of a coastal-margin observatory: talk given at AGU-Oceans 2008

• Model surrogates: upcoming

Chronological:

• 2008: MBARI, NRL-Stennis, OSU-COAS

• 2007: Ph.D. Thesis defense, NASA-JPL

Software