Area of research
Oceanography · Industrial and Manufacturing Engineering
Research interest
Research interests include Marine and coastal ecosystems, Water Quality Monitoring and Analysis, Water Quality Monitoring Technologies, and Remote Sensing in Agriculture.
Spatial Transferability and Temporal Repeatability of Water Quality Remote Sensing Inversion Models for Inland Lakes and Rivers
Low-Cost, High-Density Field Water Quality Data Enable High-Accuracy Minimalist Remote Sensing for Local Sustainability and Resilience with Sentinel-2 Multispectral Imager
Mapping river turbidity at a large basin-scale with a spatially transferable ensemble model using Landsat 8 multispectral imagery
Evaluation of historic and operational satellite radar altimetry missions for constructing consistent long-term lake water level records
Implementation Strategy and Spatiotemporal Extensibility of Multipredictor Ensemble Model for Water Quality Parameter Retrieval With Multispectral Remote Sensing Data
Derivation of spatially detailed lentic habitat map and inventory at a basin scale by integrating multispectral Sentinel-2 satellite imagery and USGS Digital Elevation Models
Analysis of Sentinel-3 SAR altimetry waveform retracking algorithms for deriving temporally consistent water levels over ice-covered lakes
Mapping Freshwater Chlorophyll-a Concentrations at a Regional Scale Integrating Multi-Sensor Satellite Observations with Google Earth Engine
Spatio-temporal Cokriging method for assimilating and downscaling multi-scale remote sensing data
Improving Satellite Waveform Altimetry Measurements With a Probabilistic Relaxation Algorithm
Multi-Predictor Ensemble Model for River Turbidity Assessment using Landsat 8 Imagery at a Regional Scale
Regionally and Locally Adaptive Models for Retrieving Chlorophyll-a Concentration in Inland Waters From Remotely Sensed Multispectral and Hyperspectral Imagery
HABSat-1: assessing the feasibility of using CubeSats for the detection of cyanobacterial harmful algal blooms in inland lakes and reservoirs
Mapping Ice Algal Blooms in Southwest Greenland From Space
Collaborative Research: Database and toolbox for characterization of subcellular components in cellular cryo-electron tomograms
CAREER: Cryo-electron tomography derived multiscale integrative modeling of subcellular organization
Data-driven selection of a convex loss function via shape-constrained estimation
Collaborative Research: III: Medium: Systematic De Novo Identification of Macromolecular Complexes in Cryo-Electron Tomography Images
Inferring the Past on Markovian Models of Networks
IIBR Informatics: Reducing the training data annotation cost for learning-based macromolecule identification in cellular electron cryo-tomography
III: Small: Improving automation and speed of macromolecule recognition and localization in cryo-electron tomography using unsupervised deep learning
I-Corps: Chemometric fluorescence microscopic imaging and virtual staining for rapid label-free histopathology
RUI: Cell Growth Laws and Quantitative Microscopy for Cancer Aggressiveness Imaging
RUI: Cell Growth Laws and Quantitative Microscopy for Cancer Aggressiveness Imaging