My passion areas and technical specializations
Creating detailed three-dimensional terrain models from LiDAR data for engineering analysis, visualization, and decision-making. Specializing in high-resolution digital elevation models and surface representations.
Applying machine learning and statistical methods to geotechnical data for predictive modeling, pattern recognition, and automated analysis. Focus on neural networks for spatial data analysis.
Building interactive web applications with modern frameworks like React, Vue, and Three.js. Creating responsive, user-friendly interfaces for complex data visualization and analysis tools.
Advanced processing and analysis of massive point cloud datasets for engineering applications. Expertise in filtering, classification, feature extraction, and change detection algorithms.
Exploring new methodologies at the intersection of geotechnical engineering and data science. Contributing to academic research and industry innovations in spatial data analysis.
Integrating geospatial analysis with engineering workflows for comprehensive site assessment. Proficient in ArcGIS, QGIS, and custom geospatial data processing tools.
Transforming complex datasets into intuitive, interactive visualizations. Using D3.js, Plotly, and custom WebGL solutions to make data accessible and actionable.
Developing automated workflows and custom scripts to streamline engineering processes. Expertise in Python, JavaScript, and bash scripting for data processing pipelines.
Applying advanced analysis techniques to infrastructure projects. Focus on sustainable design, risk assessment, and optimization of geotechnical solutions for complex projects.
I'm continuously expanding my knowledge in emerging technologies and methodologies. Currently exploring deep learning applications for geotechnical risk assessment, real-time point cloud streaming for collaborative engineering, and advanced WebGPU techniques for high-performance data visualization.
Future areas of interest include integrating IoT sensor data with traditional geotechnical monitoring, developing augmented reality tools for field investigations, and exploring quantum computing applications for complex numerical modeling.