A resume lists achievements.
A story explains the journey.
To see a full list of my projects, check out the project section in my LinkedIn profile.
Interactive GIS dashboard for coastal vulnerability assessment using multi-criteria decision-making and probabilistic principal component analysis.
Interactive StoryMap explaining coastal vulnerability methodology and findings for wider public engagement and understanding.
Geospatial analysis for seismic emergency management using ArcGIS Pro to optimize shelter placement in Amatrice, Italy.
Multidisciplinary approach combining geological, photogrammetric, and geophysical methods to investigate rainfall-induced landslides.
Systematic risk assessment study considering hazards, vulnerabilities, and exposure factors for comprehensive valley analysis.
Advanced machine learning techniques applied to remote sensing data for improved environmental monitoring and analysis.
Interactive web application for exploring probability distributions in real-time. Built with Streamlit, this tool allows users to adjust distribution parameters, compare multiple distributions, and visualize mathematical concepts. Perfect for statistics education, data analysis, and understanding probability theory through hands-on experimentation.
Developed a comprehensive pipeline that addresses the challenge of creating high-quality flood datasets for machine learning. The system uses Google Earth Engine to extract flood extents using the SPIDER framework, processing Sentinel-1 SAR imagery to compare pre- and post-event conditions. The Python preprocessing component generates 256x256 pixel image chips with proper georeferencing, creating balanced training datasets for flood detection models.
Built a cloud-based Google Earth Engine application that solves the challenge of calculating land cover percentages across large geographic areas. The tool processes National Land Cover Database (NLCD) data to provide instant calculations for wetlands, forests, developed areas, and other land cover classes at state, county, or tract levels. What previously required hours of ArcGIS Pro processing is now accomplished in minutes through cloud-based computation.
Date: Jan 2025
During the first semester of my PhD at the University of South Carolina, I completed a two-phase project that fulfilled the requirements for two courses: CSCE887 (Machine Learning) and GEOG755 (Remote Sensing and Analysis). This presentation covers the final project for CSCE 885, demonstrating the implementation, results, and key findings of the project. For more details, you can download the full project report below.
Download Project Report (PDF)Date: Dec 2024
In the first semester of my PhD programat University of South Carolina, I took GEOG755: Remote Sensing Modelling and Analysis. One of the assignments was to create a presentation about a topic related to remote sensing. To fullfill this requirement, I recorded a short lecture about Google Earth Engine and how to use it to analyze remote sensing data.
Date: Nov 2024
On September 28, 2024, IBM, in partnership with the University of South Carolina (UofSC), hosted a statewide Call for Code hackathon, followed by a competition where students pitched innovative use cases for IBM’s new tool, Watsonx.ai. In this competition, I presented SafeGuard.ai — a solution designed to assist populations affected by natural disasters by providing essential resources to keep them safe before, during, and after such events. More than 100 students from colleges and universities across South Carolina participated in the event. I was honored to secure 3rd place, earning a $2,500 prize.
Read my LinkedIn post about the event
Read more about the event on UofSC News
Date: Oct 2024
During my first semester as a PhD student at the University of South Carolina, I had the opportunity to present one of our research projects from the Water Resources Management Group. My presentation was selected for an oral session at the SCARC 2024 conference. This recording is a capture of that presentation.
Date: May 2024
As part of my course-based master's degree at the Polytechnic University of Milan (PoliMi), I completed a thesis project that reviewed the applications of deep learning in remote sensing, specifically in the context of disaster management. This presentation summarizes key findings from the literature and discusses how deep learning techniques are advancing the field of disaster response and risk assessment using remote sensing data.
Date: Feb 2023
This class project presentation explores the assessment of landslide risk and the application of geo-engineering techniques to stabilize unstable slopes. The talk covers hazard identification, risk analysis, and practical engineering solutions for mitigating landslide hazards in vulnerable areas.
Date: Jan 2022
This presentation reviews a range of tools and methodologies for effective risk management in engineering projects. It highlights the use of quantitative and qualitative approaches to identify, assess, and mitigate risks, with examples from real-world case studies.
For an up-to-date list of my research and publications, please visit my Google Scholar profile.
South Carolina Department of Transportation (SCDOT) · Columbia, SC · Hybrid
Supervisor: Dr. Sicheng Wang
GEOAPP · Florence, Tuscany, Italy · On-site
Supervisor: Davide Colombo
If you are interested in collaborating on research projects, have inquiries about my work, or would like to discuss professional opportunities, please feel free to reach out through any of the following channels: