hazard-mapping

A portfolio of Big Data, GIS–GeoAI, machine learning, spatial epidemiology, public health analytics, and cloud/security engineering workflows.

AI-powered dam-break flood prediction & digital twin for hydrodynamic simulation, satellite-validated flood mapping, and real-time evacuation planning. Built with React, FastAPI, PostGIS & Google Earth Engine for Smart India Hackathon 2026 (SIH26161) uncertainty-aware disaster response for Indian rivers.

IX-HapticSight: open safety authority for AI-controlled robots/XR. RGB-D perception→3D hazards→ALLOW/MODIFY/DENY physical action, with consent, force/tactile/proximity/thermal gating, ROS2 control, recovery, WebXR, replayable evidence & 183 tested checks. MIT + Responsible Use.

GIS-based landslide susceptibility mapping and interactive WebGIS for Sondrio, Italy.

Vanuatu Multi-Hazard Land Suitability System — AI-powered geospatial DSS for the Government of Vanuatu

Typhoon - donnees climatiques par batiment pour les assureurs francais: aleas Georisques + vulnerabilite BDNB, provenance par fait, simulation de scenarios TRI sur carte 3D.

Course assignment (Assignment 5, Course 24S796912 'Disaster Risk Management with Geoanalytics', Dept. of Geoinformatics, University of Salzburg): economic assessment of landslide risk for the Waidhofen a.d. Ybbs region, Alpine Foreland, Lower Austria (Lemenkova, 2024).

Course assignment (Course 24S796912 'Disaster Risk Management with Geoanalytics', Dept. of Geoinformatics, University of Salzburg): flood hazard and natural risk assessment, a case study of Bangladesh (Lemenkova, 2024).

Geological hazard warning system (landslide / debris-flow / rockfall / ground-collapse) — GIS one-map + ML microservice, local single-machine demo. Apache-2.0.

Explainable hazard risk, capacity-constrained relocation prioritisation, and GIS decision-support MVP for district disaster-management officials (React + TypeScript + FastAPI + PostGIS)