DISASTER ANALYSIS 

From hurricane prediction to data platform generation, this research brings together timeseries analysis and data fusion—turning scattered signals into actionable insight when disaster strikes. 

This research area focuses on disaster prediction and response through AI-driven approaches. From flood detection and streamflow modeling to timeseries analysis and satellite image interpretation, the work combines deep learning with explainable methods to support timely, data-informed decision-making in critical situations.

• An explainable approach for Understanding Segmentation Satellite Image Predictions.

N Humaira, R. Kienzler, K. Kashwilli, N Hubig

Under Review

• DX-FloodLine: End-To-End Deep Explainable Pipeline for Real Time Flood Scene Object Detection from Multimedia Images

N Humaira, V Samadi, N Hubig

IEEE Access 2023

• An End-to-End Flood Image Label Detection System Using Deep Neural Networks

L Windberger, R Pally, V Samadi, N Hubig, 

Earth and Space Science 2023

• FlowDyn: Global Daily Streamflow Prediction Using Dynamical Deep Neural Network Algorithms 

S Sadegh N Humaira, V Samadi, N Hubig

Journal for Environmental Modelling and Software 2022

• FlowDyn: A Dynamic Web-based Streamflow Prediction Pipeline

N Humaira, S Sadegh, V Samadi, N Hubig

IEEE Big Data 2021

• Flood Informatics: Real Time Flood Level Detection from Multimedia Images and Weather Data

N Humaira, N Hubig, V Samadi

AGU Fall Meeting Abstracts 2020, H140-0008

• An Intelligent Cyberinfrastructure for IoT Sensing, Flood and Storm water Monitoring and Modeling Systems (Intelligent Riverâ Initiative) (2020)

V Samadi, C Post, C Sawyer, C Privette III, N Hubig

AGU Fall Meeting Abstracts 2020, H177-02

• Detection and Prediction of Natural Hazards Using Large-Scale Environmental Data (2017)

N Hubig, P Fengler, A Züfle, R Yang, S Günnemann

International Symposium on Spatial and Temporal Databases, 300-316

• Continuous probabilistic sum queries in wireless sensor networks with ranges (2012)

N Hubig, A Züfle, T Emrich, MA Nascimento, M Renz, HP Kriegel

International Conference on Scientific and Statistical Database Management 

• Monitoring Probabilistic Threshold SUM Query Processing in Uncertain Streams (2014)

N Hubig, A Züfle, T Emrich, M Renz, MA Nascimento, HP Kriegel

International Conference on Database Systems for Advanced Applications, 420-435