Knowledge Graphs & LLM QA
Knowledge bases, retrieval and LLM question answering over fragmented disaster data.
- 2021
Evaluating the Relevance of UMLS Knowledge Base for Public Health Informatics during Disasters
Only 16% of UMLS concepts relevant for disaster-health terms; 33% of terms missing
ISCRAM · First author -
Towards a Design of Resilience Data Repository for Community Resilience
Practitioner survey (n=35) informs a community-resilience data repository architecture
ISCRAM · Co-author - 2023
A Comparative Study of Pre-trained Language Models to Filter Informative Code-mixed Data on Social Media during Disasters
First Persian–English code-mixed crisis dataset; mBERT best (F1 72%)
ISCRAM · Co-author -
Summarizing Social Media & News Streams for Crisis-related Events by Integrated Content-Graph Analysis: TREC-2023 CrisisFACTS Track
Fact extraction + query-extended filtering + graph centrality ranking of crisis facts
TREC · Co-author - 2026
Critical Evaluation of Knowledge Graph-powered Question Answering Systems to Enable Responsible AI for Disaster Management
Venezuela-quake KG-QA: fluent, "grounded" answers mask wrong routing — evaluate the pipeline
LT4CPR @ AACL · Co-author -
Data Fragmentation as a Critical Bottleneck in Disaster Response Planning: The EVAC-AI Case Study for Flood Risk Assessment
Neo4j KG of FEMA/NOAA/city/Waze data + local-LLM NL→Cypher chatbot-map
AAAI Fall Symposium · Co-author