# overview
Dr. Zhang's primary research area is Geographic Information Science and within it, a focus on Cyberinfrastructure, knowledge-driven spatial decision-making, spatial uncertainty modeling, human-centered Geospatial Artificial Intelligence, and social sensing. Dr. Zhang's research aims to develop scalable, sustainable, and intelligent decision support systems to advance spatial knowledge discovery in various application domains such as disaster resilience, critical infrastructure protection, agricultural risk management, and public health surveillance.

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Multilayer Perceptron Neural Network (mlpnn)

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Adaptive Neuro-fuzzy Inference System (anfis)

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Geographic Information Science And Systems (gis)

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Multi-criteria Spatial Decision Support Systems

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Helsinki University Central Hospital - (Helsinki, Finland)

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Analysis of Vulnerability of Road Networks on the Basis of Graph Topology and Related Attribute Information

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Identifying anomalous nuclear radioactive sources using Poisson kriging and mobile sensor networks.

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16 Peace, Justice and Strong Institutions

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Location-Aware Social Network Recommendation via Temporal Graph Networks

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Association for Computing Machinery (ACM)

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Mapping the Unheard: Analyzing Tradeoffs Between Fisheries and Offshore Wind Farms Using Multicriteria Decision Analysis

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Modeling human activity dynamics: an object-class oriented space-time composite model based on social media and urban infrastructure data

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High Resolution Remote Sensing Based Ecological Indicators for Evaluating Urban Ecological Quality

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Analyzing spatial variations of heart disease and type-2 diabetes: A multi-scale geographically weighted regression approach

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Exploring the spatial disparity of home-dwelling time patterns in the USA during the COVID-19 pandemic via Bayesian inference.

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MetaQA: Enhancing human-centered data search using Generative Pre-trained Transformer (GPT) language model and artificial intelligence.

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A SPATIO-TEMPORAL POPULATION MODEL FOR ALARMING, SITUATIONAL PICTURE AND WARNING SYSTEM

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Comparative Study of AI-Based Methods-Application of Analyzing Inflow and Infiltration in Sanitary Sewer Subcatchments

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Critical infrastructure vulnerability-A method for identifying the infrastructure service failure interdependencies

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9 Industry, Innovation and Infrastructure

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A spatial fuzzy influence diagram for modelling spatial objects' dependencies: a case study on tree-related electric outages

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A fuzzy multiple-attribute decision-making modelling for vulnerability analysis on the basis of population information for disaster management

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A reinforcement learning-based routing algorithm for large street networks

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The Internet of Things and fast data streams: prospects for geospatial data science in emerging information ecosystems

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Geographical and temporal weighted regression: examining spatial variations of COVID-19 mortality pattern using mobility and multi-source data

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Modeling Spatiotemporal Pattern of Depressive Symptoms Caused by COVID-19 Using Social Media Data Mining.

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Rethinking Highway Safety Analysis by Leveraging Crowdsourced Waze Data

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A cyberGIS-enabled multi-criteria spatial decision support system: A case study on flood emergency management

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A Hybrid Decision Support System for Driving Resiliency in Texas Coastal Communities

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National Oceanic and Atmospheric Administration - (Washington D.C., District of Columbia, United States)

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Construction Science Professor Develops Unique App To Gauge Flood Levels

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NSF Grant Supports Texas A&M's Acquisition Of High Performance Computing Platform