Gautam Thakur

Gautam Malviya Thakur

Group Leader, Location Intelligence

Contact

THAKURG@ORNL.GOV

All Publications

Establishing Digital Twins for Non-Proliferation of Secure Facilities under Low Data Availability with Agent-Based Modeling, Deep Neural Network Surrogates, and Virtual Reality

PoL Badge: Detecting Insider Threat Activities as well as Deviation from Workplace Patterns-of-Life (PoL) in Nuclear Reactor Facilities using Affordable Privacy-preserving Smart Badging

Using Temporal Information from Human Mobility Data to Detect Anchor Points

GRUMDN: A Multi-Task Model for Predicting Human Patterns-of-Life from Stay Transition Data

Exploring the Utility-Privacy Trade-Off: Impacts of Semantic and Visit Types Ambiguities on Human Mobility Simulation...

CORSAIR: A Framework for Human Mobility Prediction through Visit Characterization and Spatial Behavior Modeling

A Visual Analytic Platform for Interactive Validation of Human Mobility Simulations

HumoNet: A Framework for Realistic Modeling and Simulation of Human Mobility Network

Oak Ridge National Laboratory's Strategic Research and Development Insights for Digital Twins

DICER: Data Intensive Computing Environment and Runtime for Evaluating Unprecedented Scale of Geospatial-Temporal Human Mobility Data

MetaPoL: Immersive VR based Indoor Patterns of Life (PoL) and Anomalies Data Generation for Insider Threat Modeling in Nuclea...

SONET++: A Knowledge Graph of Geographic Categories based on OSM Tag Representation

A Design of Activity-Based Mobility Intervention

Temporal Dynamics of Place and Mobility

Towards POI-based large-scale land use modeling: spatial scale, semantic granularity, and geographic context...

Evolution of Intent and Social Influence Networks and Their Significance in Detecting COVID-19 Disinformation Actors on Social Media

Methodology to Compare Twitter Reaction Trends between Disinformation Communities, to COVID related Campaign Events at Different Geospatial Granularities

EPIsembleVis: A geo-visual analysis and comparison of the prediction ensembles of multiple COVID-19 models

Accelerated Assessment of Critical Infrastructure in Aiding Recovery Efforts During Natural and Human-made Disaster

Conflation of Geospatial POI Data and Ground-level Imagery via Link Prediction on Joint Semantic Graph

MapSpace: POI-based Multi-Scale Global Land Use Modeling

A Mixed-Method Design Approach for Empirically Based Selection of Unbiased Data Annotators

Challenges in Automated Detection of COVID-19 Misinformation

Introduction to the special issue on smart transportation...

Daily Forecasting of Regional Epidemics of Coronavirus Disease with Bayesian Uncertainty Quantification, United States