Gautam Malviya Thakur

Orcid: 0000-0002-8341-4596

According to our database1, Gautam Malviya Thakur authored at least 10 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Agent-Based Modeling and Deep Neural Networks for Establishing Digital Twins of Secure Facilities under Sensing Restrictions.
CoRR, March, 2025

Using Temporal Information from Human Mobility Data to Detect Anchor Points.
Proceedings of the 26th IEEE International Conference on Mobile Data Management, 2025

GRUMDN: A Multi-Task Model for Predicting Human Patterns-of-Life from Stay Transition Data.
Proceedings of the 26th IEEE International Conference on Mobile Data Management, 2025

Exploring the Utility-Privacy Trade-Off: Impacts of Semantic and Visit Types Ambiguities on Human Mobility Simulation.
Proceedings of the 26th IEEE International Conference on Mobile Data Management, 2025

2024
MetaPoL: Immersive VR based Indoor Patterns of Life (PoL) and Anomalies Data Generation for Insider Threat Modeling in Nuclear Security.
Proceedings of the 25th IEEE International Conference on Mobile Data Management, 2024

DICER: Data Intensive Computing Environment and Runtime for Evaluating Unprecedented Scale of Geospatial-Temporal Human Mobility Data.
Proceedings of the 25th IEEE International Conference on Mobile Data Management, 2024

HumoNet: A Framework for Realistic Modeling and Simulation of Human Mobility Network.
Proceedings of the 25th IEEE International Conference on Mobile Data Management, 2024

Understanding Individual-Space Relationships to Inform and Enhance Location-Based Applications.
Proceedings of the 8th ACM SIGSPATIAL International Workshop on Location-based Recommendations, 2024

CORSAIR: A Framework for Human Mobility Prediction through Visit Characterization and Spatial Behavior Modeling.
Proceedings of the IEEE International Conference on Big Data, 2024

2023
A Design of Activity-Based Mobility Intervention.
Proceedings of the 18th International Symposium on Spatial and Temporal Data, 2023


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