- Introduction to the Proceedings.- Introduction to the DDDAS2024 Conference Infosymbiotics/DDDAS and AI: Towards Reliable AI.- Plenary Papers.- Materials, Aerospace, and Geomechanics Systems Methods.- Online Fault Detection for Metal Additive Manufacturing with Data­ Driven Time Series Models.- Weight Decay Optimized Unsupervised Autoencoder Based Anomaly Detection in Uncontrolled Dynamic Structural Health Monitoring.- Novel Deep Learning Image Registration Techniques with Application to Microscopy Images of Metal Alloys.- A Probabilistic Machine Learning Pipeline Using Topological Descriptors for Real-Time State Estimation of High-Rate Dynamic Systems.

- Information Fusion of Ultrasonic Waves and Low-Frequency Vibrations: Leveraging Probabilistic Machine Learning and Stochastic Time Series Models for Structural Awareness.- Earthen Embankment Monitoring using LiDAR data by Randomized Consensus of Topological Data Analysis.- Environmental Systems-Assessment/Response, DT Methods.- Large Language Models for Explainable Decisions in Dynamic Digital Twins.- DDDAS Probability Learning for Natural Disaster Change Detection.- Dynamic Data-Driven Digital Twin Testbed for Enhanced First Responder Training and Communication.- A Dynamic Data Driven Agent Based Model for Characterizing the Space Utilization of Asian Elephants in Response to Water Availability.- Adaptive Multi-stage Sensor Fusion under Neuro-symbolic Framework for The Multi-modal Ranging System in Adverse Weather Conditions.

- Towards a Dynamic Data Driven Al Regional Weather Forecast Model.- Autonomous Uncrewed Aircraft for Mobile Operations in Severe Weather.- Autonomous Planning for Targeted Observation of Severe Weather.- Security Systems -Methods, infrastructures, applications.