Table of Contents

• Introduction to the DDDAS2024 Conference Infosymbiotics/DDDAS and AI: Towards Reliable AIErik Blasch, Frederica Darema, Dimitris Metaxas. 3-20 [doi]
• Online Fault Detection for Metal Additive Manufacturing with Data-Driven Time Series ModelsAlvin Chen, Fotis Kopsaftopoulos, Sandipan Mishra. 23-30 [doi]
• Weight Decay Optimized Unsupervised Autoencoder Based Anomaly Detection in Uncontrolled Dynamic Structural Health MonitoringKang Yang, Zekun Yang, Zhihui Tian, Harsha Vardhan Tetali, Joel B. Harley. 31-39 [doi]
• Novel Deep Learning Image Registration Techniques with Application to Microscopy Images of Metal AlloysNathan A. Johnston, Nathan B. Gaw, John Wertz, Bruce Cox, Erik Blasch, Matthew Cherry, Sean M. O'Rourke, Laura Homa. 40-48 [doi]
• A Probabilistic Machine Learning Pipeline Using Topological Descriptors for Real-Time State Estimation of High-Rate Dynamic SystemsYang Kang Chua, Daniel Coble, Arman Razmarashooli, Steve Paul, Daniel A. Salazar Martinez, Chao Hu, Austin R. J. Downey, Simon Laflamme. 49-59 [doi]
• Information Fusion of Ultrasonic Waves and Low-Frequency Vibrations: Leveraging Probabilistic Machine Learning and Stochastic Time Series Models for Structural AwarenessPeiyuan Zhou, Yiming Fan, Fotis Kopsaftopoulos. 60-68 [doi]
• Earthen Embankment Monitoring Using LiDAR Data by Randomized Consensus of Topological Data AnalysisAustin R. J. Downey, Jie Wei, A. Q. M. Zohuruzzaman, Paul T. Schrader, Sadik Khan, Jason D. Bakos, Weicong Feng, Erik Blasch, Erika Ardiles-Cruz. 69-77 [doi]
• Large Language Models for Explainable Decisions in Dynamic Digital TwinsNan Zhang, Christian Roberto Vergara, Georgios Diamantopoulos, Jingran Shen, Nikos Tziritas, Rami Bahsoon, Georgios Theodoropoulos 0001. 81-89 [doi]
• DDDAS Probability Learning for Natural Disaster Change DetectionWeicong Feng, Adarsh Agrawal, Haibin Ling, Erik Blasch, Erika Adiles-Cruz, Paul T. Schrader, Jie Wei. 90-99 [doi]
• Dynamic Data-Driven Digital Twin Testbed for Enhanced First Responder Training and CommunicationAlyssa Cassity, Hieu Le 0002, Hernán Santos, Erik Priest, Jian Tao. 100-107 [doi]
• A Dynamic Data Driven Agent Based Model for Characterizing the Space Utilization of Asian Elephants in Response to Water AvailabilityPurathekandy Anjali, Deepak N. Subramani. 108-116 [doi]
• Adaptive Multi-stage Sensor Fusion Under Neuro-Symbolic Framework for The Multi-modal Ranging System in Adverse Weather ConditionsYajie Bao, Peng Cheng, Ping Zhuang, Yunqi Zhang, Zhengyang Fan, Genshe Chen, Erik Blasch, Khanh D. Pham. 117-125 [doi]
• Towards a Dynamic Data Driven AI Regional Weather Forecast ModelSophia Hamer, Jennifer Sleeman, Milton Halem. 126-134 [doi]
• Autonomous Uncrewed Aircraft for Mobile Operations in Severe WeatherJohn J. Bird, Eric W. Frew, Brian Argrow. 135-142 [doi]
• Autonomous Planning for Targeted Observation of Severe WeatherMichael Moncton, Himanshu Gupta, Zachary Sunberg, Eric W. Frew. 143-150 [doi]
• Dynamic Data Driven Security Framework for Industrial Control Networks Using Programmable SwitchesReuben Samson Raj, Dong Jin. 153-161 [doi]
• Security of RF Sensing and Imaging Systems in the Age of Digital TwinsLhamo Dorje, Qian Qu, Xiaohua Li, Yu Chen 0002, Erika Ardiles-Cruz. 162-170 [doi]
• CCTV-Gun: Benchmarking Handgun Detection in CCTV ImagesZhenghong Li, Srikar Yellapragada, Kevin Bhadresh Doshi, Purva Makarand Mhasakar, Heng Fan 0001, Jie Wei, Erik Blasch, Bin Zhang, Haibin Ling. 171-181 [doi]
• D4: Dynamic Data-Driven Discovery of Adversarial Vehicle ManeuversCarlos Hernandez, Diego Ortiz Barbosa, Zengxiang Lei, Luis Burbano, Younghee Park, Satish V. Ukkusuri, Alvaro A. Cárdenas. 182-190 [doi]
• Data Poisoning: An Overlooked Threat to Power Grid ResilienceNora Agah, Javad Mohammadi, Alex Aved, David Ferris, Erika Ardiles-Cruz, Philip Morrone. 191-199 [doi]
• GAN-Based Approach for Detecting Energy Deception Attacks in CPSPapa Pene, Weixian Liao, Wei Yu 0002. 200-207 [doi]
• Adversarial Attacks and Data-Driven Dynamic Outlier Detection SystemsTahir Ekin, Laxmi Shaw, Venkata Surya Bellamkonda. 208-215 [doi]
• Utilizing Matrix Profile with the DDDAS Framework for Anomaly Detection in Nuclear SecurityMiltiadis Alamaniotis. 216-224 [doi]
• Development of an Edge Resilient ML Ensemble to Tolerate ICS Adversarial AttacksLikai Yao, Qinxuan Shi, Zhanglong Yang, Sicong Shao, Salim Hariri. 225-234 [doi]
• Data-Driven Early Detection of Infectious Disease Symptoms Using Wearable Sensor Data: A Transformer-Based Unsupervised ApproachShiyang Sima, Ritika Chaturvedi, Hossein Ghasemkhani, Alok R. Chaturvedi. 235-244 [doi]
• A Spiral-Theoretic Approach for Trustworthy AI/ML in DDDASAspassia Daskalopulu, Alexander Chroneos, Ioannis Goulatis, Lefteri H. Tsoukalas. 245-253 [doi]
• Data-Driven Pixel Control: Challenges and ProspectsSaurabh Farkya, Zachary Alan Daniels, Aswin Raghavan, Gooitzen van der Wal, Michael A. Isnardi, Michael R. Piacentino, David C. Zhang. 257-267 [doi]
• Dynamic Data-Driven Approach for LEO PNT Selection of Satellites with Poorly Known EphemeridesJoe Saroufim, Zaher M. Kassas. 268-276 [doi]
• Improving Physics-Based Motion and Physical Parameter Estimations of a Tumbling, Non-cooperative Space Object Through DDDASRabiul Hasan Kabir, Xiaoli Bai. 277-285 [doi]
• An Expected KLD Based Censoring Strategy for Target Tracking in Distributed Sensor NetworksDave Bordenkircher, Ruixin Niu. 286-295 [doi]
• Reliable AI for UAVs Through Control/Perception Co-designVeera Venkata Ram Murali Krishna Rao Muvva, Kunjan Theodore Joseph, Marilyn Wolf, Santosh Pitla. 296-307 [doi]
• Constraint-Aware Diffusion Models for Trajectory OptimizationAnjian Li, Zihan Ding, Adji Bousso Dieng, Ryne Beeson. 308-316 [doi]
• Data-Driven Dynamics of Robot Locomotion on Granular MediaChristina Nikiforidou, Balakumar Balachandran. 317-325 [doi]
• A Physics-Enhanced Deep Learning Model for Fast Prediction of the Behavior of a Forced Dynamic SystemYufeng Sun, Ou Ma. 326-335 [doi]
• Edge-to-Cloud AI-Assisted Augmented Reality DDDAS Framework for Robust and Real-Time Assistance to OperatorsRobert Canady, Akhilesh Raj, Bach Tran, Shivakumar Sastry, Aniruddha Gokhale. 336-343 [doi]
• CAD Model Guided Semantic Segmentation for Radar Micro-UAV Signature Synthesis Across Different Clutter EnvironmentsSean Kearney, Sevgi Zubeyde Gurbuz. 344-351 [doi]
• Towards Reliable Neural Optimizers: A Permutation Equivariant Neural Approximation for Information Processing ApplicationsMeiyi Li, Javad Mohammadi. 355-363 [doi]
• Fast Topological Data Analysis Features for Nonstationary Time SeriesDaniel A. Salazar Martinez, Arman Razmarashooli, Yang Kang Chua, Simon Laflamme, Chao Hu, Paul T. Schrader, Austin R. J. Downey, Jason D. Bakos, Negash Begashaw, Gurcan Comert, Jacob Dodson. 364-371 [doi]
• Predictive Modeling of Application Runtime in Dragonfly SystemsPietro Lodi Rizzini, Xin Wang 0115, Kevin A. Brown, Sourav Medya, Zhiling Lan. 372-382 [doi]
• Adaptive Data Driven Network Slicing and Resource Blocks Assignment Using Deep Reinforcement LearningAbdullah Alsaheal, Brent Langhals, Nurcin Celik. 383-390 [doi]
• Explainable Diffusion Model via Schrödinger Bridge in Multimodal Image TranslationZhengyi Lu, Robert L. Ewing, Erik Blasch, Jia Li 0010. 391-402 [doi]
• Using Mamba for Modeling Dynamical Systems in a Limited Data ScenarioHunter Quebedeaux, Tarek A. Elgohary. 403-413 [doi]
• Application of a State Space Based Neural Network Model for Uncertainty Propagation in Dynamical SystemsPugazhenthi Sivasankar, Hunter Quebedeaux, Tarek A. Elgohary. 414-427 [doi]
• From Positive to Negative: On the Role of Negative Data in Enhancing Generative Models for Engineering Constraint SatisfactionLyle Regenwetter, Faez Ahmed. 428-439 [doi]