A Stochastic Geo-spatiotemporal Bipartite Network to Optimize GCOOS Sensor Placement Strategies. - Ted Edward Holmberg; Elias Ioup; Mahdi Abdelguerfi (IEEE Big Data, 2022)

STROOBnet Optimization via GPU-Accelerated Proximal Recurrence Strategies. - Ted Edward Holmberg; Mahdi Abdelguerfi; Elias Ioup (IEEE Big Data, 2023)

Knowledge Graph-Based Multi-Agent Path Planning in Dynamic Environments using WAITR. - Ted Edward Holmberg; Elias Ioup; Mahdi Abdelguerfi (IEEE Big Data, 2024)

Choreographing the Rhythms of Observation: Dynamics for Ranged Observer Bipartite-Unipartite SpatioTemporal (ROBUST) Networks. - Ted Edward Holmberg (CoRR, 2024)

Data Visualization to Evaluate and Facilitate Targeted Data Acquisitions in Support of a Real-time Ocean Forecasting System. - Ted Edward Holmberg (CoRR, 2024)

Physics-Informed Neural Network Surrogate Models for River Stage Prediction. - Maximilian Zoch; Ted Edward Holmberg; Pujan Pokhrel; Ken Pathak; Steven Sloan; Kendall N. Niles; Jay J. Ratcliff; Maik Flanagin; Elias Ioup; Christian Guetl; Mahdi Abdelguerfi (CoRR, 2025)

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting. - Ted Edward Holmberg; Pujan Pokhrel; Maximilian Zoch; Elias Ioup; Ken Pathak; Steven Sloan; Kendall N. Niles; Jay J. Ratcliff; Maik Flanagin; Christian Guetl; Julian Simeonov; Mahdi Abdelguerfi (CoRR, 2025)