PUBLICATIONS

* Indicates current or former student

Journal Papers

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  • Ferdaus, M., Abdelguerfi, M., Kendall, N., Pathak, K., Joe, T., "Widened Attention-Enhanced Atrous Convolutional Network for Efficient Embedded Vision Applications Under Resource Constraint," The Journal of Advanced Intelligent Systems - Wiley, 2024.
  • Schmidt*, A., Pokhrel*, P., Abdelguerfi, M., Ioup*, E., Dobson, D., "Forecasting Features Recorded by Buoys Using Physics Informed Neural Networks and Numerical Ocean Models," IEEE Journal of Oceanic Engineering, 2024, doi: 10.1109/JOE.2024.3378408.
  • Pokhrel*, P., Abdelguerfi, M., Ioup*, E., "A Machine Learning and Data Assimilation Forecasting Framework for Surface Waves," Quarterly Journal of the Royal Meteorological Society, 2023.
  • Conference Papers

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  • Holmberg*, E, Ioup*, E., Abdelguerfi, M., "Knowledge Graph-Based Multi-Agent Path Planning in Dynamic Environments using WAITR," The 2023 IEEE International Conference on Big Data (BigData), Washington D.C., U.S., 2024.
  • Sandner*, E., Schmidt*, A., Pokhrel*, P., Ioup*, E, Dobson, D., Guetl, C., "A Multiple-Location Modeling Scheme for Physics-Regularized Networks: Recurrent Forecasting of Fixed-Location Buoy Observations," The First International Conference on Technologies for Marine and Coastal Ecosystems, Spain, November, 2024.
  • Schmidt*, A., Pokhrel*, P., Ferdaus, M., Abdelguerfi, M., Ioup*, E, Dobson, D., "Physics-Regularized Buoy Forecasts: A Multi-Hyperparameter Approach Using Bounded Random Search," The First International Conference on Technologies for Marine and Coastal Ecosystems, Spain, November, 2024.
  • Ferdaus, M., Abdelguerfi, M., Ioup*, E, Dobson, D., Kendal, N., Pathak, K., Sloan, S., "Kanice: Kolmogorov-Arnold Networks with Interactive Convolutional Elements," The 4th International Conference on AI-ML Systems, Baton Rouge, Louisiana, October, 2024.(Recipient of Research Track Best Paper Award)
  • Holmberg*, E, Ioup*, E., Abdelguerfi, M., "Optimization Via GPU-Accelerated Proximal Recurrence Strategies," The 2023 IEEE International Conference on Big Data (BigData), Sorrento, Italy, 2023, pp. 2920-2929, doi: 10.1109/Big-Data59044.2023.
  • Holmberg*, E, Ioup*, E., Abdelguerfi, M., "A Stochastic Geo-Spatiotemporal Bipartite Network to Optimize GCOOS Sensor Placement Strategies," The 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 2022, pp.3668-3674, doi: 10.1109/BigData55660.2022.10020928.2022.