Frank´s recent publications

Awadelrahman M.A. Ahmed, Frank Eliassen, Causal Inference Framework for Smart Grids with Application to Demand Response, Applied Energy 424 (2026) 128495, https://authors.elsevier.com/sd/article/S0306-2619(26)01151-7, https://doi.org/10.1016/j.apenergy.2026.128495

T. T. Le, A. Taherkordi, F. Eliassen and P. Guan, "Optimal Distribution of ML Models Over Edge for Applications with High Input Frequency," in 2024 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Abu Dhabi, United Arab Emirates, 2024, pp. 143-150, doi: 10.1109/CloudCom62794.2024.00033.

P. Sengupta, S. Maharjan, F. Eliassen, Y. Zhang, Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management Systems, In proceedings of 2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring), Oslo, Norway, 2025, pp. 1 - 6, doi: 10.1109/VTC2025-Spring65109.2025.11174928

P. Sengupta, S. Maharjan, Y. Zhang and F. Eliassen, "Correlation-Aware Feature Attribution Based Explainable AI”, In proceedings of the 2026 International Conference on Advances in Artificial Intelligence and Machine Learning, (AAIML 2026), March 20 - 22, 2026, Tokyo, Japan, DOI: 10.1109/AAIML67890.2026.11498186

T.-T. Le, H.-L. La, A. Taherkordi, F. Eliassen, P. H. Ha and P. Guan, PM2Lat: Highly Accurate and Generalized Prediction of DNN Execution Latency on GPUs, To appear in proceedings of the 26th IEEE International Symposium on Cluster, Cloud, and Internet Computing (CCGrid 2026), 18-21 May 2026, Sydney, Australia.

T.-T. Le, H.-L. La, A. Taherkordi, F. Eliassen, P. H. Ha and P. Guan, Empirical Analysis of GPU Frequency Behavior Under ML Workloads, Poster presentation at the 26th IEEE International Symposium on Cluster, Cloud, and Internet Computing (CCGrid 2026), 18-21 May 2026, Sydney, Australia.