Prediction-based underutilized and destination host selection approaches for energy-efficient dynamic VM consolidation in data centers. - Kawsar Haghshenas; Siamak Mohammadi (J. Supercomput., 2020)

CO2 Emission Aware Scheduling for Deep Neural Network Training Workloads. - Kawsar Haghshenas; Brian Setz; Marco Aiello 001 (IEEE Big Data, 2022)

Energy Smart Buildings: Parallel Uniform Cost-Search with Energy Storage and Generation. - Brian Setz; Kawsar Haghshenas; Marco Aiello 001 (CoRR, 2022)

Optimal joint operation of coupled transportation and power distribution urban networks. - Kaushik Sadhu; Kawsar Haghshenas; Mohammadhadi Rouhani; Marco Aiello 001 (Energy Inform., 2022)

Infrastructure Aware Heterogeneous-Workloads Scheduling for Data Center Energy Cost Minimization. - Kawsar Haghshenas; Somayyeh Taheri; Maziar Goudarzi; Siamak Mohammadi (IEEE Trans. Cloud Comput., 2022)

MAGNETIC: Multi-Agent Machine Learning-Based Approach for Energy Efficient Dynamic Consolidation in Data Centers. - Kawsar Haghshenas; Ali Pahlevan; Marina Zapater; Siamak Mohammadi; David Atienza (IEEE Trans. Serv. Comput., 2022)

Enough hot air: the role of immersion cooling. - Kawsar Haghshenas; Brian Setz; Yannis Blosch; Marco Aiello 001 (Energy Inform., 2023)

EaCO: Resource Sharing Dynamics and Its Impact on Energy Efficiency for DNN Training. - Kawsar Haghshenas; Mona Hashemi (CoRR, 2024)

Carbon emission-aware job scheduling for Kubernetes deployments. - Tobias Piontek; Kawsar Haghshenas; Marco Aiello 001 (J. Supercomput., 2024)