Kawsar Haghshenas

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Citations	132	124
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Siamak MohammadiAssociate Professor of Electrical and Computer Eng., University of TehranVerified email at ut.ac.ir
Marco AielloUniversity of StuttgartVerified email at iaas.uni-stuttgart.de
David AtienzaProfessor of Electrical and Computer Engineering, EPFLVerified email at epfl.ch
Marina ZapaterAssociate Professor at HEIG-VD / HES-SOVerified email at heig-vd.ch
Tooraj NikoubinElectrical and Computer Engineering Department, University of Texas DallasVerified email at utdallas.edu
Mona HashemiPh.D. Candidate at University of Tehran | Visiting Researcher at National University of SingaporeVerified email at ut.ac.ir
Maziar GoudarziSharif University of TechnologyVerified email at sharif.ir
Mahdieh GrailooPhD in Computer Engineering from University of TehranVerified email at ut.ac.ir
Ali PahlevanSenior Hardware Developer @ SAP

Kawsar Haghshenas

Assistant Professor, University of Groningen

Verified email at rug.nl - Homepage

Distributed Systems Applied Machine Learning Green AI


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Magnetic: Multi-agent machine learning-based approach for energy efficient dynamic consolidation in data centers K Haghshenas, A Pahlevan, M Zapater, S Mohammadi, D Atienza IEEE Transactions on Services Computing 15 (1), 30-44, 2019	48	2019
Prediction-based underutilized and destination host selection approaches for energy-efficient dynamic VM consolidation in data centers K Haghshenas, S Mohammadi The Journal of Supercomputing 76, 10240-10257, 2020	31	2020
Infrastructure aware heterogeneous-workloads scheduling for data center energy cost minimization K Haghshenas, S Taheri, M Goudarzi, S Mohammadi IEEE Transactions on Cloud Computing 10 (2), 972-983, 2020	20	2020
Enough hot air: the role of immersion cooling K Haghshenas, B Setz, Y Blosch, M Aiello Energy Informatics 6 (1), 14, 2023	14	2023
CNTFET full-adders for energy-efficient arithmetic applications M Grailoo, M Hashemi, K Haghshenas, S Rezaee, S Rapolu, T Nikoubin 2015 6th International Conference on Computing, Communication and Networking …, 2015	5	2015
CO₂ Emission Aware Scheduling for Deep Neural Network Training Workloads K Haghshenas, B Setz, M Aiello 2022 IEEE International Conference on Big Data (Big Data), 1542-1549, 2022	4	2022
Fast and energy-efficient CNFET adders with CDM and sensitivity-based device-circuit co-optimization K Haghshenas, M Hashemi, T Nikoubin IEEE Transactions on Nanotechnology 17 (4), 783-794, 2018	4	2018
Optimal joint operation of coupled transportation and power distribution urban networks K Sadhu, K Haghshenas, M Rouhani, M Aiello Energy Informatics 5 (1), 35, 2022	3	2022
Energy smart buildings: Parallel uniform cost-search with energy storage and generation B Setz, K Haghshenas, M Aiello arXiv preprint arXiv:2211.08969, 2022	2	2022
Carbon emission-aware job scheduling for Kubernetes deployments T Piontek, K Haghshenas, M Aiello The Journal of Supercomputing 80 (1), 549-569, 2024	1	2024

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