verified 2026-08-10

Publications

Every paper, with its DOI and its BibTeX.

Anomaly detection and thermal-hazard prediction on Tier-0 supercomputers, LLM agents that operate Kubernetes, MLOps at supercomputer scale, and the open datasets underneath all of it. Counts come from Google Scholar; identifiers from Crossref.

218citations193 since 2021
8h-indexi10-index 7
17peer-reviewedpublished or accepted
8in the pipelineunder review or in preparation

Published and accepted

Peer-reviewed journal articles, conference papers and workshop papers. Citation counts are Google Scholar's, read on 2026-08-10.

  1. 2026

    DECICE: AI-Driven Scheduling and Digital Twin Integration for the Cloud-HPC-Edge Compute Continuum

    A. K. Sharma, F. Stein, M. Aydin, M. Bidollahkhani, S. P. Nanavati, M. Seyedkazemi Ardebili, G. Mamulashvili, M. Akbari, J. Decker, Z. Masih, J. M. Kunkel

    Proc. of the RPE Special Session, IEEE COMPSAC 2026, Madrid, Spain

    Accepted

    BibTeX
    @inproceedings{sharma2026decice,
      author    = {A. K. Sharma and F. Stein and M. Aydin and M. Bidollahkhani and S. P. Nanavati and M. Seyedkazemi Ardebili and G. Mamulashvili and M. Akbari and J. Decker and Z. Masih and J. M. Kunkel},
      title     = {DECICE: AI-Driven Scheduling and Digital Twin Integration for the Cloud-HPC-Edge Compute Continuum},
      booktitle = {Proc. of the RPE Special Session, IEEE COMPSAC 2026, Madrid, Spain},
      year      = {2026},
    }
  2. 2026

    Elevating Datacenter Resilience with ThermADNet: A Thermal Anomaly Detection System

    Mohsen Seyedkazemi Ardebili, Andrea Bartolini, Andrea Acquaviva, Luca Benini

    Future Generation Computer Systems · 108311

    1 citationDOI ↗

    BibTeX
    @article{ardebili2026elevating,
      author    = {Mohsen Seyedkazemi Ardebili and Andrea Bartolini and Andrea Acquaviva and Luca Benini},
      title     = {Elevating Datacenter Resilience with ThermADNet: A Thermal Anomaly Detection System},
      journal   = {Future Generation Computer Systems},
      year      = {2026},
      pages     = {108311},
      doi       = {10.1016/j.future.2025.108311},
    }
  3. 2026

    KubeIntellect: A Modular LLM-Orchestrated Agent Framework for End-to-End Kubernetes Management

    Mohsen Seyedkazemi Ardebili, Andrea Bartolini

    Journal of Grid Computing · 24(3) · 17

    13 citationsDOI ↗

    BibTeX
    @article{ardebili2026kubeintellect,
      author    = {Mohsen Seyedkazemi Ardebili and Andrea Bartolini},
      title     = {KubeIntellect: A Modular LLM-Orchestrated Agent Framework for End-to-End Kubernetes Management},
      journal   = {Journal of Grid Computing},
      year      = {2026},
      volume    = {24},
      number    = {3},
      pages     = {17},
      publisher = {Springer},
      doi       = {10.1007/s10723-026-09837-6},
    }
  4. 2025

    Design and Implementation of Integrated AI Scheduler for Dynamic Cloud Workloads Allocation in Kubernetes Environments

    M. Bidollahkhani, A. K. Sharma, S. P. Nanavati, M. Seyedkazemi Ardebili, G. Mamulashvili, M. Aydin, F. Stein, M. Akbari, J. M. Kunkel

    Proc. of the Future Technologies Conference (FTC 2025), Munich, Germany

    1 citationDOI ↗

    BibTeX
    @inproceedings{bidollahkhani2025design,
      author    = {M. Bidollahkhani and A. K. Sharma and S. P. Nanavati and M. Seyedkazemi Ardebili and G. Mamulashvili and M. Aydin and F. Stein and M. Akbari and J. M. Kunkel},
      title     = {Design and Implementation of Integrated AI Scheduler for Dynamic Cloud Workloads Allocation in Kubernetes Environments},
      booktitle = {Proc. of the Future Technologies Conference (FTC 2025), Munich, Germany},
      year      = {2025},
      doi       = {10.1007/978-3-032-07986-2_25},
    }
  5. 2025

    Lightweight Scalable DevOps for Cloud Robotics

    Mohsen Seyedkazemi Ardebili, Andrea Bartolini

    Proc. of the 3rd Int. Workshop on Scalable Compute Continuum (WSCC 2025), co-located with Euro-Par 2025, Dresden, Germany

    BibTeX
    @inproceedings{ardebili2025lightweight,
      author    = {Mohsen Seyedkazemi Ardebili and Andrea Bartolini},
      title     = {Lightweight Scalable DevOps for Cloud Robotics},
      booktitle = {Proc. of the 3rd Int. Workshop on Scalable Compute Continuum (WSCC 2025), co-located with Euro-Par 2025, Dresden, Germany},
      year      = {2025},
    }
  6. 2024

    GRAAFE: GRaph Anomaly Anticipation Framework for Exascale HPC Systems

    Martin Molan, Mohsen Seyedkazemi Ardebili, Junaid Ahmed Khan, Francesco Beneventi, Daniele Cesarini, Andrea Borghesi, Andrea Bartolini

    Future Generation Computer Systems

    23 citationsDOI ↗

    BibTeX
    @article{molan2024graafe,
      author    = {Martin Molan and Mohsen Seyedkazemi Ardebili and Junaid Ahmed Khan and Francesco Beneventi and Daniele Cesarini and Andrea Borghesi and Andrea Bartolini},
      title     = {GRAAFE: GRaph Anomaly Anticipation Framework for Exascale HPC Systems},
      journal   = {Future Generation Computer Systems},
      year      = {2024},
      doi       = {10.1016/j.future.2024.06.032},
    }
  7. 2024

    HazardNet: A Thermal Hazard Prediction Framework for Datacenters

    Mohsen Seyedkazemi Ardebili, Andrea Acquaviva, Luca Benini, Andrea Bartolini

    Future Generation Computer Systems

    5 citationsDOI ↗

    BibTeX
    @article{ardebili2024hazardnet,
      author    = {Mohsen Seyedkazemi Ardebili and Andrea Acquaviva and Luca Benini and Andrea Bartolini},
      title     = {HazardNet: A Thermal Hazard Prediction Framework for Datacenters},
      journal   = {Future Generation Computer Systems},
      year      = {2024},
      doi       = {10.1016/j.future.2024.01.031},
    }
  8. 2023

    M100 ExaData: A Data Collection Campaign on the CINECA's Marconi100 Tier-0 Supercomputer

    Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, et al.

    Nature Scientific Data · 10(1) · 288

    64 citationsDOI ↗

    BibTeX
    @article{borghesi2023m,
      author    = {Andrea Borghesi and Carmine Di Santi and Martin Molan and Mohsen Seyedkazemi Ardebili and Alessio Mauri and Massimiliano Guarrasi and Daniela Galetti and et al.},
      title     = {M100 ExaData: A Data Collection Campaign on the CINECA's Marconi100 Tier-0 Supercomputer},
      journal   = {Nature Scientific Data},
      year      = {2023},
      volume    = {10},
      number    = {1},
      pages     = {288},
      doi       = {10.1038/s41597-023-02174-3},
    }
  9. 2023

    PM100: A Job Power Consumption Dataset of a Large-scale Production HPC System

    Francesco Antici, Mohsen Seyedkazemi Ardebili, Andrea Bartolini, Zeynep Kiziltan

    Proc. of the SC'23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis · 1812–1819

    33 citationsDOI ↗

    BibTeX
    @inproceedings{antici2023pm,
      author    = {Francesco Antici and Mohsen Seyedkazemi Ardebili and Andrea Bartolini and Zeynep Kiziltan},
      title     = {PM100: A Job Power Consumption Dataset of a Large-scale Production HPC System},
      booktitle = {Proc. of the SC'23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis},
      year      = {2023},
      pages     = {1812–1819},
      doi       = {10.1145/3624062.3624263},
    }
  10. 2022

    Multi-level Anomaly Prediction in Tier-0 Datacenter: A Deep Learning Approach

    Mohsen Seyedkazemi Ardebili, Andrea Bartolini, Luca Benini

    Proc. of the 19th ACM International Conference on Computing Frontiers

    3 citationsDOI ↗

    BibTeX
    @inproceedings{ardebili2022multilevel,
      author    = {Mohsen Seyedkazemi Ardebili and Andrea Bartolini and Luca Benini},
      title     = {Multi-level Anomaly Prediction in Tier-0 Datacenter: A Deep Learning Approach},
      booktitle = {Proc. of the 19th ACM International Conference on Computing Frontiers},
      year      = {2022},
      doi       = {10.1145/3528416.3530864},
    }
  11. 2022

    Rule-based Thermal Anomaly Detection for Tier-0 HPC Systems

    Mohsen Seyedkazemi Ardebili, Andrea Bartolini, Andrea Acquaviva, Luca Benini

    3rd ISC HPC International Workshop on Monitoring and Operational Data Analytics

    7 citationsDOI ↗

    BibTeX
    @inproceedings{ardebili2022rulebased,
      author    = {Mohsen Seyedkazemi Ardebili and Andrea Bartolini and Andrea Acquaviva and Luca Benini},
      title     = {Rule-based Thermal Anomaly Detection for Tier-0 HPC Systems},
      booktitle = {3rd ISC HPC International Workshop on Monitoring and Operational Data Analytics},
      year      = {2022},
      doi       = {10.1007/978-3-031-23220-6_18},
    }
  12. 2021

    Prediction of Thermal Hazards in a Real Datacenter Room Using Temporal Convolutional Networks

    Mohsen Seyedkazemi Ardebili, Marcello Zanghieri, Alessio Burrello, Francesco Beneventi, Andrea Acquaviva, Luca Benini, Andrea Bartolini

    Design, Automation and Test in Europe Conference and Exhibition (DATE 2021), IEEE · 1256–1259

    9 citationsDOI ↗

    BibTeX
    @inproceedings{ardebili2021prediction,
      author    = {Mohsen Seyedkazemi Ardebili and Marcello Zanghieri and Alessio Burrello and Francesco Beneventi and Andrea Acquaviva and Luca Benini and Andrea Bartolini},
      title     = {Prediction of Thermal Hazards in a Real Datacenter Room Using Temporal Convolutional Networks},
      booktitle = {Design, Automation and Test in Europe Conference and Exhibition (DATE 2021), IEEE},
      year      = {2021},
      pages     = {1256–1259},
      doi       = {10.23919/date51398.2021.9474116},
    }
  13. 2019

    Thermal Characterization of a Tier-0 Datacenter Room in Normal and Thermal Emergency Conditions

    Mohsen Seyedkazemi Ardebili, Carlo Cavazzoni, Luca Benini, Andrea Bartolini

    High Performance Computing in Science and Engineering 2019, Ostrava, Czech Republic

    10 citationsDOI ↗

    BibTeX
    @inproceedings{ardebili2019thermal,
      author    = {Mohsen Seyedkazemi Ardebili and Carlo Cavazzoni and Luca Benini and Andrea Bartolini},
      title     = {Thermal Characterization of a Tier-0 Datacenter Room in Normal and Thermal Emergency Conditions},
      booktitle = {High Performance Computing in Science and Engineering 2019, Ostrava, Czech Republic},
      year      = {2019},
      doi       = {10.1007/978-3-030-67077-1_1},
    }
  14. 2012

    Floating Entanglement Witness Measure and Genetic Algorithm

    Amirreza Baghbanpourasl, Ghasem Najarbashi, Mohsen Seyedkazemi Ardebili

    International Iran Conference on Quantum Information, Sharif University of Technology, Tehran, Iran

    BibTeX
    @inproceedings{baghbanpourasl2012floating,
      author    = {Amirreza Baghbanpourasl and Ghasem Najarbashi and Mohsen Seyedkazemi Ardebili},
      title     = {Floating Entanglement Witness Measure and Genetic Algorithm},
      booktitle = {International Iran Conference on Quantum Information, Sharif University of Technology, Tehran, Iran},
      year      = {2012},
    }
  15. 2008

    Designing Optimal PID Controller with Genetic Algorithm in View of Controller Location in the Plant

    Mohsen Seyedkazemi Ardebili

    7th International Conference on Signal Processing, Robotics and Automation, Cambridge, UK

    11 citations

    BibTeX
    @inproceedings{ardebili2008designing,
      author    = {Mohsen Seyedkazemi Ardebili},
      title     = {Designing Optimal PID Controller with Genetic Algorithm in View of Controller Location in the Plant},
      booktitle = {7th International Conference on Signal Processing, Robotics and Automation, Cambridge, UK},
      year      = {2008},
    }
  16. 2007

    A Genetically Tuned Optimal PID Controller

    Mohsen Seyedkazemi Ardebili, Adel Akbarimajd, Ali Rahnamaei, Amirreza Baghbanpourasl

    WSEAS Transactions on Systems and Control · 2(3)

    12 citations

    BibTeX
    @article{ardebili2007a,
      author    = {Mohsen Seyedkazemi Ardebili and Adel Akbarimajd and Ali Rahnamaei and Amirreza Baghbanpourasl},
      title     = {A Genetically Tuned Optimal PID Controller},
      journal   = {WSEAS Transactions on Systems and Control},
      year      = {2007},
      volume    = {2},
      number    = {3},
    }
  17. 2007

    Genetic Algorithm Application to Control of STATCOM for Damping of Subsynchronous Resonance

    Mohsen Seyedkazemi Ardebili, Farzad Sedaghati

    7th WSEAS International Conference on Power Systems (PE'07), Beijing, China

    3 citations

    BibTeX
    @inproceedings{ardebili2007genetic,
      author    = {Mohsen Seyedkazemi Ardebili and Farzad Sedaghati},
      title     = {Genetic Algorithm Application to Control of STATCOM for Damping of Subsynchronous Resonance},
      booktitle = {7th WSEAS International Conference on Power Systems (PE'07), Beijing, China},
      year      = {2007},
    }

Under review

Submitted and in the review process. Submitted is not accepted — these are listed as evidence of the current line of work, not as results.

  1. An MLOps-Driven AIOps Framework for Anomaly Detection in Kubernetes

    Fatemeh Bozorgi, Mohsen Seyedkazemi Ardebili, Andrea Bartolini

    Under review (revision submitted)

    BibTeX
    @article{bozorgindan,
      author    = {Fatemeh Bozorgi and Mohsen Seyedkazemi Ardebili and Andrea Bartolini},
      title     = {An MLOps-Driven AIOps Framework for Anomaly Detection in Kubernetes},
    }
  2. JANA: Job-Aware Node Availability Framework

    Martin Molan, Mohsen Seyedkazemi Ardebili, Junaid Ahmed Khan, Andrea Borghesi, Andrea Bartolini

    Under review

    BibTeX
    @article{molanndjana,
      author    = {Martin Molan and Mohsen Seyedkazemi Ardebili and Junaid Ahmed Khan and Andrea Borghesi and Andrea Bartolini},
      title     = {JANA: Job-Aware Node Availability Framework},
    }
  3. AOBench: A Trace-Driven, Role-Aware Benchmark for LLM Agents in HPC Operations

    Mohsen Seyedkazemi Ardebili, Andrea Bartolini

    Under review

    BibTeX
    @article{ardebilindaobench,
      author    = {Mohsen Seyedkazemi Ardebili and Andrea Bartolini},
      title     = {AOBench: A Trace-Driven, Role-Aware Benchmark for LLM Agents in HPC Operations},
    }
  4. Thermal-Aware Power Modeling and Job Allocation for Carbon-Aware HPC

    Baibek Davletiyarov, Mohsen Seyedkazemi Ardebili, Andrea Bartolini

    PECS 2026 — Workshop on Performance Engineering for Computing Systems, co-located with Euro-Par 2026

    Under review

    BibTeX
    @inproceedings{davletiyarovndthermalaware,
      author    = {Baibek Davletiyarov and Mohsen Seyedkazemi Ardebili and Andrea Bartolini},
      title     = {Thermal-Aware Power Modeling and Job Allocation for Carbon-Aware HPC},
      booktitle = {PECS 2026 — Workshop on Performance Engineering for Computing Systems, co-located with Euro-Par 2026},
    }

In preparation

Drafts in progress.

  1. Sustainable High-Performance Computing: Power Consumption Analysis and Carbon Emissions Forecasting

    Mohsen Seyedkazemi Ardebili, Fatemeh Bozorgi, Andrea Bartolini

    In preparation

    BibTeX
    @article{ardebilindsustainable,
      author    = {Mohsen Seyedkazemi Ardebili and Fatemeh Bozorgi and Andrea Bartolini},
      title     = {Sustainable High-Performance Computing: Power Consumption Analysis and Carbon Emissions Forecasting},
    }
  2. A Full-Stack IoT Framework for Room Temperature Modelling on Large-Scale HPC Machines

    Mohsen Seyedkazemi Ardebili, Davide Brunelli, Tommaso Polonelli, Luca Benini, Andrea Bartolini

    In preparation

    BibTeX
    @article{ardebilinda,
      author    = {Mohsen Seyedkazemi Ardebili and Davide Brunelli and Tommaso Polonelli and Luca Benini and Andrea Bartolini},
      title     = {A Full-Stack IoT Framework for Room Temperature Modelling on Large-Scale HPC Machines},
    }
  3. Cloud–Edge Robotics under Time Constraints: An Experimental Study with ROS 2 and Kubernetes

    Mohsen Seyedkazemi Ardebili, Sebastiano Mengozzi, Andrea Bartolini

    In preparation

    BibTeX
    @inproceedings{ardebilindcloudedge,
      author    = {Mohsen Seyedkazemi Ardebili and Sebastiano Mengozzi and Andrea Bartolini},
      title     = {Cloud–Edge Robotics under Time Constraints: An Experimental Study with ROS 2 and Kubernetes},
    }
  4. EnergetiScope: Predicting Kubernetes Workload Energy from Resource and Manifest Features

    Mohsen Seyedkazemi Ardebili, Fatemeh Bozorgi, Andrea Bartolini

    In preparation

    BibTeX
    @inproceedings{ardebilindenergetiscope,
      author    = {Mohsen Seyedkazemi Ardebili and Fatemeh Bozorgi and Andrea Bartolini},
      title     = {EnergetiScope: Predicting Kubernetes Workload Energy from Resource and Manifest Features},
    }

Citation counts are Google Scholar's, read on 2026-08-10; duplicate Scholar records for the same work are merged. DOIs are resolved through Crossref. Where a paper has no DOI it has not been assigned one by the publisher. The JSON behind this page is the same file that generates it.

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