{
  "_comment": "Publication list for the /publications/ page. Derived from db/profile/cv.json in the brain repo; citation counts from Google Scholar. Regenerate rather than hand-edit.",
  "_verifiedOn": "2026-08-10",
  "metrics": {
    "citationsAll": 218,
    "citationsSince2021": 193,
    "hIndexAll": 8,
    "hIndexSince2021": 7,
    "i10All": 7,
    "i10Since2021": 5,
    "indexedWorks": 37,
    "peerReviewedPublished": 17,
    "underReviewOrInPreparation": 8,
    "_note": "peerReviewedPublished = 6 journal + 11 conference entries with status Published/Accepted in cv.json. indexedWorks = distinct records on the Scholar profile, which also counts datasets, preprints and edited volumes."
  },
  "identity": {
    "name": "Mohsen Seyedkazemi Ardebili",
    "scholarId": "xP64pZsAAAAJ",
    "orcid": "0000-0002-1166-6559",
    "openalexId": "A5013086540",
    "affiliation": "University of Bologna (DEI)",
    "scholarUrl": "https://scholar.google.com/citations?user=xP64pZsAAAAJ"
  },
  "publications": {
    "journals": {
      "publishedOrAccepted": [
        {
          "key": "kubeintellect",
          "authors": [
            "Mohsen Seyedkazemi Ardebili",
            "Andrea Bartolini"
          ],
          "title": "KubeIntellect: A Modular LLM-Orchestrated Agent Framework for End-to-End Kubernetes Management",
          "venue": "Journal of Grid Computing",
          "year": 2026,
          "status": "Published",
          "volume": "24",
          "issue": "3",
          "pages": "17",
          "publisher": "Springer",
          "doi": "10.1007/s10723-026-09837-6",
          "url": "https://doi.org/10.1007/s10723-026-09837-6",
          "citations": 13
        },
        {
          "key": "thermadnet",
          "authors": [
            "Mohsen Seyedkazemi Ardebili",
            "Andrea Bartolini",
            "Andrea Acquaviva",
            "Luca Benini"
          ],
          "title": "Elevating Datacenter Resilience with ThermADNet: A Thermal Anomaly Detection System",
          "venue": "Future Generation Computer Systems",
          "year": 2026,
          "pages": "108311",
          "status": "Published",
          "doi": "10.1016/j.future.2025.108311",
          "url": "https://doi.org/10.1016/j.future.2025.108311",
          "citations": 1
        },
        {
          "key": "graafe",
          "authors": [
            "Martin Molan",
            "Mohsen Seyedkazemi Ardebili",
            "Junaid Ahmed Khan",
            "Francesco Beneventi",
            "Daniele Cesarini",
            "Andrea Borghesi",
            "Andrea Bartolini"
          ],
          "title": "GRAAFE: GRaph Anomaly Anticipation Framework for Exascale HPC Systems",
          "venue": "Future Generation Computer Systems",
          "year": 2024,
          "status": "Published",
          "doi": "10.1016/j.future.2024.06.032",
          "url": "https://doi.org/10.1016/j.future.2024.06.032",
          "citations": 23
        },
        {
          "key": "hazardnet",
          "authors": [
            "Mohsen Seyedkazemi Ardebili",
            "Andrea Acquaviva",
            "Luca Benini",
            "Andrea Bartolini"
          ],
          "title": "HazardNet: A Thermal Hazard Prediction Framework for Datacenters",
          "venue": "Future Generation Computer Systems",
          "year": 2024,
          "status": "Published",
          "doi": "10.1016/j.future.2024.01.031",
          "url": "https://doi.org/10.1016/j.future.2024.01.031",
          "citations": 5
        },
        {
          "key": "m100exadata",
          "authors": [
            "Andrea Borghesi",
            "Carmine Di Santi",
            "Martin Molan",
            "Mohsen Seyedkazemi Ardebili",
            "Alessio Mauri",
            "Massimiliano Guarrasi",
            "Daniela Galetti",
            "et al."
          ],
          "title": "M100 ExaData: A Data Collection Campaign on the CINECA's Marconi100 Tier-0 Supercomputer",
          "venue": "Nature Scientific Data",
          "volume": "10",
          "issue": "1",
          "pages": "288",
          "year": 2023,
          "status": "Published",
          "doi": "10.1038/s41597-023-02174-3",
          "url": "https://doi.org/10.1038/s41597-023-02174-3",
          "citations": 64
        },
        {
          "key": "pid2007",
          "authors": [
            "Mohsen Seyedkazemi Ardebili",
            "Adel Akbarimajd",
            "Ali Rahnamaei",
            "Amirreza Baghbanpourasl"
          ],
          "title": "A Genetically Tuned Optimal PID Controller",
          "venue": "WSEAS Transactions on Systems and Control",
          "volume": "2",
          "issue": "3",
          "year": 2007,
          "issn": "1991-8763",
          "status": "Published",
          "citations": 12
        }
      ],
      "underReview": [
        {
          "key": "mlops",
          "authors": [
            "Fatemeh Bozorgi",
            "Mohsen Seyedkazemi Ardebili",
            "Andrea Bartolini"
          ],
          "title": "An MLOps-Driven AIOps Framework for Anomaly Detection in Kubernetes",
          "status": "Under review (revision submitted)"
        },
        {
          "key": "jana",
          "authors": [
            "Martin Molan",
            "Mohsen Seyedkazemi Ardebili",
            "Junaid Ahmed Khan",
            "Andrea Borghesi",
            "Andrea Bartolini"
          ],
          "title": "JANA: Job-Aware Node Availability Framework",
          "status": "Under review"
        },
        {
          "key": "aobench",
          "authors": [
            "Mohsen Seyedkazemi Ardebili",
            "Andrea Bartolini"
          ],
          "title": "AOBench: A Trace-Driven, Role-Aware Benchmark for LLM Agents in HPC Operations",
          "status": "Under review"
        }
      ],
      "inPreparation": [
        {
          "key": "greencomputing",
          "authors": [
            "Mohsen Seyedkazemi Ardebili",
            "Fatemeh Bozorgi",
            "Andrea Bartolini"
          ],
          "title": "Sustainable High-Performance Computing: Power Consumption Analysis and Carbon Emissions Forecasting",
          "status": "In preparation"
        },
        {
          "key": "iot",
          "authors": [
            "Mohsen Seyedkazemi Ardebili",
            "Davide Brunelli",
            "Tommaso Polonelli",
            "Luca Benini",
            "Andrea Bartolini"
          ],
          "title": "A Full-Stack IoT Framework for Room Temperature Modelling on Large-Scale HPC Machines",
          "status": "In preparation"
        }
      ]
    },
    "conferences": {
      "publishedOrAccepted": [
        {
          "key": "compsac2026",
          "authors": [
            "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"
          ],
          "title": "DECICE: AI-Driven Scheduling and Digital Twin Integration for the Cloud-HPC-Edge Compute Continuum",
          "venue": "Proc. of the RPE Special Session, IEEE COMPSAC 2026, Madrid, Spain",
          "year": 2026,
          "month": "Jul",
          "status": "Accepted"
        },
        {
          "key": "k8sdevops",
          "authors": [
            "Mohsen Seyedkazemi Ardebili",
            "Andrea Bartolini"
          ],
          "title": "Lightweight Scalable DevOps for Cloud Robotics",
          "venue": "Proc. of the 3rd Int. Workshop on Scalable Compute Continuum (WSCC 2025), co-located with Euro-Par 2025, Dresden, Germany",
          "year": 2025,
          "month": "Aug",
          "status": "Published",
          "citations": 0
        },
        {
          "key": "decice",
          "authors": [
            "M. Bidollahkhani",
            "A. K. Sharma",
            "S. P. Nanavati",
            "M. Seyedkazemi Ardebili",
            "G. Mamulashvili",
            "M. Aydin",
            "F. Stein",
            "M. Akbari",
            "J. M. Kunkel"
          ],
          "title": "Design and Implementation of Integrated AI Scheduler for Dynamic Cloud Workloads Allocation in Kubernetes Environments",
          "venue": "Proc. of the Future Technologies Conference (FTC 2025), Munich, Germany",
          "year": 2025,
          "month": "Nov",
          "status": "Published",
          "doi": "10.1007/978-3-032-07986-2_25",
          "url": "https://doi.org/10.1007/978-3-032-07986-2_25",
          "citations": 1
        },
        {
          "key": "pm100",
          "authors": [
            "Francesco Antici",
            "Mohsen Seyedkazemi Ardebili",
            "Andrea Bartolini",
            "Zeynep Kiziltan"
          ],
          "title": "PM100: A Job Power Consumption Dataset of a Large-scale Production HPC System",
          "venue": "Proc. of the SC'23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis",
          "year": 2023,
          "pages": "1812–1819",
          "status": "Published",
          "doi": "10.1145/3624062.3624263",
          "url": "https://doi.org/10.1145/3624062.3624263",
          "citations": 33
        },
        {
          "key": "poster",
          "authors": [
            "Mohsen Seyedkazemi Ardebili",
            "Andrea Bartolini",
            "Luca Benini"
          ],
          "title": "Multi-level Anomaly Prediction in Tier-0 Datacenter: A Deep Learning Approach",
          "venue": "Proc. of the 19th ACM International Conference on Computing Frontiers",
          "year": 2022,
          "status": "Published",
          "doi": "10.1145/3528416.3530864",
          "url": "https://doi.org/10.1145/3528416.3530864",
          "citations": 3
        },
        {
          "key": "rulebased",
          "authors": [
            "Mohsen Seyedkazemi Ardebili",
            "Andrea Bartolini",
            "Andrea Acquaviva",
            "Luca Benini"
          ],
          "title": "Rule-based Thermal Anomaly Detection for Tier-0 HPC Systems",
          "venue": "3rd ISC HPC International Workshop on Monitoring and Operational Data Analytics",
          "year": 2022,
          "month": "Jun",
          "status": "Published",
          "doi": "10.1007/978-3-031-23220-6_18",
          "url": "https://doi.org/10.1007/978-3-031-23220-6_18",
          "citations": 7
        },
        {
          "key": "tcn",
          "authors": [
            "Mohsen Seyedkazemi Ardebili",
            "Marcello Zanghieri",
            "Alessio Burrello",
            "Francesco Beneventi",
            "Andrea Acquaviva",
            "Luca Benini",
            "Andrea Bartolini"
          ],
          "title": "Prediction of Thermal Hazards in a Real Datacenter Room Using Temporal Convolutional Networks",
          "venue": "Design, Automation and Test in Europe Conference and Exhibition (DATE 2021), IEEE",
          "year": 2021,
          "pages": "1256–1259",
          "status": "Published",
          "doi": "10.23919/date51398.2021.9474116",
          "url": "https://doi.org/10.23919/date51398.2021.9474116",
          "citations": 9
        },
        {
          "key": "datacentercharacterization",
          "authors": [
            "Mohsen Seyedkazemi Ardebili",
            "Carlo Cavazzoni",
            "Luca Benini",
            "Andrea Bartolini"
          ],
          "title": "Thermal Characterization of a Tier-0 Datacenter Room in Normal and Thermal Emergency Conditions",
          "venue": "High Performance Computing in Science and Engineering 2019, Ostrava, Czech Republic",
          "year": 2019,
          "status": "Published",
          "doi": "10.1007/978-3-030-67077-1_1",
          "url": "https://doi.org/10.1007/978-3-030-67077-1_1",
          "citations": 10
        },
        {
          "key": "floating2012",
          "authors": [
            "Amirreza Baghbanpourasl",
            "Ghasem Najarbashi",
            "Mohsen Seyedkazemi Ardebili"
          ],
          "title": "Floating Entanglement Witness Measure and Genetic Algorithm",
          "venue": "International Iran Conference on Quantum Information, Sharif University of Technology, Tehran, Iran",
          "year": 2012,
          "month": "Sep",
          "status": "Published"
        },
        {
          "key": "pid2008",
          "authors": [
            "Mohsen Seyedkazemi Ardebili"
          ],
          "title": "Designing Optimal PID Controller with Genetic Algorithm in View of Controller Location in the Plant",
          "venue": "7th International Conference on Signal Processing, Robotics and Automation, Cambridge, UK",
          "year": 2008,
          "issn": "1790-5117",
          "isbn": "978-960-6766-44-2",
          "status": "Published",
          "citations": 11
        },
        {
          "key": "statcom2007",
          "authors": [
            "Mohsen Seyedkazemi Ardebili",
            "Farzad Sedaghati"
          ],
          "title": "Genetic Algorithm Application to Control of STATCOM for Damping of Subsynchronous Resonance",
          "venue": "7th WSEAS International Conference on Power Systems (PE'07), Beijing, China",
          "year": 2007,
          "month": "Sep",
          "status": "Published",
          "citations": 3
        }
      ],
      "underReview": [
        {
          "key": "pecs2026",
          "authors": [
            "Baibek Davletiyarov",
            "Mohsen Seyedkazemi Ardebili",
            "Andrea Bartolini"
          ],
          "title": "Thermal-Aware Power Modeling and Job Allocation for Carbon-Aware HPC",
          "venue": "PECS 2026 — Workshop on Performance Engineering for Computing Systems, co-located with Euro-Par 2026",
          "status": "Under review"
        }
      ],
      "inPreparation": [
        {
          "key": "cloudedge",
          "authors": [
            "Mohsen Seyedkazemi Ardebili",
            "Sebastiano Mengozzi",
            "Andrea Bartolini"
          ],
          "title": "Cloud–Edge Robotics under Time Constraints: An Experimental Study with ROS 2 and Kubernetes",
          "status": "In preparation"
        },
        {
          "key": "energetiscope",
          "authors": [
            "Mohsen Seyedkazemi Ardebili",
            "Fatemeh Bozorgi",
            "Andrea Bartolini"
          ],
          "title": "EnergetiScope: Predicting Kubernetes Workload Energy from Resource and Manifest Features",
          "status": "In preparation"
        }
      ]
    },
    "_citationsNote": "citations = Google Scholar counts read 2026-08-10, duplicate Scholar records for the same work merged. Full metrics in db/profile/scholar.json. Never put these numbers in job-application documents."
  }
}