Mohammad Goudarzi

Employment

• Monash University Assistant Professor

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (34)

• Performance and Security Aware Distributed Service Placement in Fog Computing
  IEEE Transactions on Services Computing 2026 DOI: 10.1109/TSC.2026.3725124
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• A Knowledge Distillation-Empowered Adaptive Federated Reinforcement Learning Framework for Multi-Domain IoT Applications Scheduling
  Zhiyu Wang, Mohammad Goudarzi, Mingming Gong +1 more
  IEEE Transactions on Mobile Computing 2026 DOI: 10.1109/TMC.2026.3672603
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• An Empirical Evaluation of Kubernetes Resilience in Cloud–Edge Deployments Using Failure Injection Techniques
  2026 DOI: 10.1145/3793811.3793823
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• LLM-Driven Intent-Based Privacy-Aware Orchestration Across the Cloud--Edge Continuum
  2026 DOI: 10.1145/3793811.3793824
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• A Future in Motion: Reimagining Public Transport with Diverse Autonomous Vehicles
  2025 DOI: 10.1145/3748636.3760458
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• AuditNet: Conversational AI Security Assistant
  Shohreh Deldari, Mohammad Goudarzi, Aditya Joshi

  +4 more

  • Arash Shaghaghi
  • Simon Finn
  • Flora Dilys Salim
  • Sanjay Kumar Jha
  2024 DOI: 10.1145/3640471.3680444
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• Deep Reinforcement Learning-based scheduling for optimizing system load and response time in edge and fog computing environments
  Future Generation Computer Systems 2024 DOI: 10.1016/j.future.2023.10.012
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• FLight: A lightweight federated learning framework in edge and fog computing
  Wuji Zhu, Mohammad Goudarzi, Rajkumar Buyya
  Software - Practice and Experience 2024 DOI: 10.1002/spe.3300
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• Resource management in edge and fog computing using FogBus2 framework
  Managing Internet of Things Applications across Edge and Cloud Data Centres 2024
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• μ-DDRL: A QoS-Aware Distributed Deep Reinforcement Learning Technique for Service Offloading in Fog Computing Environments
  Mohammad Goudarzi, Maria Alejandra Rodriguez, Majid Sarvi +1 more
  IEEE Transactions on Services Computing 2024 DOI: 10.1109/TSC.2023.3332308
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• A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments
  Mohammad Goudarzi, Marimuthu Swami Palaniswami, Rajkumar Buyya
  IEEE Transactions on Mobile Computing 2023 DOI: 10.1109/TMC.2021.3123165
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• Container Orchestration in Edge and Fog Computing Environments for Real-Time IoT Applications
  Lecture Notes on Data Engineering and Communications Technologies 2023 DOI: 10.1007/978-981-19-3391-2_1
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• Deep Reinforcement Learning-based Scheduling for Optimizing System Load and Response Time in Edge and Fog Computing Environments
  arXiv 2023 DOI: 10.48550/arXiv.2309.07407
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• FLight: A Lightweight Federated Learning Framework in Edge and Fog Computing
  arXiv 2023 DOI: 10.48550/arXiv.2308.02834
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• Quality of Service (QoS)-Driven Edge Computing and Smart Hospitals: A Vision, Architectural Elements, and Future Directions
  Lecture Notes in Networks and Systems 2023 DOI: 10.1007/978-981-99-1699-3_1
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• Quality of Service (QoS)-driven Edge Computing and Smart Hospitals: A Vision, Architectural Elements, and Future Directions
  arXiv 2023 DOI: 10.48550/arXiv.2303.06896
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• µ-DDRL: A QoS-Aware Distributed Deep Reinforcement Learning Technique for Service Offloading in Fog computing Environments
  arXiv 2023 DOI: 10.48550/arXiv.2310.09003
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• Cloud Computing and Internet of Things: Recent Trends and Directions
  Internet of Things 2022 DOI: 10.1007/978-3-031-05528-7_1
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• Container Orchestration in Edge and Fog Computing Environments for Real-Time IoT Applications
  arXiv 2022 DOI: 10.48550/arxiv.2203.05161
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• Scheduling IoT Applications in Edge and Fog Computing Environments: A Taxonomy and Future Directions
  Mohammad Goudarzi, Marimuthu Swami Palaniswami, Rajkumar Buyya
  ACM Computing Surveys 2022 DOI: 10.1145/3544836
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