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Email

sourav.mondal@unimelb.edu.au

Credentials


Position
Research Fellow
Department of Electrical and Electronic Engineering
Education
PhD
University of Melbourne
Masters (Research)
Indian Institute of Technology, Kharagpur
Bachelors Degree
Kalyani Govt. Engineering College (WBUT)
ORCID

0000-0002-5467-2545

Dr Sourav Mondal

Research Fellow
Department of Electrical and Electronic Engineering

35 Scholarly works
0 Projects

HIGHLIGHTS

  • 2025

    Journal article

    Malicious Attack Defense in Human-to-Machine Applications Through Concept Drift Adaptation
    DOI: 10.1109/JIOT.2025.3616787
  • 2025

    Journal article

    User Head Movement-Predictive XR in Immersive H2M Collaborations Over Future Enterprise Networks
    DOI: 10.1109/JIOT.2025.3587064
  • 2025

    Conference Proceedings

    Fiber-WiFi Coordinated Seamless Handover and Resource Allocation for Immersive XR Collaborations over FTTR-B
    DOI: 10.1364/OFC.2025.W2A.52
  • 2025

    Conference Proceedings

    Enhancing Operational Security of Human-to-Machine Applications through Concept Drift Detection
    DOI: 10.1364/OFC.2025.W3J.5
  • 2025

    Conference Proceedings

    Supporting Human-to-Machine Applications in Next-Gen Optical Access Networks through Explainable AI
    DOI: 10.1364/OFC.2025.M3H.2
  • 2025

    Journal article

    Explainable AI-assisted low-latency haptic feedback prediction for human-to-machine applications over passive optical networks
    DOI: 10.1364/JOCN.560757
  • 2025

    Conference Proceedings

    Enabling Immersive XR Collaborations over FTTR Networks
    DOI: 10.1364/NETWORKS.2025.NeM4C.5
Sourav Mondal

RECENT SCHOLARLY WORKS

  • 2024

    Conference Proceedings

    Explainable AI-Enabled Haptic Feedback Prediction for H2M Applications over Optical Access Networks
    DOI: 10.1109/FNWF63303.2024.11028718
  • 2023

    Journal article

    Fairness Guaranteed and Auction-Based x-Haul and Cloud Resource Allocation in Multi-Tenant O-RANs
    DOI: 10.1109/TCOMM.2023.3260239
  • 2023

    Journal article

    Machine learning enhanced next-generation optical access networksâÂÄa"challenges and emerging solutions [Invited Tutorial]
    DOI: 10.1364/JOCN.470902

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