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Contact


Email

rbuyya@unimelb.edu.au

Credentials


Position
Professor
School of Computing and Information Systems
Education
Doctoral Degree (Research) / PhD
Monash University
Masters Degree (Coursework)
Bangalore University
Bachelors Degree
University of Mysore
ORCID

0000-0001-9754-6496

Prof Rajkumar Buyya

Professor
School of Computing and Information Systems

1392 Scholarly works
36 Projects

HIGHLIGHTS

  • 2027

    Journal article

    Preface
  • 2027

    Journal article

    Preface
  • 2026

    Journal article

    Generative AI in the age of quantum computing: A taxonomy, architectural elements and future directions
    DOI: 10.1016/j.future.2026.108714
  • 2026

    Journal article

    Quantum Artificial Intelligence for mission-critical systems: Foundations, architectural elements, and future directions
    DOI: 10.1016/j.future.2026.108602
  • 2025

    Research grants (other domestic)

    Algorithms and Software System for Distributed Quantum Computing for Large-Scale Applications
  • 2024

    Research grants (ARC, NHMRC, MRFF)

    Causal Knowledge-Empowered Adaptive Federated Learning
  • 2017

    Research Grant

    Cost-Efficient Orchestration of Containers in Clouds
Rajkumar Buyya

Latest Honours,
Awards and Fellowships


2022
Foreign Fellow, Academia Europea
2017
2017 Web of Science Highly Cited Researcher
2017
Scopus Researcher of the Year 2017 with Excellence in Innovative Research Award, Elsevier
2017
University of Melbourne

RECENT SCHOLARLY WORKS

  • 2026

    Journal article

    A multi-domain cooperative scheduling framework for distributed stream computing systems
    DOI: 10.1016/j.future.2026.108616
  • 2026

    Journal article

    Neuromorphic quantum computing: A survey and future directions in evolutionary and gradient-based learning strategies for quantum spiking neural networks
    DOI: 10.1016/j.neucom.2026.134580
  • 2026

    Journal article

    Dynamic Function Configuration and its Management in Serverless Computing: A Taxonomy and Future Directions
    DOI: 10.1145/3821534
  • 2026

    Journal article

    Differential privacy for secure machine learning in healthcare IoT–Cloud systems
    DOI: 10.1016/j.future.2026.108548
  • 2026

    Journal article

    MMK: A Hybrid Scheduling Framework for Fine-Grained GPU Sharing for Deep Learning Applications
    DOI: 10.1145/3820163
  • 2026

    Journal article

    FaaShare: Enabling Generic Low-Latency and SLO-Aware GPU Sharing in Serverless Computing
    DOI: 10.1109/TPDS.2026.3704608

RECENT PROJECTS

  • 2022

    Research Grant

    Optimizing Deep Learning Clusters With Transient Capacity Using Artificial Intelligence
  • 2016

    Research Grant

    Algorithms and Software Systems for Management of Software-Defined Clouds

Acknowledgement of Country

We acknowledge Aboriginal and Torres Strait Islander people as the Traditional Owners of the unceded lands on which we work, learn and live. We pay respect to Elders past, present and future, and acknowledge the importance of Indigenous knowledge in the Academy.

Read about our Indigenous priorities

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Victoria, 3010, Australia

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