Prof Rajkumar Buyya
Professor
School of Computing and Information Systems
1341 Scholarly works
36 Projects
HIGHLIGHTS
2026
Journal article
EVerGen: Optimal path planning for electric vehicle using modified genetic algorithm in internet of vehicular things
DOI: 10.1016/j.compeleceng.2026.1111482026
Journal article
PIFGSR: Pluggable framework for information fusion using generative artificial intelligence (GenAI) in recommender systems
DOI: 10.1016/j.inffus.2025.1040042026
Journal article
A joint time and energy-efficient federated learning-based computation offloading method for mobile edge computing
DOI: 10.1016/j.future.2025.1082952026
Journal article
Energy-Efficient Resource Management in Microservices-Based Fog and Edge Computing: State-of-the-Art and Future Directions
DOI: 10.1145/37979112025
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
RECENT SCHOLARLY WORKS
2026
Journal article
qIoV: A quantum-driven approach for environmental monitoring and rapid response systems using internet of vehicles
DOI: 10.1016/j.adhoc.2026.1041582026
Journal article
Scaling Approaches for Serverless Data Pipelines in Edge and Fog Computing Environments: A Performance Evaluation
DOI: 10.1145/37471862026
Journal article
QFOR: A Fidelity-aware Orchestrator for Quantum Computing Environments using Deep Reinforcement Learning
DOI: 10.1145/37998982026
Journal article
DOPD: A Dynamic PD-Disaggregation Architecture for Maximizing Goodput in LLM Inference Serving
DOI: 10.1109/TSC.2026.36700112026
Journal article
An enhanced hybrid deep neural network method for adjusted industrial time series prediction with variable operating states
DOI: 10.1016/j.eswa.2025.1300292026
Journal article
A Decentralized Root Cause Localization Approach for Edge Computing Environments
DOI: 10.1109/TSC.2026.3668228
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