Sudheer Kumar Battula
University of Tasmania, Federation University, Nanyang Technological University
About
Dr Sudheer Kumar Battula received his PhD in Information and Communications Technology from the University of Tasmania, Australia, supported by the prestigious Tasmania Graduate Research Scholarship (TGRS). He completed his Master of Technology in Software Engineering in 2012. He is currently a Research Fellow at the Centre for Smart Analytics, Federation University Australia. Prior to joining Federation University, he worked with Nanyang Technological University (NTU), Singapore. His research interests span across Fog computing, Blockchain, Distributed File Systems, Cloud Computing, and Big Data Analytics. He has authored more than 30 international publications, including IEEE Transactions on Parallel and Distributed Systems and Service Computing, as well as 10 Q1-ranked journals. Alongside, he has published three book chapters.
Employment
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University of Tasmania Teaching Fellow2026 - Present
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Federation University Research Fellow2023 - Present
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Nanyang Technological University Researcher2022 - 2023
Education
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University of Tasmania Ph.D2017 - 2021
Projects & Funding
Projects & funding information is unavailable.
Publications (40)
- A Resource Selection Model for Minimization of Disruptions in Public Fog Computing Environments Save
- HyPySim: A Permissioned Blockchain Simulator with Execute–Order–Validate Pipeline Save
- A Hybrid Multi-Task Network Traffic Classification Model Based on Transformer and Mamba Save
- Double DQN-GAMO: A Cyber Threat Detection Framework for Zero-Day Attacks Save
- Intelligent transportation system for automated medical services during pandemic Save
- IoMT Patient Monitoring with Blockchain and Fog Computing: A Secure and Efficient Architecture Save
- Regional-Level Disaggregation of EV Uptake Energy Consumption Using Bottom-Up Approach Save
- Application and user-specific data prefetching and parallel read algorithms for distributed file systems Save
- Fog Device-as-a-Service (FDaaS): A Framework for Service Deployment in Public Fog Environments Save
- HRFP: Highly Relevant Frequent Patterns-Based Prefetching and Caching Algorithms for Distributed File Systems Save