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Kotagiri Ramamohanarao

Kotagiri Ramamohanarao

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Computer Science
Australia
2025

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Kotagiri Ramamohanarao is affiliated with the University of Melbourne in Australia and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence, computer networks and communications, and radiology among other areas. They have published 57 papers in computer science, covering a range of subfields and research topics.

The scientist's research spans several subfields of study including:

  • Artificial Intelligence
  • Computer Networks and Communications
  • Radiology, Nuclear Medicine and Imaging
  • Genetics
  • Computer Vision and Pattern Recognition

Main topics of their work include:

  • IoT and Edge/Fog Computing
  • Cloud Computing and Resource Management
  • Functional Brain Connectivity Studies
  • Data Stream Mining Techniques
  • Advanced Neuroimaging Techniques and Applications
  • Genetic Associations and Epidemiology
  • Genetic Mapping and Diversity in Plants and Animals

Selected recent papers illustrate the breadth and depth of their research:

  • "Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments Using A3C Learning and Residual Recurrent Neural Networks" (2020), published in IEEE Transactions on Mobile Computing
  • "Application Management in Fog Computing Environments: A Taxonomy, Review and Future Directions" (2020), arXiv (Cornell University)
  • "Modern computing: Vision and challenges" (2024), Telematics and Informatics Reports
  • "Structure-function coupling in the human connectome: A machine learning approach" (2020), NeuroImage
  • "Preserving Privacy in the Internet of Connected Vehicles" (2020), IEEE Transactions on Intelligent Transportation Systems

Frequent co-authors throughout their career include:

  • Rajkumar Buyya
  • Andrew Zalesky
  • Tabinda Sarwar
  • Sukhpal Singh Gill
  • Huaming Wu

Ramamohanarao has published frequently in several venues, notably:

  • arXiv (Cornell University)
  • NeuroImage
  • bioRxiv (Cold Spring Harbor Laboratory)
  • IEEE Transactions on Parallel and Distributed Systems
  • ACM Computing Surveys

Best Publications

  • Survey of network-based defense mechanisms countering the DoS and DDoS problems

    Tao Peng;Christopher Leckie;Kotagiri Ramamohanarao

  • A model for spectra-based software diagnosis

    Lee Naish;Hua Jie Lee;Kotagiri Ramamohanarao

  • Workflow scheduling algorithms for grid computing

    Jia Yu;Rajkumar Buyya;Kotagiri Ramamohanarao

  • An effective retinal blood vessel segmentation method using multi-scale line detection

    Uyen T. V. Nguyen;Alauddin Bhuiyan;Laurence A. F. Park;Kotagiri Ramamohanarao

  • Inverted files versus signature files for text indexing

    Justin Zobel;Alistair Moffat;Kotagiri Ramamohanarao

  • A taxonomy of Data Grids for distributed data sharing, management, and processing

    Srikumar Venugopal;Rajkumar Buyya;Kotagiri Ramamohanarao

  • Protection from distributed denial of service attacks using history-based IP filtering

    Tao Peng;C. Leckie;K. Ramamohanarao

  • Quality of Experience (QoE)-aware placement of applications in Fog computing environments

    Redowan Mahmud;Satish Narayana Srirama;Satish Narayana Srirama;Kotagiri Ramamohanarao;Rajkumar Buyya

  • Authorized Public Auditing of Dynamic Big Data Storage on Cloud with Efficient Verifiable Fine-Grained Updates

    Chang Liu;Jinjun Chen;Laurence T. Yang;Xuyun Zhang

  • An estimation of sensor energy consumption

    Malka N. Halgamuge;Moshe Zukerman;Kotagiri Ramamohanarao;Hai L. Vu

  • Proactively detecting distributed denial of service attacks using source IP address monitoring

    Tao Peng;Christopher Leckie;Kotagiri Ramamohanarao

  • Tensor Canonical Correlation Analysis for Multi-View Dimension Reduction

    Yong Luo;Dacheng Tao;Kotagiri Ramamohanarao;Chao Xu

  • Making use of the most expressive jumping emerging patterns for classification

    Jinyan Li;Guozhu Dong;Kotagiri Ramamohanarao

  • Latency-Aware Application Module Management for Fog Computing Environments

    Redowan Mahmud;Kotagiri Ramamohanarao;Rajkumar Buyya

  • Mapping connectomes with diffusion MRI: deterministic or probabilistic tractography?

    Tabinda Sarwar;Kotagiri Ramamohanarao;Andrew Zalesky

  • Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments using A3C learning and Residual Recurrent Neural Networks

    Shreshth Tuli;Shashikant Ilager;Kotagiri Ramamohanarao;Rajkumar Buyya

  • Modern Computing: Vision and Challenges

    Unknown

  • A generalization of the differential approach to recursive query evaluation

    I. Balbin;K. Ramamohanarao

  • Application Management in Fog Computing Environments: A Taxonomy, Review and Future Directions

    Redowan Mahmud;Kotagiri Ramamohanarao;Rajkumar Buyya

  • Role engineering using graph optimisation

    Dana Zhang;Kotagiri Ramamohanarao;Tim Ebringer

  • Robust Scheduling of Scientific Workflows with Deadline and Budget Constraints in Clouds

    Deepak Poola;Saurabh Kumar Garg;Rajkumar Buyya;Yun Yang

  • Multikey access methods based on superimposed coding techniques

    R. Sacks-Davis;A. Kent;K. Ramamohanarao

  • Proceedings of the 27th International Conference on Very Large Data Bases

    Peter M. G. Apers;Paolo Atzeni;Stefano Ceri;Stefano Paraboschi

  • Tensor Canonical Correlation Analysis for Multi-view Dimension Reduction

    Yong Luo;Dacheng Tao;Yonggang Wen;Kotagiri Ramamohanarao

Frequent Co-Authors

James Bailey
James Bailey University of Melbourne
Christopher Leckie
Christopher Leckie University of Melbourne
Rajkumar Buyya
Rajkumar Buyya University of Melbourne
Lars Kulik
Lars Kulik University of Melbourne
Rui Zhang
Rui Zhang National University of Singapore
Guozhu Dong
Guozhu Dong Wright State University
Jinyan Li
Jinyan Li University of Technology Sydney
Peter J. Stuckey
Peter J. Stuckey Monash University
Wei Liu
Wei Liu University of Technology Sydney
James C. Bezdek
James C. Bezdek University of Melbourne

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