World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
19957
World Ranking
4952
National Ranking
2303

Overview

Shivnath Babu is affiliated with Duke University in the United States and conducts research primarily in the fields of Engineering and Computer Science. Their work spans various subfields, including Electrical and Electronic Engineering, Information Systems, Artificial Intelligence, Automotive Engineering, and Computer Networks and Communications.

Their research focuses on several main topics, notably advancements in battery materials, advanced battery technologies research, and advanced battery materials and technologies. Additional areas of interest include extraction and separation processes, supercapacitor materials and fabrication, cloud data security solutions, and smart agriculture utilizing artificial intelligence.

Shivnath Babu has contributed to multiple publications in diverse venues. Frequent publication venues include Materials Today Proceedings, the 2022 8th International Conference on Smart Structures and Systems (ICSSS), Electrochimica Acta, the International Journal of Innovative Technology and Exploring Engineering, and the SSRN Electronic Journal.

Notable recent papers include:

  • MOF-derived porous NiCo2O4 nanofile arrays as an efficient anode material for rechargeable Li-ion batteries, 2023, Journal of Alloys and Compounds
  • Patient Health Monitoring System using IOT, 2022, 2022 8th International Conference on Smart Structures and Systems (ICSSS)
  • Detection of Rice Plant Disease Using Deep Learning Techniques, 2022, Journal of Mobile Multimedia
  • A Secure Framework for Privacy-Preserving Analytics in Healthcare Records Using Zero-Knowledge Proofs and Blockchain in Multi-Tenant Cloud Environments, 2024, IEEE Access

The scientist regularly collaborates with other researchers, including R. Pitchai, Wei-Ren Liu, P. Supraja, S. Anjanayya, and J. John Donald Raj. These frequent coauthors have contributed jointly to various studies, reflecting ongoing collaborative efforts.

Best Publications

  • Models and issues in data stream systems

    Brian Babcock;Shivnath Babu;Mayur Datar;Rajeev Motwani

  • The CQL continuous query language: semantic foundations and query execution

    Arvind Arasu;Shivnath Babu;Jennifer Widom

  • STREAM: the stanford stream data manager (demonstration description)

    Arvind Arasu;Brian Babcock;Shivnath Babu;Mayur Datar

  • Continuous queries over data streams

    Shivnath Babu;Jennifer Widom

  • Query Processing, Resource Management, and Approximation ina Data Stream Management System

    Rajeev Motwani;Jennifer Widom;Arvind Arasu;Brian Babcock

  • Starfish: A Self-tuning System for Big Data Analytics.

    Herodotos Herodotou;Harold Lim;Gang Luo;Nedyalko Borisov

  • Query Processing, Approximation, and Resource Management in a Data Stream Management System.

    Rajeev Motwani;Jennifer Widom;Arvind Arasu;Brian Babcock

  • Profiling, what-if analysis, and cost-based optimization of MapReduce programs

    Herodotos Herodotou;Shivnath Babu

  • STREAM: The Stanford Data Stream Management System

    Arvind Arasu;Brian Babcock;Shivnath Babu;John Cieslewicz

  • STREAM: The Stanford Stream Data Manager.

    Arvind Arasu;Brian Babcock;Shivnath Babu;Mayur Datar

  • Automated control in cloud computing: challenges and opportunities

    Harold C. Lim;Shivnath Babu;Jeffrey S. Chase;Sujay S. Parekh

  • Towards automatic optimization of MapReduce programs

    Shivnath Babu

  • Chain: operator scheduling for memory minimization in data stream systems

    Brian Babcock;Shivnath Babu;Rajeev Motwani;Mayur Datar

  • Automated control for elastic storage

    Harold C. Lim;Shivnath Babu;Jeffrey S. Chase

  • No one (cluster) size fits all: automatic cluster sizing for data-intensive analytics

    Herodotos Herodotou;Fei Dong;Shivnath Babu

  • Tuning database configuration parameters with iTuned

    Songyun Duan;Vamsidhar Thummala;Shivnath Babu

  • Adaptive ordering of pipelined stream filters

    Shivnath Babu;Rajeev Motwani;Kamesh Munagala;Itaru Nishizawa

  • Characterizing memory requirements for queries over continuous data streams

    Arvind Arasu;Brian Babcock;Shivnath Babu;Jon McAlister

  • STREAM: The Stanford Stream Data Manager.

    Arvind Arasu;Brian Babcock;Shivnath Babu;Mayur Datar

  • Operator scheduling in data stream systems

    Brian Babcock;Shivnath Babu;Mayur Datar;Rajeev Motwani

Frequent Co-Authors

Jennifer Widom
Jennifer Widom Stanford University
Arvind Arasu
Arvind Arasu Microsoft (United States)
Rajeev Motwani
Rajeev Motwani Stanford University
Ashraf Aboulnaga
Ashraf Aboulnaga The University of Texas at Arlington
Kamesh Munagala
Kamesh Munagala Duke University
Jeffrey S. Chase
Jeffrey S. Chase Duke University
Jun Yang
Jun Yang Duke University
Minos Garofalakis
Minos Garofalakis Technical University of Crete
Rajeev Rastogi
Rajeev Rastogi Amazon (United States)
David J. DeWitt
David J. DeWitt University of Wisconsin–Madison

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