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Vaidy S. Sunderam

Vaidy S. Sunderam

D-Index & Metrics

Computer Science

D-Index
40
Citations
11160
World Ranking
9080
National Ranking
3859

Overview

Vaidy S. Sunderam is affiliated with Emory University in the United States and has a research portfolio focusing on computer science and engineering disciplines. Their work spans multiple areas within these fields, emphasizing developments and applications in artificial intelligence, control and systems engineering, computer networks and communications, information systems, and computer science applications.

The scientist's recent publications cover topics such as maintenance approaches in the power industry, predictive failure detection in autonomous guided vehicles, and 3D rendering platforms for mixed reality. Notable papers include:

  • From Corrective to Predictive Maintenance-A Review of Maintenance Approaches for the Power Industry, 2023, Sensors
  • Federated Learning for improved prediction of failures in Autonomous Guided Vehicles, 2023, Journal of Computational Science
  • VanityX: An Agile 3D Rendering Platform Supporting Mixed Reality, 2023, Applied Sciences

Sunderam has collaborated frequently with several researchers, including Dariusz Mrozek, Bożena Małysiak-Mrozek, Bohdan Shubyn, Daniel Kostrzewa, and Piotr Grzesik. These collaborations have contributed to multiple studies and publications across their areas of expertise.

Their research interests are particularly focused on a range of topics within computer science and engineering:

  • Privacy-Preserving Technologies in Data
  • Anomaly Detection Techniques and Applications
  • Mobile Crowdsensing and Crowdsourcing
  • IoT and Edge/Fog Computing
  • Blockchain Technology Applications and Security
  • Speech Recognition and Synthesis
  • Speech and Dialogue Systems

Sunderam's research has been published in various academic venues, reflective of their diverse scientific engagement. Key publication venues associated with their work include:

  • Sensors
  • Journal of Computational Science
  • Applied Sciences

Their contribution to the field encompasses 22 publications categorized broadly in computer science, with a portion related to engineering topics. Subfields with significant involvement include artificial intelligence, where they have 11 publications, alongside contributions in control and systems engineering, computer networks and communications, computer science applications, and information systems.

Best Publications

  • PVM: Parallel virtual machine: a users' guide and tutorial for networked parallel computing

    Al Geist;Adam Beguelin;Jack Dongarra;Weicheng Jiang

  • PVM: a framework for parallel distributed computing

    V. S. Sunderam

  • The PVM concurrent computing system: evolution, experiences, and trends

    V. S. Sunderam;G. A. Geist;J. Dongarra;J. Dongarra;R. Manchek

  • A User''s Guide to PVM Parallel Virtual Machine

    Adam Beguelin;Jack Dongarra;Al Geist;Robert Manchek

  • Network-based concurrent computing on the PVM system

    G. A. Geist;V. S. Sunderam

  • Integrated Pvm Framework Supports Heterogeneous Network Computing

    Jack Dongarra;G. A. Geist;Robert Manchek;V. S. Sunderam

  • Visualization and debugging in a heterogeneous environment

    Adam Beguelin;Jack Dongarra;Al Geist;Vaidy Sunderam

  • Computational Science – ICCS 2005

    Vaidy S. Sunderam;Geert Dick van Albada;Peter M. A. Sloot;Jack J. Dongarra

  • Spatial Task Assignment for Crowd Sensing with Cloaked Locations

    Layla Pournajaf;Li Xiong;Vaidy Sunderam;Slawomir Goryczka

  • PIOUS: a scalable parallel I/O system for distributed computing environments

    S.A. Moyer;V.S. Sunderam

  • Characterizing Grids: Attributes, Definitions, and Formalisms

    Zsolt Németh;Vaidy S. Sunderam

  • Participant Privacy in Mobile Crowd Sensing Task Management: A Survey of Methods and Challenges

    Layla Pournajaf;Daniel A. Garcia-Ulloa;Li Xiong;Vaidy Sunderam

  • Harness: a next generation distributed virtual machine

    Micah Beck;Jack J. Dongarra;Jack J. Dongarra;Graham E. Fagg;G. Al Geist

  • The PVM System: Supercomputer Level Concurrent Computation on a Heterogeneous Network of Workstations

    G.A. Geist;V.S. Sunderam

  • TOWARDS SELF-ORGANIZING DISTRIBUTED COMPUTING FRAMEWORKS: THE H2O APPROACH

    Dawid Kurzyniec;Tomasz Wrzosek;Dominik Drzewiecki;Vaidy S. Sunderam

  • IceT: distributed computing and Java

    Paul A. Gray;Vaidy S. Sunderam

  • Performance of the NAS Parallel Benchmarks on PVM-Based Networks

    S. White;A. Alund;V.S. Sunderam

  • Empirical analysis of overheads in cluster environments

    Brian K. Schmidt;Vaidy S. Sunderam

  • Differentially private multi-dimensional time series release for traffic monitoring

    Liyue Fan;Li Xiong;Vaidy Sunderam

  • Secure multiparty aggregation with differential privacy: a comparative study

    Slawomir Goryczka;Li Xiong;Vaidy Sunderam

Frequent Co-Authors

Li Xiong
Li Xiong Emory University
Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
John Stasko
John Stasko Georgia Institute of Technology
Alessandro Veneziani
Alessandro Veneziani Emory University
Peter M. A. Sloot
Peter M. A. Sloot University of Amsterdam
Richard M. Fujimoto
Richard M. Fujimoto Georgia Institute of Technology
William Gropp
William Gropp University of Illinois at Urbana-Champaign
Cyrus Shahabi
Cyrus Shahabi University of Southern California
Hermann Hellwagner
Hermann Hellwagner University of Klagenfurt
Piotr Luszczek
Piotr Luszczek University of Tennessee at Knoxville

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