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Shivakumar Vaithyanathan

Shivakumar Vaithyanathan

D-Index & Metrics

Computer Science

D-Index
37
Citations
17347
World Ranking
10436
National Ranking
4357

Overview

Shivakumar Vaithyanathan is affiliated with IBM in the United States, contributing to the field of engineering with a focus on industrial and manufacturing engineering. Their work intersects with the area of digital transformation in industry, which is a primary topic in their research activities.

The scientist has published research in venues such as arXiv (Cornell University). A recent paper authored by Vaithyanathan is titled Evaluation and Continual Improvement for an Enterprise AI Assistant, published in 2024. This paper reflects ongoing research efforts in enterprise artificial intelligence systems and their performance optimization.

Coauthor collaborations play a significant role in Vaithyanathan's research. Frequent collaborators include Akash V. Maharaj, Kun Qian, Uttaran Bhattacharya, Sally Fang, and Horia Galatanu. These partnerships indicate a multidisciplinary and cooperative research approach within the domain of engineering and AI-assisted technologies.

  • Akash V. Maharaj
  • Kun Qian
  • Uttaran Bhattacharya
  • Sally Fang
  • Horia Galatanu

Vaithyanathan's research is primarily categorized within engineering, with a specialized subfield in industrial and manufacturing engineering. This specialization supports the investigation of advanced technologies contributing to the digital transformation of industrial processes.

  • Engineering

  • Industrial and Manufacturing Engineering

  • Digital Transformation in Industry

The scientific contributions of Vaithyanathan are situated within emerging areas of AI application in enterprise environments, showcasing efforts to improve and evaluate AI systems continuously. The combination of engineering principles and industrial applications defines the scope and impact of their research endeavors.

Best Publications

  • Thumbs up? Sentiment Classification using Machine Learning Techniques

    Bo Pang;Lillian Lee;Shivakumar Vaithyanathan

  • SystemML: Declarative machine learning on MapReduce

    Amol Ghoting;Rajasekar Krishnamurthy;Edwin Pednault;Berthold Reinwald

  • Web Services Business Process Execution Language

    Unknown

  • Web Data Mining

    Unknown

  • Surfaid predictor: web-based system for predicting surfer behavior

    David Charles Martin;Hansel Joseph Miranda;Mark Paul Plutowski;William Scott Spangler

  • Regular Expression Learning for Information Extraction

    Yunyao Li;Rajasekar Krishnamurthy;Sriram Raghavan;Shivakumar Vaithyanathan

  • Method and apparatus for cluster exploration and visualization

    Dharmendra Shantilal Mohda;David Charles Martin;William Scott Spangler;Shivakumar Vaithyanathan

  • SystemT: An Algebraic Approach to Declarative Information Extraction

    Laura Chiticariu;Rajasekar Krishnamurthy;Yunyao Li;Sriram Raghavan

  • SystemT: a system for declarative information extraction

    Rajasekar Krishnamurthy;Yunyao Li;Sriram Raghavan;Frederick Reiss

  • Domain Adaptation of Rule-Based Annotators for Named-Entity Recognition Tasks

    Laura Chiticariu;Rajasekar Krishnamurthy;Yunyao Li;Frederick Reiss

  • OLAP over uncertain and imprecise data

    Doug Burdick;Prasad M. Deshpande;T. S. Jayram;Raghu Ramakrishnan

  • Exploiting clustering and phrases for context-based information retrieval

    Peter G. Anick;Shivakumar Vaithyanathan

  • An Algebraic Approach to Rule-Based Information Extraction

    F. Reiss;S. Raghavan;R. Krishnamurthy;Huaiyu Zhu

  • The Sentimental Factor: Improving Review Classification Via Human-Provided Information

    Philip Beineke;Trevor Hastie;Shivakumar Vaithyanathan

  • Managing information extraction: state of the art and research directions

    AnHai Doan;Raghu Ramakrishnan;Shivakumar Vaithyanathan

  • Hybrid parallelization strategies for large-scale machine learning in SystemML

    Matthias Boehm;Shirish Tatikonda;Berthold Reinwald;Prithviraj Sen

  • Avatar semantic search: a database approach to information retrieval

    Eser Kandogan;Rajasekar Krishnamurthy;Sriram Raghavan;Shivakumar Vaithyanathan

  • Systeme und Verfahren zur Verarbeitung von maschinellen Lernalgorithmen in einer Mapreduce-Umgebung

    Berthold Reinwald;Shivakumar Vaithyanathan;Vikas Sindhwani;Shirish Tatikonda

  • Model-based hierarchical clustering

    Shivakumar Vaithyanathan;Byron Dom

  • An exploration of sentiment summarization

    Philip Beineke;Trevor Hastie;Christopher Manning;Shivakumar Vaithyanathan

  • Method to hierarchical pooling of opinions from multiple sources

    Ashutosh Garg;Jayram S. Thathachar;Shivakumar Vaithyanathan;Huaiyu Zhu

  • Clustering mixed attribute patterns

    David C. Martin;Dharmendra Shantilal Modha;Shivakumar Vaithyanathan

Frequent Co-Authors

Byron Dom
Byron Dom Yahoo! Research
Berthold Reinwald
Berthold Reinwald IBM (United States)
Raghu Ramakrishnan
Raghu Ramakrishnan Microsoft (United States)
Lucian Popa
Lucian Popa IBM (United States)
Ashutosh Garg
Ashutosh Garg Google (United States)
Vikas Sindhwani
Vikas Sindhwani Google (United States)
AnHai Doan
AnHai Doan University of Wisconsin–Madison
Georgia Koutrika
Georgia Koutrika Athena Research Center
Lillian Lee
Lillian Lee Cornell University
T. S. Jayram
T. S. Jayram Lawrence Livermore National Laboratory

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