World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
14943
World Ranking
6677
National Ranking
2947

Research.com Recognitions

  • 2013 - Fellow of the American Society of Mechanical Engineers
  • 2012 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Soundar R. T. Kumara is affiliated with Pennsylvania State University in the United States. Their research primarily spans the fields of engineering and computer science, with a significant focus on industrial and manufacturing engineering, artificial intelligence, mechanical engineering, electrical and electronic engineering, and automotive engineering.

The scientist's work covers a variety of topics, including:

  • Manufacturing Process and Optimization
  • Industrial Vision Systems and Defect Detection
  • Additive Manufacturing and 3D Printing Technologies
  • Additive Manufacturing Materials and Processes
  • COVID-19 diagnosis using AI
  • COVID-19 epidemiological studies
  • Data-Driven Disease Surveillance

Frequent publication venues include:

  • Manufacturing Letters
  • Journal of Computing and Information Science in Engineering
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Manufacturing Processes
  • IEEE Robotics and Automation Letters

Coauthors often collaborating with Kumara are:

  • Hui Yang
  • Paul Witherell
  • Ankur Verma
  • Timothy W. Simpson
  • Yan Lu

Recent papers include:

  • "Site suitability analysis for implementing solar PV power plants using GIS and fuzzy MCDM based approach," 2022, published in Solar Energy
  • "Six-Sigma Quality Management of Additive Manufacturing," 2020, published in Proceedings of the IEEE
  • "Early Stage Machine Learning-Based Prediction of US County Vulnerability to the COVID-19 Pandemic: Machine Learning Approach," 2020, published in JMIR Public Health and Surveillance
  • "Ontology-Driven Learning of Bayesian Network for Causal Inference and Quality Assurance in Additive Manufacturing," 2021, published in IEEE Robotics and Automation Letters
  • "Edge-cloud computing performance benchmarking for IoT based machinery vibration monitoring," 2020, published in Manufacturing Letters

Recognition for Kumara's work includes being named a Fellow of the American Society of Mechanical Engineers in 2013 and a Fellow of the American Association for the Advancement of Science (AAAS) in 2012.

Best Publications

  • Near linear time algorithm to detect community structures in large-scale networks.

    Usha Nandini Raghavan;Réka Albert;Soundar Kumara

  • Cyber-physical systems in manufacturing

    L. Monostori;L. Monostori;B. Kádár;T. Bauernhansl;T. Bauernhansl;S. Kondoh

  • Supply-chain networks: a complex adaptive systems perspective

    Amit Surana;Soundar Kumara;Mark Greaves;Usha Nandini Raghavan

  • A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests

    Dazhong Wu;Connor Jennings;Janis Terpenny;Robert X. Gao

  • Cloud-enabled prognosis for manufacturing

    Robert Gao;Lihui Wang;Roberto Teti;David Dornfeld

  • The Internet of Things for Smart Manufacturing: A Review

    Hui Yang;Soundar R. T. Kumara;Satish T. S. Bukkapatnam;Fugee Tsung

  • Survivability of multiagent-based supply networks: a topological perspect

    Thadakamaila Hp;U.N. Raghavan;S. Kumara;R. Albert

  • Effective Web Service Composition in Diverse and Large-Scale Service Networks

    S.-C. Oh;D. Lee;S.R. Kumara

  • Cooperative and responsive manufacturing enterprises

    J. Vancza;L. Monostori;Diederick Lutters;S.R. Kumara

  • Distributed energy balanced routing for wireless sensor networks

    Chang-Soo Ok;Seokcheon Lee;Prasenjit Mitra;Soundar Kumara

  • A Methodology for Product Family Ontology Development Using Formal Concept Analysis and Web Ontology Language

    Jyotirmaya Nanda;Timothy W. Simpson;Soundar R. T. Kumara;Steven B. Shooter

  • Intelligent Computing Methods for Manufacturing Systems

    R. Teti;S.R.T. Kumara

  • An unsupervised machine learning model for discovering latent infectious diseases using social media data

    Sung Hoon Lim;Conrad S. Tucker;Soundar R. T. Kumara

  • Web Service Planner (WSPR): An effective and scalable web service composition algorithm

    Seog Chan Oh;Dongwon Lee;Soundar R T Kumara

  • A comparative illustration of AI planning-based web services composition

    Seog-Chan Oh;Dongwon Lee;Soundar R. T. Kumara

  • Multiagent based dynamic resource scheduling for distributed multiple projects using a market mechanism

    Yong-Han Lee;Soundar R. T. Kumara;Kalyan Chatterjee

  • Manufacturing in the Digital Age: Exploiting Information Technologies for Product Realization

    Anantaram Balakrishnan;Soundar R. T. Kumara;Shankar Sundaresan

  • Analysis of sensor signals shows turning on a lathe exhibits low-dimensional chaos.

    Satishmohan T. S. Bukkapatnam;Akhlesh Lakhtakia;Soundar R. T. Kumara

  • A module-based service model for mass customization: service family design

    Seung Ki Moon;Jun Shu;Timothy W. Simpson;Soundar R.T. Kumara

  • Complex Networks: An Engineering View

    LiYing Cui;Soundar Kumara;Réka Albert

Frequent Co-Authors

Timothy W. Simpson
Timothy W. Simpson Pennsylvania State University
Satish T. S. Bukkapatnam
Satish T. S. Bukkapatnam Texas A&M University
Akhlesh Lakhtakia
Akhlesh Lakhtakia Pennsylvania State University
Réka Albert
Réka Albert Pennsylvania State University
László Monostori
László Monostori Budapest University of Technology and Economics
Prasenjit Mitra
Prasenjit Mitra Pennsylvania State University
Robert X. Gao
Robert X. Gao Case Western Reserve University
Dazhong Wu
Dazhong Wu University of Central Florida
Asok Ray
Asok Ray Pennsylvania State University
Yung C. Shin
Yung C. Shin Purdue University West Lafayette

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