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Satish T. S. Bukkapatnam

Satish T. S. Bukkapatnam

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
5187
World Ranking
8725
National Ranking
2421

Overview

Satish T. S. Bukkapatnam is affiliated with Texas A&M University in the United States. Their research contributions are primarily situated within the field of Engineering, with a particular focus on Mechanical Engineering, Industrial and Manufacturing Engineering, Biomedical Engineering, Automotive Engineering, and Computational Mechanics.

The scientist has published extensively in topics related to Additive Manufacturing Materials and Processes, Additive Manufacturing and 3D Printing Technologies, Manufacturing Process and Optimization, Industrial Vision Systems and Defect Detection, Advanced Surface Polishing Techniques, Advanced Machining Processes and Optimization, and Welding Techniques and Residual Stresses.

Frequent publication venues for their work include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Manufacturing Processes
  • Manufacturing Letters
  • IISE Transactions

Significant recent papers authored or coauthored by Satish T. S. Bukkapatnam include:

  • A Review of the Anomalies in Directed Energy Deposition (DED) Processes & Potential Solutions - Part Quality & Defects (2021), published in Procedia Manufacturing
  • Additive Manufacturing Cyber-Physical System: Supply Chain Cybersecurity and Risks (2020), published in IEEE Access
  • Effect of flax fiber orientation on machining behavior and surface finish of natural fiber reinforced polymer composites (2020), published in Journal of Manufacturing Processes
  • Acoustic Emission Characterization of Natural Fiber Reinforced Plastic Composite Machining Using a Random Forest Machine Learning Model (2020), published in Journal of Manufacturing Science and Engineering
  • Explainable AI (XAI)-driven vibration sensing scheme for surface quality monitoring in a smart surface grinding process (2023), published in Journal of Manufacturing Processes

Collaborative research has been carried out with frequent co-authors including Akash Tiwari, Yuhao Zhong, Adithyaa Karthikeyan, Himanshu Balhara, and Yu Ding.

Best Publications

  • The Internet of Things for Smart Manufacturing: A Review

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

  • Time series forecasting for nonlinear and non-stationary processes: a review and comparative study

    Changqing Cheng;Akkarapol Sa-Ngasoongsong;Omer Beyca;Trung Le

  • Optimal Slack Time for Schedule-Based Transit Operations

    Jiamin Zhao;Maged Dessouky;Satish Bukkapatnam

  • Experimental investigation of contour crafting using ceramics materials

    Behrokh Khoshnevis;Satish Bukkapatnam;Hongkyu Kwon;Jason Saito

  • A Review of the Anomalies in Directed Energy Deposition (DED) Processes & Potential Solutions - Part Quality & Defects

    Michael Liu;Abhishek Kumar;Satish Bukkapatnam;Mathew Kuttolamadom

  • Graphitization as a precursor to wear of diamond in machining pure iron: A molecular dynamics investigation

    R. Narulkar;S. Bukkapatnam;L.M. Raff;R. Komanduri

  • Neural Networks in Chemical Reaction Dynamics

    Lionel Raff;Ranga Komanduri;Martin Hagan;Satish Bukkapatnam

  • Additive Manufacturing Cyber-Physical System: Supply Chain Cybersecurity and Risks

    Nikhil Gupta;Akash Tiwari;Satish T. S. Bukkapatnam;Ramesh Karri

  • Distributed architecture for real-time coordination of bus holding in transit networks

    Jiamin Zhao;S. Bukkapatnam;M.M. Dessouky

  • Linear affine transformations between 3-lead (Frank XYZ leads) vectorcardiogram and 12-lead electrocardiogram signals

    Drew Dawson;Hui Yang;Milind Malshe;Satish T.S. Bukkapatnam

  • Spatiotemporal representation of cardiac vectorcardiogram (VCG) signals

    Hui Yang;Satish T S Bukkapatnam;Ranga Komanduri

  • Crafting large prototypes

    B. Khoshnevis;R. Russell;Hongkyu Kwon;S. Bukkapatnam

  • Fractal Estimation of Flank Wear in Turning

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

  • Analysis of acoustic emission signals in machining

    S. T. S. Bukkapatnam;S. R. T. Kumara;A. Lakhtakia

  • Development of generalized potential-energy surfaces using many-body expansions, neural networks, and moiety energy approximations

    M. Malshe;R. Narulkar;L. M. Raff;M. Hagan

  • Real-Time Identification of Incipient Surface Morphology Variations in Ultraprecision Machining Process

    Prahalad Rao;Satish Bukkapatnam;Omer Beyca;Zhenyu (James) Kong

  • Nonlinear adaptive wavelet analysis of electrocardiogram signals

    H. Yang;S. T. Bukkapatnam;R. Komanduri

  • Online non-contact surface finish measurement in machining using graph theory-based image analysis

    M. Samie Tootooni;Chenang Liu;David Roberson;Ryan Donovan

  • Forecasting the evolution of nonlinear and nonstationary systems using recurrence-based local Gaussian process models.

    Satish T. S. Bukkapatnam;Changqing Cheng

  • Wireless Wearable Multisensory Suite and Real-Time Prediction of Obstructive Sleep Apnea Episodes

    T. Q. Le;Changqing Cheng;A. Sangasoongsong;W. Wongdhamma

  • Built-up-edge effects on surface deterioration in micromilling processes

    Z. Wang;V. Kovvuri;Anna Carla Araujo;M. Bacci

Frequent Co-Authors

Ranga Komanduri
Ranga Komanduri Oklahoma State University
Soundar R. T. Kumara
Soundar R. T. Kumara Pennsylvania State University
Akhlesh Lakhtakia
Akhlesh Lakhtakia Pennsylvania State University
Mohamed El Mansori
Mohamed El Mansori Arts et Metiers Institute of Technology
Behrokh Khoshnevis
Behrokh Khoshnevis University of Southern California
Maged Dessouky
Maged Dessouky University of Southern California
Yang Hong
Yang Hong University of Oklahoma
Jeffrey B. Basara
Jeffrey B. Basara University of Oklahoma
Yu Ding
Yu Ding Georgia Institute of Technology
Nikhil Gupta
Nikhil Gupta New York University

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