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Prateek Gupta

Prateek Gupta

Postdoctoral Fellow
Department of Marine Technology
Faculty of Engineering

prateek.gupta@ntnu.no
+4796710715 Jonsvannsveien 82, C313, Trondheim
ResearchGate SFI Smart Maritime
About Publications

About

Research Topic: 

Developing methods to monitor the propulsive performance of sea-going ships using onboard recorded in-service data.

Research Interests: Ship hydrodynamics, Propulsion systems, Statistics, Data Science, Machine Learning, Big Data analytics.

Educational Qualifications:

- PhD in Marine Hydrodynamics, NTNU, (2018-22), "Ship performance monitoring using in-service measurements and big data analysis methods". SFI Smart Maritime Project.

- MSc in Marine Technology, NTNU, (2016-18), "Experimental Investigation of Porous Structures in Splash Zone".

- B.Tech. in Ocean Engg. & Naval Architecture, IIT Kharagpur, India, (2008-12), "Experimentally investigate the reliability of theoretical methods to estimate the added wave resistance".

Work Experience:

- Reliance Naval and Engg. Ltd. (formerly RDEL / PDOECL), India, (2012-14), Production Manager - Engine room machinery piping system for Panamax bulk carriers.

- Reliance Naval and Engg. Ltd. (formerly RDEL / PDOECL), India, (2014-16), Naval Architect & Engineering Design Manager - NOPVs and Offshore platforms.

Publications

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2023

  • Gupta, Prateek; Kim, YoungRong; Steen, Sverre; Rasheed, Adil. (2023) Streamlined Semi-automatic Data Processing Framework for Ship Performance Analysis. International Journal of Naval Architecture and Ocean Engineering
    Academic article
  • Guo, Bingjie; Gupta, Prateek; Steen, Sverre; Tvete, Hans Anton. (2023) Evaluating vessel technical performance index using physics-based and data-driven approach. Ocean Engineering
    Academic article

2022

  • Gupta, Prateek; Rasheed, Adil; Steen, Sverre. (2022) Ship performance monitoring using machine-learning. Ocean Engineering
    Academic article

2021

  • Gupta, Prateek; Taskar, Bhushan; Steen, Sverre; Rasheed, Adil. (2021) Statistical modeling of Ship’s hydrodynamic performance indicator. Applied Ocean Research
    Academic article

2019

  • Gupta, Prateek; Steen, Sverre; Rasheed, Adil. (2019) Big Data Analytics As a Tool to Monitor Hydrodynamic Performance of a Ship. The American Society of Mechanical Engineers (ASME)
    Academic chapter/article/Conference paper

Journal publications

  • Gupta, Prateek; Kim, YoungRong; Steen, Sverre; Rasheed, Adil. (2023) Streamlined Semi-automatic Data Processing Framework for Ship Performance Analysis. International Journal of Naval Architecture and Ocean Engineering
    Academic article
  • Guo, Bingjie; Gupta, Prateek; Steen, Sverre; Tvete, Hans Anton. (2023) Evaluating vessel technical performance index using physics-based and data-driven approach. Ocean Engineering
    Academic article
  • Gupta, Prateek; Rasheed, Adil; Steen, Sverre. (2022) Ship performance monitoring using machine-learning. Ocean Engineering
    Academic article
  • Gupta, Prateek; Taskar, Bhushan; Steen, Sverre; Rasheed, Adil. (2021) Statistical modeling of Ship’s hydrodynamic performance indicator. Applied Ocean Research
    Academic article

Part of book/report

  • Gupta, Prateek; Steen, Sverre; Rasheed, Adil. (2019) Big Data Analytics As a Tool to Monitor Hydrodynamic Performance of a Ship. The American Society of Mechanical Engineers (ASME)
    Academic chapter/article/Conference paper
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