Prateek Gupta
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
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