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Prasanna Mohan Doss

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Prasanna Mohan Doss

PhD Candidate
Faculty of Engineering

prasanna.m.doss@ntnu.no
Vassbygget, 217, Valgrinda, S.P Andersens Veg 5, 7031, Trondheim
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About Publications Outreach

About

I am currently working as a Researcher (Ph.D. candidate) focusing on Hydroinformatics for Smart Water Systems. My research interests are in sensor fusion and fault detection & control to detect leaks and intrusion in urban drinking water systems using data-driven methods. 

I received my Bachelor's degree in Instrumentation Engineering from Anna University (India) and a Master of Science in interdisciplinary research from the Indian Institute of Technology Madras (India). My master's thesis focussed on experimental investigations of leakage detection and implementation of equitable supply policies on a modular, laboratory-scale intermittently operated water distribution system. 

Competencies

  • Instrumentation
  • Machine learning
  • Multivariate data analysis
  • Urban water systems

Publications

  • Chronological
  • By category
  • All publications registered in NVA

2024

  • Mohan Doss, Prasanna; Rokstad, Marius Møller; Tscheikner-Gratl, Franz. (2024) Leak Localization Using Autoencoders and Shapley Values. Engineering Proceedings
    Academic article
  • Mohan Doss, Prasanna; Rokstad, Marius Møller; Tscheikner-Gratl, Franz. (2024) The performance of encoder–decoder neural networks for leak detection in water distribution networks. Water Supply
    Academic article

2023

  • Mohan Doss, Prasanna; Rokstad, Marius Møller; Steffelbauer, David; Tscheikner-Gratl, Franz. (2023) Uncertainties in different leak localization methods for water distribution networks: a review. Urban Water Journal
    Academic literature review

Journal publications

  • Mohan Doss, Prasanna; Rokstad, Marius Møller; Tscheikner-Gratl, Franz. (2024) Leak Localization Using Autoencoders and Shapley Values. Engineering Proceedings
    Academic article
  • Mohan Doss, Prasanna; Rokstad, Marius Møller; Tscheikner-Gratl, Franz. (2024) The performance of encoder–decoder neural networks for leak detection in water distribution networks. Water Supply
    Academic article
  • Mohan Doss, Prasanna; Rokstad, Marius Møller; Steffelbauer, David; Tscheikner-Gratl, Franz. (2023) Uncertainties in different leak localization methods for water distribution networks: a review. Urban Water Journal
    Academic literature review

Outreach

2023

  • Conference lecture
    Mohan Doss, Prasanna; Totland, Magnus Renslo; Rokstad, Marius Møller; Tscheikner-Gratl, Franz. (2023) A comparative study of Encoder-Decoder Models for Leak Detection in Water Distribution Networks. 19th International Computing and Control for Water Industry Conference
  • Lecture
    Tscheikner-Gratl, Franz; Mohan Doss, Prasanna; Roghani, Bardia; Rokstad, Marius Møller; Muthanna, Tone Merete. (2023) Leak detection algorithms. Supporting a water-smart water sector in Bodø and across Europe

2022

  • Lecture
    Mohan Doss, Prasanna; Steffelbauer, David; Rokstad, Marius Møller; Tscheikner-Gratl, Franz. (2022) A tale of two methods: Uncertainties in data-driven versus model-based leakage detection and localization methods in water distribution systems. EGU 2022
  • Lecture
    Mohan Doss, Prasanna; Totland, Magnus Renslo; Steffelbauer, David; Piller, Olivier; Rokstad, Marius Møller; Tscheikner-Gratl, Franz. (2022) A hybrid leak detection framework using variational autoencoder surrogates. Water Loss 2022

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