Bilde av Dhar, Sushmit
Bilde av Dhar, Sushmit
Institutt for automasjon og prosessteknologi sushmit.dhar@uit.no +4777646364 Tromsø You can find me here

Sushmit Dhar


  • Sushmit Dhar, Masoud Naseri, Tiantian Zhu, Kåre Edvardsen :
    Measurement and Modeling of Spray Frequency and Duration Using Capacitive Sensors for Marine Icing Prediction
    International Journal of Offshore and Polar Engineering 10. mars 2025 DOI
  • Sushmit Dhar, Masoud Naseri, Romain Ceolato, Tiantian Zhu, Hassan Abbas Khawaja, Kåre Edvardsen :
    A framework for measurement and modeling of sea spray frequency: A probabilistic approach and a synthetic data-based machine-learning method
    Quarterly Journal of the Royal Meteorological Society 29. juin 2025 DOI
  • Aqsa Rahim, Sushmit Dhar, Fuqing Yuan, Javad Barabady :
    A fuzzy system for detection of road slipperiness in Arctic snowy conditions using LiDAR
    Frontiers in Artificial Intelligence 02. juillet 2025 DOI / ARKIV
  • Sushmit Dhar, Masoud Naseri, Tiantian Zhu, Kåre Edvardsen :
    A Novel Device for Accurate Measurement of Spray Frequency and Duration using Capacitive Liquid Sensors in Marine Icing Estimation
    ISOPE - International Offshore and Polar Engineering Conference. Proceedings 16. juin 2024 ARKIV / FULLTEKST
  • Sushmit Dhar, Masoud Naseri, Hassan Abbas Khawaja, Eirik Mikal Samuelsen, Kåre Edvardsen, Javad Barabady :
    Sea-spray measurement tools and technique employed in marine icing field expeditions: A critical literature review and assessment using CFD simulations
    Cold Regions Science and Technology 2024 DOI / ARKIV
  • Behrooz Ashrafi, Gibeom Kim, Masoud Naseri, Javad Barabady, Sushmit Dhar, Gyunyoung Heo et al.:
    An agent-based modelling framework for performance assessment of search and rescue operations in the Barents Sea
    Safety in Extreme Environments 2024 DOI / ARKIV
  • Tiantian Zhu, Masoud Naseri, Sushmit Dhar, Behrooz Ashrafi :
    Reinforcement Learning for Fishing Route Planning and Optimization
    2024 DOI / ARKIV
  • Tiantian Zhu, Masoud Naseri, Sushmit Dhar :
    A multi-stage multi-criteria dynamic decision-making framework for fishing route planning and optimization
    2024 ARKIV
  • Sushmit Dhar, Hassan Abbas Khawaja :
    Real-Time Ship Draft Measurement and Optimal Estimation Using Kalman Filter
    The International Journal of Multiphysics 2023 DOI / ARKIV
  • Sushmit Dhar, Masoud Naseri, Hassan Abbas Khawaja, Kåre Edvardsen, Tiantian Zhu :
    Design, development and deployment of a novel sea spray collector for sea-spray flux measurements
    Cold Regions Science and Technology 2023 DOI / ARKIV
  • Sushmit Dhar, Eirik Mikal Samuelsen, Masoud Naseri, Karl Gunnar Aarsæther, Kåre Edvardsen :
    Spray Icing on ONEGA Vessel- A Comparison of Liquid Water Content Expressions
    2022 DOI / ARKIV
  • Sushmit Dhar, Hassan Khawaja :
    Recognizing potential of LiDAR for comprehensive measurement of sea spray flux for improving the prediction of marine icing in cold conditions - A review
    Ocean Engineering 01. mars 2021 DOI / ARKIV
  • Aviroop Dutt-Mazumder, Sushmit Dhar, Courtney Dutt-Mazumder :
    Postural Stability Variables for Dynamic Equilibrium
    Journal of Nature and Science (JNSCI) 2018 ARKIV / FULLTEKST
  • Sushmit Dhar, Naseri Masoud :
    Empirical Study and Modelling of Sea-Spray Parameters for Robust Marine Icing Estimation
    UiT Norges arktiske universitet 20. mars 2025
  • Tiantian Zhu, Masoud Naseri, Sushmit Dhar :
    Multi-objective route planning and optimization using graph theory and pareto optimality for fishing vessels in the Arctic
    2024
  • Tiantian Zhu, Masoud Naseri, Sushmit Dhar :
    Multi-objective route planning and optimization using graph theory, pareto optimality and genetic algorithm for fishing vessels in the Barents sea
    2024
  • Tiantian Zhu, Masoud Naseri, Sushmit Dhar, Behrooz Ashrafi :
    REINFORCEMENT LEARNING FOR FISHING ROUTE PLANNING AND OPTIMIZATION
    2024
  • Sushmit Dhar, Masoud Naseri, Tiantian Zhu :
    Enhancing Safety in Arctic Marine Operations by Improving Marine Icing Estimation Models
    2024
  • Masoud Naseri, Sushmit Dhar :
    Icing Challenges In Northern Norway's Aquaculture: Insights From Field Data Collection And Analysis
    Advances in Reliability, Safety and Security ESREL 2024 Contributions 27. juin 2024 FULLTEKST
  • Behrooz Ashrafi, Gibeom Kim, Sushmit Dhar, Sejin Baek, Masoud Naseri, Javad Barabady et al.:
    Agent-based modelling and analysis of search and rescue (SAR) operations in the Barents Sea
    2023
  • Sushmit Dhar, Hassan Abbas Khawaja, Masoud Naseri, Tiantian Zhu, Kåre Edvardsen :
    Prediction of marine icing incidents in cold regions using an IoT-based device
    2023 ARKIV
  • Jibola Obafemi Owolabi, Sushmit Dhar, Manaf Muhammed, Hassan Abbas Khawaja, Amar Aganovic, Muhammad Shakeel Virk :
    Investigating RANS Turbulence Models for Predicting Airflow Dispersion in Enclosed Environments: Numerical Simulation and Experimental Validation
    2023 ARKIV
  • Sushmit Dhar, Hassan Khawaja, Masoud Naseri, Kåre Edvardsen :
    Design and Optimizing the Sea-Spray Collector using CFD
    2022 ARKIV
  • Sushmit Dhar, Kåre Edvardsen, Hassan Khawaja, Javad Barabady :
    MarSpray LiDAR (MSL) for the comprehensive measurement of Sea Spray for Improving the Prediction of Marine Icing in Cold Conditions
    UiT Norges arktiske universitet 01. juin 2021
  • Sushmit Dhar, Eirik Mikal Samuelsen, Masoud Naseri, Kåre Edvardsen :
    Sea spray icing estimation dependence on spray flux in Arctic-Norwegian waters
    2021
  • Sushmit Dhar, Kåre Edvardsen, Hassan Khawaja, Masoud Naseri :
    Implementing LiDAR for Sea Spray Flux Estimation for the Evaluation of Marine Icing on Ships in Cold Regions
    2021
  • Sushmit Dhar, Kåre Edvardsen, Hassan Khawaja :
    Estimation of Sea Spray Flux for Improving the Prediction of Marine Icing in Cold Conditions using LiDAR
    2020

  • The 50 latest publications is shown on this page. See all publications in Cristin here →


    Research interests

    Min forskning ligger i skjæringspunktet mellom reguleringsteknikk, automatisering og datadrevne metoder, med et spesielt fokus på maritime anvendelser og fremvoksende intelligente reguleringsløsninger.

    Mine forskningsinteresser inkluderer:

    • Classical and modern control methods (PID, LQR, MPC)
    • State estimation, Physics-Informed Neural Networks (PINNs), and Reinforcement Learning (RL) for control and decision support
    • IoT-based automation solutions
    • Maritime operations, vessel icing, and hydrodynamic modeling
    • Data-driven modeling for decision support in complex systems

    Undervisning

    Automasjon, ingeniør

    • AUT-2604 – Lineære systemer (Bachelorprogram i ingeniørfag – Automasjon)
    • AUT-2801 – Reguleringsteknikk (Bachelorprogram i ingeniørfag – Automasjon)




    Teknologibygget Tromsø 4.005


    Click for bigger map