Bulent Duz

@marin.nl

Senior Researcher, R&D
MARIN

Bulent Duz

RESEARCH, TEACHING, or OTHER INTERESTS

Ocean Engineering, Artificial Intelligence
38

Scopus Publications

453

Scholar Citations

12

Scholar h-index

13

Scholar i10-index

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

  • Data-driven prediction of ship heel in turns
    AB Bayezit, B Düz, R Tonelli, ÖK Kınacı, B Mak, V Ferrari
    Ocean Engineering 356, 125201 , 2026
    2026
  • Experimental optimisation of the man overboard manoeuvre
    BJ de Kruif, B Düz, V Ferrari
    Applied Ocean Research 160, 104603 , 2025
    2025
  • Ship trajectory prediction using encoder–decoder-based deep learning models
    B Düz, E van Iperen
    Journal of Location Based Services 19 (2), 146-166 , 2025
    2025
    Citations: 9
  • Predicting the dynamics of a gas pocket during breaking wave impacts using machine learning
    R Ezeta, B Düz
    Ocean Engineering 321, 120321 , 2025
    2025
    Citations: 2
  • Ship course-keeping in waves using sample-efficient reinforcement learning
    J Greep, AB Bayezit, B Mak, D Rijpkema, ÖK Kınacı, B Düz
    Engineering Applications of Artificial Intelligence 141, 109848 , 2025
    2025
    Citations: 4
  • General reinforcement learning control for AUV manoeuvring in turbulent flows
    AK Lidtke, D Rijpkema, B Düz
    Ocean Engineering 309, 118538 , 2024
    2024
    Citations: 15
  • Autonomous Sailing with Sim-to-Real Reinforcement Learning
    KJA Bink, GD Weymouth, B DUZ
    Available at SSRN 5339032 , 2024
    2024
    Citations: 4
  • A generalized reinforcement learning based controller for course-keeping of ships in waves
    A Bayezit, Ö Kinaci, B Düz, D Rijpkema, B Mak
    CIMNE , 2023
    2023
    Citations: 2
  • Combining deep reinforcement learning and computational fluid dynamics for efficient navigation in turbulent flows
    AK Lidtke, D Rijpkema, B Duz
    10th Conference on Computational Methods in Marine Engineering , 2023
    2023
    Citations: 1
  • Quantifying uncertainties in numerical predictions of dynamic cavitation
    E Kara, AK Lidtke, B Düz, D Rijpkema, O Kemal
    Uncecomp2023 Proceedings, 599-620 , 2023
    2023
    Citations: 2
  • Consistency Assessment of Wave Directional Spectrum Predictions From Machine Learning Based Ship-As-a-Wave-Buoy Methods
    TP Scholcz, B Düz, RB Hageman, B Mak
    International Conference on Offshore Mechanics and Arctic Engineering 85901 … , 2022
    2022
    Citations: 6
  • Mitigating Spurious Low-Frequency Waves in a Model Basin With a Ramped Floor
    B Düz, J Scharnke, J de Wilde
    International Conference on Offshore Mechanics and Arctic Engineering 85901 … , 2022
    2022
    Citations: 2
  • Uncertainty quantification in the prediction of cavitation inception of the Duisburg Propeller Test Case
    AR Scussel, AK Lidtke, B Düz, D Rijpkema
    24th Numerical Towing Tank Symposium , 2022
    2022
  • Estimating parameter and discretization uncertainties using a laminar–turbulent transition model
    ET Katsuno, AK Lidtke, B Düz, D Rijpkema, JLD Dantas, G Vaz
    Computers & Fluids 230, 105129 , 2021
    2021
    Citations: 12
  • Sensitivity analysis in parametric rolling of a modern cruise ship using numerical simulations in 6-DOF
    B Düz
    International Conference on Offshore Mechanics and Arctic Engineering 84324 … , 2020
    2020
    Citations: 5
  • Comparison of the CFD results to PIV measurements in kinematics of spilling and plunging breakers
    B Düz, J Scharnke, R Hallmann, J Tukker, S Khurana, K Blanchard
    International Conference on Offshore Mechanics and Arctic Engineering 84386 … , 2020
    2020
    Citations: 4
  • A comparison of numerical simulations and model experiments on parametric roll in Irregular Seas
    G Kapsenberg, C Wandji, B Duz, S Kim
    Journal of Marine Science and Engineering 8 (7), 474 , 2020
    2020
    Citations: 17
  • Linking experimental and numerical wave modelling
    S van Essen, J Scharnke, T Bunnik, B Düz, H Bandringa, R Hallmann, ...
    Journal of Marine Science and Engineering 8 (3), 198 , 2020
    2020
    Citations: 21
  • Real time estimation of local wave characteristics from ship motions using artificial neural networks
    B Duz, B Mak, R Hageman, N Grasso
    Practical Design of Ships and Other Floating Structures, 657-678 , 2019
    2019
    Citations: 51
  • Ship as a wave buoy: Estimating relative wave direction from in-service ship motion measurements using machine learning
    B Mak, B Düz
    International conference on offshore mechanics and arctic engineering 58882 … , 2019
    2019
    Citations: 61

MOST CITED SCHOLAR PUBLICATIONS

  • Ship as a wave buoy: Estimating relative wave direction from in-service ship motion measurements using machine learning
    B Mak, B Düz
    International conference on offshore mechanics and arctic engineering 58882 … , 2019
    2019
    Citations: 61
  • Extreme wave impact on offshore platforms and coastal constructions
    AEP Veldman, R Luppes, T Bunnik, RHM Huijsmans, B Duz, B Iwanowski, ...
    International Conference on Offshore Mechanics and Arctic Engineering 44397 … , 2011
    2011
    Citations: 53
  • Real time estimation of local wave characteristics from ship motions using artificial neural networks
    B Duz, B Mak, R Hageman, N Grasso
    Practical Design of Ships and Other Floating Structures, 657-678 , 2019
    2019
    Citations: 51
  • Turbulence modeling, local grid refinement and absorbing boundary conditions for free-surface flow simulations in offshore applications
    AEP Veldman, R Luppes, HJL van der Heiden, P van der Plas, B Düz, ...
    International Conference on Offshore Mechanics and Arctic Engineering 45400 … , 2014
    2014
    Citations: 29
  • Ship as a wave buoy: Using simulated data to train neural networks for real time estimation of relative wave direction
    B Mak, B Düz
    International Conference on Offshore Mechanics and Arctic Engineering 58882 … , 2019
    2019
    Citations: 27
  • Linking experimental and numerical wave modelling
    S van Essen, J Scharnke, T Bunnik, B Düz, H Bandringa, R Hallmann, ...
    Journal of Marine Science and Engineering 8 (3), 198 , 2020
    2020
    Citations: 21
  • An absorbing boundary condition for regular and irregular wave simulations
    B Düz, RHM Huijsmans, AEP Veldman, MJA Borsboom, PR Wellens
    MARINE 2011, IV International Conference on Computational Methods in Marine … , 2013
    2013
    Citations: 19
  • An absorbing boundary condition for free surface water waves
    B Düz, MJA Borsboom, AEP Veldman, PR Wellens, RHM Huijsmans
    Computers & Fluids 156, 562-578 , 2017
    2017
    Citations: 18
  • A comparison of numerical simulations and model experiments on parametric roll in Irregular Seas
    G Kapsenberg, C Wandji, B Duz, S Kim
    Journal of Marine Science and Engineering 8 (7), 474 , 2020
    2020
    Citations: 17
  • General reinforcement learning control for AUV manoeuvring in turbulent flows
    AK Lidtke, D Rijpkema, B Düz
    Ocean Engineering 309, 118538 , 2024
    2024
    Citations: 15
  • Towards a general-purpose open boundary condition for wave simulations
    B Duz, RHM Huijsmans, PR Wellens, MJA Borsboom, AEP Veldman
    International Conference on Offshore Mechanics and Arctic Engineering 44397 … , 2011
    2011
    Citations: 13
  • Estimating parameter and discretization uncertainties using a laminar–turbulent transition model
    ET Katsuno, AK Lidtke, B Düz, D Rijpkema, JLD Dantas, G Vaz
    Computers & Fluids 230, 105129 , 2021
    2021
    Citations: 12
  • Numerical simulation of nonlinear free surface water waves: Coupling of a potential flow solver to a URANS/VOF code
    B Düz, T Bunnik, G Kapsenberg, G Vaz
    International Conference on Offshore Mechanics and Arctic Engineering 49934 … , 2016
    2016
    Citations: 12
  • Ship trajectory prediction using encoder–decoder-based deep learning models
    B Düz, E van Iperen
    Journal of Location Based Services 19 (2), 146-166 , 2025
    2025
    Citations: 9
  • Wave-in-deck impact loads in relation with wave kinematics
    J Scharnke, R Lindeboom, B Duz
    International Conference on Offshore Mechanics and Arctic Engineering 57656 … , 2017
    2017
    Citations: 9
  • Simulations of wave impact and two-phase flow with ComFLOW: past and recent developments
    R Luppes, HJL van der Heiden, P van der Plas, AEP Veldman, B Düz
    ISOPE International Ocean and Polar Engineering Conference, ISOPE-I-13-393 , 2013
    2013
    Citations: 8
  • Comparison of breaking wave kinematics from numerical simulations with PIV measurements
    B Düz, R Lindeboom, J Scharnke, J Helder, H Bandringa
    International Conference on Offshore Mechanics and Arctic Engineering 57748 … , 2017
    2017
    Citations: 7
  • Numerical simulation of extreme wave impact on offshore platforms and coastal constructions
    R Luppes, B Duz, HJL van der Heiden, P van der Plas, AEP Veldman
    Proc. 5th Conf. on Computational Methods in Marine Engineering MARINE 2011 , 2011
    2011
    Citations: 7
  • Consistency Assessment of Wave Directional Spectrum Predictions From Machine Learning Based Ship-As-a-Wave-Buoy Methods
    TP Scholcz, B Düz, RB Hageman, B Mak
    International Conference on Offshore Mechanics and Arctic Engineering 85901 … , 2022
    2022
    Citations: 6
  • Efficient and accurate PLIC-VOF techniques for numerical simulations of free surface water waves
    B Duz, MJA Borsboom, AEP Veldman, P Wellens, R Huijsmans
    Proceedings of the 9th International Conference on Computational Fluid … , 2016
    2016
    Citations: 6