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Jean-David Caprace

Department head

Universidade Federal do Rio de Janeiro

Rio de Janeiro, Brasil

Líneas de Investigación


World ship fleet energy efficiency (decarbonization); Machine learning and data mining; Optimization of ship and offshore structures; Maritime transportation;

Educación

  •  Applied Science, UNIVERSITE DE LIEGE. Bélgica, 2010
  •  Industrial Engineering, Institut Supérieur Industriel de Bruxelles (ISIB). Bélgica, 2000

Experiencia Académica

  •   Professor Full Time

    UNIVERSIDADE FEDERAL DO RIO DE JANEIRO

    Engineering

    Rio de Janeiro, Brasil

    2013 - A la fecha

Experiencia Profesional

  •   Professor Full Time

    Universidade Federal do Rio de Janeiro

    Rio de Janeiro, Brasil

    2013 - A la fecha

  •   Research Engineer Full Time

    Escuela Superior Politecnica del Litoral (ESPOL)

    Guayaquil, Ecuador

    2012 - 2013

Premios y Distinciones

  •   Germanischer Lloyd award of excellence

    Germanisher Lloyds (GL)

    Alemania, 2007

    Rewarding the most promising researcher of the COMPIT’07 conference held in Cortona, Italy.

  •   Research fellowship (FNRS)

    National Fund of Belgian Scientific Research (FNRS)

    Bélgica, 2006

    Competitive grant awarded to PhD students by the National Fund of Belgian Scientific Research (FNRS), Liège, Belgium.


 

Article (24)

A review of the multicriteria decision analysis applied to oil and gas decommissioning problems
Exploring various sizes of liquefied gas carriers by an optimisation approach to early-stage project
A review of the use of LNG versus HFO in maritime industry
An Approach for Predicting the Specific Fuel Consumption of Dual-Fuel Two-Stroke Marine Engines
An early-stage approach to optimise a marine energy system for liquefied natural gas carriers: Part A - Developed approach
An early-stage approach to optimise a marine energy system for liquefied natural gas carriers: Part B - Application
Marine propeller parametric optimisation and matching to electric motor
A discrete-event simulation approach to evaluate the effect of stochastic parameters on offshore wind farms assembly strategies
Optimising the engine-propeller matching for a liquefied natural gas carrier under rough weather
A benchmark study of uncertainness in welding simulation
An Approach to Optimise The Selection of LNG Carriers Propulsion System
Effects of slow steaming strategies on a ship fleet
Investigation of the added mass method for seismic design of lock gates
Optimisation of Ship and Offshore Structures and Effective Waterway Infrastructures to Support the Global Economic Growth of a Country/Region
Optimization of Surface Utilization Using Heuristic Approaches
Optimization of shipyard space allocation and scheduling using a heuristic algorithm
A real-time assessment of the ship design complexity
Towards a short time "feature-based costing" for ship design
Ship complexity assessment at the concept design stage
Multi-criteria Scantling Optimisation of Cruise Ships
Scantling multi-objective optimisation of a LNG carrier
Maintenance/repair and production-oriented life cycle cost/earning model for ship structural optimisation during conceptual design stage
A Data Mining Analysis Applied to a Straightening Process Database
Least cost optimization of large passenger vessels

ConferencePaper (7)

A Deep Convolutional Neural Network Applied to Ship Detection and Classification
A deep learning approach for automatic identification of subsea events using AUV data
A Dynamic Port Congestion Indicator - A Case Study of the Port of Rio de Janeiro
Detecting Possible Near Miss Collisions in Santos Bay from AIS Big Data
Maritime traffic simulation including tidal windows and Squat effect in the northern arrival channel of the Amazon River.
A Discrete-Event Simulation Approach for Platform Supply Vessels Operations under Stochastic Effects
Estimating possible near miss collisions based on AIS big data for Port of Rio de Janeiro
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Jean-David Caprace

Department head

Engineering

Universidade Federal do Rio de Janeiro

Rio de Janeiro, Brasil