Coen van Gulijk

ORCID: 0000-0003-4541-2693
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About
Contact & Profiles
Research Areas
  • Occupational Health and Safety Research
  • Risk and Safety Analysis
  • Safety Warnings and Signage
  • Vehicle emissions and performance
  • Aerosol Filtration and Electrostatic Precipitation
  • Data Quality and Management
  • Big Data and Business Intelligence
  • Data Visualization and Analytics
  • Information and Cyber Security
  • Human-Automation Interaction and Safety
  • Software Reliability and Analysis Research
  • Air Quality and Health Impacts
  • Fault Detection and Control Systems
  • Maritime Navigation and Safety
  • Ship Hydrodynamics and Maneuverability
  • Advanced Text Analysis Techniques
  • Quality and Safety in Healthcare
  • Safety Systems Engineering in Autonomy
  • Catalytic Processes in Materials Science
  • Risk Perception and Management
  • Disaster Management and Resilience
  • Regulation and Compliance Studies
  • Software Engineering Research
  • Supply Chain Resilience and Risk Management
  • Terrorism, Counterterrorism, and Political Violence

University of Huddersfield
2015-2024

Netherlands Organisation for Applied Scientific Research
2021-2023

Delft University of Technology
2003-2021

Netherlands Consortium for Healthy Ageing
2021

University of Wuppertal
2018

University of Siegen
2018

Meiji University
2018

University of Liverpool
2018

Eskişehir Osmangazi University
2018

Valeo (France)
2018

This article describes a security risk assessment and protection methodology that was developed for use in the chemical process industries Belgium. The method employs risk‐based approach according to design principles object‐oriented protection, using so‐called Typicals. is beneficial workers industry because of familiarity with safety models concepts this particular industry. model combines rings‐of‐protection generic practices including management procedures, technology (e.g., CCTV,...

10.1002/prs.11683 article EN Process Safety Progress 2014-05-24

This paper shows a new simulation approach for maritime safety assessment. It describes nautical traffic model straight waterways based on multi-agent system. The behavior of the ships is simulated with an autonomous dynamic ship maneuvering model, taking into account movements in different local circumstances. AIS data (Automatic Identification System) used to calibrate and verification. ODD protocol (Overview, Design concepts, Details) as framework detailed description model. demonstrates...

10.1109/itsc.2013.6728402 article EN 2013-10-01

10.1023/a:1016644612038 article EN Topics in Catalysis 2001-01-01

This article presents the case for IT transformation and big data safety risk management on GB railways. explains why interest in data-driven solutions is very high railways by describing drivers that shape A brief overview of research projects analysis programme supports helps understand agenda The provide insight current needs researchers have to broaden their skill set include digital skills potentially even programming. systems compelling, this describes just tip iceberg opportunities...

10.1177/1748006x17728210 article EN Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability 2018-03-28
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