World's Best Scientists 2026 revealed!

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Engineering and Technology

D-Index
67
Citations
14839
World Ranking
1331
National Ranking
57

Research.com Recognitions

  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering

Overview

Paul Amyotte is affiliated with Dalhousie University in Canada and has contributed extensively to the fields of engineering and decision sciences. Their research focuses on various aspects of safety, risk, and reliability within industrial and process engineering contexts.

The main fields of study associated with Paul Amyotte include:

  • Engineering
  • Decision Sciences

Within these domains, the scientist has specialized in several subfields:

  • Statistics, Probability and Uncertainty
  • Aerospace Engineering
  • Safety, Risk, Reliability and Quality
  • Radiological and Ultrasound Technology
  • Mechanics of Materials

The primary research topics covered by their work include:

  • Combustion and Detonation Processes
  • Risk and Safety Analysis
  • Occupational Health and Safety Research
  • Fire dynamics and safety research
  • Energetic Materials and Combustion
  • Engineering and Material Science Research
  • Chemical Safety and Risk Management

Paul Amyotte's recent publications demonstrate their focus and collaboration in process safety and chemical engineering:

  • "Process safety concerns in process system digitalization," 2020, Education for Chemical Engineers
  • "The role of inherently safer design in process safety," 2020, The Canadian Journal of Chemical Engineering
  • "Integrating process dynamics in data-driven models of chemical processing systems," 2023, Process Safety and Environmental Protection
  • "Modeling and analysis of domino effect in petrochemical storage tank farms under the synergistic effect of explosion and fire," 2023, Process Safety and Environmental Protection
  • "Effects of dust dispersibility on the suppressant enhanced explosion parameter (SEEP) in flame propagation of Al dust clouds," 2020, Journal of Hazardous Materials

The scientist has published frequently in the following venues:

  • Journal of Loss Prevention in the Process Industries
  • Process Safety and Environmental Protection
  • The Canadian Journal of Chemical Engineering
  • Powder Technology
  • Reliability Engineering & System Safety

Collaboration plays a significant role in their research, with frequent co-authors including:

  • Faisal Khan
  • Chunmiao Yuan
  • Mohammad Alauddin
  • Yajie Bu
  • Kayleigh Rayner Brown

Paul Amyotte is recognized as a member of The Canadian Academy of Engineering, reflecting their involvement with the Canadian engineering community.

Best Publications

  • Safety analysis in process facilities: Comparison of fault tree and Bayesian network approaches

    Nima Khakzad;Faisal I. Khan;Paul Amyotte

  • Dynamic safety analysis of process systems by mapping bow-tie into Bayesian network

    Nima Khakzad;Faisal Khan;Paul Amyotte

  • Still Going Wrong!: Case Histories of Process Plant Disasters and How They Could Have Been Avoided

    Paul Amyotte;Trevor A. Kletz

  • Quantitative risk analysis of offshore drilling operations: A Bayesian approach

    Nima Khakzad;Faisal Khan;Paul Amyotte

  • Dynamic risk analysis using bow-tie approach

    Nima Khakzad;Faisal I. Khan;Paul Amyotte

  • Fault and event tree analyses for process systems risk analysis: uncertainty handling formulations.

    Refaul Ferdous;Faisal Khan;Rehan Sadiq;Paul Amyotte

  • Dust explosion causation, prevention and mitigation: An overview

    Paul R. Amyotte;Rolf K. Eckhoff

  • Domino effect analysis using Bayesian networks.

    Nima Khakzad;Faisal Khan;Paul Amyotte;Valerio Cozzani

  • Integrated inherent safety index (I2SI): A tool for inherent safety evaluation

    Faisal I. Khan;Paul R. Amyotte

  • Dust explosions: A threat to the process industries

    Zhi Yuan;Nima Khakzad;Nima Khakzad;Faisal Khan;Paul Amyotte

  • Analyzing system safety and risks under uncertainty using a bow-tie diagram: An innovative approach

    Refaul Ferdous;Faisal Khan;Rehan Sadiq;Paul Amyotte

  • I2SI: A comprehensive quantitative tool for inherent safety and cost evaluation

    Faisal I. Khan;Paul R. Amyotte

  • Solid inertants and their use in dust explosion prevention and mitigation

    Paul R. Amyotte

  • SHIPP methodology: Predictive accident modeling approach. Part I: Methodology and model description

    Samith Rathnayaka;Faisal Khan;Paul Amyotte

  • How to make inherent safety practice a reality

    Faisal I. Khan;Paul R. Amyotte

  • Dynamic risk management: a contemporary approach to process safety management

    Faisal Khan;Seyed Javad Hashemi;Nicola Paltrinieri;Paul Amyotte

  • Application of inherent safety principles to dust explosion prevention and mitigation

    Paul R. Amyotte;Michael J. Pegg;Faisal I. Khan

  • Inherent safety in offshore oil and gas activities: a review of the present status and future directions

    Faisal I. Khan;Paul R. Amyotte

  • Methodology for computer aided fuzzy fault tree analysis

    Refaul Ferdous;Faisal Khan;Brian Veitch;Paul R. Amyotte

  • Modelling the effect of particle size on dust explosions

    A. Di Benedetto;Paola Russo;P. Amyotte;N. Marchand

Frequent Co-Authors

Faisal Khan
Faisal Khan Texas A&M University
Nima Khakzad
Nima Khakzad Toronto Metropolitan University
Genserik Reniers
Genserik Reniers Delft University of Technology
Valerio Cozzani
Valerio Cozzani University of Bologna
Rehan Sadiq
Rehan Sadiq University of British Columbia
Paola Russo
Paola Russo Sapienza University of Rome
Almerinda Di Benedetto
Almerinda Di Benedetto University of Naples Federico II
Qingsong Wang
Qingsong Wang University of Science and Technology of China
Ernesto Salzano
Ernesto Salzano University of Bologna
Adrian Oehmen
Adrian Oehmen University of Queensland

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