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Engineering and Technology

D-Index
53
Citations
9632
World Ranking
3447
National Ranking
144

Overview

Nima Khakzad is a researcher affiliated with Toronto Metropolitan University in Canada. Their work primarily focuses on areas intersecting decision sciences, engineering, and health professions, with significant contributions to the fields of statistics, probability and uncertainty, radiological and ultrasound technology, aerospace engineering, safety, risk, reliability and quality, as well as civil and structural engineering.

The scientist's research topics commonly include:

  • Risk and Safety Analysis
  • Occupational Health and Safety Research
  • Combustion and Detonation Processes
  • Reliability and Maintenance Optimization
  • Infrastructure Resilience and Vulnerability Analysis
  • Fault Detection and Control Systems
  • Structural Integrity and Reliability Analysis

Khakzad's frequent publication venues demonstrate an emphasis on reliability and safety within engineering contexts:

  • Reliability Engineering & System Safety
  • Journal of Loss Prevention in the Process Industries
  • The Canadian Journal of Chemical Engineering
  • Safety Science
  • Process Safety Progress

Frequent co-authors collaborating with Khakzad include:

  • Genserik Reniers
  • Gabriele Landucci
  • Chao Chen
  • Ming Yang
  • Faisal Khan

Some of Khakzad's recent publications include:

  • A thorough classification and discussion of approaches for modeling and managing domino effects in the process industries, 2020, Safety Science
  • Quantitative resilience assessment of chemical process systems using functional resonance analysis method and Dynamic Bayesian network, 2020, Reliability Engineering & System Safety
  • An Integrated Quantitative Risk Assessment Method for Urban Underground Utility Tunnels, 2021, Reliability Engineering & System Safety
  • A dynamic multi-agent approach for modeling the evolution of multi-hazard accident scenarios in chemical plants, 2020, Reliability Engineering & System Safety
  • Dynamic vulnerability assessment of process plants with respect to vapor cloud explosions, 2020, Reliability Engineering & System Safety

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

  • 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

  • Application of dynamic Bayesian network to risk analysis of domino effects in chemical infrastructures

    Nima Khakzad

  • Domino effect analysis using Bayesian networks.

    Nima Khakzad;Faisal Khan;Paul Amyotte;Valerio Cozzani

  • Dynamic safety assessment of natural gas stations using Bayesian network.

    Esmaeil Zarei;Ali Azadeh;Nima Khakzad;Mostafa Mirzaei Aliabadi

  • Dust explosions: A threat to the process industries

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

  • Dynamic safety risk analysis of offshore drilling

    Majeed Abimbola;Faisal Khan;Nima Khakzad

  • Safety analysis of process systems using Fuzzy Bayesian Network (FBN)

    Esmaeil Zarei;Nima Khakzad;Valerio Cozzani;Genserik Reniers;Genserik Reniers

  • Safety and risk analysis of managed pressure drilling operation using Bayesian network

    Majeed Abimbola;Faisal Khan;Nima Khakzad;Stephen Butt

  • The role of human error in risk analysis: Application to pre- and post-maintenance procedures of process facilities

    Alireza Noroozi;Nima Khakzad;Faisal I. Khan;Scott N. MacKinnon

  • Risk-based design of process systems using discrete-time Bayesian networks

    Nima Khakzad;Faisal I. Khan;Paul Amyotte

  • Validity and validation of safety-related quantitative risk analysis: A review

    Floris Goerlandt;Floris Goerlandt;Nima Khakzad;Genserik Reniers;Genserik Reniers;Genserik Reniers

  • On the application of near accident data to risk analysis of major accidents

    Nima Khakzad;Faisal I. Khan;Faisal I. Khan;Nicola Paltrinieri

  • Application of dynamic Bayesian network to performance assessment of fire protection systems during domino effects

    Nima Khakzad;Gabriele Landucci;Genserik Reniers;Genserik Reniers

  • Using graph theory to analyze the vulnerability of process plants in the context of cascading effects

    Nima Khakzad;Genserik Reniers;Genserik Reniers;Genserik Reniers

  • Integrating safety and security resources to protect chemical industrial parks from man-made domino effects: A dynamic graph approach

    Chao Chen;Genserik Reniers;Genserik Reniers;Genserik Reniers;Nima Khakzad

  • A thorough classification and discussion of approaches for modeling and managing domino effects in the process industries

    Chao Chen;Genserik Reniers;Genserik Reniers;Genserik Reniers;Nima Khakzad

  • Risk analysis of dust explosion scenarios using Bayesian networks.

    Zhi Yuan;Nima Khakzad;Faisal Khan;Paul Amyotte

Frequent Co-Authors

Genserik Reniers
Genserik Reniers Delft University of Technology
Faisal Khan
Faisal Khan Texas A&M University
Valerio Cozzani
Valerio Cozzani University of Bologna
Gabriele Landucci
Gabriele Landucci University of Pisa
Paul Amyotte
Paul Amyotte Dalhousie University
Rouzbeh Abbassi
Rouzbeh Abbassi Macquarie University
Floris Goerlandt
Floris Goerlandt Dalhousie University
Ali Azadeh
Ali Azadeh University of Tehran
Biswajeet Pradhan
Biswajeet Pradhan University of Technology Sydney
Ernesto Salzano
Ernesto Salzano University of Bologna

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