Ihmiset

Ahmad BahooToroody

Academy Research Fellow

T212 Department of Energy and Mechanical Engineering

Full researcher profile

https://research.aalto.fi/...

Sähköposti

[email protected]

Puhelinnumero

+358504141304

Osaamisalueet

Bayesian Statistics, Reliability, Risk analysis, Autonomous systems

Tutkimusryhmät

Marine and Arctic Technology, Academy Research Fellow

Julkaisut

Integrating physics-based simulations with Gaussian processes for enhanced safety assessment of offshore installations

Mohammad Mahdi Abaei, Bernt Johan Leira, Svein Sævik, Ahmad BahooToroody 2024 Reliability Engineering and System Safety

Enhancing System Safety Through System Dynamics: A Case Study on Ship Remote Pilotage

Ahmad BahooToroody, Mohammad Mahdi Abaei, Esmaeil Zarei, Victor Bolbot, Sunil Basnet, Osiris Valdez Banda 2024 Safety Causation Analysis in Sociotechnical Systems: Advanced Models and Techniques

Review of research progress of autonomous and unmanned shipping and identification of future research directions

Ivana Jovanović, Maja Perčić, Ahmad BahooToroody, Ailong Fan, Nikola Vladimir 2024 Journal of Marine Engineering and Technology

Machine learning and deep learning for safety applications : Investigating the intellectual structure and the temporal evolution

Leonardo Leoni, Ahmad BahooToroody, Mohammad Mahdi Abaei, Alessandra Cantini, Farshad BahooToroody, Filippo De Carlo 2024 Safety Science

Ahmad BahooToroody

Osaamisalueet

Tutkimusryhmät

Julkaisut

Integrating physics-based simulations with Gaussian processes for enhanced safety assessment of offshore installations

Enhancing System Safety Through System Dynamics: A Case Study on Ship Remote Pilotage

Review of research progress of autonomous and unmanned shipping and identification of future research directions

Machine learning and deep learning for safety applications : Investigating the intellectual structure and the temporal evolution

Expert Judgment and Uncertainty in Sociotechnical Systems Analysis

Time-series forecasting for health monitoring of marine and offshore renewable energy systems

Real-Time Bayesian Risk Modeling for Maritime Industry: A Hierarchical Approach for Dynamic Risk Estimation and Control

Real-time risk monitoring of ship pilotage operations: Automating BN risk model development

Risk analysis methodology using STPA-based Bayesian network- applied to remote pilotage operation

Selecting cost-effective risk control option for advanced maritime operations; Integration of STPA-BN-Influence diagram