Ahmad Bahoo

Academy Research Fellow
Academy Research Fellow
T212 Department of Energy and Mechanical Engineering
Full researcher profile
https://research.aalto.fi/...

Areas of expertise

Bayesian Statistics, Reliability, Risk analysis, Autonomous systems

Research groups

  • Marine and Arctic Technology, Academy Research Fellow

Publications

ANOMALY DETECTION IN UNATTENDED MACHINERY PLANT USING AN BI-LSTM-DVAE APPROACH

Ahmad BahooToroody, Mohammad Mahdi Abaei, Mingyang Zhang, Victor Bolbot, Mahsa Khorasani 2025 Offshore Technology; Structures, Safety and Reliability; Materials Technology

Gaussian process latent variable model and Bayesian inference for non-parametric failure modeling applied to ship engine

Ahmad BahooToroody, Mohammad Mahdi Abaei, Enrico Zio, Floris Goerlandt, Meriam Chaal 2025 Reliability Engineering and System Safety

A systems-theoretic approach using association rule mining and predictive Bayesian trend analysis to identify patterns in maritime accident causes

Shahrokh Bairami-Khankandi, Victor Bolbot, Ahmad BahooToroody, Floris Goerlandt 2025 Reliability Engineering and System Safety

Analyzing the dynamic domino effect in fuel truck parking lots

Kamran Gholamizadeh, Esmaeil Zarei, Ahmad BahooToroody 2025 Reliability Engineering and System Safety

A deep learning method to predict ship short-term trajectory for proactive maritime traffic management

Quandang Ma, Zhouyu Lian, Xu Du, Yuting Jiang, Ahmad BahooToroody, Mingyang Zhang 2025 Reliability Engineering and System Safety

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

Expert Judgment and Uncertainty in Sociotechnical Systems Analysis

Esmaeil Zarei, Mohammad Yazdi, Rosita Moradi, Ahmad BahooToroody 2024 Safety causation analysis in sociotechnical systems