Md. Tanjin Amin

Lecturer

Texas A&M University

United States

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Articles (17)

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2024

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2021

Collaborators (9)

Sidum Adumene

CANADA

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Salim Ahmed

Associate Professor

Memorial University of Newfoundland

CANADA

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Faisal Khan

Professor & Director

Texas A&M Engineering

UNITED STATES

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T M Rabiul Islam

Lecturer- Marine Engineering

University of Tasmania

AUSTRALIA

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VALERIO COZZANI

Professor

University of Bologna

ITALY

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Rajeevan Arunthavanathan

Assistant Professor

University of Regina

CANADA

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He Wen

University of Alberta

CANADA

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Syed Imtiaz

Associate Professor

Memorial University of Newfoundland

CANADA

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Mahmoud El-Halwagi

Texas A&M University

UNITED STATES

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Md. Tanjin Amin

Research Interests

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Articles (17)

Process safety 4.0: Artificial intelligence or intelligence augmentation for safer process operation?

A neural network approach to predict the time-to-failure of atmospheric tanks exposed to external fire

A review of Faisal Khan's contribution to process monitoring

Analysis of CO2 pipeline regulations from a safety perspective for offshore carbon capture, utilization, and storage (CCUS)

Dynamic Domino Effect Assessment (D2EA) in tank farms using a machine learning-based approach

Improved pool fire-initiated domino effect assessment in atmospheric tank farms using structural response

The drive and passion of Faisal Khan to improve onshore and offshore process industries' safety levels

Assessment of Situation Awareness Conflict Risk between Human and AI in Process System Operation

Probabilistic monitoring of nuclear plants using R-vine copula

Process safety analysis using operational data and Bayesian network

Advances in nuclear power system design and fault-based condition monitoring towards safety of nuclear-powered ships

A holistic framework for process safety and security analysis

A methodology to assess human-automated system conflict from safety perspective

Dynamic Failure Risk Assessment of Wastewater Treatment and Reclamation Plant: An Industrial Case Study

Dynamic Process Safety Assessment Using Adaptive Bayesian Network with Loss Function

Myths and misconceptions of data-driven methods: Applications to process safety analysis

A data-driven Bayesian network learning method for process fault diagnosis

Collaborators (9)

Sidum Adumene

Salim Ahmed

Faisal Khan

T M Rabiul Islam

VALERIO COZZANI

Rajeevan Arunthavanathan

He Wen

Syed Imtiaz

Mahmoud El-Halwagi

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