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Joan Cordiner

University of Sheffield

United Kingdom

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Research Interests

Petrochemical Engineering

50%

Materials Chemistry

60%

Metal-organic Framework

20%

Maintenance Engineering

20%

Process Engineering

20%

Materials Science

20%

Industrial Application

20%

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Articles24

Incorporating resilience into HAZOP to enhance process safety in industrial facilities

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Year:

2025

Toward Intelligent and Green Ethylene Manufacturing: An AI-Based Multi-Objective Dynamic Optimization Framework for the Steam Thermal Cracking Process

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Year:

2025

Enhancing safety in nuclear-powered water electrolysis for low-carbon hydrogen production: A process safety approach

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Year:

2025

Knowledge-enhanced data-driven modeling of wastewater treatment processes for energy consumption prediction

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Year:

2025

Modelling, simulation, thermodynamic and economic performance analysis of steam and CO2 as diluents in thermal cracking furnace for ethylene manufacturing

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Year:

2025

Mass spectrometry-based mRNA sequence mapping via complementary RNase digests and bespoke visualisation tools

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Year:

2025

Safety considerations for hydrometallurgical metal recovery from lithium‐ion batteries

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Year:

2024

Knowledge-Enhanced Spatiotemporal Analysis for Anomaly Detection in Process Manufacturing

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Year:

2024

A novel framework for quantitative resilience assessment in complex engineering systems during early and late design stages

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Year:

2024

Fuelling the future with safe hydrogen transportation through natural gas pipelines: a quantitative risk assessment approach

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Year:

2024

Gas adsorption and framework flexibility of CALF-20 explored via experiments and simulations

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Year:

2024

Modelling, simulation, exergy and economic analyses of thermal cracking of propane using CO2 and steam as diluents

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Year:

2024

A Review of the Technological Aspects and Process Optimization of Bioethanol Production From Corn Stover Biomass: Pretreatment Process, Hydrolysis, Fermentation, Purification Process, and Future Perspective

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Year:

2024

An experimental and modeling approach to study tangential flow filtration performance for mRNA drug substance purification

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Year:

2024

Mitigating risks in hydrogen-powered transportation: A comprehensive risk assessment for hydrogen refuelling stations, vehicles, and garages

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Year:

2024

Development of a machine learning framework to determine optimal alloy composition based on steel hardenability prediction

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Year:

2023

DigiMOF: a database of metal–organic framework synthesis information generated via text mining

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Year:

2023

Development of an industrially applicable model for the qualitative resilience assessment of process systems at the early design stage

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Year:

2023

Gold recovery from synthetic mine tailings leachate using chelating ion exchange resins with thiosulfate-thiourea lixiviant

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Year:

2023

Augmented reality for enhanced visualization of MOF adsorbents

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Year:

2023

Integrating machine learning techniques into optimal maintenance scheduling

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Year:

2022

Active subsets as a tool for structural characterisation and selection of metal-organic frameworks

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Year:

2022

Data visualization for Industry 4.0 : a stepping-stone toward a digital future, bridging the gap between academia and industry

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Year:

2021

Accounting for interface behaviour in multi-stage aqueous two-phase extraction

Article Link

Year:

2021

Collaborators7

Veronique Van Speybroeck

Ghent University

BELGIUM

Jack Atkinson

University of Sheffield

UNITED KINGDOM

Haiping Lu

Professor of Machine Learning

University of Sheffield

UNITED KINGDOM

Zoltan Kis

Honorary Lecturer

Imperial College London

UNITED KINGDOM

Professor Meihong Wang

Professor of Energy Systems Engineering

University of Sheffield

UNITED KINGDOM

Seyed Mojtaba Hoseyni

University of Sheffield

UNITED KINGDOM

Peyman Z. Moghadam

Associate Professor

University College London

UNITED KINGDOM

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