Joan Cordiner

University of Sheffield

United Kingdom

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Articles (24)

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2021

Collaborators (7)

Veronique Van Speybroeck

Ghent University

BELGIUM

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Jack Atkinson

University of Sheffield

UNITED KINGDOM

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Haiping Lu

Professor of Machine Learning

University of Sheffield

UNITED KINGDOM

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Zoltan Kis

Honorary Lecturer

Imperial College London

UNITED KINGDOM

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Professor Meihong Wang

Professor of Energy Systems Engineering

University of Sheffield

UNITED KINGDOM

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Seyed Mojtaba Hoseyni

University of Sheffield

UNITED KINGDOM

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Peyman Z. Moghadam

Associate Professor

University College London

UNITED KINGDOM

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Joan Cordiner

Research Interests

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Articles (24)

Incorporating resilience into HAZOP to enhance process safety in industrial facilities

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

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

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

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

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

Safety considerations for hydrometallurgical metal recovery from lithium‐ion batteries

Knowledge-Enhanced Spatiotemporal Analysis for Anomaly Detection in Process Manufacturing

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

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

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

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

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

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

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

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

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

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

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

Augmented reality for enhanced visualization of MOF adsorbents

Integrating machine learning techniques into optimal maintenance scheduling

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

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

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

Collaborators (7)

Veronique Van Speybroeck

Jack Atkinson

Haiping Lu

Zoltan Kis

Professor Meihong Wang

Seyed Mojtaba Hoseyni

Peyman Z. Moghadam

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