Visakan Kadirkamanathan

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Professor

University of Sheffield

United Kingdom

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About

Professor Visakan Kadirkamanathan is a faculty member at the University of Sheffield, located in the UK. His research areas include system identification, the development of advanced neural networks for metrology, and resource management in healthcare and engineering systems. Recent publications reflect his expertise in nonlinear systems, machine learning, and health monitoring technologies.

Recent Grants

Grant: Close

System-science Informed Public Health and Economic Research for Non-communicable Disease Prevention (the SIPHER Consortium)

Open Date: 2020-07-22

Close Date: 2024-09-14

Grant: Close

System-science Informed Public Health and Economic Research for Non-communicable Disease Prevention (the SIPHER Consortium)

Open Date: 2019-09-15

Close Date: 2020-07-21

Grant: Close

Frontier Engineering: Progression Grant in Modelling complex and partially identified engineering problems. Application to the musculoskeletal system.

Open Date: 2019-08-31

Close Date: 2022-02-28

Grant: Close

SYstems Science-based design and manufacturing of DYnamic MATerials and Structures (SYSDYMATS)

Open Date: 2018-09-30

Close Date: 2022-03-30

Grant: Close

Future Advanced Metrology Hub

Open Date: 2017-03-01

Close Date: 2024-02-29

Articles (14)

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2025

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2025

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2024

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2024

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2022

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2022

Collaborators (10)

Sean Anderson

Senior Lecturer

University of Sheffield

UNITED KINGDOM

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Andrew Mills

University of Sheffield

UNITED KINGDOM

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Paul Trodden

Lecturer

University of Sheffield

UNITED KINGDOM

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Yuchu Qin

University of Huddersfield

UNITED KINGDOM

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James Alix

Senior Clinical Lecturer

University of Sheffield

UNITED KINGDOM

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Shan Lou

Reader in Precision Metrology

University of Huddersfield

UNITED KINGDOM

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Simon Alexander Pope

UNITED KINGDOM

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Moschos Papananias

Lecturer

Brunel University London

UNITED KINGDOM

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Hadriano Morales Escamilla

University of Sheffield

UNITED KINGDOM

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Yunpeng Zhu

Lecturer in Systems Engineering

Queen Mary University of London

UNITED KINGDOM

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Visakan Kadirkamanathan

Research Interests

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About

Recent Grants

Articles (14)

BlurRes-UNet

Smooth linear-parameter-varying identification of gas turbine engine models: a polynomial approach

Distributed digital twins for health monitoring: resource constrained aero-engine fleet management

Interpretable Deep Learning for Nonlinear System Identification Using Frequency Response Functions With Ensemble Uncertainty Quantification

Metaparametric Neural Networks for Survival Analysis

Integrated Identification of the Nonlinear Autoregressive Models With Exogenous Inputs (NARX) for Engineering Systems Design

Estimation of potential field environments from heterogeneous behaviour of sensing agents

A two-step machining and active learning approach for right-first-time robotic countersinking through in-process error compensation and prediction of depth of cuts

Tensor electrical impedance myography identifies bulbar disease progression in amyotrophic lateral sclerosis

Supervised-distributed control with joint performance and communication optimisation

Stability analysis of DC micro-grids with CPLs under novel decentralized primary and distributed secondary control

A Bayesian information fusion approach for end product quality estimation using machine learning and on-machine probing

A material system with integrated fault diagnosis and feedback controlled self-healing

A probabilistic framework for product health monitoring in multistage manufacturing using Unsupervised Artificial Neural Networks and Gaussian Processes

Collaborators (10)

Sean Anderson

Andrew Mills

Paul Trodden

Yuchu Qin

James Alix

Shan Lou

Simon Alexander Pope

Moschos Papananias

Hadriano Morales Escamilla

Yunpeng Zhu

Make your next move.