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Visakan Kadirkamanathan

Visakan Kadirkamanathan

D-Index & Metrics

Computer Science

D-Index
32
Citations
5549
World Ranking
13015
National Ranking
830

Overview

Visakan Kadirkamanathan is affiliated with the University of Sheffield in the United Kingdom. Their research is primarily situated within the field of Engineering, encompassing a significant body of work across multiple subfields, including Control and Systems Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering, Biomedical Engineering, and Electrical and Electronic Engineering.

The scientist's research topics cover a diverse range of areas. These include:

  • Manufacturing Process and Optimization
  • Advanced machining processes and optimization
  • Bone health and osteoporosis research
  • Control Systems and Identification
  • Bone fractures and treatments
  • Digital Transformation in Industry
  • Probabilistic and Robust Engineering Design

Visakan Kadirkamanathan has published several papers recently, illustrating their research focus and interdisciplinary approach. Notable recent publications are:

  • Current-Limiting Droop Control Design and Stability Analysis for Paralleled Boost Converters in DC Microgrids, 2020, IEEE Transactions on Control Systems Technology
  • A data-driven approach for predicting printability in metal additive manufacturing processes, 2020, Journal of Intelligent Manufacturing
  • Pioneer neutrophils release chromatin within in vivo swarms, 2021, eLife
  • Bone remodelling in the mouse tibia is spatio-temporally modulated by oestrogen deficiency and external mechanical loading: A combined in vivo/in silico study, 2020, Acta Biomaterialia
  • Guidance on the use of complex systems models for economic evaluations of public health interventions, 2023, Health Economics

The scientist frequently collaborates with a group of co-authors, with repeated joint publications indicating established research partnerships. These frequent collaborators include:

  • Andrew R. Mills
  • James J. P. Alix
  • Chlöe N. Schooling
  • Vee San Cheong
  • Enrico Dall'Ara

Visakan Kadirkamanathan's publications are often featured in several prominent venues, reflecting their expertise across fields. Frequent publication venues include:

  • arXiv (Cornell University)
  • Frontiers in Bioengineering and Biotechnology
  • IEEE Transactions on Control Systems Technology
  • Health Economics
  • Acta Biomaterialia

Best Publications

  • A function estimation approach to sequential learning with neural networks

    Visakan Kadirkamanathan;Mahesan Niranjan

  • Stability analysis of the particle dynamics in particle swarm optimizer

    V. Kadirkamanathan;K. Selvarajah;P.J. Fleming

  • Dynamic structure neural networks for stable adaptive control of nonlinear systems

    S. Fabri;V. Kadirkamanathan

  • Particle filtering based likelihood ratio approach to fault diagnosis in nonlinear stochastic systems

    Ping Li;V. Kadirkamanathan

  • Point process modelling of the Afghan War Diary

    Andrew Zammit-Mangion;Andrew Zammit-Mangion;Michael Dewar;Visakan Kadirkamanathan;Guido Sanguinetti

  • Functional Adaptive Control: An Intelligent Systems Approach

    Simon G. Fabri;Visakan Kadirkamanathan

  • Predictive control for non-linear systems using neural networks

    G P Liu;V Kadirkamanathan

  • Lead optimization using matched molecular pairs: inclusion of contextual information for enhanced prediction of HERG inhibition, solubility, and lipophilicity.

    George Papadatos;Muhammad Alkarouri;Valerie J Gillet;Peter Willett

  • Variable neural networks for adaptive control of nonlinear systems

    G.P. Liu;V. Kadirkamanathan;S.A. Billings

  • Estimation of parameters in a linear state space model using a Rao-Blackwellised particle filter

    P. Li;R. Goodall;V. Kadirkamanathan

  • Source-Side Series-Virtual-Impedance Control to Improve the Cascaded System Stability and the Dynamic Performance of Its Source Converter

    Xin Zhang;Qing-Chang Zhong;Visakan Kadirkamanathan;Jinsong He

  • Particle filtering-based fault detection in non-linear stochastic systems

    Visakan Kadirkamanathan;Ping Li;Mohamed Hisham Jaward;Simon G. Fabri

  • Functional Adaptive Control

    Simon G. Fabri;Visakan Kadirkamanathan

  • Current-Limiting Droop Control Design and Stability Analysis for Paralleled Boost Converters in DC Microgrids

    A.-C. Braitor;G. C. Konstantopoulos;V. Kadirkamanathan

  • On-line identification of nonlinear systems using Volterra polynomial basis function neural networks

    Guoping P. Liu;Visakan Kadirkamanathan;Steve A. Billings

  • Multiobjective criteria for neural network structure selection and identification of nonlinear systems using genetic algorithms

    G.P. Liu;V. Kadirkamanathan

  • Modelling and identification of non-linear deterministic systems in the delta-domain

    S. R. Anderson;V. Kadirkamanathan

  • Nonlinear system identification using wavelet networks

    Guoping Liu;Stephen A. Billings;Visakan Kadirkamanathan

  • Statistical Control of RBF-like Networks for Classification

    Norbert Jankowski;Visakan Kadirkamanathan

  • A data-driven framework for neural field modeling

    Dean R. Freestone;Parham Aram;Michael Dewar;Michael Dewar;Kenneth Scerri

  • Stability Analysis of the Particle Dynamics in

    Visakan Kadirkamanathan;Kirusnapillai Selvarajah;Peter J. Fleming

Frequent Co-Authors

Stephen A. Billings
Stephen A. Billings University of Sheffield
Peter J. Fleming
Peter J. Fleming University of Sheffield
Guo-Ping Liu
Guo-Ping Liu Southern University of Science and Technology
Guido Sanguinetti
Guido Sanguinetti International School for Advanced Studies
Stephen A. Renshaw
Stephen A. Renshaw University of Sheffield
Qing-Chang Zhong
Qing-Chang Zhong Illinois Institute of Technology
Geoffrey Holmes
Geoffrey Holmes University of Waikato
Phillip C. Wright
Phillip C. Wright Newcastle University
David B. Grayden
David B. Grayden University of Melbourne
Alon Kuperman
Alon Kuperman Ben-Gurion University of the Negev

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