Vidwan-ID : 107267



  • Dr Nagamani Gnaneswaran

  • Assistant Professor - Selection Grade
  • Gandhigram Rural Institute
Publications 2010 - 2024

Publications

  • 70
    Journal Articles
  • 4
    Conference
    Proceedings
  • 1
    Review
  • 3
    Projects
  • 33

Citations / H-Index

1003 Citations
21 h-index
502 Citations

Google Scholar

Co-author Network


Expertise

Applied Mathematics

Neural Networks, Dissipativity and Passivity theory

Personal Information

Dr Nagamani Gnaneswaran

Female
Department of Mathematics, Gandhigram Rural University, Gandhigram
, Tamil Nadu, India - 624302


Experience

  • Assistant Professor - Selection Grade

    Department of Mathematics

    Gandhigram Rural Institute

  • Assistant Professor - Senior Scale

    Gandhigram Rural Institute

  • Assistant Professor

    Department of Mathematics

    Gandhigram Rural Institute


Qualification

  • Ph.D

    Gandhigram Rural Institute

  • M.Phil

    Bharathiar University

  • M.Sc

    Sri Sarada College for Women

  • B.Sc

    Sri Sarada College for Women


Honours and Awards

2016

Research Professor Fellowship

Kunsan National University, Gunsan, Republic of Korea

2012

Tamil Nadu Young Women Scientists Award

Science City, Department of Higher Education, Government of Tamil Nadu

2010

CSIR-JRF

CSIR-UGC Test for JRF

2016

Research Professor Fellowship

Kunsan National University, Gunsan, Republic of Korea

2012

Tamil Nadu Young Women Scientists Award

Science City, Department of Higher Education, Government of Tamil Nadu

2010

CSIR-JRF

CSIR-UGC Test for JRF

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Doctoral Theses Guided

2024

Studies on stability for delayed dynamical systems via various control approaches

Karthik C, Gandhigram Rural Institute

2024

A study on the dynamical characteristics of fractional-order neural networks

Shafiya M, Gandhigram Rural Institute

2024

State estimation and synchronization analysis for a class of neural networks with time-varying delays

Karnan A, Gandhigram Rural Institute

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2024

Studies on stability for delayed dynamical systems via various control approaches

Karthik C, Gandhigram Rural Institute

2024

A study on the dynamical characteristics of fractional-order neural networks

Shafiya M, Gandhigram Rural Institute

2024

State estimation and synchronization analysis for a class of neural networks with time-varying delays

Karnan A, Gandhigram Rural Institute

2024

Extended dissipativity based performance analysis for a class delayed discrete-time neural networks

Adhira B, Gandhigram Rural Institute

2021

Studies on robust performance of discrete-time neural networks with time-varying delays

Soundararajan G, Gandhigram Rural Institute

2017

Studies on extended passivity results for neural networks with time-delays

T. Radhika, Gandhigram Rural Institute

2017

Studies on dissipativity and passivity analysis for discrete-time dynamical neural networks

S. Ramasamy, Gandhigram Rural Institute

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Research Projects

Extended Dissipativity Performance for Delayed Discrete-Time Neural Networks and its Engineering Applications

Funding Agency : Science and Engineering Research Board

Studies on Passivity and Dissipativity analysis of Discrete-time Dynamical Systems

Funding Agency : National Board for Higher Mathematics

Studies on passivity analysis for discrete-time neural networks with time-varying delays

Funding Agency : University Grants Commission, New Delhi, India

Extended Dissipativity Performance for Delayed Discrete-Time Neural Networks and its Engineering Applications

Funding Agency : Science and Engineering Research Board

Studies on Passivity and Dissipativity analysis of Discrete-time Dynamical Systems

Funding Agency : National Board for Higher Mathematics

Studies on passivity analysis for discrete-time neural networks with time-varying delays

Funding Agency : University Grants Commission, New Delhi, India

Read Less