Vidwan-ID : 117018



  • Dr H Hannah Inbarani

  • Associate Professor
  • Periyar University
Publications 2006 - 2023

Publications

  • 82
    Journal Articles
  • 1
    Book Chapter
  • 29
    Conference
    Proceedings
  • 9
    Incollection
  • 2
    Projects

Citations / H-Index

2 Citations
1 h-index

Google Scholar

Co-author Network


Expertise

Computer Science Software Engineering

Data Mining , Image Processing , Signal Processing , Machine Learning

Personal Information

Dr H Hannah Inbarani

Female
Department of Computer Science Periyar University, Periyar
Salem, Tamil Nadu, India - 636011


Experience

  • Associate Professor

    Department of Computer Science

    Periyar University

  • Assistant Professor

    Department of Computer Science

    Periyar University

  • Assistant Professor

    Department of Computer Science

    The American College


Qualification

  • Ph.D

    Periyar University

  • M.Phil

    Manonmaniam Sundaranar University

  • M.Sc

    Bharathidasan University

  • B.Sc

    Madurai Kamraj University


Honours and Awards

2020

Best research paper award in the International Conference on Prominent Challenges in Information Technology

St.Joseph college for woomen

2018

Best paper award in the International Conference on Innovations in Science, Engineering and Technology for Sustainable Development

Department of Science and Technology - SERB, Muthayammal Engineering College

2015

Outstanding Faculty Award

Venus International Foundation - VIFFA

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2020

Best research paper award in the International Conference on Prominent Challenges in Information Technology

St.Joseph college for woomen

2018

Best paper award in the International Conference on Innovations in Science, Engineering and Technology for Sustainable Development

Department of Science and Technology - SERB, Muthayammal Engineering College

2015

Outstanding Faculty Award

Venus International Foundation - VIFFA

2012

Best research paper award in the IEEE International Conference on Advances In Engineering

E.G.S Pillay Engineering College

2011

Best research paper award in the National Conference on Computer & Communication Technology

Department of computer application, Easwari Engineering College

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Doctoral Theses Guided

2021

Efficient Mobility Based Routing For Mobile Ad-hoc Networks Using Soft Computing Techniques

T.Sudhakar, Periyar University

2020

Analysis and Classification of Motor Imagery Brain Signals using Rough Set based Models

K. Renugadevi, Periyar University

2020

COGNITIVE COMPUTING APPROACH TO NATURAL LANGUAGE PROCESSING FOR CATEGORIZING MASSIVE TAMIL SCALABLE DATA

M. Thangarasu, Periyar University

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2021

Efficient Mobility Based Routing For Mobile Ad-hoc Networks Using Soft Computing Techniques

T.Sudhakar, Periyar University

2020

Analysis and Classification of Motor Imagery Brain Signals using Rough Set based Models

K. Renugadevi, Periyar University

2020

COGNITIVE COMPUTING APPROACH TO NATURAL LANGUAGE PROCESSING FOR CATEGORIZING MASSIVE TAMIL SCALABLE DATA

M. Thangarasu, Periyar University

2020

MULTIMODAL BIOMETRIC IDENTIFICATION SYSTEM USING SOFT COMPUTING TECHNIQUES

B Lavanya, Periyar University

2019

Protein sequence analysis and Structure classification using computational intelligence approaches

M. Bagyamathi , Periyar University

2019

Acute lymphoblastic leukemia detection and classification using computational intelligence techniques

G. Jothi , Periyar University

2018

Recommendation models for social tagging system using soft computing techniques

S. Selvakumar, Periyar University

2018

ECG signal based diagnosis of cardiovascular disease using soft computing techniques

S. Udhayakumar, Periyar University

2018

Cardiac signal analysis and classification using rough set based models

S. Senthilkumar, Periyar University

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Membership In Committees

2019

AISHE

Nodal Officer

2019

AISHE

Nodal Officer

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Research Projects

Web 2.0 Technology Enhanced Personalized E-Learning using Computational Intelligent Techniques

Funding Agency : UGC

Early diagnosis of cardiovascular disease and rehabilitative BCI for brain stroke patient

Funding Agency : DST- NASI

Web 2.0 Technology Enhanced Personalized E-Learning using Computational Intelligent Techniques

Funding Agency : UGC

Early diagnosis of cardiovascular disease and rehabilitative BCI for brain stroke patient

Funding Agency : DST- NASI

Read Less