Vidwan-ID : 231663



  • Dr Geetha Devanagavi

  • Professor
  • REVA University
Publications 2011 - 2022

Publications

  • 21
    Journal Articles
  • 20
    Conference
    Proceedings
  • 2
    Projects
  • 4
  • 16

Citations / H-Index

179 Citations
6 h-index
112 Citations

Altmetrics

3
3
3
82
3

Google Scholar

Co-author Network


Expertise

Computer Science Information Systems

Model to find Fault in WSN and solution, to provide secured path for transmitting data to destination node

Personal Information

Dr Geetha Devanagavi

Female
Computing and Information Technology REVA University, Rukmini Knowledge Park, Kattigenahalli, Yelahanka, Bangalore, Karnataka
Bangalore Urban, Karnataka, India - 560064


Experience

  • Professor

    School of Computing and Information Technology

    REVA University

  • Professor

    School OF Computing and Information Technology

    REVA University


Qualification

  • PhD

    Jain University


Honours and Awards

2012

Listed in “Marquis Who’s Who in the World”, 32nd Edition, USA.

USA

2012

Listed in “Marquis Who’s Who in the World”, 32nd Edition, USA.

USA

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Doctoral Theses Guided

2021

Localization and Time Synchronization in Wireless Sensor Networks

Nikhanth Tabassum, REVA University

2020

Distributed cooperative MIMO MAC protocol for wireless sensor network

Kummathai Chenna, REVA University

2020

Liquid crystal polymer substrate based micro-strip patch antenna for MIMO

Imran Khan, REVA University

2021

Localization and Time Synchronization in Wireless Sensor Networks

Nikhanth Tabassum, REVA University

2020

Distributed cooperative MIMO MAC protocol for wireless sensor network

Kummathai Chenna, REVA University

2020

Liquid crystal polymer substrate based micro-strip patch antenna for MIMO

Imran Khan, REVA University

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Membership In Professional Bodies

2002

IETE

professional

1999

ISTE

Member

2002

IETE

professional

1999

ISTE

Member

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Research Projects

High Throughput Phenotyping for Early Detection of Fungal Diseases in Grape Vineyard using Remote Sensing Techniques

Funding Agency : VGST

Cognitive Agent Based Resource Estimation and QoS Routing Management in Mobile Ad Hoc Networks

Funding Agency : VTU

High Throughput Phenotyping for Early Detection of Fungal Diseases in Grape Vineyard using Remote Sensing Techniques

Funding Agency : VGST

Cognitive Agent Based Resource Estimation and QoS Routing Management in Mobile Ad Hoc Networks

Funding Agency : VTU

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Patents




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