Academic Identity

Vidwan-ID : 135777

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  • Dr H. Rehana banu

  • Assistant Professor
  • PSGR Krishnammal College for Women
Publications 2012 - 2023

Publications

  • 12
    Journal Articles
  • 1
    Book Chapter
  • 1
    Review
  • 3
    Projects

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Expertise

Mycology

Microbiology and Plant Pathology

Personal Information

Dr H. Rehana banu

Female
PSGR Krishnammal College for Women, Peelamedu
Coimbatore, Tamil Nadu, - 641004

Experience

  • Assistant Professor

    B.Sc. Botany and M.Sc Botany (Aided)

    PSGR Krishnammal College for Women

Qualification

  • Ph.D

    Bharathiar University

Doctoral Theses Guided

2023

Characterization of an unexplored lichen Hypotrachyna infirma (Kurok.) Hale and its selected endolichenic fungi for biological properties

Dr. R. Gokilavani, PSGRKCW, BHARATHIAR UNIVERSITY

2023

Characterization of an unexplored lichen Hypotrachyna infirma (Kurok.) Hale and its selected endolichenic fungi for biological properties

Dr. R. Gokilavani, PSGRKCW, BHARATHIAR UNIVERSITY

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Membership In Professional Bodies

2018

Indian Science Congress Association

Life Member

2018

Indian Science Congress Association

Life Member

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Research Projects

PHYCOREMEDIATION OF LAKE WATER– A SYNERGISTIC APPROACH USING MICROALGAE

Funding Agency : GRG TRUST

Exploration of Arbuscular Mycorrhizal Fungi (AMF) in the rhizosphere of five varieties of Cocos nucifera L. in Pollachi Taluk, Coimbatore District, Tamilnadu, India

Funding Agency : Department of Biotechnology, New Delhi

An autonomous tool to predict the Ayurvedic leaf and its medicinal benefits using machine learning algorithms

Funding Agency : GRG Trust

PHYCOREMEDIATION OF LAKE WATER– A SYNERGISTIC APPROACH USING MICROALGAE

Funding Agency : GRG TRUST

Exploration of Arbuscular Mycorrhizal Fungi (AMF) in the rhizosphere of five varieties of Cocos nucifera L. in Pollachi Taluk, Coimbatore District, Tamilnadu, India

Funding Agency : Department of Biotechnology, New Delhi

An autonomous tool to predict the Ayurvedic leaf and its medicinal benefits using machine learning algorithms

Funding Agency : GRG Trust

Read Less

Publications (14)

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