Vidwan-ID : 183523

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Criteria Point
Personal Details 1
Expertise Details 1
Experience Details 1
Qualification Details 1
Employee ID 0.2
Orcid ID 0.2
Researcher ID 0.2
Scopus ID 0.2
Google Scholar ID 0.2
Honours <=3< /td> 0.3
Honours >3 0.5
Project worth less than Rs.5,00,000/- 0.2
Project worth more than Rs.5,00,000/- 0.5
Membership in professional Bodies < 5 0.5
Membership in professional bodies >=5 1
No of publications <=15 1
No of publications between 15-45 2
No of publications >45 3

Vidwan Score 6.5

65% Complete
3 Articles
3 Books
1 Projects

Dr Sagar Yeruva

Associate Professor
Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology

Publications

  • 3
    Journal Articles
  • 3
    Book
  • 7
    Conference
    Proceedings
  • 1
    Projects
  • 1
  • 3

Citations / H-Index

41 Citations
2 h-index
14 Citations


Google Scholar


Co-author Network


Expertise

Computer Science Information Systems

Data Bases, Data Mining and Warehouse Systems, Data Analytics, Machine Learning and Deep Learning

Personal Information

Dr Sagar Yeruva

1978 Male
Department Of CSE Vallurupalli Nageswara Rao Vignana Jyothi Institute Of Engineering And Technology
Hyderabad, Telangana, India - 500090


Experience in Months

Academic: 10 Administrative: 0 Industry: 0

Experience

  • Associate Professor

    Department of Computer Science and Engineering

    Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology, Medchal–Malkajgiri


Qualification

  • Ph.D

    Jawaharlal Nehru Technological University Hyderabad


Membership In Professional Bodies

2017

IEEE

Associate Member

2010

Computer Society of India

Life Member

2010

ISTE

Life Member

2017

IEEE

Associate Member

2010

Computer Society of India

Life Member

2010

ISTE

Life Member

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Membership In Committees

2019

CSI Hyderabad Management Committee

MC Member

2017

Board of Studies, CSE-IT

Member

2019

CSI Hyderabad Management Committee

MC Member

2017

Board of Studies, CSE-IT

Member

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Research Projects

Identification of Sickle Cell Anemia using Deep Neural Networks

Funding Agency : JNTU Hyderabad TEQIP-III

Identification of Sickle Cell Anemia using Deep Neural Networks

Funding Agency : JNTU Hyderabad TEQIP-III

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Publications (13)