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Dr Sapna Jain

vidwan id: 123379
Female

Assistant Professor, Department of Computer Science and Engineering
Jamia Hamdard

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 29
Books 0
Proceedings 0

Publications

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Scopus

Citations 12
h-index 2

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Citations 0
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Bio

Sapna Jain is working as an Assistant Professor in Department of Computer Science and Engineering, Jamia Hamdard University, India. She obtained her PhD in Computer Science from the Jamia Hamdard University, her MCA from Maharishi Dayanand University, Rohtak and her BCom from Delhi University. Her research areas include data mining, sustainable development, green computing, blockchain and Internet of Things. She has co-authored book on “Green Computing approach towards Sustainable Developme

Personal Details

  • Female
  • Assistant Professor , Jamia Hamdard
  • Jamia Hamdard, Hamdard Nagar
PhD
Other Institute 2016
Assistant Professor Aug 2018 – Present
Jamia Hamdard | Department of Computer Science and Engineering

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Co-Authors (7)

Manjari

Dr Manjari Gupta

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Dr Parul Agarwal

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Pavithra S

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Scholarly Work

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Scholarly Publications

Psychological Impact and Assessment of Youth for the Use of Social Network

Open Access
book chapter
Authors: Dr Sapna Jain ,Prof M Afshar Alam

Implementation of ICT Technology for Sustainable Development Goals

Open Access
conference proceedings
Authors: Afshar alam,Nilofar A Kazi

Visualisation and Analysis of BigData through Business Intelligence

Open Access
article
Authors: Afshar alam,Nasreen Fatima

I.K Publication

Open Access
book
Authors: Prof M Afshar Alam,Dr Sapna Jain ,Ms Heena Parveen

Comparative Study of Traditional Database and Cloud Computing Database

Open Access
article
Authors: Afshar alam

Comparative Study of Traditional Database and Cloud Computing Database

Open Access
article

SORA: An application of scaled k-means to remove outliers on multidimensional dataset.

Open Access
article
Authors: Afshar alam

SAS: Implementation of scaled association rules on spatial multidimensional quantitative dataset

Open Access
article