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Dr Shabnam Samima

vidwan id: 465992
Female

Assistant Professor, Department of Computer Science Engineering
Mahindra University, Hyderabad

Expertise

  • Computer Science Information Systems

Publications

Total Articles 14
Books 0
Proceedings 0

Publications

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Scopus

Citations 100
h-index 6

CrossRef

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Citations 11
h-index 2
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Professional Recognition

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Bio

Signal Processing, Feature Extraction

Personal Details

  • Female
  • Assistant Professor , Mahindra University, Hyderabad
  • Department of Computer Science Engineering,Mahindra University, Survey No.62/1A, Bahadurpally, Jeedimetla, Hyderabad-500089
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Assistant Professor Jul 2022 – Present
Mahindra University, Hyderabad | Department of Computer Science Engineering

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Organisations (192+)

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Co-Authors (9)

Debasis

Dr Debasis Samanta

Indian Institute of Technology Kharagpur

Mohd

Dr Mohd Zuhair

Institute of Technology, Nirma University

Monalisa

Dr Monalisa Sarma

Indian Institute of Technology Kharagpur

Neeraj

Dr Neeraj Kumar

University of Petroleum and Energy Studies, Dehradun

Pabitra

Prof Pabitra Mitra

Indian Institute of Technology Kharagpur

Sreeja

Dr Sreeja S R

Indian Institute of Information Technology, Chittoor

Suvamoy

Dr Suvamoy Changder

National Institute of Technology Durgapur

Tauheed

Dr Tauheed Ahmed

Mahindra University, Hyderabad

Scholarly Work

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Scholarly Publications

Mental workload level assessment based on compounded hysteresis effect

Open Access
Article

FIMBISAE: A Multimodal Biometric Secured Data Access Framework for Internet of Medical Things Ecosystem

Open Access
Article

<i>FIMBISAE</i>: A Multimodal Biometric Secured Data Access Framework for Internet of Medical Things Ecosystem

Open Access
journal-article

Estimation and quantification of vigilance using ERPs and eye blink rate with a fuzzy model-based approach

Open Access
Article

EEG-Based Mental Workload Estimation

Open Access
Conference Paper

EEG-Based Mental Workload Estimation

Open Access
conference-paper
Authors:

Mental workload estimation from EEG signals using machine learning algorithms

Open Access
Conference Paper