Vidvan Image

Dr Rajdeep Ghosh

vidwan id: 343796
Male

Assistant Professor, School of Computing Science and Engineering
VIT Bhopal University, Sehore

Expertise

  • Computer Science Software Engineering

Publications

Total Articles 12
Books 0
Proceedings 0

Publications

No publication activity to display at the moment.

Scopus

Citations 428
h-index 8

CrossRef

CrossRef Icon
Citations 219
h-index 8
Google Scholar

Loading Scholar statistics...

Professional Recognition

No Data Found

There is currently nothing to display here.

Community & Membership

No Data Found

There is currently nothing to display here.

No Data Found

There is currently nothing to display here.

Bio

I have worked in the domain of quantum computing, brain computer interface.

Personal Details

  • Male
  • Assistant Professor , VIT Bhopal University, Sehore
  • VIT Bhopal University, Kothrikalan
PhD
Other Institute 2021
Assistant Professor Mar 2022 – Present
VIT Bhopal University, Sehore | School of Computing Science and Engineering

Related Profiles

Experts (10184+)

View All
Pragati

Ms Pragati Mishra

Assistant Professor

Sridhar

Dr Sridhar Sekar

Assistant Professor

Md

Dr Md Nadeem M

Assistant Professor

Rashmi

Rashmi Chandra

Assistant Professor

Abhishek

Mr Abhishek Shukla

Assistant Professor (Grade-I)

N

Dr N PRAKASH

Assistant Professor

Mrinmoy

Mr Mrinmoy Sadhukhan

Research Scholar

Haranath

Mr Haranath Rakshit

Junior Research Fellow

Organisations (234+)

View All
Buvaneswari

Dr Buvaneswari PR

Assistant Professor

Balaji

Dr Balaji A

Assistant Professor

GL

Dr GL Balaji

Assistant Professor

Avirup

Dr Avirup Das

Assistant Professor - Senior Scale

Azra

Dr Azra Nazir

Assistant Professor

Arun Kumar

Dr Arun Kumar K

Assistant Professor (Senior Grade)

Atul

Dr Atul Aman

Assistant Professor

Ashok Kumar

Dr Ashok Kumar Patel

Assistant Professor

Benevatho Jaison

Dr Benevatho Jaison A

Assistant Professor

Baseera

Dr Baseera A

Assistant Professor

Co-Authors (7)

Nabamita

Dr Nabamita Deb

Gauhati University

Rajdeep

Dr Rajdeep Ghosh

Pandit Deendayal Upadhyaya Adarsha Mahavidyalya, Amjonga

Nidul

Dr Nidul Sinha

National Institute of Technology Silchar

Pranesh

Dr Pranesh Das

National Institute of Technology Calicut

Ramesh

Dr Ramesh Saha

VIT Bhopal University, Sehore

Saroj Kr

Dr Saroj Kr Biswas

National Institute of Technology Silchar

Md. Zaved Iqubal

Dr Md. Zaved Iqubal Ahmed

PANDIT DEENDAYAL UPADHYAYA ADARSHA MAHAVIDYALAYA DALGAON

Scholarly Work

No Data Found

There is currently nothing to display here.

No Data Found

There is currently nothing to display here.

No Data Found

There is currently nothing to display here.

Scholarly Publications

Unsupervised feature extraction with autoencoders for EEG based multiclass motor imagery BCI

Open Access
Article

A Novel Baseline Removal Paradigm for Subject-Independent Features in Emotion Classification Using EEG

Open Access
Article
Authors: Ahmed M.Z.I.;Sinha N.;Ghaderpour E.;Phadikar S.;Ghosh R.

Automatic Eyeblink and Muscular Artifact Detection and Removal From EEG Signals Using k-Nearest Neighbor Classifier and Long Short-Term Memory Networks

Open Access
Article
Authors: Ghosh R.;Phadikar S.;Deb N.;Sinha N.;Das P.;Ghaderpour E.

SAM 40: Dataset of 40 subject EEG recordings to monitor the induced-stress while performing Stroop color-word test, arithmetic task, and mirror image recognition task

Open Access
Data Paper
Authors: Ghosh R.;Deb N.;Sengupta K.;Phukan A.;Choudhury N.;Kashyap S.;Phadikar S.;Saha R.;Das P.;Sinha N.;Dutta P.

Classification of Silent Speech in English and Bengali Languages Using Stacked Autoencoder

Open Access
Article

Automatic Muscle Artifacts Identification and Removal from Single-Channel EEG Using Wavelet Transform with Meta-Heuristically Optimized Non-Local Means Filter

Open Access
Article
Authors: Phadikar S.;Sinha N.;Ghosh R.;Ghaderpour E.

Automatic Eyeblink Artifact Removal from EEG Signal Using Wavelet Transform with Heuristically Optimized Threshold

Open Access
Article

Removal of Eye-Blink Artifact from EEG Using LDA and Pre-trained RBF Neural Network

Open Access
Conference Paper