Dr. Gopal Chandra Jana

About

Dr. Gopal Chandra Jana (Dr. GC Jana) is an Assistant Professor in the Department of Computer Science and Engineering, School of Computing Science and Engineering, at Sharda University. He completed PhD (Full-time) under the supervision of Prof. Anupam Agrawal, in the Dept of IT, IIIT Allahabad (Prayagraj). He completed Bachelor of Engineering (B.E) in Information Technology from the Department of Information Technology, University Institute of Technology, The University of Burdwan in 2015, and Master of Technology (M.Tech) in Computer Science and Engineering with specialization in Computer Science and Engineering from the School of Computer Engineering, KIIT Deemed to be University in 2017. He has published several research articles in reputed journals, conference papers, and holds a Copyright on a Software Tool. He is a Graduate Student Member of IEEE (USA) and an Associate Member of IE India (IEI). He is a potential reviewer of several reputed international journals.
Website: https://www.gcjana.in/

Employment

• Indian Institute of Information Technology Allahabad Teaching Assistant
  2018 - 2023
• KIIT University Junior Research Fellow
  2017 - 2017

Education

• Indian Institute of Information Technology Allahabad PhD Research Scholar
  2018 - Present
• KIIT University M. Tech
  2015 - 2017
• University of Burdwan B.E
  2011 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (19)

• EEG VMAC Toolbox: A User-Friendly Open-Source Toolbox for EEG Signals Visualization Manipulation Analysis and Classification
  Procedia Computer Science 2025 DOI: 10.1016/j.procs.2025.04.342
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• Capsule neural network based approach for subject specific and cross-subjects seizure detection from EEG signals
  Multimedia Tools and Applications 2023 DOI: 10.1007/s11042-023-14995-w
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• Depressive and Non-depressive Tweets Classification using a Sequential Deep Learning Model
  2023 International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC) 2023 DOI: 10.1109/isacc56298.2023.10083981
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• A Multi-view Representation Learning Approach for Seizure Detection Over Multi-channel EEG Signals
  Intelligent Data Engineering and Analytics 2023 DOI: 10.1007/978-981-19-7524-0_33
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• Capsule neural networks on spatio-temporal EEG frames for cross-subject emotion recognition
  Biomedical Signal Processing and Control 2022 DOI: 10.1016/j.bspc.2021.103361
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• DWT-EMD Feature Level Fusion Based Approach over Multi and Single Channel EEG Signals for Seizure Detection
  Diagnostics 2022 DOI: 10.3390/diagnostics12020324
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• A Multi-View SVM Approach for Seizure Detection from Single Channel EEG Signals
  IETE Journal of Research 2021 DOI: 10.1080/03772063.2021.1913074
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• A Hybrid Method for Classification of Physical Action Using Discrete Wavelet Transform and Artificial Neural Network
  International Journal of Bioinformatics Research and Applications 2021 DOI: 10.1504/ijbra.2021.10022014
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• Performance Estimation and Analysis Over the Supervised Learning Approaches for Motor Imagery EEG Signals Classification
  Intelligent Computing and Applications 2021 DOI: 10.1007/978-981-15-5566-4_12
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• An improved method using supervised learning technique for diabetic retinopathy detection
  International Journal of Information Technology 2020 DOI: 10.1007/s41870-019-00318-6
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