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Dr. GC Jana
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Dr. Gopal Chandra Jana, PhD, M.Tech.(CSE),B.E(IT)
Assistant Professor @
School of Computer Science and Engineering,
Galgotias University
School Address: C301, C Block, Galgotias University, Grater Noida, UP, India
CV,
Google scholar, HackerRank, Another Website,
ORCID, GitHub
Email: gcjana [at] gcjana [dot] in, gcjana [at] ieee [dot] org
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Short Biography
Dr. Gopal Chandra Jana (Dr. GC Jana) is an Assistant Professor in the School of Computer Science and Engineering, Galgotias University. He completed PhD 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 6 journal papers (SCIE and Scopus), 7 conference papers and hold one Copyright on a Software Tool. He is a Graduate Student Member of IEEE (USA), Student member of ACM(USA) and Associate Member of IE India (IEI).
He is potential reviewer of several international journals.
Research Interests
EEG Signal Analysis, Biomedical Signal and Image Processing, Human and Brain Computer Interface, Vision and Signal Processing, Machine Learning, Deep Learning, Explainable Machine Learning, Reinforcement Learning, Artificial Intelligence (AI) in Healthcare, Portable Real-time product for Healthcare, Assistive technology solution for healthcare and wellness
If You’re My Future Recruiter
I am looking for Postdoctoral Research Position starting from Spring 2025. A brife research experience mentioned as follows which could optimized your time to get into your interview board.
Self-motivated responsible senior PhD scholar with demonstrated research expertise growing in the domain of EEG signals Analysis and Machine Learning. Have interpersonal skill to learn new concept and adopt in research and academic. Rich experience in modeling and computer simulation, using MATLAB, Python Experienced with mostly familiar EEG signals processing tools like EEGLAB with MATLAB, EDFbrowser, pyEDF. Has idea relate to other existing EEG data visualization and processing tools like Bioelectromagnetism Matlab Toolbox, eeg-analysis-toolbox with MATLAB etc. Techniques explored and used related Signal processing/Analysis are: Filtering techniques (Butterworth etc.), FFT, DWT, EMD, ICA etc. Techniques explored and used related to Machine Learning are: ANN, SVM, ELM, ANFIS, CNN, CapsNet, including Transfer Learning and Reinforcement Learning. Exploring expandable deep learning concept. Experienced with other popular tools like FSL is a comprehensive library of analysis tools for FMRI, MRI and DTI brain imaging data. Experienced with Portable Batch System (PBS) to manage the distribution of batch Jobs and interactive sessions across the available nodes in the high performance GPU/CPU cluster. Explored Google Cloud Platform for setup a VM with GPU for running high computing jobs. Experienced with: Linux/Windows, High Performance Computing, LaTeX-Overleaf, Origin, MS-office, Moodle for LMS etc. Experienced with manuscript preparation, review, modification, communicate, rebuttal preparation for reviewers and proof reading etc. related to manuscript preparation to publication. Believe In: Integrity, Responsibility, Continuity, Consistency, Dignity
If you know of any relevant opportunities in the globe, I would appreciate if you could notify/contact me with details.
If you have relevant opening and are interested, you can review the following documents: Research Statement, Teaching Statement, and CV
News
Aug 5, 2024: I successfully defended my PhD Thesis work. Aug 18, 2023: PhD Thesis submitted Aug 8, 2023: Software copyright of “IIITA AlumniConnect” registered (SW-17059/2023) under the Copyright Office of GoI. Feb 22, 2023:Our Paper "Capsule neural network based approach for subject specific and cross-subjects seizure detection from EEG signals" accepted for publication in Multimedia Tools and Applications(Springer) Dec 27, 2022: PhD Open Seminar Completed Jan 25, 2022:Our Paper "DWT-EMD Feature level Fusion based Approach over Multi and Single Channel EEG Signals for Seizure Detection" accepted for publication in Diagnostics(MDPI) Nov 7, 2021: Our Paper "Capsule Neural Networks on Spatio-temporal EEG frames for Cross-Subject Emotion Recognition" accepted for publication in Biomedical Signal Processing & Control (Elsevier) Mar 29, 2021: Our Paper "A Multi-View SVM Approach for Seizure Detection from Single Channel EEG signals" accepted for publication in IETE Journal of Research (Taylor and Francis) Feb. 2020:...
Grants
Selected Publications:
Gopal Chandra Jana et. al.,
“Capsule neural network based approach for subject specific and cross-subjects seizure detection from EEG signals” Multimedia Tools and Applications(Springer) [Q1] ,
Vol. 82, Issue. xx, pp. 35221–35252, 2023. RIS,
Source Code,
Paper(PDF).
X
Copyright Alert !
☆ PDF version of this paper has been included here only for the non-commercial academic and research use. Entire content copyright maintained by the Journal and Springer Nature. Any form of Copying (including figures, etc.) from this article aren't allowed and Violate copyright policy of the journal without proper citation.Paper(PDF).
Gopal Chandra Jana, Anupam Agrawal et. al.,
“DWT-EMD Feature Level Fusion Based Approach over Multi and Single Channel EEG Signals for Seizure Detection” Diagnostics(MDPI) [Q2] ,
Vol. 12, Issue. 2, pp. 324, 2022. BibTeX,
Source Code,
Paper(PDF).
X
Copyright Alert !
☆ PDF version of this paper has been included here only for the non-commercial academic and research use. Entire content copyright maintained by the Journal and MDPI. Any form of Copying (including figures, etc.) from this article aren't allowed and Violate copyright policy of the journal without proper citation.Paper(PDF).
Gopal Chandra Jana, Anshuman Sabath and Anupam Agrawal,
“Capsule neural networks on spatio-temporal EEG frames for cross-subject emotion recognition” Biomedical Signal Processing and Control (Elsevier) [Q1] ,
Vol. 72, Issue. B, pp. 103361, 2022. BibTeX,
Source Code,
Paper(PDF).
X
Copyright Alert !
☆ PDF version of this paper has been included here only for the non-commercial academic and research use. Entire content copyright maintained by the Journal and Elsevier. Any form of Copying (including figures, etc.) from this article aren't allowed and Violate copyright policy of the journal without proper citation.Paper(PDF).
Gopal Chandra Jana, Mogullapally Sai Praneeth and Anupam Agrawal, “A Multi-View SVM Approach for Seizure Detection from Single Channel EEG Signals” IETE Journal of Research (Taylor & Francis) [Q3] ,
Vol. xx, Issue. xx, pp. xx, 2021. BibTeX,
Source Code,
Paper(PDF).
X
Copyright Alert !
☆ PDF version of this paper has been included here only for the non-commercial academic and research use. Entire content copyright maintained by the Journal and Taylor & Francis. Any form of Copying (including figures, etc.) from this article aren't allowed and Violate copyright policy of the journal without proper citation.Paper(PDF).
Gopal Chandra Jana, Aleena Swetapadma and Prasant K. Pattnaik, “Enhancing the Performance of Motor Imagery Classification to Design a Robust Brain Computer Interface using Feed Forward Back-Propagation Neural Network” Ain Shams Engineering Journal (Elsevier) [Q1] , Vol. 9, No. 4, pp. 2871-2878, 2018. BibTeX,
Paper(PDF).
X
Copyright Alert !
☆ PDF version of this paper has been included here only for the non-commercial academic and research use. Entire content copyright maintained by the Journal and Elsevier. Any form of Copying (including figures, etc.) from this article aren't allowed and Violate copyright policy of the journal without proper citation.Paper(PDF).
Gopal Chandra Jana, Aleena Swetapadma and Prasant K. Pattnaik, “A Hybrid Method for Classification of Physical Action Using Discrete Wavelet Transform and Artificial Neural Network” International Journal of Bioinformatics Research and Applications (IJBRA)-Inderscience, [Q4] , Vol. 17, No. 1, pp. 25-37, 2021. BibTeX,
Paper(PDF).
X
Copyright Alert !
☆ PDF version of this paper has been included here only for the non-commercial academic and research use. Entire content copyright maintained by the Journal and Inderscience. Any form of Copying (including figures, etc.) from this article aren't allowed and Violate copyright policy of the journal without proper citation.Paper(PDF).
Sabyasachi Chakraborty, Gopal Chandra Jana, et al., “An improved method using supervised learning technique for diabetic retinopathy detection” International Journal of Information Technology (Springer) [Q2], Vol. 12, pp. 473–477, 2020. RIS,
Paper(PDF).
X
Copyright Alert !
☆ PDF version of this paper has been included here only for the non-commercial academic and research use. Entire content copyright maintained by the Journal and Springer. Any form of Copying (including figures, etc.) from this article aren't allowed and Violate copyright policy of the journal without proper citation.Paper(PDF).
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