Santosh Satapathy

About

Dr.Santosh Kumar Satapathy received his Ph.D. in Computer Science and Engineering from Pondicherry University(Central University), Puducherry, India in the year 2022.He completed his M.Tech in CSE from BPUT, Rourkela, Odisha, India in 2012. He did Bachelor's degree in IT from BPUT, Rourkela, Odisha, India in the year 2009. He is also playing the role of a reviewer of many reputed journals, such as Scientific Reports(Springer Nature), Biocybernetics and Biomedical Engineering, Elsevier, Multimedia Tools and Applications, Springer, Journal of Healthcare Engineering, Hindawi, Sleep Oxford University Press, and Neuro Computing, Elsevier. He has worked as Assistant Professor in different colleges in Odisha for 8 Years. He has published his research works in various International Journals and Conferences.. He has Five publications in SCI indexed, peer-reviewed, reputed International Journals and has Thirty One publications in various International Conferences indexed in SCOPUS held in India and abroad. He is also active in reviewing articles from multiple reputed international Journals

Employment

• Pandit Deendayal Energy University Assistant Professor
  2022 - Present
• Pandit Deendayal Energy University School of Technology Assistant Professor
  2022 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (46)

• A Deep Learning Approach to Automated Sleep Stages Classification Using Multi-Modal Signals
  Procedia Computer Science 2023 DOI: 10.1016/j.procs.2023.01.067
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• On Stochastic Modeling of Robustness Parameter for Resilience Communications in Vehicle Platoons
  GLOBECOM 2022 - 2022 IEEE Global Communications Conference 2022 DOI: 10.1109/globecom48099.2022.10001346
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• Machine Learning Model for Automated Sleep Scoring Based on Single-Channel EEG Signal Data
  Proceedings of International Conference on Computational Intelligence and Data Engineering 2022 DOI: 10.1007/978-981-16-7182-1_30
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• Automated Sleep Staging System Based on Ensemble Learning Model Using Single-Channel EEG Signal
  Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021) 2022 DOI: 10.1007/978-3-030-82469-3_17
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• Automated Classification of Sleep Stages Using Single-Channel EEG Signal: A Machine Learning-Based Method
  Communications in Computer and Information Science 2022 DOI: 10.1007/978-3-031-12641-3_20
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• Automated Accurate Sleep Stage Classification System Using Machine Learning Techniques with EEG Signals
  Fuzzy Mathematical Analysis and Advances in Computational Mathematics 2022 DOI: 10.1007/978-981-19-0471-4_11
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• An Improved Decision Support System for Automated Sleep Stages Classification Based on Dual Channels of EEG Signals
  Algorithms for Intelligent Systems 2022 DOI: 10.1007/978-981-16-3368-3_17
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• An Automated Sleep Stages Classification Using BrainEEG Signal: A Machine Learning Approaches
  Advances in Intelligent Systems and Computing 2022 DOI: 10.1007/978-981-16-2674-6_24
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• Accurate Machine Learning-Based Automated Sleep Staging Using Clinical Subjects with Suspected Sleep Disorders
  Lecture Notes in Electrical Engineering 2022 DOI: 10.1007/978-981-16-8774-7_30
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• A Machine Learning Model for Automated Classification of Sleep Stages using Polysomnography Signals
  Advances in Intelligent Systems and Computing 2022 DOI: 10.1007/978-981-16-2594-7_24
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