Sandeep Satapathy

Employment

• Yonsei University Post Doctoral Fellow
  2023 - Present
• VIT University - Chennai Campus
  2020 - Present
• KL University
  2019 - 2020
• Vignana Bharathi Institute of Technology Associate Professor
  2017 - 2019
• Siksha O Anusandhan University Institute of Technical Education and Research Assistant Professor
  2008 - 2017
• Gandhi Institute For Technological Advancement Lecturer
  2007 - 2008

Education

• Siksha O Anusandhan University Ph.D.
  2012 - 2017
• Biju Patnaik University of Technology M.Tech
  2006 - 2008
• Orissa Engineering College B.E.
  2002 - 2006

Projects & Funding

Projects & funding information is unavailable.

Publications (22)

• Enhancing Road Safety and Cybersecurity in Traffic Management Systems: Leveraging the Potential of Reinforcement Learning
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3350271
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• ADASYN and ABC-optimized RBF convergence network for classification of electroencephalograph signal
  Personal and Ubiquitous Computing 2023 DOI: 10.1007/s00779-021-01533-4
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• A Comparative Analysis of Multidimensional COVID-19 Poverty Determinants: An Observational Machine Learning Approach
  New Generation Computing 2023 DOI: 10.1007/s00354-023-00203-8
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• A DM-ELM based classifier for EEG brain signal classification for epileptic seizure detection
  Communicative and Integrative Biology 2023 DOI: 10.1080/19420889.2022.2153648
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• Optimal Ambulance Positioning for Road Accidents With Deep Embedded Clustering
  IEEE Access 2023 DOI: 10.1109/ACCESS.2023.3284993
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• Analyzing MRI scans to detect glioblastoma tumor using hybrid deep belief networks
  Journal of Big Data 2020 DOI: 10.1186/s40537-020-00311-y
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• SMOTE and ABC optimised RBF network for coping with imbalanced class in EEG signal classification
  International Journal of Medical Engineering and Informatics 2018 DOI: 10.1504/IJMEI.2018.093350
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• ABC optimized RBF network for classification of EEG signal for epileptic seizure identification
  Egyptian Informatics Journal 2017 DOI: 10.1016/j.eij.2016.05.001
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• EEG signal classification using PSO trained RBF neural network for epilepsy identification
  Informatics in Medicine Unlocked 2017 DOI: 10.1016/j.imu.2016.12.001
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• Weighted majority voting based ensemble of classifiers using different machine learning techniques for classification of EEG signal to detect epileptic seizure
  Informatica (Slovenia) 2017
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