Mrutyunjaya Sahani

About

Mrutyunjaya Sahani received the B.Tech. degree in electrical engineering from the Biju Patnaik University of Technology, Rourkela, India, in 2007, the M.Tech. degree in embedded system technology from the SRM University, Chennai, India, in 2010, and the Ph.D. degree in electronics and communication engineering from Siksha ‘O’ Anusandhan University, Bhubaneswar, India, in 2019. He is currently working as Postdoctoral research fellow at National University of Singapore, Singapore.
His current research interests include power quality analysis, power system, signal analysis, micro and smart grid, renewable energy integration, energy management, artificial intelligence, and embedded system design.

Employment

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Education

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Projects & Funding

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Publications (31)

• Startup Strategy-Based Integral Backstepping Sliding Mode Control for MMC-UPQC With PV
  IEEE Transactions on Industrial Electronics 2026 DOI: 10.1109/TIE.2026.3718130
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• Robust broad learning system with parametrized variational mode decomposition for schizophrenia diagnosis
  Sebamai Parija, Mrutyunjaya Sahani, Susanta Kumar Rout
  Engineering Applications of Artificial Intelligence 2025 DOI: 10.1016/j.engappai.2025.111294
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• Fault-Tolerant Analysis-Based Performance Assessment of Single-Phase Multilevel Inverter Topologies With Reduced Switch Count
  IEEE Journal of Emerging and Selected Topics in Power Electronics 2025 DOI: 10.1109/JESTPE.2024.3481666
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• Epileptic Seizure Recognition Using Improved Modes Decomposition and Online Sequential Autoencoder Multi-Kernel Broad Learning System
  Bhanja Kishor Swain, Susanta Kumar Rout, Mrutyunjaya Sahani +2 more
  IEEE Sensors Journal 2025 DOI: 10.1109/JSEN.2025.3532456
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• Machine Learning-Aided Sparse Direction of Arrival Estimation
  Priyadarshini Raiguru, Susanta Kumar Rout, Mrutyunjaya Sahani +1 more
  IEEE Sensors Journal 2024 DOI: 10.1109/JSEN.2024.3453996
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• Precise single step and multistep short-term photovoltaic parameters forecasting based on reduced deep convolutional stack autoencoder and minimum variance multikernel random vector functional network
  Engineering Applications of Artificial Intelligence 2024 DOI: 10.1016/j.engappai.2024.108935
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• RDCSAE-RKRVFLN: A unified deep learning framework for robust and accurate DOA estimation
  Applied Soft Computing 2024 DOI: 10.1016/j.asoc.2024.111791
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• An Adaptive Integral Backstepping SMC and Robust Functional Expanded Multikernel BLS Based MPPT Control in PV-Battery DC Microgrid System
  IEEE Transactions on Power Electronics 2024 DOI: 10.1109/TPEL.2023.3332641
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• FPGA-Based Semisupervised Multifusion RDCNN of Process Robust VMD Data With Online Kernel RVFLN for Power Quality Events Recognition
  IEEE Transactions on Neural Networks and Learning Systems 2022 DOI: 10.1109/TNNLS.2020.3027984
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• Epileptic Seizure Recognition Using Reduced Deep Convolutional Stack Autoencoder and Improved Kernel RVFLN From EEG Signals
  IEEE Transactions on Biomedical Circuits and Systems 2021 DOI: 10.1109/TBCAS.2021.3090995
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• Multifuse multilayer multikernel RVFLN+ of process modes decomposition and approximate entropy data from iEEG/sEEG signals for epileptic seizure recognition
  Susanta Kumar Rout, Mrutyunjaya Sahani, P.K. Dash +1 more
  Computers in Biology and Medicine 2021 DOI: 10.1016/j.compbiomed.2021.104299
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• FPGA-Based Deep Convolutional Neural Network of Process Adaptive VMD Data With Online Sequential RVFLN for Power Quality Events Recognition
  IEEE Transactions on Power Electronics 2021 DOI: 10.1109/TPEL.2020.3023770
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• Deep Convolutional Stack Autoencoder of Process Adaptive VMD Data With Robust Multikernel RVFLN for Power Quality Events Recognition
  IEEE Transactions on Instrumentation and Measurement 2021 DOI: 10.1109/TIM.2021.3054673
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• Automatic Power Quality Events Recognition Using Modes Decomposition Based Online P-Norm Adaptive Extreme Learning Machine
  IEEE Transactions on Industrial Informatics 2020 DOI: 10.1109/TII.2019.2945822
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• FPGA-Based Online Power Quality Disturbances Monitoring Using Reduced-Sample HHT and Class-Specific Weighted RVFLN
  IEEE Transactions on Industrial Informatics 2019 DOI: 10.1109/TII.2019.2892873
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• Automatic Power Quality Events Recognition Based on Hilbert Huang Transform and Weighted Bidirectional Extreme Learning Machine
  IEEE Transactions on Industrial Informatics 2018 DOI: 10.1109/TII.2018.2803042
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• Variational mode decomposition and weighted online sequential extreme learning machine for power quality event patterns recognition
  Neurocomputing 2018 DOI: 10.1016/j.neucom.2018.03.056
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• An islanding detection algorithm for distributed generation based on Hilbert–Huang transform and extreme learning machine
  Manohar Mishra, Mrutyunjaya Sahani, Pravat Kumar Rout
  Sustainable Energy, Grids and Networks 2017 DOI: 10.1016/j.segan.2016.11.002
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• An islanding detection method based on wavelet packet transform and extreme learning machine
  International Journal of Renewable Energy Research 2016
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• Design of face recognition based embedded home security system
  Mrutyunjaya Sahani, Subhashree Subudhi, Mihir Narayan Mohanty
  KSII Transactions on Internet and Information Systems 2016 DOI: 10.3837/tiis.2016.04.016
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