Dr. Devesh Umesh Sarkar

About

Currently working at Indian Institute of Technology, Palakkad (IIT Palakkad) as Post Doctoral (PDF) Researcher. I completed my PhD from Vellore Institute of Technology, Vellore, which holds an NIRF ranking of 19 in India. During my PhD, I published several SCI papers in high-impact journals, including one in the IEEE Transactions on Power Systems. In addition to this, I have published one patent. I have five years of teaching experience in engineering colleges. My research areas include deep neural network based Estimation of power system inertia, power system dynamics and control, power system stability, protection, and reliability, artificial intelligence techniques, and deep neural networks.

Employment

• Indian Institute of Technology Palakkad Post Doctoral Research Fellow
  2024 - 2026
• S B Jain institute of Engineering and Technology Nagpur Assistant Professor
  2024 - 2024
• Vellore Institute of Technology University Teaching Research Assistant (TRA)
  2021 - 2023
• G H Raisoni Institute of Engineering and Technology Assistant Professor
  2017 - 2021

Education

• Vellore Institute of Technology University Doctor of Philosophy (Ph. D)
  2021 - 2024
• G H Raisoni College of Engineering Mater of Technology in Integrated Power System
  2015 - 2017
• Shri Sai College of Engineering and Technology Electrical Engineering
  2009 - 2013

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• Fractional Order PID-PSS Design Using Hybrid Deep Learning Approach for Damping Power System Oscillations
  IEEE Transactions on Power Systems 2025 DOI: 10.1109/TPWRS.2024.3416753
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• Bidirectional long‐short‐term memory‐based fractional power system stabilizer: Design, simulation, and real‐time validation
  International Journal of Numerical Modelling: Electronic Networks, Devices and Fields 2024 DOI: 10.1002/jnm.3300
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• A convolutional neural network framework to design power system stabilizer for damping oscillations in multi-machine power system
  Neural Computing and Applications, Springer Nature 2023 DOI: https://doi.org/10.1007/s00521-023-09323-0
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• Recurrent neural network based design of fractional order power system stabilizer for effective damping of power oscillations in multimachine system
  Engineering Applications of Artificial Intelligence, Elsvier 2023 DOI: 10.1016/j.engappai.2023.106922
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• LSTM based deep neural network model of power system stabilizer for power oscillation damping in multimachine system
  International Journal of Numerical Modelling: Electronic Networks, Devices and Fields 2023 DOI: 10.1002/jnm.3158
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• Observation of TCSU: Travel Cold Storage Unit Operated by SPV Technology
  Intelligent and Soft Computing Systems for Green Energy 2023 DOI: 10.1002/9781394167524.ch25
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• A Neural Network Approach to Design Power System Stabilizer for Damping Power Oscillations
  2022 22nd National Power Systems Conference (NPSC) 2023 DOI: 10.1109/npsc57038.2022.10070020
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• A Novel Design of Power System Stabilizer via GWO-tuned Radial-basis Function Neural Network for Damping Power Oscillations
  2022 IEEE 10th Power India International Conference (PIICON) 2023 DOI: 10.1109/piicon56320.2022.10045259
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• A Recent Review on Approaches to Design Power System Stabilizers: Status, Challenges and Future Scope
  IEEE Access 2023 DOI: 10.1109/ACCESS.2023.3244687
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• Solar Power Plant at Shradha Park and Optimal Solution to Improve the Advancement in Technology—A Case Study
  Smart Technologies for Energy, Environment and Sustainable Development 2019 DOI: 10.1007/978-981-13-6148-7_1
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