Published on by Young Scientists Awards

Dr. Shakti Prasad Sethi | Instrumentation| Young Scientist Award

University of Liverpool India | India

Dr. Shakti Prasad Sethi is an Assistant Professor at the School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore, India, and an Honorary Research Fellow at the Department of Physics, University of Liverpool, U.K. He specializes in signal processing, instrumentation, and machine learning, with extensive experience in plasma diagnostics, beam instrumentation, and data-driven modeling. His research focuses on monitoring and fault diagnosis of transferred arc plasma using advanced signal processing and deep learning techniques, implementing optical emission spectroscopy for plasma characterization, and developing AI-based solutions for high-intensity particle beams. He completed his PhD at the Academy of Scientific and Innovative Research (AcSIR), with laboratory work at CSIR-Institute of Minerals and Materials Technology, Bhubaneswar, India, and holds a master’s degree in Communication System Engineering and a bachelor’s in Electronics and Communication Engineering. Shakti has held positions as Postdoctoral Research Associate at the University of Liverpool, Assistant Professor at Chandigarh University, and CSIR research fellow, contributing to projects involving machine learning for sensor failure accommodation, plasma parameter monitoring, and classification of operating conditions. He has authored multiple publications in international journals including IEEE Transactions on Plasma Science, Review of Scientific Instruments, and preprints in Vacuum, and has presented at international conferences and workshops. Skilled in Python, MATLAB, SQL, LabVIEW, COMSOL, and CST Microwave Studio, he also has experience in cloud platforms and data acquisition systems. Shakti is a reviewer for reputed journals, a STEM ambassador, and a life member of the Plasma Science Society of India and the Power Beam Society of India. His professional endeavors bridge theoretical research with practical instrumentation solutions, advancing AI-driven diagnostics and monitoring in plasma science and beam instrumentation. Outside academia, he enjoys playing cricket, cycling, cooking, and music, and has collaborated with institutions including CERN and the University of Liverpool.

Featured Publications

  • Sethi, S. P., Das, D. P., & Behera, S. K. (2023). Cathode position detection in a transferred arc plasma using artificial neural network. IEEE Transactions on Plasma Science.

  • Sethi, S. P., Das, D. P., Behera, S. K., & Ray, N. (2023). Instability and fault analysis of arc plasma using advanced signal processing methods. Review of Scientific Instruments.

  • Sethi, S. P., Das, D. P., & Behera, S. K. (2023). Monitoring of arc plasma process parameter using CNN-based deep learning algorithm to accommodate sensor failure. IEEE Transactions on Plasma Science.

  • Singh, A. P., Rahi, P., & Sethi, S. P. (2023). Cell counting based on image processing for the detection of cancer clumps. In 2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS).

 

Shakti Prasad Sethi | Instrumenation | Young Scientist Award

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