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Dr. Shakti Prasad Sethi

Assistant Professor, School of Artificial Intelligence, Coimbatore

Qualification: Ph.D
s_shaktiprasad@cb.amrita.edu
Research Interest: Signal Processing, Intelligent systems, non-invasive sensing techniques, Machine Learning

Bio Publications Qualifications Positions  Courses taught Recognition Reviewers Conferences
Bio

Dr. Shakti Prasad Sethi is currently working as an Assistant Professor in the School of Artificial Intelligence at Amrita Vishwa Vidyapeetham, Coimbatore.

Publications

Conference Proceedings

Year : 2023

Cell Counting Based on Image Processing for the Detection of Cancer Clumps

Cite this Research Publication : Ajay Pal Singh, Pravez Rahi, Shakti Prasad Sethi, Cell Counting Based on Image Processing for the Detection of Cancer Clumps, 2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), IEEE, 2023, https://doi.org/10.1109/icccis60361.2023.10425279

Publisher : IEEE

Journal Article

Year : 2023

Instability And Fault Analysis Of Arc Plasma Using Advanced Signal Processing Methods

Cite this Research Publication : Shakti Prasad Sethi, Debi Prasad Das, Santosh Kumar Behera, Nigamananda Ray, Instability and fault analysis of arc plasma using advanced signal processing methods, Review of Scientific Instruments, AIP Publishing, 2023, https://doi.org/10.1063/5.0161187

Publisher : AIP Publishing

Year : 2023

Monitoring of Arc Plasma Process Parameter Using CNN-Based Deep Learning Algorithm to Accommodate Sensor Failure

Cite this Research Publication : Shakti Prasad Sethi, Debi Prasad Das, Santosh Kumar Behera, Monitoring of Arc Plasma Process Parameter Using CNN-Based Deep Learning Algorithm to Accommodate Sensor Failure, IEEE Transactions on Plasma Science, Institute of Electrical and Electronics Engineers (IEEE), 2023, https://doi.org/10.1109/tps.2023.3274788

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2023

Cathode Position Detection in a Transferred Arc Plasma Using Artificial Neural Network

Cite this Research Publication : Shakti Prasad Sethi, Debi Prasad Das, Santosh Kumar Behera, Cathode Position Detection in a Transferred Arc Plasma Using Artificial Neural Network, IEEE Transactions on Plasma Science, Institute of Electrical and Electronics Engineers (IEEE), 2023, https://doi.org/10.1109/tps.2022.3229199

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Qualifications

Post-doctoral Experience 

Post-doctoral Scholar: University of Liverpool, Liverpool, U.K. (April 2024-May 2025)

PhD : 2018-2023
Specialisation: Signal Processing, Instrumentation and Machine Learning
Thesis title:  Development of Monitoring and Fault Diagnosis Techniques for Plasma Process

M.Tech : 2015-2017 |
Specialisation: Communication System Engineering
Thesis title: Some perturbation studies of elliptical and hyperbolic patch antennas

Positions 

Current Positions :

  • Assistant Professor, School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore, India (June 2025-Continue)
  • Honorary Research Fellow, University of Liverpool, U.K. (June 2025-Continue)

Past Positions 

  • Assistant Professor, Department of Electronics and Communication Engineering, Chandigarh University, Mohali, Punjab, India  (July 2023-March 2024)
  • Post-doctoral Research Associate, University of Liverpool, U.K. (April 2024-May 2025)
Courses taught
  • Optical Quantum
  • Foundation of Wireless Communication
Recognition
  • MHRD GATE fellowship for Master’s study (2015-2017)
  • CSIR-NET-JRF for Doctoral study (2018-2023)

Membership

  • Life Member of Power Beam Society of India (LM-104)
Reviewers
  • Reviewer, Journal of Autonomous Intelligence.
  • Reviewer, Scientific Reports, Springer Nature.
Conferences

International/National Conferences (Peer-reviewed)

  • H. Zhang, W. Butcher, N. Kumar, F. Mada-Parambil, M. Patel, O. Sedlacek, S. P. Sethi, O. Stringer, C. Welsch, “Halo monitor for high-intensity hadron beams based on supersonic gas curtain,” Proc. 13th International Beam Instrumentation Conference, Beijing, issue WEP23, pp. 299-302, 2024
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