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Dr. Ambika P.S.

Assistant Professor, School of Artificial Intelligence, Coimbatore

Qualification: Ph.D
ps_ambika@cb.amrita.edu
Research Interest: Machine Condition Monitoring, Remaining useful life prediction, Noise and vibration, Signal Processing, Machine Learning.

Bio Publications Positions Professional Experience Teaching 
Bio

Dr. Ambika P S. currently serves as Assistant Professor, School of Artificial Intelligence,  Amrita Vishwa Vidyapeetham, Coimbatore Campus.

Ambika P S finished her B. Tech degree in Applied Electronics and Instrumentation Engineering from The Rajagiri School of Engineering and Technology, Kakkanad, Kochi. She obtained her master’s from Amrita Vishwa Vidyapeetham in Computational Engineering and Networking.

Ambika P S acquired her Ph. D in Mechanical Engineering from The National Institute of Technology Calicut under the valuable guidance of Dr. P K Rajendrakumar (Ph.D from IISc Bangalore) and Dr. Rijil Ramchand (Ph.D from IISc Bangalore). Her research area was Rolling Element Bearing fault diagnosis and Remaining Useful Life Prediction based on Artificial Intelligence.

Qualifications

  • PhD (2021)
           Specialization: Mechanical Engineering
           Thesis title: Remaining useful life prediction of rolling element bearings using Artificial Intelligence
  • M.Tech (2014)
           Specialization: Data Science
          Thesis title: Rolling element bearing condition monitoring
  • B.Tech (2011)
            Discipline: Applied Electronics and Instrumentation Engineering
            Thesis title: Remote Patient Health Monitoring System
Publications

Journal Article

Year : 2019

Mode determination in variational mode decomposition and its application in fault diagnosis of rolling element bearings.

Cite this Research Publication : Ambika, P. S., Rajendrakumar, P. K., & Rijil Ramchand " Mode determination in variational mode decomposition and its application in fault diagnosis of rolling element bearings", (Vol., Issue, Page No.) : Springer Nature Applied Sciences, 1(9), 1020.

Publisher : Springer Link

Year : 2019

Vibration signal based condition monitoring of mechanical equipment with scattering transform

Cite this Research Publication : Ambika, P. S., Rajendrakumar, P. K., & Rijil Ramchand , " Vibration signal based condition monitoring of mechanical equipment with scattering transform ", Journal of Mechanical Science and Technology, Springer, 33(7), 3095-3103.

Publisher : Springer Link

Conference Proceedings

Year : 2019

An approach to rolling bearing fault diagnosis using fractal descriptors and regularized least squares

Cite this Research Publication : Ambika, P. S., Rajendrakumar, P. K., & Rijil Ramchand, " An approach to rolling bearing fault diagnosis using fractal descriptors and regularized least squares ",Second International Conference on Advanced Computational and Communication Paradigms (ICACCP-2019), ICACCP Track-I: Advanced Computational Paradigms, Feb 25-28, 2019, SMIT, Sikkim.

Publisher : IEEE

Positions

Current Positions 

  1. Assistant Professor, Centre for Excellence in Computational Engineering, School of Aritificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore Campus, 2022
Professional Experience
  • Assistant Professor, Department of Artificial Intelligence, School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore. (February 2022-till date)
  • Research Scholar, Department of Mechanical Engineering, National Institute of Technology Calicut. (August 2014 – July 2021)
Teaching 

(A) Courses taught 

  • Principles of Measurement and Sensors, 2022- 2023, First year UG
  • Discrete Mathematics, 2022-2023, 2023-2024, First year UG
  • Introduction to Electrical and Electronics Engineering, 2022-2023, 2023-2024, First year UG

(B)  Doctoral Guidance

  • Ms. Saranya Das S (CB.AI.R4CEN23010) – Thesis Advisor
  • Ms. Suchithra K P (CB.EN.R4CEN22003) – DC Member
  • Sreenivas Naidu Karnam (CB.EN.R4MEE22008) – DC Member
  • Krishnaveni V S (CB.AI.R4CEN23014) – DC Member
  • Ms. Sreevidya C (CB.EN. D*ECE21012) – DC Member
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