About Me

Research Interests

Condition monitoring and predictive maintenance of electrical machines for aerospace/wind turbines applications, Integrated vehicle health management (IVHM), Industry 4.0, Energy management, Energy analytics, Non-intrusive load monitoring (NILM), Machine learning Deep learning, and Data Analytics.

Education 

Ph.D  (Condition monitoring and Predictive maintenance),   Amrita Vishwa Vidyapeetham, Coimbatore, India. (May 2012-  February 2019)

• Thesis Title: Scalable fault models for diagnosis of synchronous generators using data driven approach

• Thesis Advisors: Prof. C. Santhosh Kumar and Prof. K. I. Ramachandran

• Thesis Submitted:  5th   May, 2018, Defended: 15th  February, 2019

M.E    (Power Electronics and Drives),  Government College of Technology, Coimbatore,  Anna University, India.    June, 2010

B.E     (Electronics and Communication Engineering),  Adhiparasakthi Engineering College, Melmaruvathur,  Anna University, India.  April,  2008

Work Experience 

Data Scientist,     Ebm-papst, Chennai, India  (March  2022 - Present) 

• Working on predictive maintenance of industrial assets. 

Data Scientist,           Atsuya Technologies Pvt Ltd., Chennai, India  (October  2021 - March 2022) 

• Worked on energy analytics and predictive maintenance of electrical machines. 

Senior Project Associate,   CSIR- Central Scientific Instruments Organisation (CSIO), Chennai, India (September  2020 - September 2021) 

• Worked on developing intelligent systems to monitor the load status and energy consumption in a non-intrusive approach using deep learning algorithms. 

• Conducted field trails of the developed NILM system at different industrial environments. 

Research Consultant,   CSIR- Central Scientific Instruments Organisation (CSIO), Chennai, India (March 2020 - August 2020) 

• Worked on non-intrusive load monitoring techniques for similar loads identification

• Worked on predictive maintenance of wind turbines. 

Research Associate,   CSIR- Central Scientific Instruments Organisation (CSIO), Chennai, India (November 2018 - March 2020) 

• Working on developing intelligent systems to monitor the load status and energy consumption in a non-intrusive approach using machine learning algorithms. The developed algorithms are implemented in hardware development  boards (Lattepanda, Raspberry Pi). 

Senior Research Fellow, Amrita Vishwa Vidyapeetham , Coimbatore, India. (October 2011-October 2013)

• Developed fault diagnosis systems to monitor the condition of the electrical machines using machine learning algorithms. I have explored transfer learning concept to make the fault diagnosis system robust across different machine specifications (ratings/capacity). This project was funded by aeronautical development agency (ADA), Bangalore.

Project Post Graduate Trainee,    CSIR - National Aerospace Laboratories, Bangalore, India (September 2010-September 2011)

• Worked on electromagnetic analysis of meta-material based frequency selective surfaces for the aerospace applications.

International Visits

Visiting Scholar, Ruhr-University Bochum, Germany  18-30th, June 2018

• Invitation to Research Explorer Ruhr, a two-week summer school for excellent early career researchers at Ruhr University Bochum, Germany. Funded by Germany's Excellence Initiative.

• Worked on research proposal titled "Data based approach for diagnosis of electrical and mechanical faults in wind turbines". Host Professors: Dr. Inka Muller, Dr. Volker Staudt, and Dr. Dorothea Kolossa.

Summer Schools 

 TU Dortmund, Germany   31st  August - 4th , September 2020

• Resource-aware Machine Learning - 5th International Summer School 2020 (Virtual mode due to COVID'19).

 Telkom University, Indonesia  3-9th , August 2020

• Current state of the art in machine learning and deep learning - Machine Learning Summer School (MLSS) (Virtual mode due to COVID'19).

Certifications/Courses

• Machinery Fault Diagnosis and Signal Processing by Indian Institute of Technology Kharagpur (NPTEL Online Course)   See credential 

• TensorFlow in Practice by Deeplearning.ai  on Coursera, (Online Course)  See credential 

  • • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning  See credential 

    • Convolutional Neural Networks in TensorFlow  See credential 

    • Sequences, Time Series and Prediction in TensorFlow See credential  

    • Natural Language Processing in TensorFlow  See credential 

• AI for Medical Diagnosis by Deeplearning.ai on Coursera (Online Course) See credential 

• Deep learning fundamentals by IBM (Online Course)  See credential  

• Data Analysis with Python by IBM (Online Course)  See credential 

• Data Visualisation with Python  See credential 

• Intro to SQL by DataCamp (Online Course)  See credential 

• Internet of Things (IoT) by MSME, Government of India (Hands-on Training program)

• C21001: Cities and the Challenge of Sustainable Development by Columbia University (Edx Online Course) See credential 

Invited Talks

Invited Speaker - November 24 & 25, 2016 - National Conference on Digital Signal Processing, Information and Communication Engineering (DSPICE 2016), - Organized by Government Polytechnic College, Kasargod, Kerela -"Applications of Signal Processing".

International Workshops

Invited Participant - Indo-US Workshop on Essential Algorithms for Integrated Vehicle Health Management (IVHM) for Aerospace Applications, held during 23-26, May 2016 at Indian Institute of Science (IISc) Bangalore - Jointly organised by IISc and Villanova University, USA.

Volunteering Activities

• Recognized Reviewer:  Measurement (Elsevier), Expert Systems with Applications (Elsevier), Sustainable Cities and Society (Elsevier), Journal of Cleaner Production (Elsevier), Electric Power Systems Research (Elsevier), Energy Informatics (Springer Nature), Scientific Reports (Nature), IEEE Access, IEEE Transactions on Industrial Electronics, IEEE Transactions on Engineering Management, International Journal of Prognostics and Health Management (IJPHM) PHM Society, Measurement Science and Technology (IOP Science)

• Mentor of Change: Atal Tinkering Labs, Atal Innovation Mission, NITI Aayog, GoI.

• Memberships: IEEE Senior Member

Patents/Publications

Patents: 

R. Gopinath, P. Praveen, D.  Ashwin, and G. Rahul. A System and method for condition monitoring of induction motors using current and vibration signals, 2023. 

Mukesh Kumar, R. Gopinath, C. Prakash Chandra Joshua, Kota Srinivas, G. S. Ayyapan, V. P. Anand. A System and method for Energy management of identical appliances using non-intrusive load monitoring technique, 2020 (Published). Link 

International Journals: 

R. Gopinath, and Mukesh Kumar. DeepEdge-NILM: A case study of non-intrusive load monitoring edge device in commercial building. Energy and Buildings, Elsevier Publications, vol. 294, 2023 (SCI Indexed, Impact factor 7.20).  Link 

Mukesh Kumar, R. Gopinath, P. Harikrishna, and Kota Srinivas. Non-intrusive load monitoring system for similar loads identification using feature mapping and deep learning techniques. Measurement Science and Technology, IOP Science Publications, 2021 (SCI Indexed, Impact factor 2.04).  Link 

 R. Gopinath, Mukesh Kumar, C. Prakash Chandra Joshua and Kota Srinivas. Energy management using non-intrusive load monitoring techniques - State-of-the-art and future research directions. Sustainable Cities and Society, Elsevier Publications, vol. 62, 2020 (SCI Indexed, Impact factor 7.5).  Link 

R. Gopinath, C. Santhosh Kumar, and K. I. Ramachandran, Scalable fault models for diagnosis of synchronous generators using feature mapping and transformation techniques. International Journal of Prognostics and Health Management (IJPHM) Publications, vol. 9, p.11, 2018 (ESCI Indexed, Impact factor 1.5).  Link 

R. Gopinath, C. Santhosh Kumar, and K. I. Ramachandran, Fisher vector encoding for improving the performance of fault diagnosis in synchronous generator. Measurement, Elsevier Publications, vol. 111, pp. 264-270, 2017 (SCI Indexed, Impact factor 3.32) .  Link 

J. Gandhi,  R. Gopinath and C. Santhosh kumar, System independent fault diagnosis for synchronous generator, International Journal of Prognostics and Health Management (IJPHM) Publications, p. 12, 2017 (ESCI Indexed, Impact factor 1.5).   Link 

R. Gopinath, C. Santhosh Kumar, K.I. Ramachandran, V. Upendranath, and P.V.R. Sai Kiran, Intelligent fault diagnosis of synchronous generators, Expert Systems with Applications, Elsevier publications, vol. 45, pp. 142-149, 2016 (SCI Indexed, Impact factor 5.54)  Link 

R. Gopinath, C. Santhosh Kumar, and K. I. Ramachandran, Scalable Fault Models for Diagnosis of Synchronous Generators. International Journal of Intelligent Systems Technologies and Applications, Inderscience Publications, 15(1), 35-51, 2016 (Scopus Indexed, Impact factor 0.52).  Link 

R. Gopinath, C. Santhosh Kumar, K.I. Ramachandran, and K. Vishnuprasad, Feature mapping techniques for improving the performance of fault diagnosis of synchronous generator, International Journal of Prognostics and Health Management (IJPHM) Publications, 6(2), p.12, 2015 (ESCI Indexed, Impact factor 1.5).  Link 

V. Vaijeyanthi, K. Vishnuprasad, C. Santhosh Kumar, K.I. Ramachandran,  R. Gopinath, A. Anand Kumar and P. K Yadav, Towards enhancing the performance of multi-parameter patient monitors, IET Healthcare Technology Letters, vol. 1, pp. 19-20, 2014 (ESCI Indexed, Impact factor 2.53).  Link 

International Conferences 

R. Gopinath. Non-intrusive load monitoring: a promising path to the society for responsible energy utilization and sustainability, 13th ACM International Conference on Future Energy Systems (e-Energy' 22), pp. 594-596. 2022. Link 

R. Gopinath and Mukesh Kumar. Building energy management using non-intrusive load monitoring technique, First Conference on Deployable AI - Explainable AI Edition, June 16 - 18, 2021, Virtual Event, Robert Bosch Centre for Data Science and AI (RBCDSAI), IIT Madras (Abstract/Poster presentation).

R. Gopinath. Non-intrusive load monitoring (NILM) technique using machine learning algorithms: Challenges and its potential applications towards smart sustainable cities development, Energy Data Analytics Symposium: Transforming Energy Systems with Data Science Techniques, December 8-9th, 2020, Virtual Event, Duke University, Durham, North Carolina, USA (Abstract presentation, Featured Lightning talks). Link 

R. Gopinath, Mukesh Kumar, and Kota Srinivas. Feature mapping based deep neural networks for non-intrusive load monitoring of similar appliances in buildings, 7th ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys 2020), November 18-20th, 2020, Virtual Event, Japan. Link 

R. Gopinath, Mukesh Kumar, K. J. Lokesh and Kota Srinivas. Performance analysis of similar appliances identification using NILM technique under different data sampling rates, BuildSys 2020, The 5th International Workshop on Non-Intrusive Load Monitoring (NILM’20), November 18, 2020, Virtual Event, Japan (co-located with ACM BuildSys 2020).  Link 

J. Gandhi, R. Gopinath  and C. Santhosh kumar, Nuisance attribute projection for system independent fault diagnosis for synchronous generator, International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) , pp. 563-568, 2017 (Scopus Indexed).  Link 

Krishna Vinay, P. Piruthvi Chendur, P. P. Abhilash, Reuben Thomas Abraham, R. Gopinath, and C. Santhosh Kumar. Improving the performance of Wavelet based Machine Fault Diagnosis System using Locality Constrained Linear Coding. The International Symposium on Intelligent Systems Technologies and Applications , pp. 951-964, Springer International Publishing, 2016 (Scopus Indexed).  Link 

R. Gopinath, C. Santhosh Kumar, K. I. Ramachandran, and V. Vaijeyenthi, Fine tuning machine fault diagnosis systems towards mission critical applications, International Symposium on Intelligent Systems Technologies and Applications, Advances in Intelligent Systems and Computing Series , pp. 217-226. Springer International Publishing, 2016 (Scopus Indexed).  Link 

K. T. Sreekumar, R. Gopinath, M. Pushparajan, Aparna S Raghunath, C. Santhosh Kumar, K. I. Ramachandran, and M. Saimurugan, Locality Constrained Linear Coding for Fault Diagnosis of Rotating Machines using Vibration Analysis, 12th IEEE India International Conference INDICON'15, New Delhi , pp. 1-6, 2015 (Awarded Best paper of the session) (Scopus Indexed).  Link 

R. Gopinath, T. N. P. Nambiar, S. Abhishek, S. Manoj Pramodh, M. Pushparajan, K. I. Ramachandran, C. Santhosh Kumar, and R. Thirugnanam. Fault injection capable synchronous generator for condition based maintenance., 2013 7th International Conference on Intelligent Systems and Control (ISCO) , pp. 60-64. IEEE, 2013 (Scopus Indexed).  Link 

Shiv Narayan, R. Gopinath, RU Nair, RM Jha, Electromagnetic performance analysis of multi-layered metamaterial frequency selective surfaces, 2011 IEEE Applied Electromagnetics Conference (AEMC) , pp. 1-4, 2011 (Scopus Indexed).  Link