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Dr. Rahul Satheesh

Assistant Professor, School of Artificial Intelligence, Center for Computational Engineering and Networking (CEN), Amrita Vishwa Vidyapeetham, Coimbatore

Qualification: Ph.D
s_rahul1@cb.amrita.edu
ORCID ID
Google Scholar Profile
Scopus Author ID
Research Interest: Computational Intelligence Applications in Power Systems, Electric Vehicle Technology, Wide Area Monitoring Systems, Renewable Energy, Signal Processing and Data Driven Algorithms, Smartgrid
Nature of Association: Regular

Bio Publications Qualification Experiences Teaching Conferences/ Workshops/ Webinars Miscellaneous
Bio

Dr. Rahul Satheesh completed his B.Tech. in Electrical and Electronics Engineering from the University of Kerala, India, in 2012, followed by an M.E. in Power Systems from Anna University, Chennai, India, in 2014. He then earned his Ph.D. in Power Systems from the Department of Electrical Engineering at the National Institute of Technology Calicut, Kerala, India. Following his doctoral studies, Dr. Rahul served as a senior engineer at Bosch Global Software Technologies, where he specialized in electrification and system engineering topics in Electric Vehicles (EVs). Currently, Dr. Rahul holds the position of Assistant Professor at the Amrita School of AI, Amrita Vishwa Vidyapeetham, Coimbatore.

His research interests span computational and data-driven algorithms, wide-area monitoring systems, power oscillation studies, power grid resilience, smart grids, Electric Vehicle Technology, and AI applications in power systems. Actively engaged in professional circles, he is a member of the IEEE and CIGRE. Recognized for his contributions, Dr. Rahul has received prestigious awards, including the 2019 Young Innovator Award from the Kerala State Government, the 2022 Outstanding Engineer Award from IEEE PES HQ, and the 2023 Outstanding Chapter Volunteer Award from IEEE Kerala Section. His academic contributions are evidenced through numerous research articles published in various journals and his participation in several conferences.

Publications

Conference Paper

Year : 2025

Statistical Load Forecasting in Power Systems: A Comparative Study of SARIMA and Prophet Models

Cite this Research Publication : Naren Sundar L, Sreeja Gurivisetty, Rahul Satheesh, Statistical Load Forecasting in Power Systems: A Comparative Study of SARIMA and Prophet Models, 2025 First International Conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies (CE2CT), IEEE, 2025, https://doi.org/10.1109/ce2ct64011.2025.10941664

Publisher : IEEE

Year : 2025

State of Health Estimation of Lithium-ion Batteries Using Deep Learning Techniques

Cite this Research Publication : V Harshvardhan, A Rishi Raajha, R S Naveen Sankar, Tanguturi Vinay Krishna Chetty, M Malathi, Rahul Satheesh, State of Health Estimation of Lithium-ion Batteries Using Deep Learning Techniques, 2025 Fourth International Conference on Power, Control and Computing Technologies (ICPC2T), IEEE, 2025, https://doi.org/10.1109/icpc2t63847.2025.10958699

Publisher : IEEE

Year : 2025

Advanced Approach for Short-Term Load Forecasting using Dynamic Mode Decomposition with Control

Cite this Research Publication : Sudarsan R Mohan, Akash S, Rahul Satheesh, Advanced Approach for Short-Term Load Forecasting using Dynamic Mode Decomposition with Control, 2025 Emerging Technologies for Intelligent Systems (ETIS), IEEE, 2025, https://doi.org/10.1109/etis64005.2025.10961043

Publisher : IEEE

Year : 2025

Enhanced Time-Frequency Analysis of Power Quality Disturbances Using Fourier Synchro-Squeezing Transform

Cite this Research Publication : Varshitha Thilak Kumar, Siri Sanjana S, Shreya Arun, Anagha Menon, Sreshtamol K G, Rahul Satheesh, Enhanced Time-Frequency Analysis of Power Quality Disturbances Using Fourier Synchro-Squeezing Transform, 2025 Emerging Technologies for Intelligent Systems (ETIS), IEEE, 2025, https://doi.org/10.1109/etis64005.2025.10961578

Publisher : IEEE

Year : 2025

Deep Learning-Based Load Forecasting in Smart Grid

Cite this Research Publication : Meghaa E, Niranjan R, Rahul Satheesh, Deep Learning-Based Load Forecasting in Smart Grid, 2025 Emerging Technologies for Intelligent Systems (ETIS), IEEE, 2025, https://doi.org/10.1109/etis64005.2025.10961160

Publisher : IEEE

Year : 2025

Statistical Load Forecasting in Power Systems: A Comparative Study of SARIMA and Prophet Models

Cite this Research Publication : Naren Sundar L, Sreeja Gurivisetty, Rahul Satheesh, Statistical Load Forecasting in Power Systems: A Comparative Study of SARIMA and Prophet Models, 2025 First International Conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies (CE2CT), IEEE, 2025, https://doi.org/10.1109/ce2ct64011.2025.10941664

Publisher : IEEE

Year : 2024

Advanced Anomaly Detection in Batteries Using Deep Learning Methods

Cite this Research Publication : Ananth Patnaik S, Navaneeth P G, Rahul Satheesh, Advanced Anomaly Detection in Batteries Using Deep Learning Methods, 2024 IEEE 21st India Council International Conference (INDICON), IEEE, 2024, https://doi.org/10.1109/indicon63790.2024.10958290

Publisher : IEEE

Year : 2024

Classification of Power Quality Disturbances Using Machine Learning Methods

Cite this Research Publication : Salla Shivesh, Sai Ved V, Nihal Reddy K V, Rahul Chowdhary I, Sreshtamol K G, Rahul Satheesh, Classification of Power Quality Disturbances Using Machine Learning Methods, 2024 IEEE 1st International Conference on Green Industrial Electronics and Sustainable Technologies (GIEST), IEEE, 2024, https://doi.org/10.1109/giest62955.2024.10959739

Publisher : IEEE

Year : 2024

Fault Detection in Photovoltaic System Using Machine Learning Techniques and ANN

Cite this Research Publication : Megha R, Uma Lakshmi V, Rahul Satheesh, Fault Detection in Photovoltaic System Using Machine Learning Techniques and ANN, 2024 IEEE 1st International Conference on Green Industrial Electronics and Sustainable Technologies (GIEST), IEEE, 2024, https://doi.org/10.1109/giest62955.2024.10959985

Publisher : IEEE

Year : 2024

Enhanced Solar Power Forecasting with CNNs Using Sky Imagery and Cloud Detection

Cite this Research Publication : Karthika S S, Surya K, Rahul Satheesh, Enhanced Solar Power Forecasting with CNNs Using Sky Imagery and Cloud Detection, 2024 11th International Conference on Advances in Computing and Communications (ICACC), IEEE, 2024, https://doi.org/10.1109/icacc63692.2024.10845330

Publisher : IEEE

Conference Proceedings

Year : 2024

Impact of Activation Functions in Deep Learning Based State of Charge Estimation for Batteries

Cite this Research Publication : P. P. Kumar, R. Satheesh and H. H. Alhelou, "Impact of Activation Functions in Deep Learning Based State of Charge Estimation for Batteries," 2024 IEEE 4th International Conference on Sustainable Energy and Future Electric Transportation (SEFET), Hyderabad, India, 2024, pp. 1-6, doi: 10.1109/SEFET61574.2024.10718061.

Publisher : IEEE

Year : 2023

Analyzing dominant oscillatory modes in power system using unidirectional and bidirectional LSTM Techniques

Cite this Research Publication : R. Satheesh, P. Patel, A. V. M and S. Rajan, "Analyzing dominant oscillatory modes in power system using unidirectional and bidirectional LSTM Techniques," 2023 IEEE PES 15th Asia-Pacific Power and Energy Engineering Conference (APPEEC), Chiang Mai, Thailand, 2023, pp. 1-6, doi: 10.1109/APPEEC57400.2023.10561940.

Publisher : IEEE

Year : 2022

Identification of dominant modes in power system using unsupervised learning approaches

Cite this Research Publication : Parthkumar Patel, Rahul S, Sunitha R, Identification of dominant modes in power system using unsupervised learning approaches, ICONAT 2022: International Conference for Advancement in Technology at Goa organized by IEEE Bombay section.

Publisher : IEEE

Year : 2021

Prediction of Electromechanical Oscillatory Parameters in Power Systems Using ANN

Cite this Research Publication : Nashida C, Rahul S and Sunitha R, Prediction of Electromechanical Oscillatory Parameters in Power Systems Using ANN, 2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies, 2021, pp. 1-5.

Year : 2021

Oscillation Mode Assessment in Power System Using Multivariate Variational Mode Decomposition

Cite this Research Publication : S. Rahul, R. Sunitha and V. M. Akhil, "Oscillation Mode Assessment in Power System Using Multivariate Variational Mode Decomposition," IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society, 2021, pp. 1-6, doi: 10.1109/IECON48115.2021.9589384.

Year : 2019

Nonlinear Nonstationary Analysis Techniques for Mode Shape Estimation in Power Systems

Cite this Research Publication : Rahul S and Sunitha R, Nonlinear Nonstationary Analysis Techniques for Mode Shape Estimation in Power Systems, 2019 Innovations in Power and Advanced Computing Technologies (i-PACT), 2019, pp. 1-6.

Publisher : IEEE

Year : 2015

Assessment of Six Phase Synchronous Generator Using Fuzzy Controller

Cite this Research Publication : N Rathika, A Senthil Kumar, Rahul S, Assessment of Six Phase Synchronous Generator Using Fuzzy Controller, in Power Electronics and Renewable Energy Systems, pp. 903-912, Springer Lecture Notes in Electrical Engineering.

Year : 2014

Analysis and control of multiphase synchronous generator for renewable energy generation

Cite this Research Publication : N. Rathika, A. Senthil Kumar, P. Sivakumar and Rahul S, Analysis and control of multiphase synchronous generator for renewable energy generation,2014 International Conference on Advances in Electrical Engineering (ICAEE), 2014, pp. 1-6.

Publisher : IEEE

Journal Article

Year : 2024

A Comprehensive Approach to Wind Power Forecasting Using Advanced Hybrid Neural Networks

Cite this Research Publication : E. P. Vishnutheerth, V. Vijay, R. Satheesh and M. L. Kolhe, "A Comprehensive Approach to Wind Power Forecasting Using Advanced Hybrid Neural Networks," in IEEE Access, vol. 12, pp. 124790-124800, 2024, doi: 10.1109/ACCESS.2024.3450096.

Publisher : IEEE Access

Year : 2024

Data-Driven Energy Management of an Electric Vehicle Charging Station Using Deep Reinforcement Learning

Cite this Research Publication : Dr. Rahul Satheesh (G. S. Asha Rani, P. S. Lal Priya, J. Jayan, R. Satheesh and M. L. Kolhe, "Data-Driven Energy Management of an Electric Vehicle Charging Station Using Deep Reinforcement Learning," in IEEE Access, vol. 12, pp. 65956-65966, 2024, doi: 10.1109/ACCESS.2024.3398059)

Year : 2023

Lower Limb EMG Signal Analysis Using Scattering Transform and Support Vector Machine for Various Walking Conditions

Cite this Research Publication : V. M. Akhil, R. Satheesh, M. Ashmi and C. D. Tawk, "Lower Limb EMG Signal Analysis Using Scattering Transform and Support Vector Machine for Various Walking Conditions," in IEEE Access, vol. 11, pp. 129566-129575, 2023, doi: 10.1109/ACCESS.2023.3332664.

Publisher : IEEE

Year : 2023

Ambient oscillatory mode assessment in power system using an advanced signal processing method

Cite this Research Publication : Rahul Satheesh, Sunitha Rajan, "Ambient oscillatory mode assessment in power system using an advanced signal processing method", ISA Transactions, 2023, ISSN 0019-0578, https://doi.org/10.1016/j.isatra.2023.08.012.

Year : 2022

Assessment of mode shape in power system using TVF-EMD and spectral analysis

Cite this Research Publication : Rahul S, Sunitha R, Assessment of mode shape in power system using TVF-EMD and spectral analysis, Electric Power Components & Systems Journal, Taylor and Francis , June 2022, DOI: 10.1080/15325008.2022.2136297

Year : 2022

Estimation of mode shape in power systems under ambient conditions using advanced signal processing approach

Cite this Research Publication : Rahul S, Sunitha R, Estimation of mode shape in power systems under ambient conditions using advanced signal processing approach, Turkish Journal of Electrical Engineering and Computer science, vol.30, no.4, pp.1460-1474, 2022.

Year : 2022

Identification of oscillatory modes in power system using deep learning approach

Cite this Research Publication : Rahul S, Nashida C, Sunitha R, Manu Madhavan, and Hassan Haes Alhelou, Identification of oscillatory modes in power system using deep learning approach, IEEE Access, vol. 10, pp. 16556-16565, 2022.

Publisher : IEEE

Year : 2021

Dominant Electromechanical Oscillation Mode Identification using Modified Variational Mode Decomposition

Cite this Research Publication : Rahul S and Sunitha R, Dominant Electromechanical Oscillation Mode Identification using Modified Variational Mode Decomposition, Arabian Journal for Science and Engineering, Springer, 46(10), pp. 10007-10021,2021.

Book Chapter

Year : 2021

Smart grid-based big data analytics using machine learning and artificial intelligence: a survey

Cite this Research Publication : Subin Koshy, Rahul S, Sunitha R and Elizabeth P Cheriyan,” Smart grid-based big data analytics using machine learning and artificial intelligence: a survey”, In Artificial Intelligence and Internet of Things for Renewable Energy Systems, De Gruyter,2021.

Year : 2020

Electromechanical Mode Estimation in Power System Using a Novel Nonstationary Approach

Cite this Research Publication : Rahul S, Subin Koshy and Sunitha R,” Electromechanical Mode Estimation in Power System Using a Novel Nonstationary Approach", In Wide Area Power Systems Stability, Protection, and Security, Springer,2020

Qualification

Ph. D. (Year) : 2017- 2022

Specialization: Electrical Engineering
Thesis title: Assessment of dominant oscillatory modes in power systems using advanced signal processing and artificial intelligence approaches

M. Tech. (Year) : 2012-2014

Specialization: Power systems
Thesis title: Modelling and controlling of multiphase synchronous machines

Experiences

Industry Experience

  • Senior Engineer, BOSCH Global Software Technologies PVT Limited (Aug 2022- June 2023)

Teaching Experience

  • Assistant Professor, Amrita School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore, India (Since 2023 June – Till now)
  • Assistant Professor, Vidya Academy of Science and Technology, Trivandrum ( 2015-2017)
  • Assistant Professor, College of Engineering Kidangoor (2014-15)

Current Positions

  • Faculty Advisor for BTech Artificial Intelligence (Data Science ) 2023-27 Batch
  • Webmaster for Amrita School of Artificial Intelligence, Coimbatore
  • Treasurer:  IEEE PES Kerala Chapter

Past Positions

  • Coordinator for Educational activities IEEE PES Kerala Chapter (2023)
  • Subcommittee Coordinator for Industry and Entrepreneurship engagement for IEEE PES YP (2023)
  • Secretary IEEE PES SBC National Institute of Technology Calicut (2022)
  • Membership Development Coordinator for IEEE PES Kerala chapter Malabar hub (2022)
Teaching

Courses Taught

  • Introduction to Electrical Engineering (B. Tech. AID 2023-27, Semester 1)
  • Introduction to Electrical and Electronics Engineering (B. Tech. AIE 2023-27, Semester 2)
  • AI applications in power systems (M. Tech. Data Science, Semester 3)
  • Introduction to Electrical Engineering (B. Tech. AID 2024-28, Semester 1)

Doctoral Advisor

  • Sreshtamol K. G. (Roll. No. CB.AI.R4CEN23020)
Conferences/ Workshops/ Webinars

GIAN/ Workshops/ Short-term Training Programs Attended

  1. AICTE Training and Learning (ATAL) Academy Online Elementary FDP on “AI applications in Biomedical Engineering” from 02/08/2021 to 06/08/2021 at National Institute of Technology Calicut.
  2. AICTE Training and Learning (ATAL) Academy Online FDP on “Power System Reliability” from 26/10/2020 to 30/10/2020 at National Institute of Technology Delhi.
  3. AICTE Training and Learning (ATAL) Academy Online FDP on “Artificial Intelligence in power systems” from 09/11/2020 to 13/11/2020 at National Institute of Technology Calicut.
  4. “Power Engineering Research and Applications: A workshop on future perspective of microgrid” from 24th to 28th September 2021 at IIT Kanpur.
  5. National level workshop on “Hands-on training on LATEX Documentation tool” from 24th 25th
  6. September 2021 at Sree chitra thirunal college of engineering Trivandrum. FDP on “Smart grid monitoring and stability: a microgrid perspective” from 24th to 28th July 2021 at College of Engineering Vadakara.
  7. Webinar on “FPGA controller for Electrical Engineering: WAVECT”, 19th May 2021, Entuple Technologies
  8. GIAN Course on “GIAN Course on “Resilient power grid operation using synchrophasor technology: a smart grid operation perspective” from 17th to 21st Dec 2018 at Delhi Technological University.
  9. Course on “Machine Learning and Data Analytics using Python” from 9th to 13th September 2019 at IIT Roorkee.
  10. FDP on “Real Time Monitoring, Protection and Control of Power Systems” 21st – 26th May 2018 at National Institute of Technology Calicut.
  11. Course on “Smart grid Applications and Challenges” from 17th to 21st November 2014 at college of Engineering Kidangoor.
  12. Course on “Power System Simulation Studies Using ETAP Software” from 12th to 13th November 2015 at Barton hill Engineering College Trivandrum.
  13. FDP on “Real time applications of OPAL-RT for power electronics smart grid and microgrid” from 3rd to 7th August 2020 at VIT Chennai.
  14. Course on “Electric Power Grid Modernization: Trends, Challenges, and Opportunities” 20th to 24th July 2020 at National Institute of Engineering Mysore.
  15. Faculty Development Program on “Real-time Protection of Modern Power Systems” 23rd to 27th June 2020 at Kakatiya Institute of Technology & Science Warangal.

Conferences/ Workshops/ Webinars Organized (Chairman/ Convener/Others)

  1. FDP on “Smartgrid applications and challenges” in college of engineering Kidangoor 2014.
  2. FDP on “Real Time Monitoring, Protection and Control of Power Systems” 21st – 26th May 2018 at National Institute of Technology Calicut.
  3. International Workshop on Computational Intelligence 2023 (IWCI’23) , 7th August to 11th August 2023 at Amrita Vishwa Vidyapeetham Coimbatore
  4. Two-Day Online Workshop on MATLAB: Applications in Basic Electrical Engineering and Circuit Theory, 4th to 5th November 2023, Amrita School of AI, Amrita Vishwa Vidyapeetham Coimbatore
Miscellaneous

Awards/ Honors/ Recognition

  1. Outstanding Chapter Volunteer Award from IEEE Kerala Section 2023
  2. IEEE PES outstanding Engineer Award 2022
  3. Institute Fellowship of Ministry of Human Resource Development (MHRD), Government of India, as a Ph.D. research scholar in National Institute of Technology Calicut.
  4. Winner of Young Innovators Programme2019-22 conducted by Kerala Development and Innovation Council
  5. Rank Holder in ME Power Systems Engineering 2014 results

Membership/ Associations

  1. EXECOM member for IEEE Computational Intelligence Society Kerala Chapter in 2024
  2. Treasurer and YP activities Coordinator for IEEE PES Kerala Chapter in 2024
  3. R & D Mentor for IEEE SIGHT Kerala Section 2024
  4. Professional Member of IEEE (92143234)
  5. EXECOM member for IEEE PES YP and IEEE PES Kerala Chapter in 2023, R & D Mentor for IEEE SIGHT
  6. Professional Member of IEEE PES, IAS, IES, Smart grid, and Young Professionals.
  7. An active member of CIGRE (920191207).

Reviewers

  1. IEEE Internet of things
  2. ISA Transactions
  3. IEEE IAS Transactions
  4. IEEE Transactions on Sustainable Energy
  5. IEEE Access
  6. IEEE Electrical and Computer Engineering
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