Debashisha Jena

Designation: 

Professor

Date of Joining at NITK: 

Wednesday, April 22, 2009

Professional Experience: 

11 years

Contact Details

E-mail: 

djena.2490ee@nitk.edu.in
bapu4002@gmail.com

Alternate E-mail: 

bapu4002@gmail.com

Telephone: 

+91-824-2473466

Mobile: 

+91-9019148131

Personal Website: 

https://sites.google.com/site/djena4002
Faculty (author) Identifiers

ORCID iD: 

0000-0001-8800-4652

Scopus Author ID: 

55389939300
Academic Background
  • Ph.D (NIT Rourkela, Orissa), Control Systesm, 2010.
  • M.Tech (BPUT, Orissa), 2004.
  • B.E (UCE Burla, Orissa), 1996.
Areas of Interest
  • Artificial Intelligence and Machine Learning for Power and Energy Systems: Data-driven modelling, intelligent fault diagnosis, condition monitoring, reliability assessment, and predictive analytics for modern power systems.
  • Advanced Control Systems and Nonlinear System Identification: Nonlinear and adaptive control, sliding mode control, reinforcement learning-based control, system identification, and intelligent control of complex dynamical systems.
  • Renewable Energy Integration and Smart Grids: Modelling, control, forecasting, and energy management of solar photovoltaic and wind energy systems, microgrids, and distributed energy resources.
  • Uncertainty Quantification and Probabilistic Power System Analysis: Probabilistic load flow, renewable energy forecasting, uncertainty modelling, reliability evaluation, and risk assessment in renewable-integrated power systems.
Significant Projects
  1. Co-PI, “Design and Development of Real-Time Anomalous Electrical Power Consumption Detection Tool for Critical Devices of Cyber-Physical Systems” Sponsored by IHUB NTIHAC Foundation, IIT Kanpur, Govt. of India, with financial support of Rs. 36.65 lakhs for 3 years. (IHUB-NTIHAC/2024/01/5)
  2. Co-PI, “Synthesis of Intelligent Nanostructured Materials via a Plasma Source based Digital nano manufacturing method and their characterization”Sponsored by Science & Engineering Research Board (SERB) - CRG, Govt. of India with financial support of Rs. 30.23 lakhs for 3 year.(SERB/CRG/2022/005335)
  3. Co-PI, “Semi-active damping using controllable orifice for four-wheeler automobile” Sponsored by Science & Engineering  Research Board(SERB) by DST Govt. of India with financial support of Rs. 28.18 lakhs for 3 year.(SERB/EMR/2021/001519)
  4. Principal Investigator (PI), “Adaptive MPPT of Grid- tied Photovoltaic System using Magnetically Coupled Impedance Source Inverters” Sponsored by Science & Engineering  Research Board(SERB) by DST Govt. of India with financial support of Rs. 24.36 lakhs for 3 year.(SERB/EMR/2016/005851)
  5. Co-PI, “Investigation on the operation and control of multiple distributed generator sources in microgrid”. Sponsored bythe Ministry of Power, CPRI, Govt. of India, with financial support of Rs. 25 lakhs for 2 years. (CPRI/R&D/RSOP/NPP/2015)
  6. Principal Investigator (PI), “FPGA based development of different MPPT algorithms for a stand-alone photo voltaic system using artificial intelligence”Sponsored byMinistry of Power, CPRI,Govt. of India with financial support of Rs. 25.07 lakhs for 2 year. (CPRI/R&D/RSOP/NPP/2014)
Supervision of Ph.D

Degree Awarded: 09

  1. Dr Chiranjeevi Yarramsetty, PhD Thesis Title: Machine Learning-Driven Reliability Assessment Of Composite Power Systems With Renewable Energy, Energy Storage and Electrical Vehicles, under joint guidance with Dr Debashisha Jena (Date of PhD Award: 28th October 2025)
  2. Dr Rasananda Muduli, PhD Thesis Title: Application of Reinforcement Learning for Frequency Control of Electric Vehicles and Renewable Energy Sources Integrated Power Systems, under joint guidance with DrDebashisha Jena (Date of PhD Award: 8th October 2025).
  3. Dr Madderla Chiranjeevi, PhD Thesis Title: Solar Irradiance Forecasting Performance Enhancement using Advanced Hybrid Deep Learning Models, under joint guidance with DrDebashisha Jena (Date of PhD Award: 25th August 2025).
  4. Dr. Vikas Singh, PhD Thesis Title: Modeling and Analysis of Grid Connected Power Systems with Renewable Energy Integration Using Probabilistic Approach, under joint guidance with Dr. Debashisha Jena (Date of PhD Award: 16th July 2025).
  5. Dr. Reddiprasad Reddivari, PhD Thesis Title: “Investigation and Control of Magnetically Coupled Impedance Source Inverters for PV Applications” under sole guidance  Dr. Debashisha Jena (Date of PhD Award: 10th Jan 2022).
  6. Dr. Vivekanandan S, PhD Thesis Title: “Design and Analysis of Switched Capacitor Converter Topologies for Low Power Applications” under joint guidance Dr. Debashisha Jena (Date of PhD Award: 20th Sept 2019).
  7. Dr B. Rajanarayan Prusty, PhD Thesis Title: “Probabilistic Steady-State Analysis of Power Systems with Photovoltaic Generations” under the sole guidance of Dr Debashisha Jena (Date of PhD Award: 02ndApril 2019).
  8. Dr. M Vijay, PhD Thesis Title: “Neural Network Based Nonlinear Control Methods with Observer Design for Robotic Manipulators” under sole guidance Dr. Debashisha Jena (Date of PhD Award: 12th Oct 2018).
  9. Dr. Saravanakumar R, PhD Thesis Title: “Design of Nonlinear Controller for Variable Speed Variable Pitch Variable Wind Turbine” sole guidance with Dr. Debashisha Jena (Date of PhD Award: 14th March 2016).

On-going: 02

  1. Sunil Naik (Joint Guidance)
  2. Jagadish Bhatra (Joint Guidance)
Significant Publications

Patents (2)

  1. Indian Patent Title: “Distribution System Reliability Evaluation Using Long Short-Term Memory (LSTM) Neural Network”. IPR Application Number: 202641032489; Patent Filed Date: 18th March 2026; Published Date (Early): 27th March 2026; Status: Published. Inventors: Chiranjeevi Yarramsetty, Dr. Tukaram Moger, Dr. Debashisha Jena, K. Rambabu.
     
  2. Indian Patent Title “Scalable Single-Stage Single-Phase Differential Flipped Gamma Semi-Magnetically Coupled Impedance Source Inverter”. IPR Application Number: 202041047968; Patent Filed Date: 03th Nov 2026; Published Date (Early): 06th June 2022; Status: Granted on 12th March 2024. Inventors: Dr. Debashisha Jena, Gautham, Reddiprasad Reddivari.

Journal Papers (73)

  1. M. Painuly, S. Rajendran, V. S. K. Devi, D. Jena, and C. K. Aravind (2026), “A comparative study of different machine learning techniques for condition monitoring of submodule capacitors in modular multilevel converters,” Discover Applied Sciences, https://doi.org/10.1007/s42452-026-09204-w.
     
  2. Koushik, M., Naik, S. S., Jena, D., & Moger, T. (2026). “Efficient dual-loop control of an asymmetrical dual-input boost DC–DC converter for DC nanogrids”. Journal of Control, Automation and Electrical Systems, https://doi.org/10.1007/s40313-026-01324-3.
     
  3. Naik Sapavatu, S., Jena, D., & Moger, T. (2026). “PV–FC based high-gain non-isolated multi-port DC–DC converter with voltage multiplier cells for DC-microgrid applications”. Engineering Research Express, 8, 075307, https://doi.org/10.1088/2631-8695/ae50d3.
     
  4. Naik, S., Jena, D., & Moger, T. (2026). “Enhanced quadratic multi-port common grounded high voltage-gain DC–DC converter for electric vehicle applications”. Results in Engineering, 29, Article 109625, https://doi.org/10.1016/j.rineng.2026.109625.
     
  5. Muduli, R., Jena, D., & Moger, T. (2026). “Advanced sliding mode reaching law-based sliding mode controller for load frequency regulation in two-area power systems.” Sādhanā, 51(3), Article 267, https://doi.org/10.1007/s12046-026-03242-1.
     
  6. Yarramsetty, C., Moger, T., & Jena, D. (2026). “Reliability assessment of composite power systems integrated with renewables and energy storage using a hybrid LSTM-AdaBoost approach”. IEEE Transactions on Industry Applications.  https://doi.org/10.1109/TIA.2026.3676513.
     
  7. Madderla Chiranjeevi, Tukaram Moger and Debashisha Jena, “Advancements in Machine Learning and Deep Learning Techniques for Solar Power Forecasting: A Comprehensive Review”, International Journal of Renewable Energy Research (IJRER), 2026 (Article in Press)
     
  8. Muduli, R., Jena, D., & Moger, T. (2024). “Automatic generation control of islanded micro-grid using integral reinforcement learning-based adaptive optimal control strategy”. Electrical Engineering, 107(3), 3135–3150, https://doi.org/10.1007/s00202-024-02648-6.
     
  9. Madderla Chiranjeevi, Tukaram Moger and Debashisha Jena, “Solar Irradiance Forecasting Performance Enhancement using Hybrid Fuzzy Based CNN-BiLSTM-Transformer Model”, IEEE Access, vol. 13, pp. 186795-186810, 2025,  https://doi.org/10.1109/ACCESS.2025.3626780.
     
  10. Chiranjeevi Yarramsetty, Tukaram Moger, Debashisha Jena and Veeranki Srinivasa Rao, “Advances in Composite Power System Reliability Assessment: Trends and Machine Learning Role”, IEEE Access, vol. 13, pp. 80871-80888, 2025, https://doi.org/10.1109/ACCESS.2025.3567464.

Referred Conferences (83)

  1. J. Bhatra, C. D. Jaidhar, and D. Jena, “Detection of Anomalous Power Consumption Using TabNet-Based Approach,” in 2026 IEEE 6th International Conference on Sustainable Energy and Future Electric Transportation (SEFET), 2026, https://doi.org/10.1109/SEFET69291.2026.11687437.
     
  2. S. S. Hurkadli and D. Jena, “Range Prediction for Electric Vehicles: Ensemble of Bagging Regressor and XGBoost Regressor,” in 2025 IEEE 5th International Conference on Sustainable Energy and Future Electric Transportation (SEFET), 2025, https://doi.org/10.1109/SEFET65155.2025.11255438.
     
  3. A. Amruth Saroj, A. K. Verma, H. Kumar, R. K. Sahu, and D. Jena, “Computational Fluid Dynamics Analysis to Evaluate the Performance of a Variable Orifice Damper in a McPherson Suspension System,” in Recent Innovations and Developments in Mechanical Engineering, Lecture Notes in Mechanical Engineering, Springer, Singapore, 2026, pp. 195–203.https://doi.org/10.1007/978-981-95-9318-7_21.
     
  4. A. K. Verma, A. Amruth Saroj, N. Barnwal, H. Kumar, R. K. Sahu, and D. Jena, “Development and Characterization of a Ball Valve External Variable Orifice Damper,” in Recent Innovations and Developments in Mechanical Engineering, Lecture Notes in Mechanical Engineering, Springer, Singapore, 2026, pp. 231–243, https://doi.org/10.1007/978-981-95-9318-7_24.
     
  5. A. K. Verma, N. Barnwal, N. P. Puneet, H. Kumar, R. K. Sahu, and D. Jena, “Development and Characterization of an Internal Variable Orifice Damper for Vehicular Application,” in Recent Innovations and Developments in Mechanical Engineering, Lecture Notes in Mechanical Engineering, Springer, Singapore, 2026, pp. 271–277, https://doi.org/10.1007/978-981-95-9318-7_28.
  6. S. Sunil Naik, Debashisha Jena and Tukaram Moger, “Active Switched Inductor Multi-input High-gain DC-DC Converter for EV Applications”, IEEE International Conference on Power Electronics, Drives and Energy Systems 2026 (PEDES 2026) held during 16th to 19th December 2026, IIT Guwahati, Assam, India (Accepted).
     
  7. Aaron Joash Pinto, S. Sunil Naik, Debashisha Jena and Tukaram Moger, “A Quadratic Gain Four-Switch Bi-Directional DC–DC Converter with Cascade Current Mode Control for EV Applications”, IEEE International Conference on Power Electronics, Drives and Energy Systems 2026 (PEDES 2026) held during 16th to 19th December 2026, IIT Guwahati, Assam, India (Accepted).
     
  8. Aaron Joash Pinto, S. Sunil Naik, Debashisha Jena and Tukaram Moger, “A Generalized Device-Level Framework for Transforming Unidirectional DC–DC Converters into Bidirectional Converters: Analysis and Validation Across Multiple Converter Families”,International Conference on Advanced Engineering for Sustainable and Integrated Systems (ICAESIS), held during 29th to 31st October 2026, Mohan Babu University, Tirupati, India (Accepted).
     
  9.  M. Chiranjeevi, T. Moger, D. Jena, and L. Gunakar Rao, “A Robust Hybrid Deep Learning Framework for Solar Irradiance Forecasting Using KPCA-CNN-BiLSTM-Autoformer,” in 2025 IEEE International Conference on Smart Power, Energy, Renewables, and Transportation (SPERT), Dec. 22–24, 2025,https://doi.org/10.1109/SPERT67079.2025.11469511.
     
  10. Koushik, S. S. Naik, T. Moger, and D. Jena, “Compact Single-Inductor Dual-Input Boost Converter Design for EV Applications,” in 2025 International Conference on Advancements in Power, Communication and Intelligent Systems (APCI), Jun. 2025, pp. 1–6, https://doi.org/10.1109/APCI65531.2025.11137144.

Book Chapters (11)

  1. Madderla Chiranjeevi, Tukaram Moger and Debashisha Jena, “Hybrid Deep Learning Framework Sustainable Environmental System: A Case Study for Solar Irradiance Prediction”, Book chapter in Approaches of Adaptive Modeling for Sustainable Environmental System: Policy & Governance published by CRC Press Taylor & Francis Group (http://www.taylorandfrancis.com), 2026 (Accepted).
     
  2. S. Sunil Naik, Debashisha Jena and Tukaram Moger, “Machine Learning Control Techniques for DC-DC Converters”,Book chapter in Intelligent Control and Design of Converters for Renewable Energy Sources and Electric Vehicles Application published by CRC Press Taylor & Francis Group (http://www.taylorandfrancis.com), 2026 https://doi.org/10.1201/9781003515807-4.
     
  3. Madderla Chiranjeevi, Akhilesh Madyastha, Amrit Kumar Mourya, S Ramesh Torun, Ghangale Vaibhav Suresh, Abhinav Pundir, Tukaram Moger and Debashisha Jena, “Enhancing Solar Irradiance Forecasting: A Comprehensive Exploration of Various Clustering Methods Combined with MLPNN”, Book chapter in Green Technology and Industry 4.0 for Sustainable Future published by CRC Press Taylor & Francis Group (http://www.taylorandfrancis.com), pp. 1-40; March 2026, https://doi.org/10.1201/9781003735281-4.
     
  4. Madderla Chiranjeevi, Tukaram Moger and Debashisha  Jena, “Robust Solar Irradiance Prediction: A Hybrid Approach Using XGBoost for Feature Extraction and WaveNet for Forecasting”. Book chapter in Lecture Notes in Networks and Systems published by Springer Nature Singapore Pvt. Ltd., vol 1373, pp. 283–295, August 2025, https://doi.org/10.1007/978-981-96-5729-2.
     
  5. Chiranjeevi Yarramsetty, Tukaram Moger and Debashisha Jena, “Reliability Evaluation of Composite Power Systems Using Machine Learning Techniques”. Book chapter in Lecture Notes in Networks and Systems published by Springer Nature Singapore Pvt. Ltd., vol 1373, pp. 379–390, August 2025, https://doi.org/10.1007/978-981-96-5729-2.
     
  6. Madderla Chiranjeevi, S. Ramesh Torun, Ghangale Vaibhav Suresh, Abhinav Pundir, Tukaram Moger and Debashisha Jena, “Comparison of Solar Irradiance Forecasting Performance with K-means++ Clustering Combined with Hybrid Deep Learning Models”, Book chapter in Pioneering Sustainable Innovations in Renewable Energy Technologies, published by IGI Global (http://www.igi-global.com) USA, pp. 111-146, May 2025, https://doi.org/10.4018/979-8-3693-9924-8.ch007.
     
  7. Vikas Singh, Tukaram Moger and Debashisha Jena, “Probabilistic Load Flow Study Considering Fuzzy Logic-Based Contingency Sequencing for Network Outages”, Book chapter in Sustainable Energy and Technological Advancements published by Springer Nature Singapore Pvt. Ltd., pp. 57-70, September 2023,  https://doi.org/10.1007/978-981-99-4175-9.
     
  8. Vikas Singh, Tukaram Moger and Debashisha Jena, “Probabilistic Steady-State Analysis of Power Systems Integrated with Renewable Generations”, Book chapter in Renewable Energy Integration to Grid: A Probabilistic Perspective published by CRC Press, Taylor and Francis Group(http://www.taylorandfrancis.com), pp. 199-238, March 2022, https://doi.org/10.1201/9781003271857.
     
  9. Rajanarayan Prusty B., Jena D. (2019) “Probabilistic Load Flow in a Transmission System Integrated with Photovoltaic Generations”. In: Mishra S., Sood Y., Tomar A. (eds) Applications of Computing, Automation and Wireless Systems in Electrical Engineering. Lecture Notes in Electrical Engineering, vol 553. Springer, Singapore, https://doi.org/10.1007/978-981-13-6772-4_101.
     
  10. Rajanarayan Prusty B., Jena D. (2019) “Uncertainty Modeling Steps for Probabilistic Steady-State Analysis”.In: Mishra S., Sood Y., Tomar A. (eds) Applications of Computing, Automation and Wireless Systems in Electrical Engineering. Lecture Notes in Electrical Engineering, vol 553. Springer, Singapore, https://doi.org/10.1007/978-981-13-6772-4_102.
     
  11. B. Subudhi, D. Jena, Evolutionary Computing Approaches to System Identification, “Handbook of Research on Computational Intelligence Applications in Bioinformatics”, (IGI Global, 2016).
Achievements
  1. Recognised among the World's Top 2% Scientists (Single-Year Impact) in the Updated Science-Wide Author Databases of Standardised Citation Indicators, published by Stanford University and Elsevier, for six years from 2020 onwards.
     
  2. Recipient of the IETE–Gowri Memorial Award 2023, conferred by the Institution of Electronics and Telecommunication Engineers (IETE).
     
  3. GSEP scholarship by the Government of Canada for doing 6-month research work at University of Saskatchewan Canada.

  4. First Prize Winners (worth of 50,000/-) of National Level Open Challenge Competition: "Solution to Problem" - DEFEXPO 2018

Books Published

  1. Authored a book on“ Basic Electrical Engineering” By Dr. Debashisha Jena Wiley India Publication  ISBN:978-81-265-3613-9 (Single author)
     
  2. Authored a book on“Power System Analysis Operation and Control” By Debashisha Jena and B. Rajnarayana Prusty, I. K.  International Publishing House Pvt. Ltd. ISBN 978-93-82332-49-7 (Double Author)
     
  3. B. Subudhi, D. Jena, Evolutionary Computing Approaches to System Identification, Handbook of Research on Computational Intelligence Applications in Bioinformatics, (IGI Global, 2016)
Remarks

Detailed CV: 

https://drive.google.com/file/d/1Ad2ovtaJCK6UaCF7B-DPO8wHPpgMhKKG/view?usp=shari...