Debashisha Jena

Designation: 

Professor

Date of Joining at NITK: 

Wednesday, April 22, 2009

Professional Experience: 

25 years ( at NITK - 17 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.

Text Books (2)

  1. 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)
     
  2. Authored a book on“Basic Electrical Engineering”By Dr. Debashisha Jena Wiley India PublicationISBN:978-81-265-3613-9 (Single author)

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).

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.
     
  11. Chiranjeevi Yarramsetty, Tukaram Moger, Debashisha Jena and Veeranki Srinivasa Rao, “A Novel Transformer-Based Approach for Reliability Evaluation of Composite Systems with Renewables and Plug-in Hybrid Electric Vehicles”, IEEE Access, vol. 13, pp. 74032-74046, 2025, https://doi.org/10.1109/ACCESS.2025.3564407.
     
  12. Vikas Singh, Tukaram Moger and Debashisha Jena, “A Modified Point-Estimate-Based Probabilistic Load Flow Approach for Improving Tail Accuracy in Wind-Integrated Power Systems”, Electric Power Systems Research, vol. 245, pp. 111606, 2025, https://doi.org/10.1016/j.epsr.2025.111606.
     
  13. Vikas Singh, Tukaram Moger and Debashisha Jena, “Maximum Entropy based Probabilistic Load Flow for Assessing Input Uncertainties and Line Outages in Wind-Integrated Power Systems”, Electric Power Systems Research, vol. 244, pp. 111528, 2025, https://doi.org/10.1016/j.epsr.2025.111528.
     
  14. Chiranjeevi Yarramsetty, Tukaram Moger and Debashisha Jena, “A Hybrid Model of Convolutional Neural Network and An Extreme Gradient Boosting for Reliability Evaluation in Composite Power Systems Integrated with Renewable Energy Resources”, Electrical Engineering, Springer Nature, vol. 107, pp. 3495–3510, 2025, https://doi.org/10.1007/s00202-024-02683-3.
     
  15. S. Rajendran, R. Sreejesh, V. S. K. Devi, D. Jena, and D. Banjerdpongchai (2025), “Dynamic mode decomposition based fault diagnosis in three-phase electrical machines,” Results in Engineering, vol. 25, 103761, https://doi.org/10.1016/j.rineng.2024.103761.
     
  16. Madderla Chiranjeevi, Akhilesh Madyastha, Amrit Kumar Maurya, Tukaram Moger and Debashisha  Jena, “Solar Irradiation Forecast Enhancement Using Clustering based CNN-BiLSTM-Attention Hybrid Architecture with PSO”, International Journal of Ambient Energy, vol. 45, Issue. 1, pp. 2414924, 2024,   https://doi.org/10.1080/01430750.2024.2414924.
     
  17. Rasananda Muduli, Debashisha Jena and Tukaram Moger, “A Survey on Load Frequency Control Using Reinforcement Learning-Based Data-Driven Controller”, Applied Soft Computing, vol. 166, pp. 112203, 2024, https://doi.org/10.1016/j.asoc.2024.112203.
     
  18. S. Rajendran, D. Jena, and M. Diaz (2024), “Design of modified complementary terminal sliding mode controller for wind turbine at region II using a two-mass model,” Results in Engineering, vol. 24, 103026, https://doi.org/10.1016/j.rineng.2024.103026.
     
  19. Rasananda Muduli, Debashisha Jena and Tukaram Moger, “Automatic Generation Control of Is-landed Micro-grid Using Integral Reinforcement Learning-Based Adaptive Optimal Control Strategy”, Electrical Engineering, Springer Nature, vol. 107, Issue. 3, pp. 3135-3150, 2024, https://doi.org/10.1007/s00202-024-02648-6.
     
  20. Rasananda Muduli, Debashisha Jena and Tukaram Moger, “Application of Reinforcement Learning-Based Adaptive PID controller for Automatic Generation Control of Multi-Area Power System”, IEEE Transactions on Automation Science and Engineering, vol. 22, pp. 1057-1068, 2025, https://doi.org/10.1109/TASE.2024.3359219.
     
  21. Madderla Chiranjeevi, Skandha Subramanya, Tukaram Moger and Debashisha Jena, “Solar Irradiation Prediction Hybrid Framework using Regularized Convolutional BiLSTM based Autoencoder Approach,"IEEE Access, vol. 11, pp. 131362 - 131375, 2023, https://doi.org/10.1109/ACCESS.2023.3330223.
     
  22. S. Rajendran, M. Diaz, V. S. K. Devi, D. Jena, J. C. Travieso, and J. Rodriguez (2023), “Wind turbine emulators—A review,”Processes, vol. 11, no. 3, 747, https://doi.org/10.3390/pr11030747.
     
  23. S. Rajendran, D. Jena, M. Diaz, and J. Rodríguez (2023), “Terminal integral synergetic control for wind turbine at region II using a two-mass model,” Processes, vol. 11, no. 2, 616, https://doi.org/10.3390/pr11020616.
     
  24. Vikas Singh, Tukaram Moger and Debashisha Jena, “Probabilistic Load Flow Approach Combining Cumulant Method and K-means Clustering to Handle Large Fluctuations of Stochastic Variables”, IEEE Transactions on Industry Applications, vol. 59, Issue: 3, pp. 2832-2841, 2023, https://doi.org/10.1109/TIA.2023.3239558.
     
  25. Vikas Singh, Tukaram Moger and Debashisha Jena, “Probabilistic Load Flow for Wind Integrated Power System Considering Node Power Uncertainties and Random Branch Outages”, IEEE Transactions on Sustainable Energy, vol.14, Issue.1, pp. 482-489, 2022, https://doi.org/10.1109/TSTE.2022.3216914.
     
  26. Vikas Singh, Tukaram Moger and Debashisha Jena, “Uncertainty handling techniques in power systems: A critical review”, Electric Power Systems Research, Volume 203, 107633, 2022, https://doi.org/10.1016/j.epsr.2021.107633.
     
  27. Gautham T. N., R. Reddivari, and D. Jena (2023), “Semi-Γ Type Single Phase Differential Boost Inverter With High Voltage Gain,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 70, no. 4, pp. 1495–1499, https://doi.org/10.1109/TCSII.2022.3224662.
     
  28. Reddiprasad Reddivari, Debashisha Jena (2022), “Improved Gamma type Ysource inverter for rooftop PV based V-G applications”, International Journal of Electrical Power and Energy Systems, vol: 142, pp: 1-12,https://doi.org/10.1016/j.ijepes.2022.108261, PISSN: 0142061.
     
  29. Reddiprasad Reddivari, Debashisha Jena (2022), “A low voltage harvesting in photovoltaic generation systems using negative embedded Z-source inverter”, International Transactions on Electrical Energy Systems, vol.31, pp: 1-22, https://doi.org/10.1002/2050-7038.13018, PISSN: 20507038.
     
  30. Kumar Gaurav Ranjan, B Rajanarayan Prusty, Debashisha Jena (2021), “Review of preprocessing methods for univariate volatile time-series in power system applications,” Electric Power Systems Research (Elsevier), vol. 191., https://doi.org/10.1016/j.epsr.2020.106885, ISSN: 0378-7796.
     
  31. Reddiprasad Reddivari & Debashisha Jena (2021), “A Correlative Investigation of Impedance Source Networks: A Comprehensive Review,” IETE Technical Review (T&F), https://doi.org/10.1080/02564602.2020.1870006, ISSN: 0256-4602.
     
  32. T. N. Gautam, R. Reddivari, and D. Jena (April 2021), "A cost effective single phase semi flipped gamma type magnetically coupled impedance source inverters," International Journal of circuit theory and application (Wiley), vol. 19, no. 4, pp. 1078-1102, https://doi.org/10.1002/cta.2865, ISSN: 1097-007X.
     
  33. Ranjan, K. G., Tripathy, D. S., Prusty, B. R., & Jena, D. (2020), “An improved sliding window prediction‐based outlier detection and correction for volatile time‐series,” International Journal of Numerical Modelling: Electronic Networks, Devices and Fields(Wiley), https://doi.org/10.1002/jnm.2816,  ISSN: 1099-1204.
     
  34. R. Reddivari, D. Jena and G. T. N.(Nov-Dec. 2020), “Analysis, Design, and Performance Evaluation of Differential-Mode Y-Source Converters for Voltage Spikes Mitigation,”  IEEE Transactions on Industry Applications, vol. 56, no. 6, pp. 6701-6710, https://doi.org/10.1109/TIA.2020.3019228. ISSN: 0093-9994.
     
  35. R. Reddivari and D. Jena (Oct. 2020), "A Negative Embedded Differential Mode Γ-Source Inverter with Reduced Switching Spikes," IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 67, no. 10, pp. 2009-2013, https://doi.org/10.1109/TCSII.2019.2941597, ISSN: 1549-7747.
     
  36. Vivekanandan Subburaj, Debashisha Jena, Parthiban Perumal and Yaqub Mahnashi (2020), “High efficiency two-phase switched-capacitor converter with seven distinct negative voltage ratios for power saving applications,” International Journal of Electronics Letters (T&F), vol. 8, no. 3, pp.  298-303,   https://doi.org/10.1080/21681724.2019.1600728, ISSN: 2168-1724.
     
  37. Reddiprasad Reddivari and Debashisha Jena (Oct. 2020), “Analysis of RCD snubber based non-ideal Z-source inverter using average modelling approaches,” International Journal of Electronics (T&F), vol. 107, no.5 pp. 755-777. https://doi.org/10.1080/00207217.2019.1672811, ISSN: 0020-7217.
     
  38. Subburaj, V., Jena, D., and Perumal, P (2020), “Low power digital on-chip implementation of Fibonacci non-magnetic switching converter for IoT applications,”  International Journal of Power Electronics (Inderscience), vol. 12, no. 3, pp. 332-348, https://doi.org/10.1504/IJPELEC.2020.110066, ISSN: 1756-6398.
     
  39. Reddivari, R., and  Jena, D. (2019), “Novel active clamped Y-source network for improved voltage boosting,” IET Power Electronics, vol. 12, no. 8,  pp. 2005-2014,  https://doi.org/10.1049/iet-pel.2018.6212, ISSN: 1755-4535.
     
  40.  Kancharana Vinod Kumar, Reddiprasad Reddivari and Debashisha Jena (2019), “A Comparative Study of Different Capacitor Voltage Control Design Strategies for Z-Source Inverter,”  IETE Journal of Research (T&F) , https://doi.org/10.1080/03772063.2019.1650669, ISSN: 0377-2063.
     
  41. V. Subburaj, Y. Mustafa, A. Zhaikhan, D. Jena, P. Perumal and A. Ruderman (Aug. 2019), “Two Phase (Reconfigurable) Inverting Switched Capacitor Converter for Micro Power Applications and its Accurate Equivalent Resistance Calculation,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 66, no. 8, pp. 1446-1450, https://doi.org/10.1109/TCSII.2018.2886076, ISSN: 1549-7747.
     
  42. Prusty, B. R., and Jena, D. (Jan. 2019), “A spatiotemporal probabilistic model‐based temperature‐augmented probabilistic load flow considering PV generations,” International Transactions on Electrical Energy Systems(Wiley), vol. 29, no. 5 e2819, https://doi.org/10.1002/2050-7038.2819, ISSN:2050-7038. 
     
  43. Subburaj, V., Zhaikhan, A., Jena, D., Parthiban, P., Mustafa, Y., and Ruderman, A. (May 2019), “Investigation of a Family of Dual-Output Coupled/Decoupled Switched Capacitor Converter for Low Power Applications,” IET Circuits, Devices & Systems, vol. 13, no. 3, pp. 352-360, https://doi.org/10.1049/iet-cds.2018.5419, ISSN 1751-858X.
     
  44. Reddivari, R., and Jena, D. (2018), “A Critical Analysis of Z-Source Converters Considering the Effects of Internal Resistances,” International Journal of Electronics (T&F), vol. 105, no. 10, pp.1785-1803, https://doi.org/10.1080/00207217.2018.1482007, ISSN: 0020-7217.
     
  45. Abraham, C., Subburaj, V., Jena, D., Perumal, P., Jose, B. R., and Mathew, J. (2018), “Reconfigurable highly efficient CMOS-based dual input variable output switched capacitor converter for low power applications,” Electronics Letters (IET), vol. 54, no.2, pp. 89-91, https://doi.org/10.1049/el.2017.3576, ISSN:1350-911X.
     
  46. B. R. Prusty and D. Jena (May 2018), “Preprocessing of Multi-Time Instant PV Generation Data,”  IEEE Transactions on Power Systems, vol. 33, no. 3, pp. 3189-3191, https://doi.org/10.1109/TPWRS.2018.2799487, ISSN: 0885-8950.
     
  47. Prusty, B. R., & Jena, D. (2018), “An over-limit risk assessment of PV integrated power system using probabilistic load flow based on multi-time instant uncertainty modeling,” Renewable Energy (Elsevier), vol. 116, Part A, pp. 367-383, https://doi.org/10.1016/j.renene.2017.09.077, ISSN: 0960-1481.
     
  48. Vijay, M., & Jena, D. (2017), “Backstepping terminal sliding mode control of robot manipulator using radial basis functional neural networks,” Computers & Electrical Engineering (Elsevier),vol. 67, pp.690-707,https://doi.org/10.1016/j.compeleceng.2017.11.007, ISSN: 0045-7906.
     
  49. Bhat, N. G., Prusty, B. R., and Jena, D. (2017), “Cumulant-based correlated probabilistic load flow considering photovoltaic generation and electric vehicle charging demand,” Frontiers in Energy (Springer), vol. 11, pp. 184-196, https://doi.org/10.1007/s11708-017-0465-7, ISSN: 2095-1701.
     
  50. M. Vijay and D. Jena (2017), “PSO based neuro fuzzy sliding mode control for a robot manipulator,” Journal of Electrical Systems and Information Technology, vol. 4, no. 1, pp. 243–256. https://doi.org/10.1016/j.jesit.2016.08.006.
     
  51. Prusty, B. R., and Jena, D. (May-June 2017), “A sensitivity matrix based temperature augmented probabilistic load flow,” IEEE Transaction on Industry Applications, vol. 53, no. 3, pp.2506-2516, https://doi.org/10.1109/TIA.2017.2660462, ISSN: 0093-9994.
     
  52. Prusty, B. R., & Jena, D. (March 2017), “A critical review on probabilistic load flow studies in uncertainty constrained power systems with photovoltaic generation and a new approach,” Renewable and Sustainable Energy Reviews (Elsevier), vol. 69, pp. 1286-1302, https://doi.org/10.1016/j.rser.2016.12.044. ISSN: 1364-0321.
     
  53. Vijay, M., and Jena, D. (2016), “Intelligent adaptive observer-based optimal control of overhead transmission line de-icing robot manipulator,” Advanced Robotics (T&F), vol. 30, no. 17-18, pp. 1215-1227, https://doi.org/10.1080/01691864.2016.1207562, ISSN: 0169-1864.
     
  54. Ramana, V. V., Jena, D., & Gaonkar, D. N. (2016), “An Accurate Modeling of Different Types of Photovoltaic Modules Using Experimental Data,” International Journal of Renewable Energy Research (IJRER), vol. 6, no. 3, pp. 970-974, ISSN: 1309-0127.
     
  55. Saravanakumar, R., and Jena, D. (2016), “Nonlinear control of wind turbine with optimal power capture and load mitigation,” Energy Systems (Springer), vol. 7, no. 3, pp. 429-448, https://doi.org/10.1007/s12667-015-0170-8, ISSN: 1868-3967.
     
  56. Saravanakumar, R., and Jena, D. (2016), “Nonlinear control of a wind turbine based on nonlinear estimation techniques for maximum power extraction,” International Journal of Green Energy (T&F), vol. 13, no. 3, pp. 309-319, https://doi.org/10.1080/15435075.2014.952424, ISSN: 1543-5075.
     
  57. Saravanakumar, R., & Jena, D. (2016), “Control Strategy to Maximize Power Extraction in Wind Turbine,” Distributed Generation & Alternative Energy Journal (T&F), vol. 31, no. 4, pp. 27-49, https://doi.org/10.1080/21563306.2016.11781079, ISSN: 2156-3306.
     
  58. B. R. Prusty and D. Jena (June 2016), “Combined cumulant and Gaussian mixture approximation for correlated probabilistic load flow studies: a new approach,”  CSEE Journal of Power and Energy Systems, vol. 2, no. 2, pp. 71-78, https://doi.org/10.17775/CSEEJPES.2016.00024, ISSN: 2096-0042.
     
  59. Saravanakumar, R., and Jena, D. (2015), “Validation of an integral sliding mode control for optimal control of a three blade variable speed variable pitch wind turbine,” International Journal of Electrical Power & Energy Systems (Elsevier), vol.69, pp. 421-429, https://doi.org/10.1016/j.ijepes.2015.01.031, ISSN: 0142-0615.
     
  60. Saravanakumar, R., and Jena, D. (2015), “A review of estimation of effective wind speed based control of wind turbines,” Renewable and Sustainable Energy Reviews (Elsevier), vol.43, pp. 1046-1062, https://doi.org/10.1016/j.rser.2014.11.088, ISSN: 1364-0321.
     
  61. S. Rajendran and D. Jena (2015), “Load mitigation and optimal power capture for variable speed wind turbine in region 2,” Journal of Renewable Energy, vol. 2015, Article 978216. https://doi.org/10.1155/2015/978216.
     
  62. Rajendran, S., and Debashisha, Jena (2015), “Backstepping sliding mode control of a variable speed wind turbine for power optimization,” Journal of Modern Power Systems and Clean Energy, vol. 3, no. 3, pp. 402-410, https://doi.org/10.1007/s40565-015-0106-2, ISSN: 2196-5625.
     
  63. Jena, D., and Ramana, V. V. (2015), “An accurate modeling of photovoltaic system for uniform and non-uniform irradiance,” International Journal of Renewable Energy Research (IJRER), vol.5, no. 1, pp. 29-40, ISSN: 1309-0127.
     
  64. Ramana, V. V. and Jena, D. (2015), “Modeling of photovoltaic system for uniform and non-uniform irradiance: A critical review,” Renewable and Sustainable Energy Reviews (Elsevier), vol.52, pp. 400-417, https://doi.org/10.1016/j.rser.2015.07.079, ISSN: 1364-0321.
     
  65. Rajendran, S., and Jena, D. (2014), “Variable speed wind turbine for maximum power capture using adaptive fuzzy integral sliding mode control,” Journal of Modern Power Systems and Clean Energy,vol. 2, no. 2, pp.114-125, https://doi.org/10.1007/s40565-014-0061-3,ISSN: 2196-5625.
     
  66. D. Jena and M. Vijay (2014), “GA Based Adaptive Optimal Controller for 2DOF Robot Manipulator,” Advances in Control and Optimization of Dynamical Systems, vol. 3, no. 1, pp. 670–675. https://doi.org/10.3182/20140313-3-IN-3024.00085.
     
  67. S. Rajendran and D. Jena (2014), “Control of variable speed variable pitch wind turbine at above and below rated wind speed,” Journal of Wind Energy, Article 709128. https://doi.org/10.1155/2014/709128.
     
  68.  Saravanakumar R, and Jena Debashisha (2014) “Adaptive fuzzy sliding mode control for variable speed wind turbine for maximum power capture,” WSEAS Trans Power Syst., vol.9, pp. 281-290,  ISSN: 1790-5060.
     
  69. Subudhi, B., and Jena, D. (Jan. 2011), “A differential evolution based neural network approach to nonlinear system identification,” Applied Soft Computing (Elsevier), vol. 11, no. 1, pp. 861-871, https://doi.org/10.1016/j.asoc.2010.01.006, ISSN: 1568-4946.
     
  70. Subudhi, B., and Jena, D. (May 2011), “Nonlinear system identification using memetic differential evolution trained neural networks,” Neurocomputing (Elsevier), vol. 74, no. 10, pp. 1696-1709, https://doi.org/10.1016/j.neucom.2011.02.006, ISSN: 0925-2312.
     
  71. Subudhi, B., and Jena, D. (2009), “An improved differential evolution trained neural network scheme for nonlinear system identification,” International Journal of Automation and Computing (Springer), vol.6, no. 2, pp. 137-144,  https://doi.org/10.1007/s11633-009-0137-0, ISSN: 1476-8186.   
     
  72. Subudhi, B., and Jena, D. (2009), “Differential evolution computation applied to parameter estimation of induction motor,” Archives of Control Sciences, vol. 19, no. 1, pp. 59-80, ISSN: 1230-2384.
     
  73. Subudhi, B., and Jena, D. (2008), “Differential evolution and Levenberg Marquardt trained neural network scheme for nonlinear system identification,” Neural Processing Letters (Springer), vol. 27, no. 3, pp. 285-296, https://doi.org/10.1007/s11063-008-9077-x, ISSN: 1370-4621.

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.
Achievements
Award/Prize/Fellowships/Scholarships/Memberships
 
  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. PhD student Dr B. R. Prusty, under my supervision, received the POSOCO Power Systems Award (PPSA) 2019, organised by Power System Operation Corporation Ltd. (POSOCO) and the Foundation for Innovation and Technology Transfer (FITT).
     
  4. M.Tech student Mr Nitesh Ganesh Bhat, under my supervision, received the POSOCO Power Systems Award (PPSA) 2019, organised by Power System Operation Corporation Ltd. (POSOCO) and the Foundation for Innovation and Technology Transfer (FITT).
     
  5. M.Tech student Mr Vanjari Venketa Raman, under my supervision, received the POSOCO Power Systems Award (PPSA) 2015, organised by Power System Operation Corporation Ltd. (POSOCO) and the Foundation for Innovation and Technology Transfer (FITT).
     
  6. M.Tech student Mr M.Vijay, under my supervision, received the POSOCO Power Systems Award (PPSA) 2013, organised by Power System Operation Corporation Ltd. (POSOCO) and the Foundation for Innovation and Technology Transfer (FITT).
     
  7. Best Paper Award,at the International Conference on Manufacturing, Advanced Computing, Renewable Energy and Communication (MARC 2018), organised by HMR Institute of Technology and Management, New Delhi, India, on 19–20 July 2018, for the paper titled “Uncertainty ModellingSteps for Probabilistic Steady-State Analysis.”
     
  8. Best Paper Award, 2nd International Symposium on Sustainable Energy and Technological Advancements (ISSETA 2023), organised by the National Institute of Technology Meghalaya on 24–25 February 2023, under Track 1 (Modern Power Systems), for the paper titled “Probabilistic Load Flow Study Considering Fuzzy Logic Based Contingency Sequencing for Network Outages.”
     
  9. Best Paper Award,at the IEEE International Conference on Smart Power, Energy, Renewables, and Transportation (IEEE-SPERT 2025), held at Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, Gujarat, India, during 22–24 December 2025, for the paper titled “A Robust Hybrid Deep Learning Framework for Solar Irradiance Forecasting using KPCA-CNN-BiLSTM Autoformer.”
     
  10. First Prize of ₹50,000in the National-Level Open Challenge Competition, “Solution to Problem,” at DEFEXPO India 2018, organised by the Ministry of Defence, Government of India. The award-winning solution addressed the problem of “Nap of the Earth / Valley Flying using autopilot due to GPS signal corruption in hilly areas/high-rise buildings.”
     
  11. Graduate Student Exchange Program (GSEP) Fellowshipby the Canadian Bureau for International Education (CBIE), on behalf of Foreign Affairs and International Trade Canada (DFAIT), in 2008, to undertake six months of research at the University of Saskatchewan, Canada, on Neuro-Control of Complex Dynamic Systems.
     
  12. MHRD Scholarship for doing Ph.D.
     
  13. MHRD Scholarship for doing M.Tech.
     
  14. Senior member of IEEE USA.
     
  15. Life member of Indian Society for Technical Education, ISTE.

Short-term courses/Workshops/Seminars/Training Camps organised:
 

  1. DST-ANRF (erstwhile SERB)-funded five-day online workshop on “Advanced Materials and Manufacturing: Characterization and Applications” organized by the Department of Mechanical Engineering, National Institute of Technology Karnataka (NITK), Surathkal, Mangalore from 22-09-2025 to 26-09-2025. Coordinators: Dr Ranjeet Kumar Sahu, Dr Hemantha Kumar, Dr Debashisha Jena.
     
  2. Served as a Special Session Organizer for the special session titled “Intelligent Forecasting Techniques for Smart Energy and Transportation Systems Using Machine Learning and Hybrid Deep Learning Models” (SS3) at the IEEE International Conference on Smart Power, Energy, Renewables, and Transportation (IEEE-SPERT 2025), held at Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, Gujarat, India, from 22–24 December 2025.
     
  3. 5 Day Short-Term Training Program on “Applications of Deep Learning in Multidisciplinary Area”organized by the Department of Information Technology & Department of Electrical and Electronics Engineering, National Institute of Technology Karnataka (NITK), Surathkal, Mangalore from 01-07-2024 to 05-07-2024. Coordinators: Dr Jaidhar C.D., Dr Debashisha Jena
     
  4. DST-SERB-funded five-day online workshop on “Vehicular Vibrations Control with Modern Suspension Systems” organized by the Department of Mechanical Engineering, National Institute of Technology Karnataka (NITK), Surathkal, Mangalore from 21-08-2023 to 25-08-2023. Coordinators: Dr Hemantha Kumar, Dr Debashisha Jena, Dr Ranjeet Kumar Sahu.
     
  5. International Conference on “Recent Advances on Renewable Energy”(RARE-2020) organized by the Department of Electrical & Electronics Engineering, National Institute of Technology Karnataka (NITK), Surathkal, Mangalore from 07-02-2020 to 09-02-2020. Coordinators: Prof. Paresh Chandra Deka, Dr Veershetty Gumtapure Dr Debashisha Jena, Dr Ashwini Sharma (GEC Jhalawar), Dr Moti Lal Rinwa (GEC Jhalawar).
     
  6. Self Sponsored One Week Hands-On Training workshop on “Power System Analysis and Design Using DIgSILENT PowerFactory Software” organized by the Department of Electrical & Electronics Engineering, National Institute of Technology Karnataka (NITK), Surathkal, Mangalore from 02-07-2018 to 06-07-2018. Coordinators: Dr Tukaram Moger, Dr Venkatesa Perumal, Dr D. N. Gaonkar, Dr Debashisha Jena.
     
  7. TEQIP-III sponsored One week workshop on “Recent Trends in Power Systems Operation and Control” organized by the Department of Electrical & Electronics Engineering, National Institute of Technology Karnataka (NITK), Surathkal, Mangalore from 11-06-2018 to 15-06-2018. Coordinators: Dr Tukaram Moger, Dr D. N. Gaonkar, Dr Debashisha Jena.
     
  8. TEQIP-III (GEC Jhalawar and NITK Surathkal) Sponsored One Week Faculty Development Program (FDP) on “Recent Developments in Soft Computing Techniques for Engineering Applications” jointly organized by the Department of Electrical Engineering, Government Engineering College (GEC), Jhalawar, Rajasthan, and Department of Electrical & Electronics Engineering NITK Surathkal, Mangalore and held at GEC Jhalawar, from 14-05-2018 to 18-05-2018 Coordinators (NITK): Dr Tukaram Moger, Dr Debashisha Jena.
     
  9. National Workshop on “Renewable Energy Sources and Control (RESC-2012)” organized by the Department of Electrical Engineering, National Institute of Technology Karnataka (NITK), Surathkal, Mangalore, on 20–21 December 2012. Coordinators: Dr Debashisha Jena and Dr D. N. Gaonkar; Co-coordinator: Mr H. Girisha Navada.

Invited Lectures:
 

  1. Delivered a lecture in the five-day Faculty Development Programme on “Applications of Artificial Intelligence in Electrical Engineering,” organized by the Department of Electrical and Electronics Engineering, Presidency School of Engineering, Presidency University, Bengaluru, from 28 July to 1 August 2025.
     
  2. Delivered a lecture on “Introduction to Fuzzy Logic Control” at the two-week Master Trainers Training Programme on “Advanced Electrical Systems,” held at the National Institute of Technology Karnataka (NITK), Surathkal, from 11–21 February 2025.
     
  3. Delivered a lecture on “Introduction to Artificial Intelligence and Machine Learning” at the technical talk on “Introduction to Artificial Intelligence & Machine Learning,” held at Dayananda Sagar College of Engineering, Bengaluru, on 22 March 2025.
     
  4. Delivered a lecture on “Applications of AI/ML in Power Systems & Electric Vehicles” at the five-day online Faculty Development Programme (FDP) held at Kiskinda University from 5–9 August 2024.
     
  5. Delivered a lecture on “Data Driven System Identification and Control Using Dynamic Mode Decomposition (DMD) Based on Koopman Theory” at the DST-SERB-funded five-day online workshop on “Vehicular Vibrations Control with Modern Suspension Systems,” held at NITK Surathkal, from 21–25 August 2023.
     
  6. Delivered a lecture on “Comparative Study of Various Machine Learning Approaches for Condition Monitoring of Capacitors in Power Converters” at the one-week Faculty Development Programme on “Recent Trends and Challenges in Electrical Power & Energy Systems,” held at Government College of Engineering, Keonjhar, Odisha, from 18–22 March 2024.
     
  7. Delivered a lecture on “Comparative Analysis of Different Machine Learning Techniques for Condition Monitoring of Capacitors in a SEPIC Converter” at the Faculty Development Programme on “Recent Trends on Electrical Power Systems,” held at REVA University, Bengaluru, from 12–16 February 2024.
     
  8. Delivered a lecture on “Fuzzy Logic Control and Its Applications” at the three-week Master Trainers Training Programme on “Advanced Electrical Systems,” held at NITK Surathkal, from 1–20 January 2024.
     
  9. Delivered a lecture on “Condition Monitoring of DC–DC Buck Converter Using Machine Learning” at the two-day workshop on “Fundamentals of Switching Regulators and Control Concept,” held at NMAM Institute of Technology, from 3–4 November 2022.
     
  10. Delivered a lecture on “Machine Learning Algorithm and Its Application for Condition Monitoring of SEPIC Converters” at the five-day workshop on “Power Systems and Control,” held at Vellore Institute of Technology, Chennai, from 22–26 September 2022.
     
  11. Delivered a lecture on “PV Forecasting Using Quantile Regression Averaging” at the five-day workshop on “Power Electronics and Renewable Energy Integration in Smart Grid, Electric Vehicle (PEREISGEV 2020),” held at NIT Rourkela, from 23–27 September 2020.
     
  12. Delivered a lecture on “PV Forecasting Using Time Series Analysis” at the five-day TEQIP-III workshop on “Recent Advances in Renewable Energy Integration to Modern Power System,” held at Government College of Engineering, Kalahandi, Bhawanipatna, Odisha, from 30 September to 4 October 2020.
     
  13. Delivered a lecture on “Uncertainty Analysis in Power Systems” at the five-day online AICTE Training and Learning (ATAL) Academy Faculty Development Programme on “Energy Engineering,” held at Gandhi Institute for Education and Technology (GIET), Bhubaneswar, Odisha, from 9–13 November 2020.
     
  14. Delivered a lecture on “PV Forecasting” at the five-day TEQIP-III Faculty Development Programme on “Solar Power and Its Implementation, Economical Implications in Indian Scenario,” held at Biju Patnaik University of Technology, Rourkela, from 1–5 September 2020.
     
  15. Delivered an invited lecture on “PV Forecasting Using Quantile Regression Averaging” as part of the TEQIP-III-sponsored five-day online short-term course and Faculty Development Programme on “Power Electronics and Renewable Energy Integration in Smart Grid, Electric Vehicle (PEREISGEV 2020),” organized by the Department of Electrical Engineering, National Institute of Technology (NIT) Rourkela, Odisha, from 23–27 September 2020. The lecture was delivered on 26 September 2020.
     
  16. Delivered an invited talk on “Sliding Mode Control and Its Application to Wind Turbine” in the short-term course on “Design and Analysis of Offshore Floating Wind Turbine,” held at the National Institute of Technology Karnataka (NITK), Surathkal, from 3–7 September 2019.
     
  17. Delivered a lecture on “Probabilistic Steady-State Analysis of Power Systems Integrated with PV Generations” at the five-day workshop on “Recent Challenges in Integration and Energy Management of Wind and Solar PV Generation under the Paradigm of Smart Grid,” held at the National Institute of Technology (NIT) Silchar, Assam, from 17–21 November 2018.
     
  18. Delivered a lecture on “Design of Nonlinear Controllers for Variable-Speed, Variable-Pitch Wind Turbines” at the five-day workshop on “Recent Challenges in Integration and Energy Management of Wind and Solar PV Generation under the Paradigm of Smart Grid,” held at the National Institute of Technology (NIT) Silchar, Assam, from 17–21 November 2018.
     
  19. National Workshop on “Renewable Energy Sources and Control (RESC-2012)” organized by the Department of Electrical Engineering, National Institute of Technology Karnataka (NITK), Surathkal, Mangalore, on 20–21 December 2012. Coordinators: Dr Debashisha Jena and Dr D. N. Gaonkar; Co-coordinator: Mr H. Girisha Navada.
Remarks

Detailed CV: 

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