ELECTRICAL AND ELECTRONICS ENGINEERING

Dr. Koduru Sriranga Suprabhath

Dr. Koduru Sriranga Suprabhath

Assistant Professor
srirangasuprabhath.k@bvrithyderabad.edu.in

AICTE ID: –
JNTUH ID: –
Ratified Status: –

Ph.D.: Design and Development of Cyber Attack Detection and Mitigation Schemes in DC Microgrid Systems, Mahindra University, 2023
M.Tech.: Gokaraju Rangaraju Institute of Engineering and Technology (JNTUH), 2019
B.Tech.: Gandhi Institute of Technology and Management Hyderabad, 2016

Teaching Experience: 03 Years
Research Experience: 5 Years
Industry Experience: Nil

Scopus ID:  57542624100
WoS ID: –
Google Scholar ID:   fBqWJ8wAAAAJ
Vidwan ID: 655513
ORCID ID: 0000-0001-5713-2950

Cyber Physical Systems, Artificial Intelligence, EV Charging infrastructure, Deep Learning applications in Power Systems

UGC NET Qualification as Assistant Professor

Nil

  1. S. Suprabhath, M. V. S. Prasad, S. Madichetty and S. Mishra, “Standalone Deployment of Two-Fold Deep Neural Network in Distributed DC Microgrid—FDIA Detection and Mitigation Scheme,” in IEEE Journal of Emerging and Selected Topics in Industrial Electronics, vol. 6, no. 1, pp. 204-214, Jan. 2025, doi: 10.1109/JESTIE.2024.3451720.
  2. S. Suprabhath, M. V. S. Prasad, S. Madichetty and S. Mishra, “A Deep Learning Based Cyber Attack Detection Scheme in DC Microgrid Systems,” in CPSS Transactions on Power Electronics and Applications, vol. 8, no. 2, pp. 119-127, June 2023, doi: 10.24295/CPSSTPEA.2023.00012
  3. S. Koduru, V. S. P. Machina, S. Madichetty and S. Mishra, “Securing DC Microgrids Against Cyber-Attacks: Hybrid Physics-Informed Neural Network Control Strategy with Real-Time Implementation,” in IEEE Journal of Emerging and Selected Topics in Power Electronics, doi: 10.1109/JESTPE.2025.3574175
  4. V. S. Prasad, K. S. Suprabhath, S. Madichetty, S. Mishra and A. El Kamel, “Design and Implementation of Model Parameter Independent Robust Current Control Scheme of Three-Phase Inverter – A Neural Network-Based Classification Approach,” in CPSS Transactions on Power Electronics and Applications, vol. 9, no. 2, pp. 166-174, June 2024, doi: 10.24295/CPSSTPEA.2023.00052
  5. S. P. Machina, S. S. Koduru, S. Madichetty, S. Mishra and A. E. Kamel, “Sensor Attack Detection and Mitigation Using Hybrid Physics Informed Neural Networks – A Real-Time Implementation for DC-DC Converter,” in IEEE Transactions on Industry Applications, vol. 60, no. 4, pp. 5702-5713, July-Aug. 2024, doi: 10.1109/TIA.2024.3383806
  6. S. P. Machina, S. S. Koduru, S. Madichetty and S. Mishra, “A Novel Standalone Implementation of MDNN Controller for DC-DC Converter Resilient to Sensor Attacks—A Design Approach,” in IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 11, no. 3, pp. 2805-2815, June 2023, doi: 10.1109/JESTPE.2023.3242299.
  7. K. N B, S. Madichetty, S. S. Koduru, M. V. S. P. Chowdary and S. Mishra, “Finding a Faulty/Partially Shaded Panel in an Solar Photovoltaic Array: A Novel and Instantaneous Additional Hardware Module-Based Technique,” in IEEE Industry Applications Magazine, vol. 31, no. 1, pp. 73-85, Jan.-Feb. 2025, doi: 10.1109/MIAS.2024.3482872
  8. Madichetty, M. V. S. Prasad, K. S. Suprabhath, R. Anchuri and S. Mishra, “Deep Learning Defined Power Electronic Converters,” in IEEE Power Electronics Magazine, vol. 10, no. 4, pp. 39-46, Dec. 2023, doi: 10.1109/MPEL.2023.3328164
  9. K. N B, S. Madichetty, S. Suprabhath Koduru, M. V. Siva Prasad Chowdary and S. Mishra, “Finding a Faulty/Partially Shaded Panel in an Solar Photovoltaic Array: A Novel and Instantaneous Additional Hardware Module-Based Technique,” in IEEE Industry Applications Magazine, doi: 10.1109/MIAS.2024.3482872.
  10. Koduru, S., Machina, S.P., Madichetty, S. et al. Data-Driven Solutions for Next-Generation Automotive Cybersecurity. Trans Indian Natl. Acad. Eng (2024). https://doi.org/10.1007/s41403-024-00491-6
  11. K, K.K., Nutakki, M., Koduru, S. et al. Quantum support vector machine for forecasting house energy consumption: a comparative study with deep learning models. J Cloud Comp 13, 105 (2024). https://doi.org/10.1186/s13677-024-00669-x
  12. Machina, V. S. P., Madichetty, , Koduru, S. S., Banda, M. K., \& Mishra, S. (2023). Detection and mitigation of false data injection attack in DC–DC synchronous boost converter: A real‐time implementation using shallow neural network model. IET Power Electronics.
  13. Suprabhath Koduru, S.; Machina, V.S.P.; Madichetty, S. Cyber Attacks in Cyber-Physical Microgrid Systems: A Comprehensive Review. Energies 2023, 16, 4573. https://doi.org/10.3390/en16124573.
  1. S. P. Machina, S. S. Koduru, S. Madichetty and S. Mishra, “Enhancing Cyber Security in DC Microgrids with Intelligent Control Against False Data Injection Attacks,” 2024 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), Mangalore, India, 2024, pp. 1-6, doi: 10.1109/PEDES61459.2024.10961350
  2. S. Prasad Machina, S. S. Koduru, S. Madichetty and S. Mishra, “Real-Time Man in the Middle Attack Detection and Mitigation in Cyber-Physical Systems Using Neural Networks and Remote Monitoring,” 2024 23rd National Power Systems Conference (NPSC), Indore, India, 2024, pp. 1-6, doi: 10.1109/NPSC61626.2024.10986849.
  3. S. Koduru, V. S. P. Machina, S. Madichetty and S. Mishra, “RUL Prediction in Safety-Critical Systems: Simplifying Complexity with ML,” 2024 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), Bangalore, India, 2024, pp. 1-6, doi: 10.1109/CONECCT62155.2024.10677118.
  4. S. Koduru, V. S. P. Machina and S. Madichetty, “Real-Time Implementation of Deep Learning Technique in Microcontroller-Based DC-DC Boost Converter- A Design Approach,” 2022 IEEE Delhi Section Conference (DELCON), 2022, pp. 1-6, doi: 10.1109/DELCON54057.2022.9753325.
  5. S. Koduru, V. S. Prasad Machina and S. Madichetty, “A Review on Forecasting Models and Anomaly Detection for Household Energy Consumption,” 2022 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON), Bangalore, India, 2022, pp. 1-6, doi: 10.1109/SMARTGENCON56628.2022.10084068.
  6. S. P. Machina, S. S. Koduru, S. Madichetty and S. Mishra, “An Efficient Neural Network Classifier Design for Detection of FDI attacks in Cyber-Physical Systems,” IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society, Singapore, Singapore, 2023, pp. 1-6, doi: 10.1109/IECON51785.2023.10312017.
  7. P. C. Machina, S. S. Koduru and S. Madichetty, “Solar Energy Forecasting Using Deep Learning Techniques,” 2022 2nd International Conference on Power Electronics \& IoT Applications in Renewable Energy and its Control (PARC), 2022, pp. 1-6, doi: 10.1109/PARC52418.2022.9726605.
  8. S. P. Machina, K. S. Suprabhath and S. Madichetty, “Fault Detection in Solar Photovoltaic Systems During Winter Season- A Deep Learning Approach,” 2022 IEEE Texas Power and Energy Conference (TPEC), 2022, pp. 1-6, doi: 10.1109/TPEC54980.2022.9750828. (extended for journal)
  9. K. Banda, S. S. Koduru, V. S. Prasad Machina and S. Madichetty, “A Deep Learning Based Cyber Attack Detection and Mitigation Scheme in Synchronous Buck Converter,” 2022 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), Jaipur, India, 2022, pp. 1-6, doi: 10.1109/PEDES56012.2022.10080803.
  10. S. P. Machina, S. S. Koduru, S. Madichetty and S. Mishra, “Design of ANN Based Controller for Cyberattack Detection in DC-DC Buck Converter,” 2022 22nd National Power Systems Conference (NPSC), New Delhi, India, 2022, pp. 460-464, doi: 10.1109/NPSC57038.2022.10068889.
  11. K. Singh and K. S. Suprabhath, “HAR Using Bi-directional LSTM with RNN,” 2021 International Conference on Emerging Techniques in Computational Intelligence (ICETCI), 2021, pp. 153-158, doi: 10.1109/ICETCI51973.2021.9574073.
  12. Nutakki and K. S. Suprabhath, “Relay Coordination with Delay Latency for a LMI based LFC Model,” 2020 International Conference on Inventive Computation Technologies (ICICT), 2020, pp. 985-988, doi: 10.1109/ICICT48043.2020.9112402.
  13. S. S. Koduru, V. S. P. Machina, S. Madichetty and S. Mishra, “A Robust Data Driven FDI attack Detection Framework for Inverter based Microgrids,” 2025, 1st International Conference on Power Electronic Converters for Transportation and Energy Applications (PECTEA), Bhubaneswar, India, 2025. (Accepted)
  1. Sreedhar Madichetty, Koduru Sriranga Suprabhath, Machina Venkata Siva Prasad, ” Design of data-driven unified controller for control and cyber attack detection & mitigation in power electronic converters”, Indian Patent Application No. 202341087896, Published on 12/01/2024.
  2. Sreedhar Madichetty, Koduru Sriranga Suprabhath , Machina Venkata Siva Prasad, Banda Mohan Krishna ” Twin neural network based detection and mitigation of false data injection attacks on DC-DC converters”, Indian Patent Application No. 202341087895, Published on 12/01/2024.

ANRF Sponsored National Post Doctorate Fellowship.

Title: Design, Development, and Standalone Implementation of Discrete Power Electronic Systems using Physics-Informed Neural Networks.

File No: PDF/2023/001836

PI: Dr. Koduru Sriranga Suprabhath ; Mentor: Prof. Sukumar Mishra

IEEE

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Conferences Attended

  1. 2024 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES).
  2. 23rd National Power Systems Conference (NPSC), Indore, India, 2024.
  3. 2022 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES).
  4. 22nd National Power Systems Conference (NPSC).
  5. 2021 International Conference on Emerging Techniques in Computational Intelligence (ICETCI).
  6. 1st International Conference on Power Electronic Converters for Transportation and Energy Applications (PECTEA).
  7. The third International Conference on Cyber physical Systems, power electronics and Electric Vehicles- ICPEEV 2025.

Nil