Dr. Krishnama Raju Suraparaju
Brief Bio
| Brief Bio |
|---|
| Dr. Krishnama Raju is an Assistant Professor in the Department of Electrical Engineering, with a specialization in Control Systems. He holds both M.Tech and Ph.D. degrees in Control Systems, and has a strong passion for applying advanced control and machine learning techniques to modern power and energy systems. |
| His current research focuses on the application of Machine Learning and Reinforcement Learning to Power Electronic Converters and Microgrids, aiming to develop intelligent and adaptive control strategies for real-world energy systems. He has also worked extensively on fuzzy logic-based control for renewable energy systems, particularly in Wind energy integration. |
| He is keen to mentor motivated undergraduate and postgraduate students interested in control systems, power electronics, and AI-based energy solutions. His research group actively explores innovative ideas that bridge theory with practical implementation, using hardware-in-the-loop (HIL) systems. |
| If you’re enthusiastic about shaping the future of smart and sustainable energy through advanced control and learning algorithms, you are welcome to join his research group. |
Education
| Degree | Year | Specialization | University |
|---|---|---|---|
| AMIE(UG) | 2005 | Electrical Engineering | Institution of Engineers(India) |
| M.Tech | 2011 | Control systems Engineering | IIT Kharagpur |
| Ph.D. | 2016 | Electrical Engineering | IIT Roorkee |
| PostDoc | 2019 | Hybrid Electric Vehicles | University of Warwick, UK |
Contact Details
| Phone: | Email: | Address: |
|---|---|---|
| (+91-712-280-2228) | krs@eee.vnit.ac.in; skrajuvnit@gmail.com | 211, New Academic Building, VNIT Nagpur |
Research Interest
| Research Interest |
|---|
| 1. Application of Artificial Intelligence to Electrical Systems especially Power Electronics and Microgrid Control |
| 2. Control Systems |
- Sponsored Research Projects
- Consultancy Projects
- Book or Book Chapters
- Patents
- STTP & Workshop
- Administrative Responsibilities
- Awards & Honors
- Conference Publications
- Journal Publications
| Sr. No. | Title | Funding Agency | Role | Year | Amount (in Lakhs INR) |
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| Sr. No. | Title | Funding Agency | Role | Year | Amount (in Lakhs INR) |
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| Description | Author(s) | Publisher | ISBN | Year |
|---|---|---|---|---|
| Krishnama Raju, S. (2023). Application of Type-2 Fuzzy Logic Controllers in Renewable Energy Systems. In: Castillo, O., Kumar, A. (eds) Recent Trends on Type-2 Fuzzy Logic Systems: Theory, Methodology and Applications. Studies in Fuzziness and Soft Computing, vol 425. | Krishnama Raju, S.,Castillo, O., Kumar, A. | Springer, Cham | Online ISBN978-3-031-26332-3; Print ISBN978-3-031-26331-6 | 2023 |
| Sr. No. | Patent Title | Application No. | Date | Present Staus |
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| Title | Funding Agency | Host Institute | Dates | No. of Participants |
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| Year | Awards |
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| S.No. | Paper Citation |
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| 1 | L. Goyal, P. Dave, A. Dhabale and S. Krishnama Raju, “A Two Stage Approach of Route Planning for UAVs in Logistic Distribution,” 2024 International Conference on Futuristic Technologies in Control Systems & Renewable Energy (ICFCR), Malappuram, India, 2024, pp. 1-6, doi: 10.1109/ICFCR64128.2024.10763026. |
| 2 | A. Singhal, H. M. Suryawanshi, K. R. Suraparaju, P. P. Nachankar, D. Govind and C. L. Narayana, “An Improved Dual Fixed Frequency SOGI-PLL For Three-phase Grid-Connected Converter Under Unbalanced Condition,” 2022 IEEE IAS Global Conference on Emerging Technologies (GlobConET), Arad, Romania, 2022, pp. 687-691, doi: 10.1109/GlobConET53749.2022.9872473. |
| 3 | R. Bhandare, K. Vaidya and K. R. Suraparaju, “Grid Synchronization using Machine Learning,” 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon), Mysuru, India, 2022, pp. 1-6, doi: 10.1109/MysuruCon55714.2022.9972611. |
| S.No. | Paper Citation |
|---|---|
| 1 | S. Krishnama Raju and G. N. Pillai, “Design and Implementation of Type-2 Fuzzy Logic Controller for DFIG-Based Wind Energy Systems in Distribution Networks,” IEEE Transactions on Sustainable Energy, vol. 7, no. 1, pp. 345–353, 2016. https://doi.org/10.1109/TSTE.2015.2496170 (ISSN/ISBN : 1949-3029 |
| 2 | S. Krishnama Raju and G. N. Pillai, “Design and real time implementation of type-2 fuzzy vector control for DFIG based wind generators,” Renewable Energy, vol. 88, pp. 40–50, Apr. 2016. https://doi.org/10.1016/j.renene.2015.11.006 ( ISSN/ISBN : 0960-1481 |
| 3 | S Krishnama Raju and GN Pillai, “Type-2 Fuzzy Logic based Robust Control Strategy for Power Sharing in Microgrids with Uncertainties in Operating conditions,” International Transaction on Electrical Energy Systems,27(4),pp. 2294, 2017. https://doi.org/10.1002/etep.2294 (ISSN/ISBN : 2050-7038 |
| 4 | Shihabudheen KV, Raju SK, Pillai GN. “Control for grid‐connected DFIG‐based wind energy system using adaptive neuro‐fuzzy technique“, International transactions on electrical energy systems. 2018 May;28(5):e2526, https://doi.org/10.1002/etep.2526 |
| 5 | Shihabudheen KV, Pillai GN, Krishnama Raju S. “Neuro-Fuzzy Control of DFIG Wind Energy System with Distribution Network“, Electric Power Components and Systems. 2018 Aug 9;46(13):1416-31, ISSN/ISBN:1532-5016 |