0000-0002-4535-9178 About
MRUTYUNJAYA MANGARAJ received the B.Tech (Hons.) in Electrical Engineering from Berhampur University, India in 2006. He received M.Tech in the specialization of Power System Engineering from VSSUT, Burla, India in 2010. He served as Assistant Professor in the Department of Electrical & Electronics Engineering at NIST Berhampur, India from 2010 to 2013. He obtained his Ph.D. from National Institute of Technology, Rourkela in 2018. He rejoined at NIST Berhampur for one and half years and continued as an Associate Professor in the Department of Electrical & Electronics Engineering at LIET Vizianagaram from 2019 to 2023. He is associated as Principal Investigator in SERB sponsored project under the Start-up Research Grant. He has received merit paper awards in various IEEE conferences. He has published more than one hundred research articles in both reputed Journals and conferences. Dr. Mangaraj has authored and co-authored multiple peer-reviewed scientific papers and presented works at many national and international conferences. Dr. Mangaraj contributions have acclaimed recognition from honorable subject experts around India. Dr. Mangaraj is actively associated with different societies and academics. Dr. Mangaraj academic career is decorated with several reputed awards and funding. In his research, he explores the suitability of custom power devices for performance improvement in the electric power distribution system, considering the end-users behavior and changes. He has contributed to the scientific and professional community as a journal associate editor, conference organizer, and project evaluator. Also, he has been continuing giving services as a reviewer like, IEEE, IET, Elsevier, Wiley, Springer, and Taylor & Francis, etc. His work also focuses on exploring the possibility to cater the increased demand and renewable energy sources with existing grid infrastructure. His area of research interest includes Design and modelling of d-FACTS devices with Embedded Controller and Soft computing techniques-based power control strategy for energy efficiency etc.
Employment
Employment history is unavailable.
Education
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National Institute of Technology Rourkela Ph.D2014 - 2018
Projects & Funding
Projects & funding information is unavailable.
Publications (79)
- DBLN-Based IC-DSTATCOM for Power-Line Conditioning in the Power Distribution System Save
- Solar PV integrated reduced switch UPQC for enhanced power quality in distribution system Save
- Capacity prediction of lithium-ion battery using an attention-based hybrid deep learning model Save
- Deep Learning Applications for Shunt Compensation Using LCL Filter Supported D-Statcom Save
- Deep reinforced learning-based inductively coupled DSTATCOM under load uncertainties Save
- Investigation and Design of T-Type Inverter for Power Distribution Network Save
- Realization of superconducting-magnetic energy storage supported DSTATCOM using deep Bayesian Active Learning Save
- Improvement of power quality in distribution utility using X-LMS based adaptive algorithm Save
- Realization of Superconducting- Magnetic Energy Storage Supported DSTATCOM Using DeepBayesian Active Learning Save
- Power quality enhancement in utility grid using distributed energy resources integrated BBC-VSI based DSTATCOM Save