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Dr. Rahul Soni

Assistant Professor

School: Engineering And Technology

Dr. Rahul Soni comes with an experience of 10+ years in reputed Academic Organizations like PDEU, CHARUSAT as an Assistant Professor, Visiting Faculty, and Teaching Assistant, along with that he was also associated with renowned Industries like Alstom, L&T, and T&R as a Trainee Engineer, Project Fellow and Intern prior to joining Navrachana University.  In his roles as professor/counsellor/mentor/researcher for more than 10 years, He has been fair, supportive and focused professionally of staff, students and colleagues. He fosters a relationship of mutual respect and responsibility to balance the needs with the organization and ensure his solutions are beneficial. 

Academic background/Qualification 

  • Dr. Rahul Soni has a Full Time Ph.D. Degree in Electrical Engineering (Condition Monitoring of Power Transformer) from Pandit Deendayal Energy University (PDEU) from (2020-2024). Master of Technology (Power Systems) from Pandit Deendayal Energy University (PDEU) from (2013-2015). He did his B.Tech in Electrical Engineering from CHARUSAT University from (2009-2013). 

Professional or Industrial Experience 

  • Dr. Rahul Soni was also associated with renowned Industries like Alstom, L&T, and T&R as a Trainee Engineer, Full time Research Project Fellow respectively from 2013 to 2015 

Teaching 

  • Dr. Rahul Soni has taught diversified subjects like, Elements of Electrical Engineering, Electrical Engineering Materials, Creativity, Problem Solving & Innovation, Transformers and Induction Machines, Electrical Power System-I, High Voltage Engineering, Commissioning of Electrical Equipment, Renewable Energy Engineering, Digital Electronics & Studio, Digital Computer Architecture, Professional Ethics & Human Values, Energy Audit and Management, Energy Management & Conservation, AI applications In Electrical Systems, Fuzzy Logic for Transformer Analysis, DGA diagnosis of Transformers 
  • He believes in both theoretical and practical knowledge should be utilized to understand the real world problems and provide techno effective and sustainable solution to the existing problems with creativity, problem solving and innovative solutions.

Area of Expertise and Research 

  • Primary Area: Condition Monitoring of Power Transformer, Dissolved Gas Analysis, Health Index, Partial Discharge, Alternate Dielectric Fluids, Fuzzy Logic Controller, Fuzzy C Means, ANFIS 
  • Secondary Area: Application of AI and ML in Transformer Condition Monitoring and Insulation Diagnosis and Prognosis. 

 Publications 

  • Soni, R. & Mehta. B. (2023). Condition Based Assessment & Diagnostics of Transformer in Smart Grid Network Using Adaptive Neuro Fuzzy Inference System. Springer. Smart Innovation, Systems and Technologies. Volume 372. PP 139-150. https://doi.org/10.1007/978-981-99-6774-2_13. 
  • Soni, R. & Mehta. B. (2023). A Review on Transformer Condition Monitoring with Critical Investigation of Mineral oil and Alternate Dielectric Fluids. Electrical Power Systems Research, Elsevier, SCIE: Q1, IF: 3.9. Volume 214. 108954. https://doi.org/10.1016/j.epsr.2022.108954. 
  • Soni, R. & Mehta. B. (2023). Diagnosis and Prognosis of Incipient Faults of Power Transformer Using Fuzzy Logic Controller and Fuzzy Clustering Means. Electrical Power Systems Research, Elsevier, SCIE: Q1, IF: 3.9. Volume 220. 109256. https://doi.org/10.1016/j.epsr.2022.108954. 
  • Soni, R. & Mehta. B. (2022). Condition-Based Monitoring of Power Transformer with Graphical Analysis of Incipient Faults Using Fuzzy Inference Expert System. Spinger. Lecture Notes in Electrical Engineering. Volume 1056. PP 139-150. https://doi.org/10.1007/978-981-99-3656-4_34 
  • Soni, R. & Mehta. B. (2022). Graphical examination of dissolved gas analysis by ratio methods and Duval triangle method to investigate internal faults. Materials Today, Elsevier. https://doi.org/10.1016/j.matpr.2022.02.029 
  • Soni, R. & Mehta. B. (2021). Evaluation of power transformer health analysis by internal fault criticalities to prevent premature failure using statistical data analytics approach Engineering Failure Analysis, Elsevier, SCIE:Q1, IF:4.0, Volume136. 106213. https://doi.org/10.1016/j.engfailanal.2022.106213. 
  • Soni, R. & Mehta. B. (2021). Review on asset management of power transformer by diagnosing incipient faults and faults identification using various testing methodologies,  Engineering Failure Analysis, Elsevier, SCIE:Q1, IF:4.0, Volume121. 105634. https://doi.org/10.1016/j.engfailanal.2021.105634. 

Conferences/Seminars 

  • Power Transformer Testing International Summit August (2024). 
  • Transformers Magazine’s Industry Navigator International Conference on Transformer Investment, artificial intelligence and sustainability June (2024). 
  • Sustainability outlook for the transformers industry, Transformers Magazine’s Industry Navigator conference (2022). 

Training/Workshops 

  • Condition Monitoring of Power Transformer (Dynamic Rating, Hitachi Energy,) (2022-2024). 
  • Power Transformer Webinar Series (Hitachi – ABB) (2021). 
  • Cyber Security and Advanced Metering Infrastructure (ISGF) (2020). 
  • International Testing Language (IELTS- Academics 6.5 Bands) (2019). 
  • Introduction to Smart Grid (NPTEL- IIT Roorkee) (2018). 
  • Recent advancement in transmission insulators (NPTEL-IISC Bengaluru) (2018). 

Awards/Honors  

  • Best Paper Presentation Award Winner, “Condition Based Monitoring of Power Transformer with Graphical Analysis of Incipient Faults Using Fuzzy Inference Expert System” International Conference on Advances in Data Science and Computing Technologies (ADSC-2022). 
  • Recognized and anticipated for High voltage engineering lectures and lab experiment demonstrations twice for GTU affiliated private engineering college (2018-2019). 

Professional Affiliations /Membership 

  • Technical Program Committee Member and Active Potential Reviewer of Highly Reputed International Conference of Premium Institutes, NIT’s and IIT’s and Journals like IEEE, Elsevier, Springer, Wiley etc. 
  • Member of International Association of Engineers, Hongkong, Electrical Engineering Group, New Zealand, Computer Science Teachers Association, USA. 
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