Best Researcher Award
Manojkumar Chavhan
JSPM Rajarshi Shahu College of Engineering, Tathawade, India
| Manojkumar Chavhan |
| Affiliation |
JSPM Rajarshi Shahu College of Engineering, Tathawade |
| Country |
India |
| Documents |
20 |
| Citations |
911 |
| h-index |
16 |
| Subject Area |
AI Embedded BMS in EV |
| Event |
Indian Scientist Awards |
| Google Scholar ID |
5hcXH9sAAAAJ |
Manojkumar Chavhan is a researcher affiliated with JSPM Rajarshi Shahu College of Engineering, Tathawade, India. His identified research area is artificial intelligence-enabled embedded battery management systems for electric vehicles (EVs). The supplied academic profile reports 20 documents, 911 citations and an h-index of 16, indicating measurable scholarly activity. [1]
Abstract
This article presents the academic profile of Manojkumar Chavhan, affiliated with JSPM Rajarshi Shahu College of Engineering, Tathawade, India. His research interests encompass artificial intelligence and embedded battery management systems for electric vehicles. The supplied scholarly indicators include 20 documents, 911 citations and an h-index of 16. The profile is presented in connection with the Best Researcher Award and Indian Scientist Awards. [2]
Keywords
Artificial Intelligence; Embedded Systems; Battery Management Systems; Electric Vehicles; Intelligent Battery Monitoring; Battery Performance; Energy Management; Sustainable Transportation; Research Publications; Scholarly Citations; Engineering Research; Best Researcher Award. [1]
Introduction
Electric vehicle technology is advancing through improvements in intelligent monitoring, battery efficiency and embedded computing. Artificial intelligence offers opportunities for developing adaptive battery management solutions. Manojkumar Chavhan’s identified research area, AI-enabled embedded BMS in EVs, aligns with these engineering developments and addresses an important interdisciplinary research domain. [1]
Research Profile
MANOJKUMAR CHAVHAN is associated with JSPM Rajarshi Shahu College of Engineering, Tathawade, India. His stated specialization combines artificial intelligence, embedded engineering and electric vehicle battery management. The supplied Google Scholar profile reports 20 documents, 911 citations and an h-index of 16, providing indicators of his academic publication and citation activity. [1]
Research Contributions
Research involving AI-enabled embedded battery management systems can support intelligent battery monitoring, operational assessment and energy optimization in electric vehicles. This interdisciplinary field integrates computational intelligence with embedded hardware and battery technologies. Chavhan’s identified specialization reflects this research direction, with potential relevance to efficient, reliable and sustainable electric mobility solutions.
Publications
The supplied Google Scholar profile indicates 20 research documents and 911 citations, with an h-index of 16. These bibliometric indicators provide an overview of publication activity and scholarly referencing. Individual publication titles, journal details, publication years and DOI identifiers should be verified against the original academic records before inclusion in a formal bibliography. [1]
Research Impact
The reported 911 citations and h-index of 16 indicate that the researcher’s publications have received scholarly references. His specialization in AI-enabled embedded battery management connects engineering research with electric mobility challenges. Further evaluation of research impact may consider publication quality, independent citations, collaborations, practical applications and contributions to sustainable transportation technologies. [1]
Award Suitability
The reported publication count, citation record and h-index provide relevant indicators for assessing research activity in a Best Researcher Award nomination. His specialization in AI-enabled embedded battery management also represents an application-oriented engineering domain. Final award suitability should be determined through independent verification of publications, research originality, documented contributions and the official selection criteria. [2]
Conclusion
Manojkumar Chavhan’s academic profile highlights research interests in artificial intelligence, embedded systems and electric vehicle battery management. The supplied bibliometric indicators reflect an established publication and citation record. His interdisciplinary specialization addresses an evolving engineering sector. Verification of individual research outputs and documented achievements remains essential for formal academic recognition. [2]
External Links
References
- Google Scholar. (n.d.). MANOJKUMAR CHAVHAN – Google Scholar author profile. Research profile and bibliometric information. Supplied profile URL.
https://scholar.google.com/citations?hl=en&user=5hcXH9sAAAAJ
- Indian Scientist Awards. (n.d.). Indian Scientist Awards: Official website and award information. Award categories, research recognition and event information.
https://indianscientist.in/