Innovative Research Award
Sushovan Khatua
SRM University AP, India
Sushovan Khatua is a researcher affiliated with SRM University AP, India, whose scholarly work primarily focuses on path planning and intelligent computational methodologies. His research reflects an interdisciplinary approach that combines optimization techniques with practical engineering applications, contributing to the advancement of modern computational systems.[1]
Abstract
This article summarizes the academic profile of Sushovan Khatua and highlights his research achievements in path planning and computational intelligence. His scholarly output demonstrates consistent engagement with innovative engineering research supported by indexed publications and measurable citation impact.[1]
Keywords
Path Planning, Computational Intelligence, Optimization Algorithms, Autonomous Systems, Artificial Intelligence, Engineering Research, Navigation Systems, Intelligent Computing, Robotics, Environmental Applications.
Introduction
Modern path planning research supports autonomous navigation, robotics, and intelligent decision-making across numerous engineering domains. The work of Sushovan Khatua contributes to these developments through computational techniques designed to improve efficiency and reliable system performance.[2]
Research Profile
Affiliated with SRM University AP, Sushovan Khatua has established a research profile supported by nine Scopus-indexed publications, forty-six citations, and an h-index of four. His academic interests emphasize intelligent algorithms, optimization strategies, and computational modeling for practical engineering challenges.[1]
Research Contributions
His contributions explore efficient navigation strategies and algorithmic optimization capable of supporting autonomous systems and advanced computational environments. These studies encourage scalable, accurate, and adaptable approaches applicable across multidisciplinary engineering research.[3]
Publications
The research record includes peer-reviewed publications indexed in Scopus and recognized within international academic literature. These publications demonstrate continuous scholarly activity and contribute to knowledge dissemination in computational and engineering sciences.[1]
Research Impact
Citation performance and publication metrics indicate that the research has received recognition from the scientific community. The documented impact reflects meaningful academic engagement and supports the relevance of his work within evolving computational research fields.[4]
Award Suitability
Considering his documented publication record, citation profile, and sustained research contributions, Sushovan Khatua demonstrates characteristics consistent with recognition through the International Environmental Scientists Award. His work reflects academic quality, innovation, and ongoing scientific engagement.[5]
Conclusion
The available academic indicators present a balanced overview of a researcher actively contributing to computational and path planning research. Continued publication activity and collaboration are expected to further strengthen the visibility and influence of his scholarly achievements.
External Links
References
- Elsevier. (n.d.). Scopus author details: Sushovan Khatua, Author ID 58791950900. Scopus.
https://www.scopus.com/pages/authors/58791950900
- Google Scholar. (n.d.). Research profile of Sushovan Khatua.
https://scholar.google.com/citations?user=NxiYdiYAAAAJ&hl=en&oi=sra
- Elsevier. (2022). Engineering optimization research.
DOI:
https://doi.org/10.1016/j.eswa.2022.118543
- International Environmental Scientists Award. (n.d.). Award nomination and evaluation information.
https://environmentalscientists.org/
- A federated learning model for integrating sustainable routing with the Internet of Vehicular Things using genetic algorithm.
https://www.sciencedirect.com/science/article/pii/S2772662224000900