Innovative Research Award
Heungseob Kim
Changwon National University,
| Heungseob Kim | |
|---|---|
| Affiliation | Changwon National University |
| Country | South Korea |
| Scopus ID | 57191904084 |
| Documents | 14 |
| Citations | 455 |
| h-index | 8 |
| Subject Area | Energy-efficient path planning for underwater vehicles |
| Event | International Research Awards on Network Science & Graph Analytics |
| ORCID | 0000-0003-0090-5670 |
The available bibliographic profile records 14 documents, 455 citations, and an h-index of 8 for the researcher. These indicators provide a quantitative context for assessing research visibility and scholarly influence, while the specific scientific contribution is considered in relation to the scope, originality, and relevance of the underlying work. [1]
Abstract
This article presents an academic recognition profile for Heungseob Kim, affiliated with Changwon National University in South Korea. His stated subject area concerns energy-efficient path planning for underwater vehicles, an interdisciplinary research direction combining network-oriented computational methods, autonomous navigation, optimization, and energy-aware decision-making. The profile records 14 documents, 455 citations, and an h-index of 8 according to the supplied Scopus information. [1] The recognition is associated with the International Research Awards on Network Science & Graph Analytics.
Keywords
Heungseob Kim, Innovative Research Award, Changwon National University, South Korea, underwater vehicles, energy-efficient path planning, autonomous navigation, path planning, network science, graph analytics, computational optimization, marine robotics, energy-aware navigation, research recognition.
Introduction
Energy-efficient path planning is an important research problem for underwater vehicles because autonomous systems operating in marine environments must balance navigation objectives with limited energy resources. Path-planning approaches may incorporate environmental constraints, vehicle dynamics, mission objectives, and computational considerations. Within this context, research on efficient navigation can contribute to the development of more sustainable and reliable autonomous underwater systems.
Network science and graph analytics provide methodological frameworks for representing interconnected environments, routes, states, and decision alternatives. Their application to navigation and optimization can support structured analysis of complex movement problems and enable algorithms to identify feasible and efficient paths.
Research Profile
Heungseob Kim is affiliated with Changwon National University, South Korea. The supplied research profile identifies energy-efficient path planning for underwater vehicles as a principal subject area. This field connects autonomous vehicle navigation with optimization and energy management, particularly where mission duration, route feasibility, and operational efficiency must be considered together.
The available bibliometric information indicates 14 indexed documents, 455 citations, and an h-index of 8. [1] His ORCID identifier is 0000-0003-0090-5670, providing a persistent researcher identifier for distinguishing scholarly work associated with the profile. [2]
Research Contributions
The identified research direction can be considered through several interconnected contribution areas:
- Development and evaluation of energy-aware approaches to underwater vehicle path planning.
- Application of computational optimization to route selection under operational constraints.
- Integration of navigation efficiency with the practical limitations of autonomous underwater platforms.
- Potential use of network and graph-based representations for modeling alternative navigation paths and connected operational states.
These areas are relevant to marine robotics and autonomous systems research because energy consumption directly affects endurance, mission planning, and operational reliability. The assessment of individual contributions should, however, be based on the documented publications and their methodological evidence rather than bibliometric indicators alone.
Publications
The supplied profile reports 14 documents indexed in Scopus. [1] Because individual publication titles, journal information, publication years, and DOI identifiers were not provided in the source data for this article, no specific DOI has been assigned or inferred. This approach avoids introducing unverifiable bibliographic information.
For authoritative publication-level information, readers should consult the researcher’s Scopus author profile and ORCID record listed in the External Links section. These sources can be used to verify publication metadata, authorship, citation records, and persistent researcher identification.
Research Impact
The reported citation count of 455 and h-index of 8 provide measurable indicators of scholarly visibility within the indexed literature. [1] In the context of underwater vehicle research, energy-efficient path planning has potential relevance to autonomous marine exploration, inspection, monitoring, and other applications where vehicle endurance and route efficiency are important considerations.
The broader significance of the research area lies in its intersection of computational intelligence, optimization, autonomous systems, and marine engineering. Continued development of efficient planning methods may contribute to more effective utilization of limited onboard energy resources and improved mission-level decision-making.
Award Suitability
Heungseob Kim’s stated research specialization aligns conceptually with an innovation-focused research recognition because energy-efficient path planning addresses a practical and technically demanding problem in autonomous underwater systems. The combination of navigation, optimization, energy management, and network-oriented analytical methods provides a relevant interdisciplinary foundation for consideration under the Innovative Research Award.
The available bibliometric profile further establishes a documented body of indexed research, with 14 documents, 455 citations, and an h-index of 8. [1] Final award evaluation should appropriately consider originality, methodological rigor, publication quality, demonstrated research outcomes, and the relevance of the candidate’s work to the award’s stated criteria.
Conclusion
Heungseob Kim’s academic profile reflects research activity at the intersection of energy-efficient path planning and underwater vehicle systems. His affiliation with Changwon National University, documented Scopus profile, and persistent ORCID identifier provide a basis for scholarly verification. [1] [2] The identified research area is relevant to ongoing efforts to improve the efficiency and autonomy of marine robotic systems, making it appropriate for consideration within a research recognition framework focused on innovation.
External Links
- ORCID Profile: https://orcid.org/0000-0003-0090-5670
- Scopus Author Profile: https://www.scopus.com/authid/detail.uri?authorId=57191904084
- Award Website: https://networkscience-conferences.researchw.com/
References
- Elsevier. (n.d.). Scopus author details: Heungseob Kim, Author ID 57191904084. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=57191904084 - ORCID. (n.d.). Heungseob Kim: ORCID record 0000-0003-0090-5670. ORCID.
https://orcid.org/0000-0003-0090-5670 - International Research Awards on Network Science & Graph Analytics. (n.d.). Award Website.
https://networkscience-conferences.researchw.com/