Heungseob Kim | Innovative Research Award | Energy-efficient path planning for underwater vehicles

Published on by Network Science

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.

References

  1. Elsevier. (n.d.). Scopus author details: Heungseob Kim, Author ID 57191904084. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57191904084
  2. ORCID. (n.d.). Heungseob Kim: ORCID record 0000-0003-0090-5670. ORCID.
    https://orcid.org/0000-0003-0090-5670
  3. International Research Awards on Network Science & Graph Analytics. (n.d.). Award Website.
    https://networkscience-conferences.researchw.com/

Rahim Zahedi | Research Excellence Award | Energy Systems

Published on by Network Science

Research Excellence Award

Rahim Zahedi
University of Tehran, Iran

Rahim Zahedi
Affiliation University of Tehran
Country Iran
Scholar ID uMoggwwAAAAJ
Documents 100
Citations 5,128
h-index 38
Subject Area Energy Systems
Event International Research Awards on Network Science & Graph Analytics
ORCID 0000-0001-6837-8729

Rahim Zahedi is a researcher affiliated with the University of Tehran whose academic profile is associated with the field of Energy Systems. The supplied scholarly profile records 100 documents, 5,128 citations, and an h-index of 38, indicating an established publication and citation record in research related to energy systems and associated scientific and engineering domains. [1]

Abstract

This academic recognition profile presents Rahim Zahedi in connection with the Research Excellence Award and the International Research Awards on Network Science & Graph Analytics. Based on the supplied scholarly metrics, Zahedi has an academic record comprising 100 documents, 5,128 citations, and an h-index of 38. His identified subject area is Energy Systems, a multidisciplinary field encompassing energy conversion, infrastructure, system analysis, optimization, sustainability, and the integration of emerging technologies. [1]

Keywords

Rahim Zahedi; Research Excellence Award; University of Tehran; Energy Systems; energy research; energy-system analysis; sustainable energy; energy technology; scholarly impact; research publications; citation impact; network science; graph analytics.

Introduction

Energy systems research has become increasingly interdisciplinary as researchers address reliability, efficiency, sustainability, integration of technologies, and the changing structure of modern energy infrastructure. Within this environment, scholarly assessment commonly considers publication activity alongside citation indicators and broader research contributions. Rahim Zahedi’s supplied profile indicates a substantial scholarly record in Energy Systems, with 100 documents and 5,128 citations and an h-index of 38. [1]

Research Profile

Zahedi’s stated subject area is Energy Systems, positioning his research profile within a field that connects engineering, applied science, mathematical analysis, computational methods, and sustainable infrastructure. His institutional affiliation with the University of Tehran provides an academic setting for research and scholarly collaboration. The supplied Google Scholar identifier is uMoggwwAAAAJ, which can be used to review the available public scholarly record. [1]

  • Primary subject area: Energy Systems.
  • Institutional affiliation: University of Tehran.
  • Reported scholarly documents: 100.
  • Reported citations: 5,128.
  • Reported h-index: 38.

Research Contributions

The available information supports recognition of Zahedi’s contribution primarily through the scale and visibility of his scholarly record rather than through individual publication-level claims. A portfolio of 100 documents provides evidence of sustained research activity, while 5,128 reported citations indicate that the associated scholarly output has received substantial academic attention. [1] In the broader context of Energy Systems, such research activity can contribute to the development and assessment of analytical approaches for complex energy challenges.

Publications

The supplied data identifies 100 scholarly documents associated with the research profile. Individual article titles, journals, publication years, and DOI identifiers were not included in the source information provided for this page; therefore, no specific publication titles or DOI records are attributed to Zahedi without verification. The public Google Scholar profile provides a suitable starting point for reviewing the researcher’s publication record and citation information. [1]

Research Impact

Research impact can be considered through several complementary dimensions, including scholarly productivity, citation activity, research continuity, and relevance to an established scientific field. Zahedi’s reported 5,128 citations and h-index of 38 provide quantitative indicators of scholarly visibility within the supplied profile. [1] These indicators should be interpreted alongside publication quality, methodological contribution, collaboration, practical relevance, and independent assessment when evaluating the overall significance of research.

Award Suitability

Rahim Zahedi’s supplied academic profile is relevant to consideration for a Research Excellence Award because it combines an identified specialization in Energy Systems with a substantial reported publication and citation record. The 100 documents and h-index of 38 indicate sustained scholarly activity and measurable citation visibility. [1] Final award assessment should remain subject to the official evaluation procedures, supporting documentation, publication evidence, and independent review established by the International Research Awards on Network Science & Graph Analytics. [2]

Conclusion

Rahim Zahedi’s supplied profile represents an established research record associated with Energy Systems and the University of Tehran. With 100 reported documents, 5,128 citations, and an h-index of 38, the profile demonstrates sustained scholarly productivity and measurable academic visibility. [1] These characteristics provide a substantive basis for academic recognition while leaving detailed evaluation of individual research contributions to the relevant award review process.

References

  1. Google Scholar. (n.d.). Rahim Zahedi, Google Scholar author profile. Author ID uMoggwwAAAAJ.https://scholar.google.com/citations?user=uMoggwwAAAAJ&hl=en
  2. International Research Awards on Network Science & Graph Analytics. (n.d.). Award information and nomination website.https://networkscience-conferences.researchw.com/