Heungseob Kim | Stochastic Modelling | Innovative Research Award

Published on by Math Scientist

Innovative Research Award

           Heungseob Kim
Affiliation Changwon National University
Country South Korea
Scopus ID 57191904084
Documents 14
Citations 454
h-index 8
Subject Area Stochastic Modelling
Event Math Scientist Awards
ORCID 0000-0003-0090-5670

Changwon National University, South Korea

 

Heungseob Kim is a researcher from South Korea whose supplied academic profile is associated with the field of stochastic modelling. The bibliometric information provided for the researcher includes Scopus Author ID 57191904084, 454 citations, and an h-index of 8.[1]

The profile is presented in the context of the Math Scientist Awards, with research recognition considered in relation to scholarly activity, quantitative research indicators, and contributions to mathematical and stochastic modelling research. The information should be evaluated alongside official bibliographic records and the award organization’s published criteria.

Abstract

This article provides an academic recognition profile of Heungseob Kim, a South Korean researcher whose supplied subject area is stochastic modelling. The available bibliometric data report 454 citations and an h-index of 8 in association with Scopus Author ID 57191904084.[1] Stochastic modelling is an important area of mathematical and applied research concerned with representing systems and phenomena that incorporate randomness or uncertainty. The profile is considered in relation to the Math Scientist Awards and is intended as a neutral scholarly summary of the supplied information.

Keywords

Stochastic Modelling, Stochastic Processes, Probability Theory, Applied Mathematics, Mathematical Modelling, Statistical Modelling, Random Processes, Markov Processes, Time Series, Simulation, Mathematical Statistics, Computational Mathematics, Uncertainty Quantification, Risk Modelling, Dynamical Systems, Research Impact, Bibliometrics, Scopus, Citation Analysis, Math Scientist Awards.

Introduction

Stochastic modelling provides mathematical frameworks for describing systems affected by random variation and uncertainty. Stochastic models are widely used in fields including applied mathematics, statistics, engineering, finance, operations research, epidemiology, physics, and computational science. Such models can assist researchers in analyzing temporal behavior, estimating uncertainty, and evaluating possible outcomes under probabilistic assumptions.[2]

Stochastic processes form a central foundation of this research domain. Depending on the characteristics of the system under study, researchers may employ discrete- or continuous-time processes, Markov models, diffusion processes, renewal processes, queueing models, or other probabilistic frameworks.[3]

Research Profile

The supplied academic information identifies the following principal elements of Heungseob Kim’s research profile:

The supplied Scopus indicators provide a quantitative description of the researcher’s indexed scholarly visibility. Citation counts and h-index values may change over time as databases are updated and additional publications and citations are indexed.[1]

Research Contributions

Research in stochastic modelling commonly focuses on the formulation, analysis, simulation, and application of mathematical models incorporating random behavior. These approaches can be used to describe uncertain systems and to investigate probabilistic relationships among variables over time.[2]

Potential areas associated with stochastic modelling include stochastic differential equations, Markov processes, queueing theory, reliability analysis, stochastic optimization, Monte Carlo simulation, statistical inference, and uncertainty quantification. The specific contributions attributable to individual publications should be determined from the original scholarly records rather than inferred solely from the subject-area classification.

Publications

The supplied information identifies Heungseob Kim through Scopus Author ID 57191904084. A complete verified bibliography would require access to the corresponding Scopus author record or individual publication records. Such records can provide publication titles, journals, publication years, co-authors, citation counts, and DOI identifiers.[1]

Research Impact

The supplied bibliometric profile reports 454 citations and an h-index of 8. These indicators demonstrate that the researcher’s indexed scholarly output has received citations within the literature and that the profile has measurable bibliometric visibility.[1]

Bibliometric indicators should be interpreted within their disciplinary and database context. Citation behavior varies substantially among research fields, publication types, journals, and time periods. Accordingly, citation counts and h-index values are useful descriptive measures but should be considered together with research originality, methodological quality, publication venues, and broader scholarly contributions.

Award Suitability

The Math Scientist Awards constitute the stated recognition context for this profile. The supplied evidence identifies a Scopus-indexed researcher with a documented research area in stochastic modelling, 454 reported citations, and an h-index of 8. These indicators may be relevant to an academic recognition process, subject to the official eligibility requirements, nomination procedures, and evaluation standards of the awarding organization.

Conclusion

Heungseob Kim is presented in the supplied academic information as a South Korean researcher associated with stochastic modelling. The reported Scopus profile contains 454 citations and an h-index of 8. These bibliometric measures provide evidence of indexed scholarly visibility and can serve as part of a broader assessment of academic activity. A comprehensive evaluation of research excellence should additionally consider the content, originality, rigor, and significance of the researcher’s publications.[1]

References

  1. Mixed-Integer Linear Programming Model for Scheduling Missions and Communications of Multiple Satellites, https://doi.org/10.3390/aerospace11010083
  2. Parallel Genetic Algorithm with Knowledge Archives for the Redundancy Allocation Problem in a Mixed Redundant System, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4283392
  3. Lifetime Distribution for a Mixed Redundant System with Imperfect Switch and Components Having Phase–Type Time-to-Failure Distribution, https://www.mdpi.com/2227-7390/12/8/1191
  4. Enhancing decision knowledge by developing a quantitative framework for holistic exploratory acquisition policy analysis, https://incose.onlinelibrary.wiley.com/doi/10.1002/sys.21632
  5. Markov-based reliability model for a mixed redundant system and parallel genetic algorithm with knowledge archives for a redundancy allocation problem, https://www.sciencedirect.com/science/article/abs/pii/S0951832023004994?via%3Dihub

Jyh-Haw Tang | Computational Mathematics | Numerical Analysis Research Award

Published on by Math Scientist

Prof. Jyh-Haw Tang | Computational Mathematics | Numerical Analysis Research Award

Professor | Chung Yuan Christian University | Taiwan

Prof. Jyh-Haw Tang is a Professor of Civil Engineering at Chung Yuan Christian University, Taiwan, specializing in computational fluid dynamics (CFD), hydraulics, and thermal and mass transfer. His research focuses on numerical simulation of fluid flows, surface irrigation systems, scour and sediment transport, and fluid–structure interactions, with applications in water resources engineering, environmental systems, and smart infrastructure.

Citation Metrics (Google Scholar)

300

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75

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Citations
265

Publications
30+

h-index
6

                       ■ Citations                ■ Publications                ■ h-index


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Alain Sarkissian | Numerical Analysis | Research Excellence Award

Published on by Math Scientist

Prof. Alain Sarkissian | Numerical Analysis | Research Excellence Award

Research Fellow | LATMOS / UVSQ / CNRS | France

Prof. Alain Sarkissian is a distinguished researcher in atmospheric physics, space science, and remote sensing. His work focuses on satellite-based and ground-based observations of Earth’s radiation budget, atmospheric composition, and cloud and water vapor characterization. He has made significant contributions to the calibration and validation of space instruments, particularly through CubeSat missions, lidar measurements, and climate data analysis, supporting accurate monitoring of climate variability and long-term environmental change.

Citation Metrics (Scopus)
1000

750

500

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0

Citations
999

Documents
73

h-index
16


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Featured Publications

George Efthimiou | Mathematical Engineering | Best Researcher Award

Published on by Math Scientist

Dr. George Efthimiou | Mathematical Engineering | Best Researcher Award

Research scientist | FLUENC | Greece

Dr. George C. Efthimiou is a distinguished researcher specializing in Computational Fluid Dynamics (CFD), environmental modeling, and exposure prediction in urban and industrial environments. He earned his Ph.D. in Mechanical Engineering (2013) from the University of Western Macedonia, Greece, where his doctoral work focused on the Prediction of Individual Exposure using Computational Fluid Dynamics Modelling under the supervision of Professor John G. Bartzis.

His multidisciplinary background, combining energy resource management and mechanical engineering, underpins a career devoted to advancing sustainability, atmospheric dispersion modeling, and risk assessment methodologies.

Dr. Efthimiou has held key research positions at leading Greek institutions, including:

  • Postdoctoral Research Fellow at the Nuclear & Radiological Sciences & Technology, Energy & Safety Division, N.C.S.R. DEMOKRITOS (2014–2019)

  • Research Associate at the Sustainability Engineering Laboratory (SEL), Aristotle University of Thessaloniki (2019–2024)

  • Research Scientist at the Advanced Renewable Technologies & Environmental Materials in Integrated Systems Laboratory, Centre for Research and Technology – Hellas (CERTH)

His scientific contributions span urban air quality modeling, hazardous pollutant dispersion, exposure assessment, and renewable energy systems. His studies have provided validated methodologies for predicting human exposure to airborne hazards and have influenced policy and safety assessments in both industrial and environmental contexts.

Dr. Efthimiou’s research has been featured in international conferences and peer-reviewed journals such as Toxics, Fluids, and the Journal of Hazardous Materials Advances, highlighting his role in bridging theoretical modeling with practical environmental applications.

Profiles: Scopus | Orcid | Google Scholar 

Featured Publications

  1. Efthimiou, G. C., Barmpas, F., Tsegas, G., & Moussiopoulos, N. (2021). Development of an algorithm for prediction of the wind speed in renewable energy environments. Fluids, 6(12), 461.
    Citations: 6

  2. Efthimiou, G. C., Andronopoulos, S., Venetsanos, A., Kovalets, I. V., & Kakosimos, K. (2016). Modification and validation of a method for estimating the location of a point stationary source of passive non-reactive pollutant in an urban environment. In Proceedings of the 17th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes (HARMO 2016).
    Citations: 6

  3. Efthimiou, G. C., Bartzis, J. G., Berbekar, E., Hertwig, D., Harms, F., & Leitl, B. (2015). Modelling short-term maximum individual exposure from airborne hazardous releases in urban environments. Part II: Validation of a deterministic model with wind tunnel experiments. Toxics, 3(3), 259–267.
    Citations: 6

  4. Bartzis, J. G., Sakellaris, I. A., & Efthimiou, G. C. (2022). On exposure uncertainty quantification from accidental airborne point releases. Journal of Hazardous Materials Advances, 6, 100080.
    Citations: 5

  5. Mertzanis, A., Goudelis, G., Efthimiou, G., & Kontogianni, A. (2010). The impact to the environment and the geomorphological processes as a result of human activity in littoral and inland wetlands in Greece. In Proceedings of the International Conference on Protection and Restoration of the Environment.
    Citations: 7