Best Researcher Award

Stanislaw Dubiel – AGH University of Krakow

Stanislaw Dubiel, affiliated with AGH University of Krakow, Poland, is presented in this academic recognition profile in relation to research activity in Data Analysis. The profile summarizes the researcher information supplied for the International Research Data Analysis Excellence & Awards, including bibliometric indicators, research-area information, and relevant scholarly profile links.

Stanislaw Dubiel
Affiliation	AGH University of Krakow
Country	Poland
Scopus ID	7003846402
Documents	214
Citations	2,656
h-index	25
Subject Area	Data Analysis
Event	International Research Data Analysis Excellence & Awards
ORCID	0000-0002-8781-7843

Contents

Abstract
Keywords
Introduction
Research Profile
Research Contributions
Publications
Research Impact
Award Suitability
Conclusion
External Links
References

Abstract

This academic recognition article profiles Stanislaw Dubiel of AGH University of Krakow, Poland, with a stated research focus in Data Analysis. The supplied scholarly indicators comprise 214 documents, 2,656 citations, and an h-index of 25, together with a Scopus Author ID of 7003846402. These indicators are presented as bibliometric information associated with the supplied researcher profile and should be interpreted in the context of database coverage, indexing practices, publication chronology, and citation accumulation. [1]

Keywords

Stanislaw Dubiel; Best Researcher Award; Data Analysis; AGH University of Krakow; Poland; Research Data Analysis; Bibliometrics; Scientific Research; Scopus; ORCID; Research Impact; Scholarly Publications; Citation Analysis; Research Recognition.

Introduction

Research recognition based on bibliometric information commonly considers indicators such as publication output, citation counts, and h-index values alongside qualitative assessments of research contribution. Such measures provide useful quantitative context but do not independently establish the significance, originality, or societal value of individual research contributions. [1]

Research Profile

Stanislaw Dubiel is identified in the supplied information as a researcher affiliated with AGH University of Krakow in Poland. The stated subject area is Data Analysis, indicating an academic orientation toward analytical approaches for processing, interpreting, and evaluating research data. The supplied Scopus identifier is 7003846402, while the supplied ORCID identifier is 0000-0002-8781-7843. [1] [2]

Research Contributions

The reported publication and citation indicators suggest an established indexed research record. In evaluating such a record, quantitative measures can be complemented by consideration of publication quality, methodological rigor, reproducibility, interdisciplinary relevance, collaboration, and the practical or scientific significance of research findings. [1]

Publications

The supplied input does not provide an itemized publication bibliography for Stanislaw Dubiel. Accordingly, individual article titles, journals, publication years, author lists, and DOI identifiers are not reproduced here to avoid attributing publications without source verification. The complete indexed publication record can be consulted through the supplied Scopus author profile, where available. [1]

Research Impact

The supplied bibliometric record reports 2,656 citations and an h-index of 25 across 214 documents. Citation-based indicators can help describe the visibility and reception of a research record within indexed scholarly literature, although citation counts may vary between databases and should not be interpreted as a complete measure of research quality or societal impact. [1]

Award Suitability

Based solely on the information supplied for this article, Stanislaw Dubiel presents a profile with a documented institutional affiliation, a defined research area in Data Analysis, an identified Scopus author record, an ORCID identifier, and reported bibliometric indicators of 214 documents, 2,656 citations, and an h-index of 25. These elements may provide relevant evidence for consideration in a research recognition process. [1] [2]

Conclusion

Stanislaw Dubiel of AGH University of Krakow is presented in this profile as a researcher working in the broad area of Data Analysis. The supplied record includes 214 documents, 2,656 citations, and an h-index of 25, together with Scopus and ORCID identifiers that can support scholarly record verification. [1] [2]

External Links

References

1. Lattice vibrations in sigma-phase Fe45.8Cr49Ni5.2 compound as revealed by Mössbauer spectroscopy.
  https://www.researchgate.net/publication/410796801_Lattice_vibrations_in_sigma-phase_Fe458Cr49Ni52_compound_as_revealed_by_Mossbauer_spectroscopy
2. Effect of strain release on redistribution of Cr atoms in selected cold-worked Fe-Cr alloys
  https://www.researchgate.net/publication/396115073_Effect_of_strain_release_on_redistribution_of_Cr_atoms_in_selected_cold-worked_Fe-Cr_alloys
3. Tuning magnetic frustration via composition: Spin-glass dynamics and phase diagrams of sigma-phase Fe-Cr-Ni alloys
  https://www.researchgate.net/publication/398070995_Tuning_magnetic_frustration_via_composition_Spin-glass_dynamics_and_phase_diagrams_of_sigma-phase_Fe-Cr-Ni_alloys

Assist Prof Dr. Nick Eleftheroglou - Predictive Analytics Award - Best Researcher

Delft University of Technology/ Faculty of Aerospace Engineering - Netherlands

Author Profile

Early Academic Pursuits

Assist Prof Dr. N. Eleftheroglou began their academic journey with a Diploma in Mechanical Engineering and Aeronautics from the University of Patras, where they graduated Cum Laude. This foundation laid the groundwork for their pursuit of higher education, leading to a Doctor of Philosophy degree, earned with distinction from the Faculty of Aerospace Engineering at Delft University of Technology. Their early academic pursuits reflect a strong commitment to engineering principles and aeronautical sciences, setting the stage for their groundbreaking research in the field of Sustainable AI for Diagnosis, Prognosis, and Health Management.

Professional Endeavors

Following their academic achievements, Assist Prof Dr. Eleftheroglou delved into various professional roles, including a stint as a Business Consultant at ORTEC and later as a Postdoctoral Researcher at Delft University of Technology. These experiences allowed them to bridge the gap between academia and industry, gaining practical insights into real-world applications of their research. Currently, as an Assistant Professor at Delft University of Technology, they continue to shape the future of engineering education and research.

Contributions and Research Focus On Predictive Analytics Award

Assist Prof Dr. Eleftheroglou's research is pioneering in the field of Sustainable AI for Diagnosis, Prognosis, and Health Management of structures and engineering systems. Their focus on developing novel physics-informed AI models highlights a dedication to advancing both the accuracy and environmental sustainability of AI applications. Their expertise spans machine learning models, stochastic processes, Bayesian statistics, and health/condition monitoring techniques, all aimed at improving the performance and longevity of critical engineering infrastructure.

Accolades and Recognition

The academic and professional community has recognized Assist Prof Dr. Eleftheroglou's contributions through various awards and scholarships. Their excellence in research has been acknowledged with prestigious honors such as the Euro bank EFG Award and scholarships from the National Foundation for outstanding performance. Additionally, they have received research scholarships from TU Delft, underscoring their significant contributions to the field of prognostics and composite structures.

Impact and Influence

Assist Prof Dr. Eleftheroglou's impact extends beyond their research publications and academic achievements. Their involvement in organizations like ASME, the PHM Society, and CBM Academy showcases their commitment to advancing the field and fostering collaboration. Moreover, their invited seminars and presentations at renowned institutions and conferences globally highlight their influence in shaping discussions around AI for sustainability and structural health monitoring.

Legacy and Future Contributions

As Assist Prof Dr. Eleftheroglou continues to push the boundaries of Sustainable AI and prognosis for engineering systems, their legacy grows stronger. Their research not only contributes to the academic discourse but also has tangible implications for industries reliant on structural integrity and predictive maintenance. Looking ahead, their future contributions are poised to further revolutionize the intersection of AI, sustainability, and engineering, leaving an indelible mark on the field for generations to come.

Citations

Citations 445
h-index 9
i10-index 8

Notable Publication

Similarity learning hidden semi-Markov model for adaptive prognostics of composite structures Reliability Engineering and System Safety This link is disabled., 2024.

Eleftheroglou, N., Galanopoulos, G., Loutas, T.

Acoustic emission-based remaining useful life prognosis of aeronautical structures subjected to compressive fatigue loading Engineering Structures This link is disabled., 2023.

Galanopoulos, G., Milanoski, D., Eleftheroglou, N., ...Zarouchas, D., Loutas, T.

A novel strain-based health indicator for the remaining useful life estimation of degrading composite structures Composite Structures This link is disabled., 2023.

Galanopoulos, G., Eleftheroglou, N., Milanoski, D., ...Zarouchas, D., Loutas, T.

Adaptive Prognostics: A reliable RUL approach Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM, 2023.

Eleftheroglou, N.

An SHM Data-Driven Methodology for the Remaining Useful Life Prognosis of Aeronautical Subcomponents Lecture Notes in Civil Engineering This link is disabled., 2023.