Roman Nedela | Data Science | Innovative Research Award

Published on by Engineering Scientist

Innovative Research Award

Roman Nedela
Zapadoceska univerzita v Plzni, Czech Republic

Roman Nedela
Affiliation Zapadoceska univerzita v Plzni
Country Czech Republic
Scopus ID 6602818470
Documents 105
Citations 1,544
h-index 24
Subject Area Data Science
Event Engineering Scientist Awards
ORCID 0000-0002-9826-704X

Roman Nedela is a researcher affiliated with Zapadoceska univerzita v Plzni in the Czech Republic whose scholarly record includes work associated with mathematical structures, algorithms, combinatorial methods, and computationally relevant research. His Scopus profile records 105 documents, 1,544 citations, and an h-index of 24, providing quantitative evidence of sustained scholarly activity and research visibility.[1]

Abstract

Roman Nedela’s research profile reflects an established academic record spanning algorithmic and mathematical research. His documented publication activity includes studies of automorphisms and isomorphisms of maps and investigations of quadrangle group inclusions. These works demonstrate engagement with rigorous computational and structural problems, including the development and analysis of efficient algorithmic approaches.[2][3]

Keywords

  • Data Science
  • Algorithms
  • Automorphisms
  • Isomorphisms
  • Combinatorics

Introduction

The Innovative Research Award profile considers scholarly activity through publication output, research impact, methodological contribution, and relevance to contemporary scientific inquiry. Nedela’s recorded work provides evidence of sustained engagement with algorithmic and mathematical problems, while his Scopus indicators provide an additional quantitative perspective on the reach of his research.[1]

Research Profile

The available bibliometric record lists 105 documents, 1,544 citations, and an h-index of 24. These indicators suggest a substantial body of indexed scholarly output accompanied by measurable citation activity. His institutional affiliation with Zapadoceska univerzita v Plzni places the research profile within the Czech academic environment.[1]

Research Contributions

The publication record includes research on the algorithmic recognition of automorphisms and isomorphisms of maps. The 2025 article, published in ACM Transactions on Algorithms, addresses these structures in linear time, indicating a focus on computational efficiency and algorithmic complexity.[2] Earlier work on quadrangle group inclusions addresses structural relationships within algebraic and geometric settings.[3]

Publications

  • Automorphisms and Isomorphisms of Maps in Linear Time. ACM Transactions on Algorithms.[2]
  • Quadrangle groups inclusions. Beiträge zur Algebra und Geometrie / Contributions to Algebra and Geometry.[3]

Research Impact

The recorded citation count of 1,544 and h-index of 24 indicate that Nedela’s publications have received sustained attention within the indexed scholarly literature. These metrics should be interpreted as indicators of bibliometric visibility rather than as independent measures of research quality.[1]

Award Suitability

Based on the supplied bibliometric record and documented publications, Nedela presents a profile that is relevant for consideration for an Innovative Research Award. The combination of 105 indexed documents, 1,544 citations, an h-index of 24, and publications addressing computationally demanding mathematical problems provides objective evidence of sustained research activity and scholarly contribution.[1][2]

Conclusion

Roman Nedela’s academic profile combines substantial indexed publication activity with measurable citation impact and research contributions in algorithmic and mathematical domains. The available evidence supports his consideration within the Engineering Scientist Awards framework, particularly where innovation, methodological rigor, and sustained scholarly contribution are evaluated together.

References

  1. Elsevier. (n.d.). Scopus author details: Roman Nedela, Author ID 6602818470. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=6602818470
  2. ACM. (2025). Automorphisms and Isomorphisms of Maps in Linear Time. ACM Transactions on Algorithms.
    https://doi.org/10.1145/3686798
  3. Springer. (2017). Quadrangle groups inclusions. Beiträge zur Algebra und Geometrie / Contributions to Algebra and Geometry.
    https://doi.org/10.1007/s13366-016-0309-3
  4. ORCID. (n.d.). Roman Nedela ORCID record.
    https://orcid.org/0000-0002-9826-704X
  5. Engineering Scientist Awards. (n.d.). Engineering Scientist Awards official website.
    https://engineeringscientist.com/

Aytac Aydın | Data Science | Best Researcher Award

Published on by Engineering Scientist

Assoc. Prof. Dr. Aytac Aydın | Data Science
| Best Researcher Award

Karadeniz Technical University | Turkey

Assoc. Prof. Dr. Aytac Aydın Research contributions focus on advancing quality management and performance appraisal within the forest products and wood-based materials industry through the systematic application of statistical analysis and artificial intelligence techniques. The work integrates process optimization, quality control modeling, and ergonomics to enhance productivity, material efficiency, and workplace safety across manufacturing environments. Multiple completed and ongoing research projects have addressed critical challenges in the evaluation of production performance, defect reduction, operational efficiency, and sustainable resource utilization. Innovative methodologies, including multi-criteria decision-making models, predictive analytics, and machine learning algorithms, have been applied to improve decision accuracy in material selection, process planning, and quality inspection. Published studies in SCI-indexed journals contribute valuable data-driven insights to both academia and industry, strengthening standards in forest industrial engineering and promoting evidence-based operational strategies. Research outcomes support environmentally responsible production while increasing economic efficiency in wood-based manufacturing systems. In addition, contributions extend to guiding postgraduate and doctoral-level research focused on quality systems, process improvement, and industrial performance metrics. These efforts collectively strengthen the scientific foundation of forest industry management, drive technological advancement, and support sustainable and intelligent manufacturing practices with a long-term impact on both regional and international forestry-based production sectors.

 Profile: Orcid | Scopus 

Featured Publications

Aydın, A., Temel, B. A., Semercioğlu, İ. N., Başağa, H. B., Toğan, V., & Ağcakoca, E. (2025). Evaluating performance appraisal effects on employee motivation and productivity: Insights from the Turkish construction industry via covariance-based structural equation modeling. Buildings. https://doi.org/10.3390/buildings15224040

Tiryaki, S., Aydın, A., & Ondaral, S. (2025). Process monitoring with individual measurements: A case study in corrugated cardboard industry. Artvin Çoruh Üniversitesi Orman Fakültesi Dergisi. https://doi.org/10.17474/artvinofd.1722824

Tiryaki, S., & Aydın, A. (2024). Orta yoğunlukta liflevha üretiminde çekme direncinin iki aşamalı izlenmesi. Düzce Üniversitesi Orman Fakültesi Ormancılık Dergisi. https://doi.org/10.58816/duzceod.1563540

Aydın, A., & Nemli, G. (2023). Yonga levha endüstrisinde zımparalama sorunlarının ve çözüm önerilerinin belirlenmesine yönelik bir çalışma. Düzce Üniversitesi Orman Fakültesi Ormancılık Dergisi. https://doi.org/10.58816/duzceod.1394936