Tansel Dogan | Engineering | Distinguished Scientist Award

Published on by Research Hypothesis

Distinguished Scientist Award

Tansel Dogan
DMT GMBH, Germany

Tansel Dogan
Affiliation DMT GMBH
Country Germany
Scopus ID 58149576600
Documents 4
Citations 26
h-index 3
Subject Area Engineering
Event International Research Hypothesis Excellence Award
ORCID 0000-0001-7511-5097

Tansel Dogan is a Germany-based researcher affiliated with DMT GMBH whose documented research record encompasses engineering, mining, sustainable transition, post-mining management, and the interaction between geological materials and cement-based systems. His indexed publication record includes work addressing particle grading and interfacial behavior in rock specimens, European coal-transition pathways, post-mining management in the Ruhr region, and the preservation and visualization of European coal-mining heritage. These publications provide a basis for considering his research profile in the context of the International Research Hypothesis Excellence Award. [1] [2] [3] [4]

Abstract

Tansel Dogan’s documented research activity is situated within engineering and mining-related research, with publications addressing both technical and broader sustainability dimensions of the mining sector. His recent work includes an investigation of particle grading in core-derived rock specimens and its relationship with cement-based paste filling, rock interfacial behavior, strength acquisition, and microstructural development. [1] His research record also includes studies of coal-transition pathways in the European Union, with attention to governance and regional transformation in Germany, Poland, and Czechia, as well as post-mining management in the Ruhr region and potential knowledge transfer to Kosovo’s mining sector. [2] [3] A further publication examines European coal-mining heritage through the CoalHeritage initiative. [4]

Keywords

Tansel Dogan; Engineering; Mining Engineering; Sustainable Mining; Coal Transition; Post-Mining Management; Rock Mechanics; Cement-Based Paste Filling; Mining Heritage; European Mining; Knowledge Transfer; Regional Transformation; Microstructural Development.

Introduction

Contemporary mining engineering increasingly combines technical investigation of mining materials and processes with environmental, economic, governance, and regional-transition considerations. Within this context, Dogan’s documented publications represent several interconnected areas of mining research. The 2026 article on particle grading examines the behavior of core-derived rock specimens when used in cement-based paste filling systems, linking material characteristics with interfacial behavior, strength development, and microstructural progress. [1]

Research Profile

Dogan is affiliated with DMT GMBH in Germany and is identified in the supplied research record by Scopus Author ID 58149576600 and ORCID 0000-0001-7511-5097. The supplied bibliometric information records 4 documents, 26 citations, and an h-index of 3. These metrics provide a quantitative snapshot of the indexed record and should be interpreted in relation to publication dates, database coverage, disciplinary citation practices, and the development stage of the research portfolio.[1] [2] [3] [4]

Research Contributions

The available publications indicate several identifiable areas of research contribution:

  • Investigation of particle grading in core-derived rock specimens and its relationship with cement-based paste filling-rock interfacial behavior, strength acquisition, and microstructural development. [1]
  • Analysis of coal-transition pathways in the European Union, including governance and regional transformation across Germany, Poland, and Czechia. [2]
  • Research on sustainable transition and post-mining management in the Ruhr region, including consideration of prospective knowledge transfer to Kosovo’s mining sector. [3]
  • Contribution to the CoalHeritage initiative focused on visualizing and promoting Europe’s coal-mining heritage. [4]

Publications

The following publications are included in the supplied research record:

  1. Influence of particle grading of core-derived rock specimens on cement-based paste filling-rock interfacial behavior, strength acquisition, and microstructural progress. Green and Smart Mining Engineering, 2026.
  2. Coal Transition Pathways in the European Union: Governance and Regional Transformation in Germany, Poland, and Czechia. Sustainability, 2026.
  3. Examining Sustainable Transition and Post-Mining Management in the Ruhr Region and the Prospective Evaluation of Knowledge Transfer to Kosovo’s Mining Sector. Mining, 2024.
  4. CoalHeritage: Visualising and Promoting Europe’s Coal Mining Heritage. Mining, 2024.

Research Impact

The supplied bibliometric record reports 26 citations across 4 documents and an h-index of 3. These indicators suggest that the listed publications have received measurable scholarly attention within the indexed record. Citation counts, however, are database-dependent and can change over time; they therefore represent one dimension of research visibility rather than a complete assessment of research significance.[1] [2] [3] [4]

Award Suitability

For the International Research Hypothesis Excellence Award, the documented profile provides several areas that can be considered in relation to engineering-focused recognition. The research record includes peer-reviewed journal publications addressing technical mining engineering questions as well as sustainability and transition challenges affecting mining regions. [1] [2] [3] [4]

Conclusion

Tansel Dogan’s documented research profile at DMT GMBH is associated with engineering and mining-related scholarship spanning technical material behavior, sustainable mining transition, post-mining management, regional transformation, knowledge transfer, and mining heritage. The supplied record identifies 4 documents, 26 citations, and an h-index of 3, alongside an ORCID profile and Scopus author identifier. The listed publications provide a documented basis for recognizing the breadth of themes represented in the research record while allowing future work and additional bibliometric evidence to further develop the profile.

References

  1. Yilmaz, E.; Keskin, T.; Kasap, T.; Sari, M.; Selek, G.; Dogan, T.; Šancer, J.; Qi, C. (2026). Influence of particle grading of core-derived rock specimens on cement-based paste filling-rock interfacial behavior, strength acquisition, and microstructural progress. Green and Smart Mining Engineering.
    https://doi.org/10.1016/j.gsme.2026.03.007
  2. Dogan, T.; Flores, H.; Jarosławska-Sobór, S.; Šancer, J. (2026). Coal Transition Pathways in the European Union: Governance and Regional Transformation in Germany, Poland, and Czechia. Sustainability.
    https://doi.org/10.3390/su18189616
  3. Zeqiri, K.; Dogan, T.; Möllerherm, S.; Kasmaeeyazdi, S. (2024). Examining Sustainable Transition and Post-Mining Management in the Ruhr Region and the Prospective Evaluation of Knowledge Transfer to Kosovo’s Mining Sector. Mining.
    https://doi.org/10.3390/mining4030034
  4. Krassakis, P.; Karavias, A.; Zygouri, E.; Koukouzas, N.; Szewerda, K.; Michalak, D.; Jegrišnik, T.; Kamenik, M.; Charles, N.; Beccaletto, L.; et al., including Tansel Dogan. (2024). CoalHeritage: Visualising and Promoting Europe’s Coal Mining Heritage. Mining.
    https://doi.org/10.3390/mining4030028
  5. Elsevier. (n.d.). Scopus author details: Tansel Dogan, Author ID 58149576600. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58149576600
  6. ORCID. (n.d.). Tansel Dogan — ORCID profile.
    https://orcid.org/0000-0001-7511-5097

Styliani Kontaki | Engineering | Innovative Research Award

Published on by Research Hypothesis

Innovative Research Award

Styliani Kontaki
University of West Attica, Greece

Styliani Kontaki
Affiliation University of West Attica
Country Greece
Documents 1
Subject Area Engineering
Event International Research Hypothesis Excellence Award
ORCID 0009-0009-5536-3144

Styliani Kontaki is a researcher affiliated with the University of West Attica in Greece whose documented research activity falls within the field of Engineering. Her listed scholarly record includes a journal article addressing time-series machine learning for fault diagnosis and severity estimation in industrial processes, published in Machines in September 2026. The publication brings together machine-learning methods and industrial process analysis, reflecting the application of computational approaches to engineering diagnosis and severity assessment. [1]

Abstract

Styliani Kontaki is associated with engineering research at the University of West Attica, Greece. The available publication record identifies her as a contributor to the study Time-Series Machine Learning for Fault Diagnosis and Severity Estimation in Industrial Processes, published in Machines in September 2026. The work examines the use of time-series machine-learning approaches for industrial fault diagnosis and severity estimation, linking data-driven computational methods with engineering process monitoring. The publication lists Paraskevi Zacharia, Styliani Kontaki, Konstantinos Moustris, and Constantinos Stergiou as contributors and is identified by DOI 10.3390/machines14091058. [1]

Keywords

Engineering; machine learning; time-series analysis; fault diagnosis; severity estimation; industrial processes; predictive analysis; industrial systems; data-driven engineering.

Introduction

Modern industrial systems generate substantial quantities of temporal and operational data that can be analyzed to identify deviations in system behavior. Time-series machine learning provides a framework for extracting patterns from sequential observations and can support engineering applications such as fault detection, diagnosis, classification, and severity estimation. The documented publication involving Styliani Kontaki applies this general research direction to industrial processes, focusing specifically on the relationship between time-dependent data and the identification and assessment of process faults. [1]

Research Profile

The available information places Styliani Kontaki within the Engineering subject area and associates her with the University of West Attica in Greece. Her documented research contribution includes participation in a multidisciplinary journal article focused on time-series machine learning for industrial fault diagnosis and severity estimation. The study’s contributor list indicates collaboration with Paraskevi Zacharia, Konstantinos Moustris, and Constantinos Stergiou. [1]

Research Contributions

The documented research contribution can be described through several interconnected areas:

  • Application of time-series machine-learning methods to industrial process data.
  • Investigation of computational approaches for fault diagnosis in industrial processes.
  • Consideration of fault severity estimation as an additional dimension of industrial condition assessment.
  • Contribution to collaborative engineering research combining machine learning and industrial process analysis.

These areas demonstrate a research direction in which data-driven methods are applied to practical engineering problems. The identified article provides the principal documented basis for describing this contribution. [1]

Publications

The supplied publication record identifies one journal article involving Styliani Kontaki:

  • Time-Series Machine Learning for Fault Diagnosis and Severity Estimation in Industrial Processes. Machines, September 2026. Contributors: Paraskevi Zacharia; Styliani Kontaki; Konstantinos Moustris; Constantinos Stergiou.

The article is published by the Multidisciplinary Digital Publishing Institute and is associated with the journal Machines. The DOI provides a persistent identifier for the publication and enables access to the publisher’s bibliographic record. [1]

Research Impact

The available information does not provide verified citation counts, h-index values, or other quantitative impact indicators for Styliani Kontaki. Accordingly, no numerical bibliometric impact assessment is assigned here. The documented research nevertheless addresses an applied engineering problem in which machine-learning techniques are used to analyze industrial process behavior, fault conditions, and severity. [1]

The potential relevance of this research lies in the broader use of data-driven methods for industrial monitoring and diagnosis. Further assessment of scholarly impact would require additional evidence such as citation data, subsequent publications, adoption of the methods, or documented industrial applications.

Award Suitability

The documented research profile provides a basis for consideration in the context of an Innovative Research Award associated with the International Research Hypothesis Excellence Award. In particular, the identified work connects machine-learning methodology with an applied engineering challenge involving industrial fault diagnosis and severity estimation. [1]

Conclusion

Styliani Kontaki is an engineering researcher affiliated with the University of West Attica in Greece. The documented publication Time-Series Machine Learning for Fault Diagnosis and Severity Estimation in Industrial Processes identifies her as a contributor to research applying time-series machine learning to industrial fault diagnosis and severity assessment. [1]

References

  1. Multidisciplinary Digital Publishing Institute. (2026). Time-Series Machine Learning for Fault Diagnosis and Severity Estimation in Industrial Processes. Machines. DOI: 10.3390/machines14091058.
    https://doi.org/10.3390/machines14091058
  2. ORCID. (n.d.). ORCID record for Styliani Kontaki.
    https://orcid.org/0009-0009-5536-3144
  3. Research Hypothesis. (n.d.). International Research Hypothesis Excellence Award.
    https://researchhypothesis.com/

Taşkın Deniz Yıldız | Engineering and Technology | Best Researcher Award

Published on by Research Hypothesis

Taşkın Deniz Yıldız | Engineering and Technology | Best Researcher Award

Assoc. Prof. Dr Taşkın Deniz Yıldız, Adana Alparslan Türkeş Science and Technology University, Department of Mining Engineering, Turkey

Assoc. Prof. Dr. Taşkın Deniz Yıldız is a distinguished academic specializing in mining engineering and law. With a Ph.D. from Istanbul Technical University 🎓, he has extensive expertise in mining legislation, mineral economics, cost analysis, land use, and mining waste management. As an Associate Professor at Adana Alparslan Türkeş Science and Technology University 🏛️, he has authored over 85 academic publications, including 23 SCI-indexed articles 📑. His work has earned prestigious awards like TÜBİTAK Academic Incentive Awards (2022-2024) 🏆 and international research recognitions 🌟. Dr. Yıldız is also an editor for multiple journals and a strong advocate for sustainable resource management 🌱.

Publication Profile

Google Scholar

Orcid

Scopus

Education

Assoc. Prof. Dr. Taşkın Deniz Yıldız is a distinguished scholar with a multidisciplinary background. He completed his BSc in Mining Engineering at Istanbul University (2005-2009) and advanced his expertise with MSc (2009-2012) and PhD (2012-2020) degrees at Istanbul Technical University, earning impressive GPAs of 3.50 and 3.69, respectively. Simultaneously, he pursued legal studies, obtaining an Associate Degree in Law from Anatolia University (2012-2014) and a BSc in Law from Istanbul Beykent University (2014-2016) with honors. An alumnus of Haydarpaşa Anatolia High School (1998-2002), Dr. Yıldız consistently excelled academically, achieving numerous honors and distinctions. 🌟📘⚒️⚖️🎓

Research Impact

Assoc. Prof. Dr. Taşkın Deniz is a prolific researcher with 85 academic publications, including 23 articles indexed in SCI/SSCI/SCIE, 17 of which appear in prestigious Q1 journals. 📚✨ He has also contributed to books and conference proceedings, showcasing his dedication to advancing knowledge. 📖🔬 His research focuses on crucial topics such as mining legislation, waste management, land use, and environmental sustainability. ⛏️🌱♻️ Dr. Deniz’s work addresses significant global challenges, emphasizing sustainable practices and responsible resource management. 🌍✅ His expertise and impactful studies make him a vital contributor to both academic and practical solutions in environmental and mining sciences.

Editorial Contributions

Assoc. Prof. Dr. Taşkın Deniz Yıldız has made significant contributions to academia, particularly in his field of expertise 🌟📚. With his leadership and dedication, he has served in various editorial roles for prominent journals, demonstrating his commitment to advancing scholarly research ✍️📰. His editorial responsibilities highlight his deep knowledge and ability to guide impactful publications, shaping the direction of academic discourse 📖🔬. Dr. Yıldız’s active engagement in these roles reflects his excellence and recognition as a leader in his domain, inspiring peers and students alike 🌟🎓. His work continues to leave a lasting mark on his field. 🌟📑

Awards

Assoc. Prof. Dr. Taşkın Deniz has earned prestigious accolades for his exceptional research and leadership. 🌟 He received the Best Researcher Award from ScienceFather’s International Research Award and Honors (2024) 🏆 and the Outstanding Scientist Award at the International Research Awards on Leadership and Management (2023) 🌍. His groundbreaking work also garnered the Best Researcher Award (2022) and the Best Research Award at SHEN 2021, approved by India’s Ministry of Corporate Affairs. 🇮🇳✨ Additionally, Dr. Deniz earned TÜBİTAK Academic Incentive Awards in 2024 (25,000 TL), 2023 (15,000 TL), and 2022 (10,000 TL). 💡🎖️

Research Focus

Dr. T.D. Yıldız’s research focuses primarily on the environmental and economic aspects of mining operations in Turkey, particularly regarding waste management, land acquisition, and the impact of legislation. His work addresses the costs of waste management in mining companies and explores the potential of waste recovery to mitigate these costs. He also evaluates the effects of the Environmental Impact Assessment (EIA) procedures on the mining sector and analyzes the financial implications of forestland use and private land acquisition during mining operations. His contributions aim to improve sustainable practices in the mining industry. 🌍💰🌱⚒️

Publication Top Notes

Waste management costs (WMC) of mining companies in Turkey: can waste recovery help meeting these costs?

Evaluation of Forestland Use in Mining Operation Activities in Turkey in terms of Sustainable Natural Resources

The Impacts of EIA Procedure on the Mining Sector in the Permit Process of Mining Operating Activities & Turkey Analysis

Effects of the Private Land Acquisition Process and Costs on Mining Enterprises before Mining Operation Activities in Turkey

The share of required costs in investment amounts for mining operating activities in pasture lands in Turkey

The effects of the mining operation activities permit process on the mining sector in Turkey

Forest fees paid to permit mining extractive operations on Turkey’s forestlands & the ratio to investments