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

Nimai Chand Chandra | Engineering and Technology | Best Researcher Award Professor & Dean | Shri Vishnu Engineering College for Women | India

Published on by Research Hypothesis

Prof. Nimai Chand Chandra | Engineering and Technology | Best Researcher Award

Prof. Nimai Chand Chandra | Engineering and Technology | Best Researcher Award | Professor & Dean | Shri Vishnu Engineering College for Women | India 

Prof. Nimai Chand Chandra is a dedicated academician and accomplished researcher recognized for his extensive contributions to engineering education, technological innovation, and applied research across emerging scientific domains. He has established a strong academic foundation through rigorous training and advanced education, enabling him to excel as a faculty leader and multidisciplinary scholar committed to societal advancement through research-driven solutions. His professional experience spans teaching, research guidance, institutional development, and active participation in collaborative projects, reflecting his long-standing commitment to academic excellence and knowledge dissemination. Throughout his career, Prof. Nimai Chand Chandra has engaged deeply in higher education leadership, curriculum development, and student mentorship while contributing to impactful research initiatives that address current global and industrial challenges. His research interests encompass machine learning applications, computational modelling, sustainable engineering solutions, intelligent systems, and data-driven optimization frameworks, all of which highlight his ability to integrate theoretical understanding with real-world applications. He has developed high-level research skills across algorithm development, experimental analysis, data interpretation, and interdisciplinary problem-solving, with strong proficiency in advanced computational tools and analytical techniques that support his innovative academic output. Prof. Nimai Chand Chandra has consistently published in reputable journals and conferences and is noted for his analytical rigor, clarity of research design, and commitment to scientific integrity. He has also contributed to various academic responsibilities, including organizing workshops, contributing to faculty development programs, and guiding student research projects that expand the intellectual environment of the institutions he serves. His awards and honors reflect his achievements in teaching innovation, research productivity, and academic leadership, acknowledging his sustained dedication to the progress of engineering and technology education. His professional strengths include strong teamwork, strategic planning, and the ability to foster collaborative research environments that accelerate knowledge exchange and innovation. As a respected academic, he maintains active involvement in scholarly communities and continues to support transformative research contributions that enhance institutional growth and societal impact. Overall, Prof. Nimai Chand Chandra stands out as a forward-thinking educator and researcher whose persistent efforts, academic achievements, leadership roles, and research excellence collectively demonstrate his valuable impact on the scientific community and reinforce his ongoing potential to contribute meaningfully to progressive research ecosystems at both national and global levels.

Profile: Scopus | ORCID | Google Scholar

Featured Publications 

  1. Chandra, N. C. (2025). Hybrid DRL-Enhanced ACO-WWO for Efficient Resource Allocation and Load-Balancing in Cloud Computing. International Journal of Computational Intelligence Systems.

  2. Chandra, N. C. (2025). A Flawless QoS Aware Task Offloading in IoT Driven Edge Computing System using Chebyshev Based Sand Cat Swarm Optimization. Journal of Grid Computing.

  3. Chandra, N. C. (2024). Decoding Human Facial Emotions: A Ranking Approach using Explainable AI. IEEE Access.

  4. Chandra, N. C. (2024). ProteinCNN-BLSTM: An Efficient Deep Neural Network for Protein Sequence Classification. Computational Intelligence.

  5. Chandra, N. C. (2024). AI-Driven Drowned-Detection System for Rapid Coastal Rescue Operations. Spatial Information Research.

  6. Chandra, N. C. (2024). A Precise Model for Skin Cancer Diagnosis using Hybrid U-Net and Improved MobileNet-V3. Scientific Reports.

  7. Chandra, N. C. (2023). A Novel Approach for Prediction of Gestational Diabetes based on Clinical Signs and Risk Factors. ICST Transactions on Scalable Information Systems.