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

Hengshen Xu | Engineering | Innovative Research Award

Published on by Research Hypothesis

Innovative Research Award

Hengshen Xu
Shenzhen Yitoa Aurora Micro Technology Co., LTD., China

Hengshen Xu
Affiliation Shenzhen Yitoa Aurora Micro Technology Co., LTD.
Country China
Scopus ID 57251075200
Documents 2
Citations 4
h-index 1
Subject Area Engineering
Event International Research Hypothesis Excellence Award

Hengshen Xu is a researcher affiliated with Shenzhen Yitoa Aurora Micro Technology Co., LTD. in China, with a research profile classified within Engineering. The available bibliographic information records two documents, four citations, and an h-index of 1 under Scopus Author ID 57251075200. [1] The documented publication information also identifies work concerning waveguide-system design using one-dimensional slant gratings and two-dimensional gratings, reflecting an engineering focus on optical and microtechnology-related system design. [2]

Abstract

This academic recognition profile presents the research record of Hengshen Xu, affiliated with Shenzhen Yitoa Aurora Micro Technology Co., LTD., China. Xu’s documented scholarly activity is situated in Engineering, with available bibliographic records indicating two documents, four citations, and an h-index of 1. [1] A documented research contribution addresses the design of a waveguide system using a one-dimensional slant grating together with a two-dimensional grating, indicating engagement with engineered optical structures and waveguide-system development. [2] The profile is considered in the context of the International Research Hypothesis Excellence Award based on the supplied research and bibliographic information.

Keywords

Hengshen Xu; Engineering; waveguide systems; slant grating; two-dimensional grating; optical engineering; microtechnology; grating-based waveguide design; research innovation; International Research Hypothesis Excellence Award.

Introduction

Engineering research frequently combines theoretical analysis, device architecture, materials, fabrication considerations, and system-level design to address practical technological challenges. Within optical and microtechnology applications, grating structures can be incorporated into waveguide systems to control or manipulate the propagation and coupling of electromagnetic energy. Xu’s documented publication record includes work on waveguide-system design involving a one-dimensional slant grating and a two-dimensional grating, placing the research within this broader engineering context. [2]

Research Profile

Hengshen Xu is affiliated with Shenzhen Yitoa Aurora Micro Technology Co., LTD. in China and is associated with the Engineering subject area. The supplied Scopus record lists two indexed documents, four citations, and an h-index of 1. [1] The available publication information indicates an interest in waveguide-system architecture and grating-based design, particularly through the combination of a one-dimensional slant grating and a two-dimensional grating. [2]

Research Contributions

The supplied publication title, Design of waveguide system using one dimension slant grating and two dimension grating, identifies a research contribution focused on waveguide-system design using multiple grating configurations. [2] The work is associated with a group of authors that includes X. Guo, Xiaoming H., Huang Hao Q., Song Qiang, Yueqiang Y., and Huigao H. Duan, based on the publication information provided for this profile.[2]

Publications

The available publication information identifies the following research work associated with Hengshen Xu:

  1. Design of waveguide system using one dimension slant grating and two dimension grating. Authors listed in the supplied record include X. Guo, Xiaoming H., Huang Hao Q., Song Qiang, Yueqiang Y., and Huigao H. Duan. [2]

A DOI was not supplied with the publication information provided for this article. Accordingly, no DOI identifier is asserted here without an authoritative bibliographic source. The Scopus author profile should be consulted for the current indexed publication record and associated bibliographic metadata. [1]

Research Impact

The supplied Scopus metrics record four citations across two documents and an h-index of 1 for the identified author profile. [1] These metrics indicate that the indexed publications have received measurable scholarly citation activity. Citation counts can vary over time as databases are updated, and they represent one bibliometric dimension of research visibility rather than a comprehensive measure of scientific contribution.

Award Suitability

The International Research Hypothesis Excellence Award considers research achievements and academic contributions presented through submitted nomination materials. Within the information supplied for this profile, Hengshen Xu has an identified Engineering affiliation, a documented publication concerning waveguide-system design, and an indexed bibliographic record containing two documents, four citations, and an h-index of 1. [1] [2]

Conclusion

Hengshen Xu is an Engineering researcher affiliated with Shenzhen Yitoa Aurora Micro Technology Co., LTD. in China. The available bibliographic record identifies two documents, four citations, and an h-index of 1 under Scopus Author ID 57251075200. [1] The documented publication on waveguide-system design using one-dimensional slant and two-dimensional gratings provides evidence of research activity in an area connecting optical structures, waveguide engineering, and microtechnology. [2] This profile summarizes the supplied evidence without extending conclusions beyond the available bibliographic and publication information.

References

  1. Elsevier. (n.d.). Scopus author details: Hengshen Xu, Author ID 57251075200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57251075200
  2. Xu, Hengshen, et al. Design of waveguide system using one dimension slant grating and two dimension grating. Publication information supplied for the research profile. A DOI was not provided in the available source material.
  3. International Research Hypothesis Excellence Award. Research Hypothesis.
    https://researchhypothesis.com/

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/

Lingzhi Li | Engineering and Technology | Best Researcher Award

Published on by Research Hypothesis

Dr. Lingzhi Li | Engineering and Technology | Best Researcher Award

Dr. Lingzhi Li | Engineering and Technology | Associate Professor | Tongji University | China

Dr. Lingzhi Li is a highly accomplished scholar and professional in the field of civil and structural engineering, currently serving as a professor and doctoral supervisor at Tongji University. With extensive academic and industry experience, he has established himself as an authority in structural safety, concrete materials, and building inspection. His career integrates both academic leadership and practical expertise, contributing to the improvement of resilient infrastructure systems worldwide. Dr. Lingzhi Li is widely recognized for his pioneering contributions to reinforced concrete structures, fire resistance studies, sustainable construction materials, and 3D printing technologies. As a mentor, leader, and researcher, he has made a significant impact in guiding the next generation of engineers while advancing global knowledge in civil engineering.

Professional Profile 

Education

Dr. Lingzhi Li completed his foundational studies in civil and structural engineering at Tongji University, earning both his undergraduate and master’s degrees with distinction. He later pursued advanced academic training at the University of Hong Kong, where he obtained his doctoral degree in civil engineering. His academic journey reflects a strong dedication to excellence, supported by rigorous research, innovation, and applied problem-solving. The combination of domestic and international education provided Dr. Lingzhi Li with a well-rounded perspective, enabling him to approach engineering challenges with both technical depth and global insight. This academic background continues to serve as a foundation for his contributions to research, teaching, and professional practice.

Experience

Dr. Lingzhi Li has accumulated extensive experience in both academia and professional practice. In addition to his role as a professor and Ph.D. supervisor, he has actively contributed to the engineering industry through registered professional certifications and leadership in building quality inspection projects. Earlier in his career, he worked with renowned organizations such as Tongji Architectural Design Institute and AECOM Asia, where he contributed to major structural and geotechnical projects. These experiences enriched his practical expertise and informed his later academic endeavors. Within the university setting, he has taught a wide range of courses, including advanced steel structures, nonlinear analysis of concrete structures, and geotechnics. Dr. Lingzhi Li ability to bridge theoretical research with applied engineering has distinguished him as both an effective educator and a practitioner.

Research Interest

The research interests of Dr. Lingzhi Li cover diverse and impactful areas in civil and structural engineering. His work primarily focuses on the fire resistance of reinforced concrete structures, evaluation and retrofitting of aging infrastructures, and the development of high-performance concrete materials. He has also advanced the use of innovative 3D printing technologies in construction, opening new opportunities for sustainable and efficient building practices. In addition, his studies in seismic resilience and structural damage assessment have provided critical insights into enhancing the safety of buildings under extreme conditions. Dr. Lingzhi Li has led and participated in numerous national and international research projects, collaborating with global institutions to address pressing engineering challenges and to promote sustainable construction practices.

Award

Dr. Lingzhi Li has been honored with prestigious awards in recognition of his scientific and technological contributions. He received the China Industry-University-Research Cooperation Innovation Achievement Award for his innovative work in damage assessment and reinforcement of concrete structures. His role in advancing fire safety of high-performance concrete structures was acknowledged through a provincial-level Scientific and Technological Progress Award. These accolades highlight his ability to translate theoretical research into practical innovations that directly benefit the construction industry. His recognition as an author of highly cited papers further demonstrates the global influence of his scholarship and his standing as a leader in civil engineering research.

Selected Publication

  • “Flexural behavior of precast ultra-lightweight ECC-concrete composite slab with lattice girders” – Published: 2023, Citations: 115

  • “Post-fire reinforced concrete frames: Experimental study on seismic performance” – Published: 2019, Citations: 140

  • “Experimental study on seismic behavior of prefabricated RC frame joints with T-shaped columns” – Published: 2021, Citations: 86

  • “3D recycled mortar printing: System development, process design, material properties and on-site printing” – Published: 2020, Citations: 95

Conclusion

Dr. Lingzhi Li is an outstanding candidate for recognition through this award nomination. His scholarly achievements, extensive research portfolio, and practical contributions to civil and structural engineering demonstrate his unwavering commitment to advancing knowledge and improving global infrastructure resilience. By integrating advanced materials research, innovative construction techniques, and structural safety evaluations, he has created a body of work that addresses both current and future challenges in the built environment. As a professor and mentor, he continues to shape the next generation of engineers while expanding the boundaries of his research. With proven leadership, international collaboration, and award-winning research, Dr. Lingzhi Li exemplifies the qualities of a world-class academic and is highly deserving of this distinguished honor.