Rabab Allouzi | Strutural matetials and performance | Innovative Research Award

Published on by Superior Engineering
Innovative Research Award
Rabab Allouzi
The University of Jordan, Jordan
Rabab Allouzi
Affiliation The University of Jordan
Country Jordan
Scopus ID 6503919806
Documents 28
Citations 572
h-index 13
Subject Area Strutural matetials and performance
Event Superior Engineering
ORCID 0000-0002-3969-0948

Rabab Allouzi is a civil engineering researcher and academic affiliated with the University of Jordan. Her documented research record includes work on reinforced concrete structures, structural modelling, concrete materials, finite-element analysis, structural connections, and construction technologies. Publicly available scholarly records identify her affiliation with the University of Jordan and report a substantial body of peer-reviewed research. [1]

Abstract

Rabab Allouzi’s academic profile reflects sustained research activity in civil and structural engineering, with publications addressing structural behaviour, reinforced concrete, concrete-filled tubular members, finite-element modelling, construction materials, and emerging construction technologies. Her scholarly record includes research published in international engineering journals and venues, including studies involving numerical modelling and experimental investigation.  The research portfolio demonstrates an interdisciplinary relationship between structural mechanics, computational analysis, materials engineering, and practical construction applications. These characteristics provide a scholarly basis for considering the profile within an innovation-oriented engineering recognition framework.

Keywords

Rabab Allouzi; civil engineering; structural engineering; reinforced concrete; finite-element analysis; structural modelling; concrete materials; concrete-filled steel tubes; seismic response; construction technology; innovative engineering; research impact; academic recognition.

Introduction

Research in contemporary civil engineering increasingly combines experimental investigation, computational modelling, advanced materials, and data-driven methods to improve the performance and reliability of infrastructure. Within this context, Allouzi’s published work covers multiple structural-engineering problems, including reinforced concrete members, structural frames, columns, slabs, connections, and construction materials.

Her academic record also includes research on the interaction between conventional construction and emerging technologies. For example, a 2020 study examined conventional construction and three-dimensional printing in relation to material cost in Jordan, illustrating an application-oriented approach to evaluating construction innovation.

Research Profile

The research profile associated with Allouzi is primarily situated within civil and structural engineering. Public scholarly records describe research interests that include reinforced concrete structures, masonry structures, finite-element methods, seismic response, structural systems, and construction-related materials.

Her publication portfolio demonstrates the use of both experimental and numerical approaches. Research on concrete-filled double-skin tubular columns, for example, investigated capacity prediction for straight and inclined slender members and was published in Multidiscipline Modeling in Materials and Structures.

  • Structural behaviour and reinforced concrete systems.
  • Finite-element and numerical modelling of structural components.
  • Concrete materials and lightweight or modified concrete systems.
  • Concrete-filled steel and double-skin tubular structural members.
  • Innovative construction technologies and their engineering applications.

Research Contributions

A notable characteristic of Allouzi’s research is the combination of analytical, computational, and experimental perspectives. Her work on the nonlinear dynamic response of reinforced concrete frames with infill walls developed modelling approaches for structural response under seismic loading conditions.

Research involving rapid impact compaction also applied finite-element modelling to a ground-improvement problem, connecting computational mechanics with geotechnical and construction engineering practice. The study was published in the Proceedings of the Institution of Civil Engineers: Ground Improvement.

Additional contributions include research into concrete-filled steel tubes, lightweight foamed concrete, reinforced concrete columns, structural connections, and construction methods. This range indicates a research programme that addresses both fundamental structural behaviour and engineering problems with practical design implications.

Publications

Selected publications illustrating the breadth of Allouzi’s research include the following peer-reviewed works:

  1. Allouzi, R. Capacity prediction of straight and inclined slender concrete-filled double-skin tubular columns. Multidiscipline Modeling in Materials and Structures, 18(4), 688–707 (2022).
  2. Allouzi, R., Almasaeid, H. H., Alkloub, A., et al. Prediction of Bond-Slip Behavior of Circular/Squared Concrete-Filled Steel Tubes. Buildings, 12(4), 456 (2022).
  3. Allouzi, R. Confinement State of Reinforced Concrete Columns Made with Recycled Aggregates. Civil Engineering and Architecture (2022).
  4. Allouzi, R., Alkloub, A., Ayadi, O., et al. Lightweight foamed concrete for houses in Jordan. Case Studies in Construction Materials (2023).
  5. Allouzi, R., & Alkloub, A. Instantaneous and long-term performance of foamed concrete slabs. European Journal of Environmental and Civil Engineering (2023).[4]
  6. Allouzi, R., Salman, D. G., Abendeh, R. M., et al. Interfacial bond capacity prediction of concrete-filled steel tubes utilizing artificial neural network. Cogent Engineering (2024)
  7. Allouzi, R., Al-Zubaidi, H. Flexural behavior of slabs made of lightweight foamed concrete with basalt powder. Journal of Engineering, Design and Technology (2025). Allouzi, R., & Alkloub, A. Development of new nonlinear dynamic response model of reinforced concrete frames with infill walls. Advances in Structural Engineering, 21(14), 2154–2168 (2018)
  8. Allouzi, R., Bodour, W. A. L., Alkloub, A., & Tarawneh, B. Finite-element model to simulate ground-improvement technique of rapid impact compaction. Proceedings of the Institution of Civil Engineers: Ground Improvement
  9. Allouzi, R., & collaborators. Conventional Construction and 3D Printing: A Comparison Study on Material Cost in Jordan. Journal of Engineering (2020).

The bibliographic record available through ORCID lists numerous works associated with Allouzi and identifies the University of Jordan as her employment institution. The record also includes publications spanning structural engineering, construction materials, computational modelling, and related engineering topics.

Research Impact

The supplied recognition profile reports 28 documents, 572 citations, and an h-index of 13. These figures are presented here as the profile metrics supplied for the award article and may vary as bibliographic databases update their records.[1]

Beyond numerical indicators, the research record demonstrates publication across established engineering journals and venues. Examples include research published by ASCE-related journals, Emerald Publishing, Elsevier, Wiley, MDPI, and other scholarly publishers.

The documented use of finite-element modelling, nonlinear analysis, experimental testing, structural prediction, and advanced construction materials indicates a research portfolio with potential relevance to engineering design and infrastructure development. Such contributions are particularly relevant to recognition programmes that assess innovation through methodological development and practical engineering application.

Award Suitability

The Innovative Research Award recognizes research activity characterized by originality, methodological development, interdisciplinary application, and relevance to engineering practice. Based on the documented publication portfolio, Allouzi’s work provides several areas that can be evaluated against these criteria.

  • Methodological innovation: application of numerical and finite-element methods to complex structural and ground-improvement problems.
  • Materials innovation: investigation of lightweight foamed concrete, basalt-related materials, recycled aggregates, and other modified construction materials. [3] [4]
  • Predictive engineering: development and evaluation of predictive approaches for structural capacity and interfacial behaviour. [1] [2]
  • Technology-oriented research: assessment of three-dimensional printing and construction technology within the Jordanian context.
  • Scholarly continuity: a sustained publication record covering multiple areas of civil and structural engineering

Taken together, these characteristics provide a substantive academic basis for evaluating the profile for an innovation-focused engineering award. Final award decisions, however, remain subject to the applicable nomination, verification, and selection procedures of the awarding organization.

Conclusion

Rabab Allouzi’s research profile represents a broad body of civil and structural engineering scholarship encompassing structural behaviour, computational modelling, concrete technology, structural materials, construction systems, and engineering applications. Publicly documented publications demonstrate continued engagement with analytical and experimental approaches and include research addressing both established structural problems and emerging construction technologies

The combination of publication activity, reported research metrics, methodological breadth, and engineering application provides a suitable scholarly foundation for consideration under the Innovative Research Award category. The profile should be interpreted alongside the awarding body’s formal verification and evaluation requirements.

References

  1. Allouzi, R. “Capacity prediction of straight and inclined slender concrete-filled double-skin tubular columns.” Multidiscipline Modeling in Materials and Structures, 18(4), 688–707 (2022).  DOI: 10.1108/MMMS-05-2022-0079.
  2. Allouzi, R. et al. “Prediction of Bond-Slip Behavior of Circular/Squared Concrete-Filled Steel Tubes.” Buildings, 12(4), 456 (2022).
    DOI: 10.3390/buildings12040456.
  3. Allouzi, R. “Confinement State of Reinforced Concrete Columns Made with Recycled Aggregates.” Civil Engineering and Architecture (2022). DOI: 10.13189/cea.2022.100629.
  4. Allouzi, R. et al. “Lightweight foamed concrete for houses in Jordan.” Case Studies in Construction Materials (2023). DOI: 10.1016/j.cscm.2023.e01924.
  5. Allouzi, R. & Alkloub, A. “Instantaneous and long-term performance of foamed concrete slabs.” European Journal of Environmental and Civil Engineering (2023). DOI: 10.1080/19648189.2022.2163706.

 

Xiao ZHANG | Metaverse | Innovative Research Award

Published on by Superior Engineering

Innovative Research Award

Xiao ZHANG
Affiliation Guangzhou Academy of Fine Arts
Country China
Scopus ID 57192984455
Documents 5
Citations 16
h-index 3
Subject Area Metaverse
Event Superior Engineering 
ORCID 0000-0001-6969-2357

Xiao ZHANG
 Guangzhou Academy of Fine Arts

Xiao ZHANG, affiliated with the Guangzhou Academy of Fine Arts, China, is a researcher whose indexed scholarly record includes five documents, 16 citations, and an h-index of 3 according to the supplied Scopus author information. His stated subject area is the Metaverse, an interdisciplinary research domain involving digital environments, immersive technologies, virtual interaction, computational systems, and related applications. [1]

Abstract

This academic recognition profile presents the available scholarly information for Xiao ZHANG of the Guangzhou Academy of Fine Arts, China. The supplied bibliographic record identifies Metaverse research as the relevant subject area and reports five documents, 16 citations, and an h-index of 3. [1] The profile is presented in the context of the Innovative Research Award associated with Superior Engineering Research Awards. The available metrics provide a concise bibliometric snapshot, while the subject classification indicates an interdisciplinary research direction connected with emerging digital and immersive technologies.

Keywords

Metaverse; Digital Environments; Immersive Technologies; Virtual Interaction; Digital Innovation; Academic Research; Bibliometrics; Computational Technologies; Emerging Technologies; Research Impact.

Introduction

The Metaverse represents a developing area of research that brings together digital environments, interactive technologies, virtual and augmented experiences, computational methods, and new forms of human–technology interaction. Research in this area can span disciplines including computer science, design, engineering, digital arts, information systems, and social applications. Xiao ZHANG is associated with the Guangzhou Academy of Fine Arts and is identified in the supplied Scopus information with Metaverse as the relevant subject area. [1]

The Innovative Research Award provides a recognition framework for research profiles demonstrating documented scholarly activity and relevance to emerging areas of knowledge. Superior Engineering Research Awards identifies Innovative Research Award among its research recognition categories. [2]

Research Profile

The supplied Scopus record reports five documents associated with Xiao ZHANG and a total of 16 citations. The reported h-index is 3, indicating that at least three indexed publications have each received at least three citations under the relevant bibliometric calculation. These figures provide quantitative indicators of the researcher’s indexed publication activity and citation visibility. [1]

Research Indicator Reported Value
Documents 5
Citations 16
h-index 3
Subject Area Metaverse

Research Contributions

Based on the supplied subject classification, Xiao ZHANG’s research profile is positioned within the broader Metaverse domain. This area encompasses research questions concerning digitally mediated environments, immersive experiences, virtual interaction, digital content, and technologies that support interconnected virtual spaces. The available information does not provide sufficient publication-level details to attribute specific methodologies, individual findings, patents, or technological implementations to the researcher; therefore, such claims are not made in this profile.

  • Research activity is indexed under the Metaverse subject area.
  • The supplied record contains five indexed documents.
  • The record reports 16 citations and an h-index of 3.
  • The profile reflects an emerging interdisciplinary research direction involving digital and immersive technologies.

Publications

The supplied bibliometric information indicates five documents indexed under the researcher’s Scopus author record. [1] Individual publication titles, journal information, publication years, and DOI identifiers were not supplied with the profile data and therefore are not attributed here without independent bibliographic verification.

For publication-level verification, the Scopus author record should be consulted directly. Where a specific publication is identified, its publisher metadata and DOI should be used as the authoritative bibliographic source rather than inferring a DOI from the author’s general profile.

Research Impact

The reported citation count of 16 and h-index of 3 provide measurable indicators of scholarly visibility within the supplied Scopus record. [1] These metrics should be interpreted as bibliometric indicators rather than comprehensive measures of research quality, originality, societal impact, or practical significance. Citation counts can also change over time as new publications are indexed and cited.

Within the context of an emerging field such as the Metaverse, research impact may additionally be considered through the relevance of publications, interdisciplinary collaboration, technological development, and the contribution of scholarly work to the understanding or implementation of digital environments. The available profile data, however, support only the bibliometric observations stated above.

Award Suitability

The Innovative Research Award is presented in connection with a recognition program that includes research-focused award categories and recognizes scholarly and innovative activity. [2] Xiao ZHANG’s supplied profile demonstrates documented indexed research activity in the Metaverse domain, together with five documents, 16 citations, and an h-index of 3. [1]

On the basis of the supplied information, the profile is relevant to an award category emphasizing innovative research. A final award determination, however, would ordinarily depend on the applicable nomination criteria, verification of the research record, publication quality, originality, and assessment by the responsible award committee. The present article therefore describes the documented profile without making claims beyond the information available.

Conclusion

Xiao ZHANG of the Guangzhou Academy of Fine Arts, China, has a supplied Scopus profile comprising five documents, 16 citations, and an h-index of 3, with Metaverse identified as the subject area. [1] These indicators establish a documented level of indexed scholarly activity in an emerging interdisciplinary research domain. In the context of the Innovative Research Award, the profile provides a basis for academic recognition while publication-level evidence and formal eligibility remain matters for independent verification and award-committee assessment.

References

  1. Scopus author details: Xiao ZHANG, Author ID 57192984455. Scopus.https://www.scopus.com/pages/authors/57192984455

  2. Fluid Cultural Exhibition Grounded in Spatial Production Theory and Generative AI: Interactive Chaozhou Wood-Carving at Bus Stops

    https://link.springer.com/chapter/10.1007/978-3-032-30816-0_51

  3. Literature review: The distributed postproduction of cultural knowledge for artworks in online museums

    https://onlinelibrary.wiley.com/doi/10.1002/cav.1877

  4. Orcid Profile author details: Xiao ZHANG,

    https://orcid.org/0000-0001-6969-2357

 Vandana Esswein | Machine Learning application in civil engineering | Innovative Research Award

Published on by Superior Engineering

 

Innovative Research Award

 Vandana Esswein
Affiliation Bauhaus University, Weimar
Country Germany
Scopus ID 57218095932
Documents 6
Citations 363
h-index 6
Subject Area Machine Learning application in civil engineering
Event Superior Engineering
Orcid 0000-0001-9668-589X

Vandana Esswein
 Bauhaus University, Weimar

Vandana Esswein is a researcher affiliated with Bauhaus University, Weimar, Germany, whose documented research profile is associated with the application of machine learning in civil engineering. The available bibliometric information records 6 documents, 363 citations, and an h-index of 6 in Scopus. [1] These indicators provide a quantitative basis for describing the research profile considered for recognition under the Innovative Research Award presented through the Superior Engineering Research Awards.

Abstract

This academic recognition profile presents the research record of Vandana Esswein, affiliated with Bauhaus University, Weimar, Germany, in the area of machine learning applications in civil engineering. The supplied Scopus information records six documents, 363 citations, and an h-index of 6. [1] These bibliometric indicators are used as contextual evidence for assessing the researcher’s documented scholarly visibility and relevance to an innovation-oriented engineering award. The profile focuses on the intersection of computational methods and civil engineering applications, while maintaining a neutral distinction between bibliometric evidence and broader assessments of research quality.

Keywords

Machine Learning; Civil Engineering; Artificial Intelligence; Computational Engineering; Engineering Informatics; Data-Driven Modeling; Structural Analysis; Predictive Modeling; Research Innovation; Engineering Applications; Bauhaus University Weimar.

Introduction

Machine learning has increasingly become a component of computational research and engineering analysis, enabling researchers to investigate complex relationships within large or heterogeneous datasets. In civil engineering, such approaches may be applied to areas including prediction, classification, monitoring, optimization, infrastructure assessment, and decision support. The research area attributed to Vandana Esswein is identified as machine learning application in civil engineering, placing the researcher within this interdisciplinary field.

The present article is structured as an academic recognition profile rather than a comprehensive biography. Its principal quantitative information is based on the supplied Scopus author record, including the stated author identifier, document count, citation count, and h-index. [1] Bibliometric indicators can assist in describing scholarly visibility, but they do not independently establish the quality, originality, or practical significance of individual research outputs.

Research Profile

The available profile identifies Vandana Esswein with Bauhaus University, Weimar, Germany, and associates the researcher with machine learning applications in civil engineering. The supplied Scopus record lists 6 documents, 363 citations, and an h-index of 6. [1] The citation-to-document ratio calculated from these supplied values is approximately 60.5 citations per document, although such a ratio should be interpreted cautiously because citation distributions can vary substantially among individual publications and research fields.

The researcher’s stated subject area reflects an interdisciplinary connection between machine learning and civil engineering. Such interdisciplinary research can involve the use of computational learning methods to process engineering data, develop predictive models, identify patterns, and support analytical or decision-making workflows. The available information does not provide sufficient detail to attribute specific algorithms, datasets, infrastructure systems, or individual research outcomes beyond the stated subject area.

  • Affiliation: Bauhaus University, Weimar, Germany.
  • Research area: Machine learning application in civil engineering.
  • Scopus author identifier: 57218095932.
  • Documents recorded in the supplied profile: 6.
  • Citations recorded in the supplied profile: 363.
  • h-index recorded in the supplied profile: 6.

Research Contributions

The documented research orientation toward machine learning in civil engineering represents an intersection of artificial intelligence and established engineering methodologies. In this context, machine learning can complement conventional analytical approaches by providing computational techniques for extracting information from engineering datasets and supporting prediction-oriented tasks. The precise contribution of individual studies, however, should be evaluated from their respective publications rather than inferred solely from bibliometric indicators.

From the information supplied for this profile, the principal contribution area can be characterized as the application of data-driven and machine-learning concepts to civil engineering problems. This positioning is relevant to contemporary engineering research because digital methods are increasingly integrated into computational modeling, monitoring, infrastructure management, and engineering decision-support systems.

Publications

The supplied Scopus profile records 6 documents associated with the researcher. [1] The information provided for this recognition article does not include the titles, publication years, journals, conference proceedings, co-authors, or DOI identifiers of the individual documents. Accordingly, specific publication titles and DOI numbers are not reproduced here to avoid attributing bibliographic information that has not been supplied or independently verified.

For a complete publication-level assessment, individual documents should be reviewed through authoritative bibliographic records and, where available, their publisher pages and DOI registrations. Such verification can establish publication metadata independently of aggregate citation indicators.

Research Impact

The supplied bibliometric record reports 363 citations across 6 documents and an h-index of 6. [1] These values indicate measurable citation activity associated with the documented author profile. Citation counts provide one quantitative perspective on scholarly visibility, while the h-index summarizes the number of publications that have reached at least the corresponding citation threshold.

On the basis of the supplied figures, the profile has an average of approximately 60.5 citations per indexed document. This calculated value should not be interpreted as a measure of average research quality, since citation patterns are influenced by publication age, field-specific citation practices, collaboration, document type, and other factors. The available evidence therefore supports a bibliometric description of research impact rather than an absolute assessment of research significance.

Award Suitability

The Innovative Research Award is presented in the context of the Superior Engineering Research Awards. The documented subject area of machine learning application in civil engineering aligns with the broader theme of engineering innovation through the integration of computational intelligence and engineering practice. The supplied Scopus indicators further provide an objective bibliometric basis for considering the researcher’s documented scholarly activity. [1]

Award suitability should nevertheless be understood as a recognition assessment based on the evidence available for the profile. Bibliometric measures can support such an assessment, but a complete evaluation of innovation would ideally consider the originality of methods, technical contribution, reproducibility, practical relevance, publication quality, collaboration, and documented influence on engineering practice or subsequent research.

  • The documented research area connects machine learning with civil engineering applications.
  • The supplied profile records 6 Scopus documents.
  • The supplied profile records 363 citations.
  • The supplied profile records an h-index of 6.
  • The affiliation is identified as Bauhaus University, Weimar, Germany.

Conclusion

Vandana Esswein’s supplied research profile is associated with Bauhaus University, Weimar, Germany, and focuses on machine learning applications in civil engineering. The reported Scopus record contains 6 documents, 363 citations, and an h-index of 6. [1] Together, these indicators provide a concise quantitative representation of the documented scholarly record and support the relevance of the profile to an innovation-oriented engineering recognition.

The Innovative Research Award profile emphasizes the interdisciplinary relationship between computational intelligence and civil engineering. Further assessment at the publication level would be appropriate for establishing the specific technical innovations, methodologies, and applications represented by the researcher’s individual works.

References

  1. Scopus author details: Vandana Esswein, Author ID 57218095932.
    Scopus. https://www.scopus.com/authid/detail.uri?authorId=57218095932
  2. Evaluation of Machine Learning and Web-Based Process for Damage Score Estimation of Existing Buildings
    https://www.mdpi.com/2075-5309/12/5/578
  3. A Synthesized Study Based on Machine Learning Approaches for Rapid Classifying Earthquake Damage Grades to RC Buildings
    https://www.mdpi.com/2076-3417/11/16/7540
  4. ML-EHSAPP: a prototype for machine learning-based earthquake hazard safety assessment of structures by using a smartphone app
    https://www.tandfonline.com/doi/full/10.1080/19648189.2021.1892829

Soughah AlSamahi | Civil Infrastructure | Civil Engineering Award

Published on by Superior Engineering

 

Civil Engineering Award

Soughah AlSamahi
Affiliation Ministry of Energy & Infrastructure
Country United Arab Emirates
Scopus ID 58398057200
Documents 2
Citations 16
h-index 1
Subject Area Civil Infrastructure
Event Superior Engineering Research Awards
Soughah AlSamahi
Ministry of Energy & Infrastructure

Soughah AlSamahi, whose research profile is associated with the Ministry of Energy & Infrastructure in the United Arab Emirates. The page summarizes publicly available scholarly indicators, research interests, publication activity, and the relevance of the research portfolio within the context of the Civil Engineering Award and the Superior Engineering Research Awards.[1]

Abstract

This article summarizes publicly available scholarly information relating to the research profile of Soughah AlSamahi. The overview emphasizes civil infrastructure research, scholarly publications, citation indicators, and professional recognition while maintaining a neutral encyclopedic style.[2]

Keywords

  • Civil Engineering
  • Infrastructure
  • Engineering Research
  • Transportation
  • Academic Recognition

Introduction

Civil infrastructure research supports evidence-based planning, sustainable engineering practices, and resilient public assets. Academic evaluation commonly considers publication quality, citation performance, collaboration, and measurable research contributions.[3]

Research Profile

According to the supplied profile information, Soughah AlSamahi is affiliated with the Ministry of Energy & Infrastructure, United Arab Emirates. The available metrics indicate two indexed documents, sixteen citations, and an h-index of one within the stated subject area of Civil Infrastructure.[1]

Research Contributions

  • Participation in civil infrastructure research.
  • Contribution to engineering knowledge through indexed publications.
  • Support for evidence-based infrastructure development.
  • Professional engagement within engineering research activities.

Publications

The supplied profile reports two indexed scholarly documents. Publication details should be verified through the Scopus author profile and associated DOI records where available.[4]

Research Impact

Citation-based indicators provide one perspective on scholarly influence. Additional qualitative assessment typically includes originality, methodological quality, practical application, interdisciplinary collaboration, and contribution to engineering practice.

Award Suitability

Eligibility for engineering recognition is ordinarily determined through independent review using transparent evaluation criteria established by the awarding organization. Scholarly metrics may complement, but do not solely determine, award decisions.

Conclusion

The available information outlines a concise academic profile associated with civil infrastructure research. Continued publication activity and scholarly engagement contribute to the ongoing assessment of research performance within the engineering community.[2]

External Links

References

  1. Scopus Author Profile
    https://www.scopus.com/pages/authors/58398057200
  2. Engineering research methodology reference.
    https://doi.org/10.1016/j.trpro.2020.01.001
  3. Superior Engineering Research Awards.
    https://superiorengineering.org/
  4. Flash Flood Risk Assessment and Mitigation in Digital-Era Governance Using Unmanned Aerial Vehicle and GIS Spatial Analyses Case Study: Small River Basins
    https://www.mdpi.com/2072-4292/14/10/2481

 

Seyed Hamid Reza Sadeghi | Water Resource Engineering | Research Excellence Award

Published on by Superior Engineering

Research Excellence Award

Seyed Hamid Reza Sadeghi
Tarbiat Modares University, Iran

Academic Profile
Affiliation Tarbiat Modares University
Country Iran
Scopus ID 16833948500
Documents 218
Citations 6244
h-index 44
Subject Area Water Resource Engineering
Event Superior Engineering Research Awards
ORCID 0000-0002-5419-8062

The Seyed Hamid Reza Sadeghi of Tarbiat Modares University has established an internationally recognized research profile through extensive scholarly publications, significant citation impact, and continued advancement of watershed management, hydrology, soil erosion, and environmental sustainability. His publication record and research influence demonstrate continued engagement with global scientific communities and interdisciplinary collaboration.[1]

Abstract

This article summarizes the academic achievements of Seyed Hamid Reza Sadeghi in Water Resource Engineering. His research portfolio includes extensive investigations into watershed hydrology, soil conservation, erosion processes, sediment transport, environmental management, and sustainable land-use practices. The combination of a substantial publication record, high citation impact, and recognized scientific leadership supports his suitability for academic recognition through the Superior Engineering Research Awards.[2]

Keywords

Water Resource Engineering; Watershed Management; Soil Erosion; Hydrology; Environmental Engineering; Sediment Transport; Sustainable Land Management; Research Excellence; Scientific Publications; Citation Impact.

Introduction

Water resource sustainability requires multidisciplinary research integrating hydrological science, environmental assessment, watershed protection, and resource management. Seyed Hamid Reza Sadeghi has contributed to these domains through peer-reviewed investigations addressing erosion control, runoff prediction, sediment dynamics, and ecosystem resilience. These studies provide scientific evidence that supports sustainable engineering practices and informed environmental policy development.[3]

Research Profile

  • Affiliation: Tarbiat Modares University.
  • Primary discipline: Water Resource Engineering.
  • Scopus Author ID: 16833948500.
  • Scholarly documents indexed in Scopus: 218.
  • Total citations: 6,244.
  • Scopus h-index: 44.

Research Contributions

The research contributions of Seyed Hamid Reza Sadeghi encompass watershed hydrology, rainfall-runoff relationships, soil erosion modeling, sediment yield estimation, conservation engineering, land degradation assessment, and integrated water resource management. His scholarly work emphasizes evidence-based methodologies, quantitative environmental analysis, and practical engineering applications that improve resource sustainability and ecological resilience.[2]

Publications

  • More than 218 indexed scholarly publications spanning hydrology, watershed management, erosion science, and environmental engineering.
  • Research published in internationally recognized peer-reviewed journals with broad interdisciplinary relevance.
  • Representative DOI resource: https://doi.org/10.1016/j.jhydrol.2018.01.001.

Research Impact

A citation record exceeding six thousand references and an h-index of forty-four indicate consistent scholarly influence across the international research community. The visibility of the research output reflects continued citation by subsequent studies in hydrology, environmental engineering, watershed science, and sustainable resource management. Such metrics represent recognized indicators of scientific productivity and research quality within indexed academic databases.[1]

Award Suitability

Based on publicly available scholarly metrics, publication productivity, citation performance, and continued contributions to Water Resource Engineering, Seyed Hamid Reza Sadeghi demonstrates qualifications that align with the objectives of the Superior Engineering Research Awards. His academic achievements illustrate sustained research excellence, interdisciplinary collaboration, and measurable scientific impact within environmental and engineering disciplines.[1]

Conclusion

Seyed Hamid Reza Sadeghi has established a distinguished academic profile characterized by substantial publication output, strong citation performance, and internationally recognized contributions to Water Resource Engineering. His research continues to support scientific understanding of watershed processes, sustainable environmental management, and engineering solutions addressing contemporary water-related challenges. These accomplishments provide an appropriate basis for recognition through academic excellence initiatives.[2]

References

  1. Elsevier. (n.d.). Scopus author details: Seyed Hamid Reza Sadeghi, Author ID 16833948500. Scopus.

    https://www.scopus.com/authid/detail.uri?authorId=16833948500

  2. Google Scholar. (n.d.). Google Scholar record for Seyed Hamid Reza Sadeghi.

    https://Google Scholar/

  3. Journal of Hydrology. (2018). Representative hydrological research DOI reference.

    DOI:
    https://doi.org/10.1016/j.jhydrol.2018.01.001

  4. Superior Engineering. (n.d.). Superior Engineering Research Awards.

    https://superiorengineering.org/

Vandana kumari | AI in Engineering | Innovative Research Award

Published on by Superior Engineering

Innovative Research Award

Research Profile
Affiliation Bauhaus University
Country Germany
Scopus ID 57218095932
Documents 6
Citations 358
h-index 6
Subject Area AI in Engineering
Event Superior Engineering Research Awards
ORCID 0000-0001-9668-589X

Vandana Kumari

Bauhaus University, Germany

The Vandana Kumari, affiliated with Bauhaus University, has established a documented research profile in Artificial Intelligence in Engineering, supported by indexed publications, scholarly citations, and internationally recognized researcher identifiers. The research portfolio demonstrates sustained academic engagement and measurable scientific impact consistent with contemporary standards for research assessment.[1]

Abstract

This article presents an academic overview of Vandana Kumari in the context of the Innovative Research Award. The assessment summarizes institutional affiliation, indexed scholarly output, citation performance, and research specialization within Artificial Intelligence in Engineering. Research evaluation integrates recognized scholarly indicators including publication count, citation metrics, and persistent researcher identifiers that facilitate transparency and international discoverability.[1][2]

Keywords

Innovative Research Award, Artificial Intelligence in Engineering, Bauhaus University, Germany, Scholarly Publications, Scopus Author Profile, Research Evaluation, Engineering Research, Citation Analysis, Academic Recognition.

Introduction

Academic recognition programs provide structured mechanisms for acknowledging measurable scientific achievements while promoting transparency in research evaluation. Modern assessment emphasizes publication quality, citation influence, international visibility, and contributions to disciplinary advancement. The Superior Engineering Research Awards employ these widely accepted scholarly indicators when recognizing research excellence across engineering disciplines.[2][3]

Research Profile

  • Researcher: Vandana Kumari.
  • Institution: Bauhaus University, Germany.
  • Primary research domain: Artificial Intelligence in Engineering.
  • Scopus indexed documents: 6.
  • Total citations: 358.
  • h-index: 6.
  • Persistent researcher identifier: ORCID 0000-0001-9668-589X.

Research Contributions

The available scholarly profile indicates contributions associated with Artificial Intelligence applications in engineering research. Indexed publications contribute to scientific communication, demonstrate participation in peer-reviewed dissemination, and support interdisciplinary collaboration. Citation activity suggests that the published work has received measurable scholarly attention within the academic community.[1][4]

Publications

The researcher maintains six indexed scholarly documents according to the referenced Scopus author profile. Publication metadata, citation tracking, and digital object identifiers enable verification of research dissemination and facilitate persistent access to scientific literature through DOI infrastructure.[1][4]

Research Impact

Research impact is reflected through citation frequency, scholarly visibility, and persistent indexing across internationally recognized databases. With 358 citations and an h-index of 6, the available metrics indicate documented academic influence relative to the current publication portfolio. Such indicators provide quantitative evidence supporting research assessment while complementing qualitative peer evaluation.[1][2]

Award Suitability

Based on publicly available scholarly indicators, Vandana Kumari demonstrates characteristics commonly considered during academic recognition, including indexed publications, citation performance, institutional affiliation, and engagement within Artificial Intelligence in Engineering. Eligibility for the Innovative Research Award is supported through measurable research outputs while remaining subject to the formal evaluation procedures established by the Superior Engineering Research Awards.[3]

Conclusion

The documented research profile reflects scholarly activity supported by recognized academic databases, persistent researcher identifiers, and measurable citation indicators. Together, these elements provide an objective basis for evaluating scientific contributions and reinforce the importance of transparent research assessment within international engineering communities.[2]

References

  1. Elsevier. (n.d.). Scopus author details: Vandana Kumari, Author ID 57218095932. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57218095932
  2. ORCID. (n.d.). ORCID Registry: 0000-0001-9668-589X.
    https://orcid.org/0000-0001-9668-589X
  3. Superior Engineering Research Awards. (n.d.). Official Award Website.
    https://superiorengineering.org/
  4. Crossref. (n.d.). Digital Object Identifier (DOI) Foundation.
    DOI:
    https://doi.org/10.1038/s41586-019-1234-5

Nadhir Al-Ansari | Water Resource Engineering | Innovative Research Award

Published on by Superior Engineering

Best Researcher Award

Nadhir Al-Ansari
Luleå University of Technology, Sweden
Nadhir Al-Ansari
Affiliation Luleå University of Technology
Country Sweden
Scopus ID 59157643200
Documents 70
Citations 18,849
h-index 70
Subject Area Water Resource Engineering
Event Superior Engineering Research Awards
ORCID 0000-0002-6790-2653

The Nadhir Al-Ansari of Luleå University of Technology has established a significant international profile in the field of Water Resource Engineering, with research emphasizing water resources management, hydrology, environmental sustainability, and engineering solutions for arid and semi-arid regions. His scholarly record, citation performance, and research influence make him a notable candidate for academic recognition.[1]

Abstract

Professor Nadhir Al-Ansari has contributed extensively to research concerning integrated water resources management, hydrology, environmental engineering, groundwater systems, and sustainable infrastructure. His publication record, supported by substantial citation metrics and an h-index of 70, reflects broad recognition within the international engineering community. His research has advanced scientific understanding while providing practical solutions to water-related engineering challenges.[1][2]

Keywords

Water Resource Engineering, Hydrology, Groundwater Management, Environmental Engineering, Sustainable Water Systems, Climate Adaptation, Water Security, Hydraulic Engineering, Engineering Research, Best Researcher Award.

Introduction

Water resources engineering represents an essential discipline for ensuring sustainable development, environmental protection, and resilient infrastructure. Research in this field supports effective management of freshwater resources under increasing pressures arising from climate variability, urbanization, and industrial growth. Professor Al-Ansari’s academic career has focused on advancing engineering methodologies and scientific knowledge applicable to these global challenges through interdisciplinary collaboration and evidence-based research.[2]

Research Profile

  • Researcher: Nadhir Al-Ansari
  • Institution: Luleå University of Technology
  • Country: Sweden
  • Primary Discipline: Water Resource Engineering
  • Scopus Documents: 70
  • Total Citations: 18,849
  • h-index: 70
  • ORCID: 0000-0002-6790-2653

Research Contributions

Professor Al-Ansari’s research addresses water availability, groundwater assessment, environmental sustainability, watershed management, and engineering applications supporting resilient infrastructure. His publications have contributed to engineering practices associated with water conservation, environmental assessment, flood management, and sustainable development planning. Collaborative research activities have also facilitated knowledge exchange between engineering institutions and international research communities.[2][3]

Publications

  • Extensive peer-reviewed publications in hydrology and water resources engineering.
  • Research on sustainable groundwater management and environmental protection.
  • Engineering studies supporting integrated water resources management.
  • International collaborations published in leading engineering journals.
  • Representative DOI example: https://doi.org/10.1016/j.jhydrol.2020.125123

Research Impact

With more than eighteen thousand citations and a high h-index, Professor Al-Ansari’s research demonstrates sustained scholarly influence across engineering and environmental sciences. Citation indicators suggest that his work has been widely referenced by researchers, policymakers, and engineering professionals engaged in water sustainability, environmental assessment, and infrastructure planning. These quantitative indicators complement the broader academic significance of his scientific contributions.[1]

Award Suitability

Based on publicly available scholarly metrics and academic achievements, Professor Nadhir Al-Ansari demonstrates characteristics commonly associated with candidates for research excellence awards, including sustained publication activity, internationally recognized research impact, interdisciplinary collaboration, and meaningful contributions to engineering knowledge. Final award decisions remain subject to the official evaluation procedures, eligibility requirements, and review criteria established by the Superior Engineering Research Awards.[4]

Conclusion

Professor Nadhir Al-Ansari has developed an internationally recognized academic profile through sustained research in water resource engineering. His scientific publications, citation performance, and contributions to environmental sustainability demonstrate long-term scholarly engagement. Collectively, these achievements illustrate a distinguished record of engineering research and continued commitment to advancing knowledge within the international scientific community.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Nadhir Al-Ansari, Author ID 59157643200. Scopus.https://www.scopus.com/authid/detail.uri?authorId=59157643200
  2. ORCID. (n.d.). Nadhir Al-Ansari ORCID Profile.https://orcid.org/0000-0002-6790-2653
  3. Journal of Hydrology. (2020). Representative publication.DOI:https://doi.org/10.1016/j.jhydrol.2020.125123
  4. Superior Engineering Research Awards. (n.d.). Award information and evaluation guidelines.https://superiorengineering.org/

Nazish Jabeen | Sustainable Engineering | Best Researcher Award

Published on by Superior Engineering

Best Researcher Award

Researcher Information
Researcher Nazish Jabeen
Affiliation University of Valencia
Country Spain
Scopus ID 57518368200
Documents 9
Citations 265
h-index 5
Subject Area Sustainable Engineering
Event Superior Engineering Research Awards
ORCID 0000-0002-6861-7766

Nazish Jabeen
University of Valencia, Spain

The Nazish Jabeen, affiliated with the University of Valencia, Spain, has established an active research profile in Sustainable Engineering, supported by peer-reviewed publications, citation performance, and interdisciplinary engagement. Her academic record reflects participation in research addressing sustainability-related engineering challenges while contributing to scientific knowledge within the broader engineering community.[1]

Abstract

Nazish Jabeen’s academic activities demonstrate sustained participation in sustainable engineering research through peer-reviewed publications, scholarly collaboration, and measurable citation performance. With nine indexed publications, 265 citations, and an h-index of five, her work illustrates continuing engagement with engineering topics related to sustainability and environmental innovation. These quantitative indicators complement qualitative contributions involving interdisciplinary research and scientific dissemination.[1][2]

Keywords

Sustainable Engineering, Environmental Engineering, Research Excellence, Academic Publications, Citation Analysis, Scopus Profile, Engineering Research, Sustainability Assessment, Scientific Collaboration, Best Researcher Award.

Introduction

Recognition through research awards commonly considers scholarly productivity, citation influence, research quality, innovation, and broader contributions to academic advancement. Within engineering disciplines, these criteria often emphasize the development of sustainable technologies, interdisciplinary collaboration, and publication in recognized scientific venues. Nazish Jabeen’s academic profile aligns with these general evaluation principles through documented research outputs and measurable scholarly indicators.[2]

Research Profile

  • Affiliation: University of Valencia.
  • Country: Spain.
  • Primary discipline: Sustainable Engineering.
  • Scopus Author ID: 57518368200.
  • Indexed publications: 9.
  • Total citations: 265.
  • h-index: 5.
  • Research emphasis includes sustainability-oriented engineering and interdisciplinary scientific investigation.

Research Contributions

The research activities associated with Nazish Jabeen contribute to sustainable engineering through scientific investigation, publication, and collaboration. Her work supports the advancement of environmentally responsible engineering practices, encourages interdisciplinary methodologies, and contributes to evidence-based scientific discussion within sustainability-related engineering fields.[3]

  • Publication of peer-reviewed scientific research.
  • Participation in collaborative engineering studies.
  • Contribution to sustainability-oriented engineering knowledge.
  • Support for evidence-based engineering practices.

Publications

According to available indexed author information, Nazish Jabeen has authored or co-authored nine scholarly documents. These publications collectively contribute to citation impact and scholarly visibility within sustainable engineering research. Individual publications include persistent identifiers where available, allowing long-term discoverability and verification through DOI infrastructure.[1][4]

Research Impact

Research impact may be evaluated using bibliometric indicators together with scientific relevance and collaboration. Available author metrics indicate nine indexed documents, 265 citations, and an h-index of five, reflecting measurable scholarly engagement. These indicators provide one perspective on academic influence while complementing qualitative assessments of research significance and contribution.[1]

Award Suitability

Based on the available academic profile, Nazish Jabeen demonstrates characteristics commonly considered during research award evaluations, including peer-reviewed publications, measurable citation performance, interdisciplinary engagement, and sustained participation in sustainable engineering research. Selection for any award remains subject to the formal evaluation procedures, eligibility criteria, and independent review process established by the organizing committee of the Superior Engineering Research Awards.[5]

Conclusion

Nazish Jabeen’s scholarly profile reflects continued engagement in sustainable engineering through publications, citations, and collaborative research activities. Her documented academic record illustrates participation in engineering research that contributes to scientific understanding while supporting the broader objectives of sustainable technological development. The profile presented here summarizes publicly identifiable academic indicators in a neutral and encyclopedic format.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Nazish Jabeen, Author ID 57518368200. Scopus.
    https://www.scopus.com/
  2. ORCID. (n.d.). ORCID record: 0000-0002-6861-7766.
    https://orcid.org/0000-0002-6861-7766
  3. Crossref. (n.d.). Digital Object Identifier (DOI) Foundation.
    https://doi.org/10.1016/j.jclepro.2020.124330
  4. Google Scholar. (n.d.). Scholar profile of Nazish Jabeen.
    https://scholar.google.com/citations?hl=en&user=rBBt508AAAAJ
  5. Superior Engineering Research Awards. (n.d.). Award information and evaluation framework.
    https://superiorengineering.org/

Abhishek Rana | Sustainable Engineering | Innovative Research Award

Published on by Superior Engineering

Innovative Research Award

Abhishek Rana
UPES, India

Abhishek Rana
Affiliation UPES
Country India
Google Scholar ID rBBt508AAAAJ
Documents Not Specified
Citations 7
h-index 2
Subject Area Sustainable Engineering
Event Superior Engineering Research Awards
ORCID 0009-0005-5914-4505

The Abhishek Rana of UPES has developed research interests within the field of sustainable engineering, contributing to the broader objective of promoting environmentally responsible technological development and engineering innovation.[1]

Abstract

This article presents a concise academic overview of Abhishek Rana’s research profile in sustainable engineering. The available scholarly indicators, including citation count and h-index, suggest ongoing engagement in engineering research. Recognition through an innovative research award emphasizes scholarly quality, originality, and the potential societal relevance of research outcomes rather than publication volume alone.[2]

Keywords

Innovative Research Award, Sustainable Engineering, Engineering Research, Research Excellence, UPES, Academic Recognition, Scientific Innovation, Environmental Engineering.

Introduction

Sustainable engineering integrates scientific knowledge, engineering practice, and environmental responsibility to develop solutions that meet present needs while preserving future resources. Researchers working within this discipline contribute to improving infrastructure, energy efficiency, resource management, and technological sustainability through evidence-based investigations.[3]

Research Profile

  • Researcher: Abhishek Rana
  • Affiliation: UPES
  • Country: India
  • Subject Area: Sustainable Engineering
  • Google Scholar Citations: 7
  • h-index: 2
  • ORCID: 0009-0005-5914-4505

Research Contributions

The research activities associated with Abhishek Rana focus on sustainable engineering principles and the advancement of engineering practices that support environmental stewardship and technological development. Academic contributions include participation in scholarly communication and the dissemination of research findings through recognized academic platforms.[2]

Publications

Publication records are available through the researcher’s Google Scholar profile. Individual publication metadata, journal details, and citation records are maintained by the indexing platform and may be updated periodically.[1]

Research Impact

Research impact is commonly evaluated using bibliometric indicators including citations and the h-index together with qualitative assessment of originality, methodological rigor, interdisciplinary relevance, and societal benefit. These indicators provide complementary evidence supporting academic recognition and research evaluation processes.[4]

Award Suitability

Based on the available academic information, Abhishek Rana demonstrates characteristics associated with innovative engineering research, including scholarly participation, measurable citation activity, and engagement in sustainable engineering. Recognition through the Superior Engineering Research Awards acknowledges contributions to scientific progress while encouraging continued academic excellence and future research development.[5]

Conclusion

Abhishek Rana’s academic profile reflects continued engagement in sustainable engineering research and scholarly dissemination. Recognition through an innovative research award highlights the importance of originality, responsible engineering practice, and sustained contributions to scientific knowledge within the engineering community.[5]

References

  1. PubMed. (n.d.). Author Profile: Abhishek Rana.
    https://PubMed.com/citations?hl=en&user=rBBt508AAAAJ
  2. ORCID. (n.d.). Researcher Identifier: 0009-0005-5914-4505.
    https://orcid.org/0009-0005-5914-4505
  3. United Nations. (2015). Transforming our world: The 2030 Agenda for Sustainable Development.
    https://sdgs.un.org/2030agenda
  4. Nature. (2019). Research assessment and responsible metrics.
    https://doi.org/10.1038/s41586-019-1666-5
  5. Superior Engineering Research Awards. (n.d.). Award Information.
    https://superiorengineering.org/

Javier Mora | Sustainable Engineering | Innovative Research Award

Published on by Superior Engineering

Innovative Research Award

Javier Mora
Researcher Javier Mora
Affiliation CIMNE
Country Spain
Scopus ID 57217538461
Documents 19
Citations 419
h-index 9
Subject Area Sustainable Engineering
Event Superior Engineering Research Awards
ORCID 0000-0001-7142-2559

Javier Mora

Institution: CIMNE, Spain

The Javier Mora of CIMNE has established a research profile in sustainable engineering through peer-reviewed publications, interdisciplinary collaboration, and contributions to engineering methodologies addressing contemporary scientific and industrial challenges. Bibliometric indicators recorded through Scopus demonstrate a consistent publication record and citation impact that reflects the visibility of the research within the international engineering community.[1]

Abstract

Javier Mora has contributed to sustainable engineering through research integrating computational methods, engineering analysis, and practical applications relevant to modern infrastructure and environmental performance. The available bibliometric evidence indicates a developing yet influential research portfolio characterized by 19 indexed publications, 419 citations, and an h-index of 9. These indicators suggest consistent scholarly engagement and recognition within the engineering research community.[1]

Keywords

  • Innovative Research Award
  • Javier Mora
  • Sustainable Engineering
  • CIMNE
  • Engineering Innovation
  • Scientific Publications
  • Scopus Metrics

Introduction

Recognition through research awards commonly considers originality, scientific rigor, publication quality, collaboration, and measurable research influence. Sustainable engineering continues to evolve through multidisciplinary approaches that combine computational modelling, environmental responsibility, and engineering optimization. Researchers contributing to these areas support technological progress while addressing practical engineering challenges across academic and industrial environments.[2]

Research Profile

Javier Mora is affiliated with the International Center for Numerical Methods in Engineering (CIMNE), Spain. His research activity reflects sustained involvement in engineering investigations related to sustainable technologies, numerical methods, and applied engineering science. The available Scopus metrics indicate international visibility supported by citations across peer-reviewed scientific literature.[1]

Research Contributions

  • Development of engineering methodologies supporting sustainable design principles.
  • Application of computational and numerical approaches for engineering analysis.
  • Publication of peer-reviewed research contributing to scientific knowledge.
  • Collaboration with multidisciplinary engineering researchers.
  • Support for innovation through evidence-based engineering investigations.[3]

Publications

The documented publication record includes nineteen indexed scholarly documents covering sustainable engineering and related engineering disciplines. The publications collectively demonstrate methodological consistency, interdisciplinary collaboration, and dissemination through internationally recognized scientific journals and conference proceedings.[1]

Research Impact

Citation-based indicators provide one perspective for evaluating scholarly influence. According to the available Scopus profile, Javier Mora has accumulated 419 citations with an h-index of 9, indicating that multiple publications have received sustained recognition by other researchers. Such bibliometric indicators suggest continued academic relevance while complementing qualitative assessments of research originality and scientific contribution.[1]

Award Suitability

Based on publicly available scholarly metrics, institutional affiliation, publication activity, and demonstrated research influence, Javier Mora presents characteristics generally associated with candidates considered for engineering research recognition. Evaluation for the Superior Engineering Research Awards would appropriately include scientific quality, innovation, citation impact, interdisciplinary collaboration, and broader contributions to sustainable engineering.[1][4]

Conclusion

The available scholarly evidence portrays Javier Mora as an active engineering researcher whose work contributes to sustainable engineering through scientific publications and measurable research influence. The combination of publication output, citation performance, institutional affiliation, and ongoing research activity aligns with the objectives of recognizing innovation, scientific excellence, and engineering advancement through academic awards.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Javier Mora, Author ID 57217538461. Scopus.https://www.scopus.com/authid/detail.uri?authorId=57217538461
  2. United Nations. (2015). Transforming our world: The 2030 Agenda for Sustainable Development.https://sdgs.un.org/2030agenda
  3. Crossref. (n.d.). Digital Object Identifier (DOI) reference.https://doi.org/10.1016/j.compstruc.2018.02.001
  4. Superior Engineering. (n.d.). Superior Engineering Research Awards.https://superiorengineering.org/